FW599_Model_Selection

R Markdown

library(MuMIn)
library(boot)

dredge(global.model, beta = c("none", "sd", "partial.sd"), evaluate = TRUE,

rank = "AICc", fixed = NULL, m.lim = NULL, m.min, m.max, subset,

trace = FALSE, varying, extra, ct.args = NULL, ...)

set.seed(126) #So we all start at the same place in the random number generator
n <- 50 #sample size
a <- 5
sdy <- 3
y <- rnorm(n, mean = a, sd = sdy)
hist(y)

x1=runif(n)
x2=runif(n)
x3=runif(n)
data=data.frame(y,x1,x2,x3)
reg=glm(y~.,data=data)
summary(reg)  #Nothing "significant". R^2 very small. Bad, bad hypothesis testing (joke)!

## 
## Call:
## glm(formula = y ~ ., data = data)
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  4.43968    1.09360   4.060 0.000189 ***
## x1           1.51854    1.21482   1.250 0.217620    
## x2          -0.06814    1.16458  -0.059 0.953599    
## x3          -1.84568    1.18953  -1.552 0.127612    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 5.773507)
## 
##     Null deviance: 289.60  on 49  degrees of freedom
## Residual deviance: 265.58  on 46  degrees of freedom
## AIC: 235.39
## 
## Number of Fisher Scoring iterations: 2

options(na.action = "na.fail")
dredge(reg,rank = "AIC") #That is terrible! Complete nonsense. But?

## Fixed term is "(Intercept)"

## Global model call: glm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2     x3 df   logLik   AIC delta weight
## 5   5.256                -1.914  3 -113.530 233.1  0.00  0.228
## 6   4.406 1.516          -1.847  4 -112.696 233.4  0.33  0.193
## 1   4.384                        2 -114.859 233.7  0.66  0.164
## 2   3.519 1.601                  3 -113.974 233.9  0.89  0.146
## 7   5.265       -0.01949 -1.914  4 -113.529 235.1  2.00  0.084
## 8   4.440 1.519 -0.06814 -1.846  5 -112.694 235.4  2.33  0.071
## 3   4.414       -0.05806         3 -114.857 235.7  2.66  0.060
## 4   3.573 1.605 -0.10800         4 -113.970 235.9  2.88  0.054
## Models ranked by AIC(x)

Why was x3 chosen in the "best model". Hint look at the frequentist glm analysis above?

Answer: Because x3 has the lowest p-value.

plot(x3,y,pch=19)
abline(dredge(reg,rank = "AIC")[1,1],dredge(reg,rank = "AIC")[1,4],lwd=3,col="blue")

## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"

Makes sense now. Random data looks like patterns.

This is why people sometimes get into trouble after taking hallucinogens (joke)

#But we know that AIC can retain more complex models. Let's use AICc.
dredge(reg,rank = "AICc") #better? Answer: Yes because AICc supported simpler models and ranked more complex models lower.

## Fixed term is "(Intercept)"

## Global model call: glm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2     x3 df   logLik  AICc delta weight
## 5   5.256                -1.914  3 -113.530 233.6  0.00  0.241
## 1   4.384                        2 -114.859 234.0  0.39  0.199
## 6   4.406 1.516          -1.847  4 -112.696 234.3  0.70  0.170
## 2   3.519 1.601                  3 -113.974 234.5  0.89  0.155
## 7   5.265       -0.01949 -1.914  4 -113.529 235.9  2.37  0.074
## 3   4.414       -0.05806         3 -114.857 236.2  2.66  0.064
## 8   4.440 1.519 -0.06814 -1.846  5 -112.694 236.8  3.17  0.049
## 4   3.573 1.605 -0.10800         4 -113.970 236.8  3.25  0.048
## Models ranked by AICc(x)

#What if we use BIC?
dredge(reg,rank = "BIC") #Better? Answer: BIc supports the simplest model, and is best for making inferences.

## Fixed term is "(Intercept)"

## Global model call: glm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2     x3 df   logLik   BIC delta weight
## 1   4.384                        2 -114.859 237.5  0.00  0.427
## 5   5.256                -1.914  3 -113.530 238.8  1.25  0.228
## 2   3.519 1.601                  3 -113.974 239.7  2.14  0.146
## 6   4.406 1.516          -1.847  4 -112.696 241.0  3.50  0.074
## 3   4.414       -0.05806         3 -114.857 241.5  3.91  0.060
## 7   5.265       -0.01949 -1.914  4 -113.529 242.7  5.17  0.032
## 4   3.573 1.605 -0.10800         4 -113.970 243.6  6.05  0.021
## 8   4.440 1.519 -0.06814 -1.846  5 -112.694 244.9  7.41  0.011
## Models ranked by BIC(x)

#What if we don't include an intercept only model, which many people advocate for including in our department.
dredge(reg,rank = "AICc",m.lim=c(1,3))  #What might you conclude? Answer: Removing the intercept can allow for false information, overstating the signifcance of the next best model (6).

## Fixed term is "(Intercept)"

## Global model call: glm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2     x3 df   logLik  AICc delta weight
## 5   5.256                -1.914  3 -113.530 233.6  0.00  0.301
## 6   4.406 1.516          -1.847  4 -112.696 234.3  0.70  0.212
## 2   3.519 1.601                  3 -113.974 234.5  0.89  0.193
## 7   5.265       -0.01949 -1.914  4 -113.529 235.9  2.37  0.092
## 3   4.414       -0.05806         3 -114.857 236.2  2.66  0.080
## 8   4.440 1.519 -0.06814 -1.846  5 -112.694 236.8  3.17  0.062
## 4   3.573 1.605 -0.10800         4 -113.970 236.8  3.25  0.059
## Models ranked by AICc(x)

That was inference. Let's also compare to crossvalidation for prediction

For each of n data points the model is fit against all other data and used to predict the left out data point

This is a special case of k-fold crossvalidation where k=n.

If k = 10, then the data are split into 10 groups.

The model is fit on 9 groups and tested against each of the 10 groups

The error is the MSE, or the sum of square residuals divided by n.

That is, we look at the deviation from the model, square it so that

positive and negative residuals are both positive, add them up, and divide by n

The is the same as the average of the squared error, hence the name mean squared error

####################
loocv.err123=cv.glm(data, glm(y~.,data=data))
loocv.err1=cv.glm(data, glm(y~x1,data=data))
loocv.err2=cv.glm(data, glm(y~x2,data=data))
loocv.err3=cv.glm(data, glm(y~x3,data=data))
loocv.err12=cv.glm(data, glm(y~x1 + x2,data=data))
loocv.err13=cv.glm(data, glm(y~x1 + x3,data=data))
loocv.err23=cv.glm(data, glm(y~x2 + x3,data=data))
loocv.err0=cv.glm(data, glm(y~1,data=data))

delta[1] is prediction error.

Which model crossvalidates with the lowest error? Answer: x3 has the lowest error.

How does this compare to AIC, p-values, and BIC? Answer: This supports the best models predicted by AIC, p-values, and BIC.

loocv.err123$delta[1] 

## [1] 6.286341

loocv.err1$delta[1]

## [1] 6.078075

loocv.err2$delta[1]

## [1] 6.239039

loocv.err3$delta[1]

## [1] 5.994776

loocv.err12$delta[1]

## [1] 6.309027

loocv.err13$delta[1]

## [1] 6.051982

loocv.err23$delta[1]

## [1] 6.20467

loocv.err0$delta[1]

## [1] 6.030737

Re-run this a few times with new random values and compare crossvalidation

to AIC, AICc, and BIC. We will then take a formal look at these information criteria

Back to frequentist hypothesis testing

#Simple and elegant if (1) predictors not correlated, and (2) there are not too many of them.
summary(reg)

## 
## Call:
## glm(formula = y ~ ., data = data)
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  4.43968    1.09360   4.060 0.000189 ***
## x1           1.51854    1.21482   1.250 0.217620    
## x2          -0.06814    1.16458  -0.059 0.953599    
## x3          -1.84568    1.18953  -1.552 0.127612    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 5.773507)
## 
##     Null deviance: 289.60  on 49  degrees of freedom
## Residual deviance: 265.58  on 46  degrees of freedom
## AIC: 235.39
## 
## Number of Fisher Scoring iterations: 2

#but how often is it wrong?

##run this code over and over
y <- rnorm(n, mean = a, sd = sdy)
x1=runif(n)
x2=runif(n)
x3=runif(n)
data=data.frame(y,x1,x2,x3)
reg=lm(y~.,data=data)
summary(reg)

## 
## Call:
## lm(formula = y ~ ., data = data)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -6.0101 -1.9252 -0.4762  1.6539  5.9913 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  7.85184    1.35120   5.811 5.55e-07 ***
## x1          -3.02496    1.36116  -2.222   0.0312 *  
## x2          -0.04978    1.32067  -0.038   0.9701    
## x3          -1.09914    1.53255  -0.717   0.4769    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 2.824 on 46 degrees of freedom
## Multiple R-squared:  0.101,  Adjusted R-squared:  0.04232 
## F-statistic: 1.722 on 3 and 46 DF,  p-value: 0.1757

dredge(reg,rank = "AICc")

## Fixed term is "(Intercept)"

## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df   logLik  AICc delta weight
## 2   7.264 -2.914                   3 -121.050 248.6  0.00  0.427
## 6   7.825 -3.023          -1.0990  4 -120.773 250.4  1.81  0.173
## 4   7.286 -2.916 -0.04066          4 -121.050 251.0  2.37  0.131
## 1   5.676                          2 -123.432 251.1  2.50  0.122
## 8   7.852 -3.025 -0.04978 -1.0990  5 -120.772 252.9  4.28  0.050
## 5   6.005                 -0.7198  3 -123.323 253.2  4.55  0.044
## 3   5.638         0.07503          3 -123.431 253.4  4.76  0.040
## 7   5.968         0.07189 -0.7194  4 -123.321 255.5  6.91  0.013
## Models ranked by AICc(x)

Answer, sometimes there is Type 1 error.

But (1) not nearly as often as with AIC, even though people think AIC is more immune to this

And (2) when type I error occurs with p-values it ALSO occurs with AIC, even corrected AIC

Let's formalize this with a simulation

Simulation

nummodels=500 #We will repeat the above 500 times with p-values, AIC, AICc, and BIC
pstor=rep(NA,nummodels)
AICstor=rep(NA,nummodels)
AICcstor=rep(NA,nummodels)
BICstor=rep(NA,nummodels)

dredgelistAIC=list()
dredgelistBIC=list()
dredgelistAICc=list()
n=50 #size of the dataset. Feel free to vary this!

for(i in 1:nummodels){ 
  y <- rnorm(n, mean = a, sd = sdy)
  x1=runif(n)
  x2=runif(n)
  x3=runif(n)
  data=data.frame(y,x1,x2,x3)
  reg=lm(y~.,data=data)
  pstor[i]=sum(summary(reg)$coefficients[2:4,4]<0.05) 
  AICcstor[i]=sum(!is.na(dredge(reg,rank = "AICc")[1,2:4]))
  AICstor[i]=sum(!is.na(dredge(reg,rank = "AIC")[1,2:4]))
  BICstor[i]=sum(!is.na(dredge(reg,rank = "BIC")[1,2:4]))
  dredgelistAICc[[i]]=dredge(reg,rank = "AICc")
  dredgelistAIC[[i]]=dredge(reg,rank = "AIC")
  dredgelistBIC[[i]]=dredge(reg,rank = "BIC")
  
  }

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## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
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## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
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## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
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## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"

pstor

##   [1] 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0 0
##  [38] 0 0 0 0 0 1 1 0 1 0 0 1 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 1 1 0 0 0 0 0 1 0 0
##  [75] 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0
## [112] 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 1 1 1 0 0 0 0 1 0 0 1 0
## [149] 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0
## [186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [223] 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
## [260] 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0
## [297] 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1
## [334] 0 0 0 1 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 0
## [371] 0 1 1 0 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
## [408] 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0
## [445] 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 1 0 0 0 2 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
## [482] 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0

AICcstor

##   [1] 0 0 0 0 0 1 0 2 1 0 0 1 0 0 0 1 0 1 0 0 1 0 0 0 2 0 0 0 0 0 0 1 0 1 1 1 0
##  [38] 0 1 0 2 0 1 1 0 1 1 0 1 0 0 0 1 0 1 0 1 0 0 0 1 2 1 1 1 1 1 0 0 0 0 1 0 0
##  [75] 1 0 0 0 0 1 0 0 1 1 1 0 0 1 0 0 1 0 0 0 0 1 0 2 0 0 1 1 0 1 1 1 1 1 0 0 1
## [112] 0 1 0 0 1 0 1 0 1 0 1 0 1 0 1 0 1 1 1 0 0 0 0 1 1 2 1 1 1 0 1 1 2 1 0 1 0
## [149] 0 0 0 0 0 1 0 2 1 1 0 0 0 0 1 1 0 1 0 0 1 2 0 0 0 0 0 2 0 1 0 0 0 1 1 1 1
## [186] 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 1 1
## [223] 0 1 0 0 0 1 1 0 1 1 2 1 0 0 0 2 1 0 1 0 0 1 0 0 0 1 1 0 1 1 0 1 1 1 0 0 0
## [260] 0 1 1 0 0 1 1 0 1 0 0 1 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 1 1 0 1 0 1 0 0 0
## [297] 0 0 1 0 1 0 2 0 1 1 0 0 0 0 0 1 0 0 1 1 1 1 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1
## [334] 0 0 0 2 0 0 0 0 1 0 0 1 1 1 1 0 1 0 0 0 0 2 1 0 0 0 1 0 1 0 1 0 0 0 1 1 0
## [371] 1 1 1 0 1 2 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 1 0 0 0 0 0 0 1
## [408] 0 0 0 1 0 0 0 1 0 0 0 0 1 0 1 0 0 1 0 1 0 0 3 2 1 0 0 1 0 0 0 1 0 0 1 0 1
## [445] 1 0 1 0 0 0 1 1 1 1 0 1 0 1 0 0 1 0 0 1 2 3 0 1 0 1 0 1 0 0 0 1 0 0 0 0 0
## [482] 0 0 0 0 0 0 1 0 1 1 0 0 0 0 1 1 0 0 0

AICstor

##   [1] 0 0 0 0 0 1 0 2 1 0 0 1 0 0 0 1 0 1 0 0 1 0 0 0 2 0 0 0 0 0 1 1 0 1 1 2 0
##  [38] 0 1 0 2 0 1 1 0 1 1 0 1 0 0 0 1 0 1 0 1 0 0 0 1 2 1 1 1 1 1 0 0 0 0 1 0 0
##  [75] 1 0 0 0 0 1 0 0 1 1 1 0 0 1 0 0 1 2 0 0 0 1 1 2 0 0 1 1 0 2 1 1 3 1 0 0 1
## [112] 0 1 0 0 1 0 1 1 1 0 1 0 1 0 3 0 1 1 1 0 0 0 0 1 1 2 1 1 1 0 1 1 2 1 0 1 0
## [149] 0 0 0 0 0 1 0 2 1 1 0 0 0 0 1 1 0 1 0 0 1 2 0 0 0 0 0 2 0 1 0 0 0 1 1 1 1
## [186] 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 1 1
## [223] 0 1 0 0 0 1 1 0 1 1 2 1 0 0 0 2 1 0 2 0 0 1 0 0 0 1 1 0 1 1 0 1 1 1 1 0 0
## [260] 0 1 1 0 0 1 1 0 1 0 0 2 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 1 1 0 1 0 1 0 0 0
## [297] 0 0 1 0 1 0 2 0 2 1 0 0 0 1 0 1 0 1 1 1 1 1 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1
## [334] 0 0 0 2 0 0 0 1 1 0 0 1 1 1 1 1 2 0 0 0 0 2 1 0 0 0 1 0 1 0 1 0 0 0 1 1 0
## [371] 1 1 1 0 1 2 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 1 0 0 1 1 1 1 0 1 0 0 0 0 0 0 1
## [408] 0 0 0 1 0 0 0 1 0 0 0 0 1 0 1 0 0 1 0 1 0 0 3 2 1 0 0 1 0 0 0 2 0 0 1 1 1
## [445] 1 0 1 2 1 0 2 1 1 1 0 1 1 1 0 0 1 0 0 1 2 3 0 1 0 1 0 2 1 0 0 1 0 0 0 1 0
## [482] 0 0 0 0 0 0 1 0 1 1 0 1 0 0 1 1 0 0 0

par(mfrow=c(2,2),mar=c(5,5,2,2))
barplot(c(sum(pstor),sum(AICcstor),sum(AICstor), sum(BICstor)),col="gray",names.arg=c("p","AICc","AIC", "BIC"),ylab="# included variables")
plot(jitter(pstor,0.5),jitter(AICstor,0.5))
plot(jitter(pstor,0.5),jitter(AICcstor,0.5))
plot(jitter(pstor,0.5),jitter(BICstor,0.5))

Note: this isn't completely fair because in practice you might exclude instances where intercept only model had small deltaAIC

Let's look at when there is a Type I error with p-values

To cut down on the number, let's look at subset with two errors

which(pstor>1)

## [1] 233 465 466

dredgelistAIC[which(pstor>1)]

## [[1]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)      x1    x2     x3 df   logLik   AIC delta weight
## 7   4.986         2.680 -2.164  4 -113.175 234.4  0.00  0.401
## 8   5.482 -1.1060 2.883 -2.266  5 -112.762 235.5  1.17  0.223
## 3   4.045         2.788         3 -115.098 236.2  1.85  0.159
## 5   6.426               -2.287  3 -115.868 237.7  3.39  0.074
## 4   4.388 -0.8422 2.946         4 -114.875 237.7  3.40  0.073
## 6   6.701 -0.5050       -2.338  4 -115.789 239.6  5.23  0.029
## 1   5.489                       2 -117.802 239.6  5.25  0.029
## 2   5.600 -0.2193               3 -117.788 241.6  7.22  0.011
## Models ranked by AIC(x) 
## 
## [[2]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1    x2     x3 df   logLik   AIC delta weight
## 4   2.165 4.105 3.044         4 -122.831 253.7  0.00  0.526
## 8   2.101 4.084 3.017 0.1651  5 -122.823 255.6  1.99  0.195
## 2   4.017 3.468               3 -125.158 256.3  2.66  0.139
## 6   3.704 3.411       0.6447  4 -125.055 258.1  4.45  0.057
## 3   4.251       2.245         3 -126.651 259.3  5.64  0.031
## 1   5.426                     2 -127.811 259.6  5.96  0.027
## 7   3.970       2.158 0.6250  4 -126.561 261.1  7.46  0.013
## 5   4.941             0.9279  3 -127.617 261.2  7.57  0.012
## Models ranked by AIC(x) 
## 
## [[3]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1     x2     x3 df   logLik   AIC delta weight
## 8   6.912 -2.853 2.0000 -2.839  5 -110.254 230.5  0.00  0.337
## 6   7.079 -2.227        -2.256  4 -111.511 231.0  0.51  0.261
## 5   5.799               -1.994  3 -113.403 232.8  2.30  0.107
## 2   5.810 -1.956                3 -113.484 233.0  2.46  0.099
## 1   4.800                       2 -114.867 233.7  3.23  0.067
## 7   5.542        0.9743 -2.242  4 -113.097 234.2  3.69  0.053
## 4   5.557 -2.240 1.0210         4 -113.153 234.3  3.80  0.050
## 3   4.665        0.3470         3 -114.827 235.7  5.15  0.026
## Models ranked by AIC(x)

dredgelistAICc[which(pstor>1)]

## [[1]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)      x1    x2     x3 df   logLik  AICc delta weight
## 7   4.986         2.680 -2.164  4 -113.175 235.2  0.00  0.396
## 3   4.045         2.788         3 -115.098 236.7  1.48  0.189
## 8   5.482 -1.1060 2.883 -2.266  5 -112.762 236.9  1.65  0.174
## 5   6.426               -2.287  3 -115.868 238.3  3.02  0.088
## 4   4.388 -0.8422 2.946         4 -114.875 238.6  3.40  0.072
## 1   5.489                       2 -117.802 239.9  4.62  0.039
## 6   6.701 -0.5050       -2.338  4 -115.789 240.5  5.23  0.029
## 2   5.600 -0.2193               3 -117.788 242.1  6.86  0.013
## Models ranked by AICc(x) 
## 
## [[2]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1    x2     x3 df   logLik  AICc delta weight
## 4   2.165 4.105 3.044         4 -122.831 254.5  0.00  0.523
## 2   4.017 3.468               3 -125.158 256.8  2.29  0.167
## 8   2.101 4.084 3.017 0.1651  5 -122.823 257.0  2.46  0.153
## 6   3.704 3.411       0.6447  4 -125.055 259.0  4.45  0.057
## 3   4.251       2.245         3 -126.651 259.8  5.27  0.037
## 1   5.426                     2 -127.811 259.9  5.33  0.036
## 5   4.941             0.9279  3 -127.617 261.8  7.21  0.014
## 7   3.970       2.158 0.6250  4 -126.561 262.0  7.46  0.013
## Models ranked by AICc(x) 
## 
## [[3]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1     x2     x3 df   logLik  AICc delta weight
## 8   6.912 -2.853 2.0000 -2.839  5 -110.254 231.9  0.00  0.266
## 6   7.079 -2.227        -2.256  4 -111.511 231.9  0.04  0.261
## 5   5.799               -1.994  3 -113.403 233.3  1.46  0.128
## 2   5.810 -1.956                3 -113.484 233.5  1.62  0.118
## 1   4.800                       2 -114.867 234.0  2.12  0.092
## 7   5.542        0.9743 -2.242  4 -113.097 235.1  3.21  0.053
## 4   5.557 -2.240 1.0210         4 -113.153 235.2  3.32  0.050
## 3   4.665        0.3470         3 -114.827 236.2  4.30  0.031
## Models ranked by AICc(x)

dredgelistBIC[which(pstor>1)]

## [[1]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)      x1    x2     x3 df   logLik   BIC delta weight
## 3   4.045         2.788         3 -115.098 241.9  0.00  0.292
## 7   4.986         2.680 -2.164  4 -113.175 242.0  0.07  0.282
## 1   5.489                       2 -117.802 243.4  1.49  0.138
## 5   6.426               -2.287  3 -115.868 243.5  1.54  0.135
## 8   5.482 -1.1060 2.883 -2.266  5 -112.762 245.1  3.15  0.060
## 4   4.388 -0.8422 2.946         4 -114.875 245.4  3.46  0.052
## 6   6.701 -0.5050       -2.338  4 -115.789 247.2  5.29  0.021
## 2   5.600 -0.2193               3 -117.788 247.3  5.38  0.020
## Models ranked by BIC(x) 
## 
## [[2]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1    x2     x3 df   logLik   BIC delta weight
## 4   2.165 4.105 3.044         4 -122.831 261.3  0.00  0.397
## 2   4.017 3.468               3 -125.158 262.1  0.74  0.273
## 1   5.426                     2 -127.811 263.4  2.14  0.136
## 3   4.251       2.245         3 -126.651 265.0  3.73  0.061
## 8   2.101 4.084 3.017 0.1651  5 -122.823 265.2  3.90  0.056
## 6   3.704 3.411       0.6447  4 -125.055 265.8  4.45  0.043
## 5   4.941             0.9279  3 -127.617 267.0  5.66  0.023
## 7   3.970       2.158 0.6250  4 -126.561 268.8  7.46  0.010
## Models ranked by BIC(x) 
## 
## [[3]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1     x2     x3 df   logLik   BIC delta weight
## 1   4.800                       2 -114.867 237.6  0.00  0.293
## 5   5.799               -1.994  3 -113.403 238.5  0.99  0.179
## 6   7.079 -2.227        -2.256  4 -111.511 238.7  1.11  0.168
## 2   5.810 -1.956                3 -113.484 238.7  1.15  0.165
## 8   6.912 -2.853 2.0000 -2.839  5 -110.254 240.1  2.51  0.084
## 3   4.665        0.3470         3 -114.827 241.4  3.83  0.043
## 7   5.542        0.9743 -2.242  4 -113.097 241.8  4.29  0.034
## 4   5.557 -2.240 1.0210         4 -113.153 242.0  4.40  0.033
## Models ranked by BIC(x)

Does a type I error with p-values vanish when you use AIC?

Why or why not? Answer: No, AIC has much more type 1 error when making inferences.

So AIC suffers from Type I error, but how does BIC do with Type II error?

It has to have more Type II error than AIC, since AIC is very inclusive of weak interactions.

We'll repeat the same code, but simulate weak interactions and quantify when we DON'T retain variables

and when p > 0.05.

This is of course sample size dependent, so feel free to vary the sample size, "n", from the current 50 up to bigger numbers

nummodels=500
pstor=rep(NA,nummodels)
AICstor=rep(NA,nummodels)
AICcstor=rep(NA,nummodels)
BICstor=rep(NA,nummodels)

dredgelistAIC=list()
dredgelistBIC=list()
dredgelistAICc=list()
n=50
for(i in 1:nummodels){
  x1=runif(n)
  x2=runif(n)
  x3=runif(n)
  
  y <- rnorm(n, mean = a + 1*x1 - 0.1*x2 + 0.01*x3, sd = 0.1)
  
  data=data.frame(y,x1,x2,x3)
  reg=lm(y~.,data=data)
  pstor[i]=sum(summary(reg)$coefficients[2:4,4]>0.05)###NOTE CHANGE IN SIGN 
  AICcstor[i]=sum(is.na(dredge(reg,rank = "AICc")[1,2:4]))
  AICstor[i]=sum(is.na(dredge(reg,rank = "AIC")[1,2:4]))
  BICstor[i]=sum(is.na(dredge(reg,rank = "BIC")[1,2:4]))
  dredgelistAICc[[i]]=dredge(reg,rank = "AICc")
  dredgelistAIC[[i]]=dredge(reg,rank = "AIC")
  dredgelistBIC[[i]]=dredge(reg,rank = "BIC")
  
}

## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
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## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
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## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
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## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"
## Fixed term is "(Intercept)"

pstor

##   [1] 2 1 2 1 0 2 2 1 1 2 2 2 0 1 1 2 2 2 1 2 2 1 2 1 1 2 2 1 2 2 1 1 2 2 1 2 1
##  [38] 1 2 1 2 2 1 2 2 1 2 2 1 1 2 1 1 2 1 1 2 2 1 1 1 2 1 1 2 1 2 1 2 1 1 2 1 2
##  [75] 1 1 1 2 1 1 1 2 1 1 1 2 2 2 1 2 1 1 2 2 2 1 0 2 2 2 1 1 2 2 1 2 2 2 1 1 1
## [112] 0 1 2 0 1 2 1 1 2 2 2 1 1 1 1 1 2 1 2 2 2 2 2 2 1 1 2 1 1 2 2 1 2 1 2 2 1
## [149] 0 2 1 2 2 2 2 1 1 2 1 2 2 1 1 1 2 2 2 1 1 2 2 2 1 2 2 1 2 2 1 2 2 1 2 1 2
## [186] 1 2 0 0 2 0 1 2 2 2 1 0 2 1 2 1 2 1 1 2 2 2 2 2 1 1 1 0 1 1 2 2 2 2 1 2 2
## [223] 2 1 2 2 2 1 1 1 2 2 1 2 1 2 2 1 2 2 1 2 1 1 2 2 1 1 1 2 2 1 2 1 1 2 2 1 2
## [260] 2 2 2 2 1 0 1 1 1 2 1 2 2 2 2 2 2 1 1 2 2 1 1 2 2 2 1 0 1 2 1 2 1 1 2 2 2
## [297] 1 2 2 2 0 1 1 2 1 2 2 1 1 2 1 1 1 1 1 1 1 1 1 2 1 1 1 2 1 1 2 2 2 1 1 2 2
## [334] 2 2 2 2 2 2 2 2 1 2 2 1 1 2 2 2 2 2 2 1 1 1 2 1 1 2 2 1 2 1 1 2 1 2 1 2 1
## [371] 2 2 1 1 1 1 2 0 2 1 2 1 1 2 1 1 1 2 2 1 1 1 1 2 2 1 1 1 2 1 2 1 1 2 2 2 1
## [408] 1 2 2 0 1 2 2 1 1 2 2 2 1 1 1 1 1 2 2 2 1 1 2 0 2 2 2 1 1 2 2 2 2 2 2 2 0
## [445] 1 2 2 1 1 1 1 0 2 2 2 1 1 2 2 2 1 1 1 2 1 2 2 1 2 2 2 2 2 2 2 1 1 1 1 1 1
## [482] 2 2 1 2 1 2 1 2 2 1 2 2 1 1 1 1 1 2 2

AICcstor

##   [1] 1 1 2 1 0 1 1 1 1 2 2 1 0 1 1 2 2 1 1 2 1 1 2 1 1 2 2 0 1 1 1 1 1 1 1 2 1
##  [38] 1 1 0 2 2 1 2 2 1 2 1 1 1 1 1 0 2 1 1 2 1 1 1 1 2 1 1 1 0 2 1 1 1 1 2 1 1
##  [75] 1 1 1 2 1 1 1 2 1 1 1 2 2 1 1 2 1 1 2 2 2 1 0 2 2 2 1 1 2 1 1 2 2 2 1 1 1
## [112] 0 1 2 0 1 2 1 1 2 1 2 1 1 1 1 1 1 0 2 2 1 2 1 2 1 1 1 1 1 2 2 1 1 1 2 1 1
## [149] 0 1 1 1 2 2 2 1 1 1 1 2 1 1 1 1 2 2 2 1 1 2 1 2 1 1 1 1 1 1 1 1 1 1 2 1 2
## [186] 0 2 0 0 1 0 1 1 2 2 1 0 2 1 1 1 2 0 1 1 1 1 2 1 1 1 1 0 1 1 2 1 2 1 1 2 1
## [223] 1 1 2 1 2 1 1 1 1 1 1 1 1 2 2 1 2 2 1 1 1 1 1 2 1 1 0 2 2 1 1 1 0 2 2 1 2
## [260] 2 1 1 1 1 0 1 1 1 1 1 2 1 1 1 2 1 1 0 2 1 1 1 1 1 1 1 0 1 2 0 2 1 1 1 1 1
## [297] 1 1 2 1 0 1 1 1 1 2 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 2 1 1 1 2 2 1 0 2 2
## [334] 1 2 2 1 1 1 2 1 1 1 1 1 0 2 1 2 1 2 2 1 1 0 2 1 1 1 1 1 2 1 0 2 1 1 1 1 1
## [371] 2 2 1 1 1 1 1 0 2 1 2 1 1 1 1 1 1 2 2 1 1 0 1 2 2 0 1 1 1 1 2 0 1 1 2 2 1
## [408] 1 2 1 0 1 1 2 0 1 0 1 1 0 0 1 1 1 2 2 1 1 1 0 0 1 1 2 1 1 1 1 2 1 2 2 1 0
## [445] 0 2 2 1 1 1 0 0 0 1 2 0 1 2 2 2 1 1 1 2 1 2 2 1 2 2 2 1 2 2 2 1 1 1 1 0 1
## [482] 1 1 1 2 1 1 1 2 2 1 1 1 1 1 1 1 0 2 2

AICstor

##   [1] 1 1 2 1 0 1 1 1 1 1 2 1 0 1 1 2 2 1 1 2 1 1 2 1 1 2 1 0 1 1 1 1 1 1 1 2 1
##  [38] 1 1 0 2 2 1 2 2 1 1 1 1 1 1 1 0 2 1 1 2 1 1 1 1 2 1 1 1 0 1 1 1 1 1 1 0 1
##  [75] 1 1 1 2 1 1 1 2 1 1 1 2 2 1 1 1 1 1 2 2 2 1 0 2 2 2 1 1 2 1 1 2 2 1 1 1 1
## [112] 0 1 2 0 1 1 1 1 2 1 2 1 1 1 0 1 1 0 2 2 1 2 0 2 1 1 1 1 1 2 2 1 0 1 1 1 1
## [149] 0 1 1 1 2 1 2 1 1 1 1 2 1 1 1 1 2 2 2 1 1 2 1 1 1 1 1 0 1 1 1 1 1 1 2 1 1
## [186] 0 2 0 0 1 0 1 1 2 2 1 0 1 1 1 1 2 0 1 1 1 1 2 1 1 1 1 0 1 1 2 1 1 1 1 2 1
## [223] 1 1 2 1 1 1 1 1 1 1 1 1 1 2 2 1 1 2 1 1 1 1 1 1 1 1 0 2 2 1 0 1 0 2 2 1 1
## [260] 2 1 1 1 1 0 1 1 1 1 1 2 1 1 1 2 1 1 0 2 1 0 1 1 1 1 1 0 1 2 0 2 1 1 1 1 1
## [297] 1 1 2 1 0 1 1 1 1 2 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 2 1 0 1 1 2 1 0 2 2
## [334] 1 2 2 1 1 1 2 0 1 1 1 1 0 2 1 1 1 2 2 1 1 0 1 1 1 1 1 1 2 1 0 2 1 1 1 1 1
## [371] 2 1 1 1 0 1 1 0 2 1 2 1 1 1 1 0 1 2 2 1 1 0 1 2 1 0 1 1 1 1 2 0 1 0 2 2 1
## [408] 1 1 1 0 1 1 1 0 1 0 1 1 0 0 0 1 1 2 2 1 1 1 0 0 1 1 2 1 1 1 1 2 1 1 2 0 0
## [445] 0 2 2 1 1 1 0 0 0 1 1 0 0 2 2 2 1 1 1 0 1 2 1 1 2 1 2 1 2 2 2 1 1 1 1 0 1
## [482] 1 1 1 2 1 1 1 2 1 1 1 1 1 1 1 1 0 1 2

BICstor

##   [1] 2 1 2 1 0 2 2 1 1 2 2 1 0 1 1 2 2 1 1 2 2 1 2 1 1 2 2 1 2 2 1 1 2 2 1 2 1
##  [38] 1 2 1 2 2 1 2 2 1 2 2 1 1 2 1 1 2 1 1 2 2 1 1 1 2 1 1 2 1 2 1 2 1 1 2 1 2
##  [75] 1 1 1 2 1 1 1 2 1 1 1 2 2 2 1 2 1 1 2 2 2 1 0 2 2 2 1 1 2 2 1 2 2 2 1 1 1
## [112] 0 1 2 0 1 2 1 1 2 2 2 1 1 1 2 1 1 1 2 2 2 2 1 2 1 1 2 1 1 2 2 1 2 1 2 1 1
## [149] 0 2 1 2 2 2 2 1 2 2 1 2 2 1 1 1 2 2 2 1 1 2 2 2 1 2 2 1 2 2 1 2 2 1 2 1 2
## [186] 1 2 0 0 2 0 1 2 2 2 1 0 2 1 2 1 2 1 1 1 2 2 2 2 1 1 1 0 1 1 2 2 2 2 1 2 2
## [223] 2 1 2 1 2 1 1 1 2 2 1 2 1 2 2 1 2 2 1 2 1 1 2 2 1 1 1 2 2 1 1 1 1 2 2 1 2
## [260] 2 1 2 2 1 0 1 1 1 1 1 2 2 2 2 2 2 1 2 2 2 1 1 2 2 2 1 0 1 2 1 2 1 1 2 2 2
## [297] 1 2 2 2 0 1 1 2 1 2 2 1 1 2 1 1 1 1 1 1 1 1 1 2 1 1 1 2 1 1 2 2 2 1 1 2 2
## [334] 2 2 2 1 2 2 2 2 1 2 2 1 1 2 2 2 1 2 2 1 1 1 2 1 1 2 2 1 2 1 0 2 1 2 1 2 1
## [371] 2 2 1 1 2 1 2 0 2 1 2 1 1 2 1 1 1 2 2 1 1 1 1 2 2 1 1 1 2 1 2 2 1 2 2 2 1
## [408] 1 2 1 0 1 2 2 1 1 2 2 2 0 1 1 1 1 2 2 2 1 1 2 0 1 2 2 1 1 1 2 2 1 2 2 2 0
## [445] 1 2 2 1 1 1 1 0 2 1 2 0 1 2 2 2 1 1 1 2 1 2 2 1 2 2 2 2 2 2 2 1 1 1 1 1 1
## [482] 2 2 1 2 2 2 1 2 2 1 2 1 1 1 1 1 1 2 2

#compare among criteria, remember there are 500 fits
dredgelistAIC[[1]]

## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 4   4.924 1.081 -0.09767           4  41.418 -74.8   0.00  0.429
## 2   4.877 1.057                    3  40.059 -74.1   0.72  0.299
## 8   4.922 1.081 -0.09725  0.00311  5  41.420 -72.8   2.00  0.158
## 6   4.870 1.058           0.01343  4  40.090 -72.2   2.66  0.114
## 1   5.375                          2 -15.471  34.9 109.78  0.000
## 3   5.237        0.22920           3 -14.602  35.2 110.04  0.000
## 5   5.408                -0.07052  3 -15.376  36.8 111.59  0.000
## 7   5.261        0.22290 -0.04265  4 -14.566  37.1 111.97  0.000
## Models ranked by AIC(x)

dredgelistAICc[[1]]

## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 4   4.924 1.081 -0.09767           4  41.418 -73.9   0.00  0.418
## 2   4.877 1.057                    3  40.059 -73.6   0.35  0.350
## 8   4.922 1.081 -0.09725  0.00311  5  41.420 -71.5   2.47  0.121
## 6   4.870 1.058           0.01343  4  40.090 -71.3   2.66  0.111
## 1   5.375                          2 -15.471  35.2 109.15  0.000
## 3   5.237        0.22920           3 -14.602  35.7 109.67  0.000
## 5   5.408                -0.07052  3 -15.376  37.3 111.22  0.000
## 7   5.261        0.22290 -0.04265  4 -14.566  38.0 111.97  0.000
## Models ranked by AICc(x)

dredgelistBIC[[1]]

## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.877 1.057                    3  40.059 -68.4   0.00  0.563
## 4   4.924 1.081 -0.09767           4  41.418 -67.2   1.19  0.310
## 6   4.870 1.058           0.01343  4  40.090 -64.5   3.85  0.082
## 8   4.922 1.081 -0.09725  0.00311  5  41.420 -63.3   5.10  0.044
## 1   5.375                          2 -15.471  38.8 107.15  0.000
## 3   5.237        0.22920           3 -14.602  40.9 109.32  0.000
## 5   5.408                -0.07052  3 -15.376  42.5 110.87  0.000
## 7   5.261        0.22290 -0.04265  4 -14.566  44.8 113.16  0.000
## Models ranked by BIC(x)

dredgelistAIC[[2]]

## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   AIC  delta weight
## 4   4.990 1.056 -0.14190          4  45.415 -82.8   0.00  0.660
## 8   4.974 1.055 -0.14560 0.03611  5  45.697 -81.4   1.44  0.322
## 2   4.922 1.042                   3  40.466 -74.9   7.90  0.013
## 6   4.914 1.042          0.01738  4  40.520 -73.0   9.79  0.005
## 1   5.475                         2 -15.482  35.0 117.79  0.000
## 5   5.442                0.06582  3 -15.399  36.8 119.63  0.000
## 3   5.503       -0.05288          3 -15.415  36.8 119.66  0.000
## 7   5.470       -0.06072 0.07389  4 -15.312  38.6 121.45  0.000
## Models ranked by AIC(x)

dredgelistAICc[[2]]

## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik  AICc  delta weight
## 4   4.990 1.056 -0.14190          4  45.415 -81.9   0.00  0.706
## 8   4.974 1.055 -0.14560 0.03611  5  45.697 -80.0   1.91  0.272
## 2   4.922 1.042                   3  40.466 -74.4   7.53  0.016
## 6   4.914 1.042          0.01738  4  40.520 -72.2   9.79  0.005
## 1   5.475                         2 -15.482  35.2 117.16  0.000
## 5   5.442                0.06582  3 -15.399  37.3 119.26  0.000
## 3   5.503       -0.05288          3 -15.415  37.4 119.29  0.000
## 7   5.470       -0.06072 0.07389  4 -15.312  39.5 121.45  0.000
## Models ranked by AICc(x)

dredgelistBIC[[2]]

## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   BIC  delta weight
## 4   4.990 1.056 -0.14190          4  45.415 -75.2   0.00  0.803
## 8   4.974 1.055 -0.14560 0.03611  5  45.697 -71.8   3.35  0.151
## 2   4.922 1.042                   3  40.466 -69.2   5.99  0.040
## 6   4.914 1.042          0.01738  4  40.520 -65.4   9.79  0.006
## 1   5.475                         2 -15.482  38.8 113.97  0.000
## 5   5.442                0.06582  3 -15.399  42.5 117.72  0.000
## 3   5.503       -0.05288          3 -15.415  42.6 117.75  0.000
## 7   5.470       -0.06072 0.07389  4 -15.312  46.3 121.45  0.000
## Models ranked by BIC(x)

par(mfrow=c(2,2),mar=c(5,5,2,2))
barplot(c(sum(pstor),sum(AICcstor),sum(AICstor), sum(BICstor)),col="gray",names.arg=c("p","AICc","AIC", "BIC"),ylab="# included variables")
plot(jitter(pstor,0.5),jitter(AICstor,0.5))
plot(jitter(pstor,0.5),jitter(AICcstor,0.5))
plot(jitter(pstor,0.5),jitter(BICstor,0.5))

which(pstor>1) #you can see which models had at least 2 errors by p-values

##   [1]   1   3   6   7  10  11  12  16  17  18  20  21  23  26  27  29  30  33
##  [19]  34  36  39  41  42  44  45  47  48  51  54  57  58  62  65  67  69  72
##  [37]  74  78  82  86  87  88  90  93  94  95  98  99 100 103 104 106 107 108
##  [55] 114 117 120 121 122 128 130 131 132 133 134 135 138 141 142 144 146 147
##  [73] 150 152 153 154 155 158 160 161 165 166 167 170 171 172 174 175 177 178
##  [91] 180 181 183 185 187 190 193 194 195 198 200 202 205 206 207 208 209 216
## [109] 217 218 219 221 222 223 225 226 227 231 232 234 236 237 239 240 242 245
## [127] 246 250 251 253 256 257 259 260 261 262 263 269 271 272 273 274 275 276
## [145] 279 280 283 284 285 289 291 294 295 296 298 299 300 304 306 307 310 320
## [163] 324 327 328 329 332 333 334 335 336 337 338 339 340 341 343 344 347 348
## [181] 349 350 351 352 356 359 360 362 365 367 369 371 372 377 379 381 384 388
## [199] 389 394 395 399 401 404 405 406 409 410 413 414 417 418 419 425 426 427
## [217] 430 432 433 434 437 438 439 440 441 442 443 446 447 453 454 455 458 459
## [235] 460 464 466 467 469 470 471 472 473 474 475 482 483 485 487 489 490 492
## [253] 493 499 500

#what happens with IC critieria when there are at least 2 errors by p-values?
dredgelistAIC[which(pstor>1)] 

## [[1]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 4   4.924 1.081 -0.09767           4  41.418 -74.8   0.00  0.429
## 2   4.877 1.057                    3  40.059 -74.1   0.72  0.299
## 8   4.922 1.081 -0.09725  0.00311  5  41.420 -72.8   2.00  0.158
## 6   4.870 1.058           0.01343  4  40.090 -72.2   2.66  0.114
## 1   5.375                          2 -15.471  34.9 109.78  0.000
## 3   5.237        0.22920           3 -14.602  35.2 110.04  0.000
## 5   5.408                -0.07052  3 -15.376  36.8 111.59  0.000
## 7   5.261        0.22290 -0.04265  4 -14.566  37.1 111.97  0.000
## Models ranked by AIC(x) 
## 
## [[2]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC delta weight
## 2   4.985 0.9575                    3 37.630 -69.3  0.00  0.352
## 6   5.007 0.9769          -0.06986  4 38.455 -68.9  0.35  0.295
## 8   5.040 0.9861 -0.06118 -0.08439  5 39.009 -68.0  1.24  0.189
## 4   5.003 0.9607 -0.03913           4 37.863 -67.7  1.54  0.163
## 1   5.535                           2 -9.382  22.8 92.02  0.000
## 5   5.458                  0.16200  3 -8.659  23.3 92.58  0.000
## 3   5.514         0.04058           3 -9.344  24.7 93.95  0.000
## 7   5.407         0.08283  0.17870  4 -8.503  25.0 94.27  0.000
## Models ranked by AIC(x) 
## 
## [[3]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df logLik    AIC  delta weight
## 4   4.969 1.051 -0.06782          4 59.294 -110.6   0.00  0.387
## 8   4.954 1.044 -0.06333 0.03618  5 59.855 -109.7   0.88  0.249
## 2   4.940 1.041                   3 57.656 -109.3   1.28  0.204
## 6   4.924 1.034          0.04291  4 58.408 -108.8   1.77  0.159
## 1   5.435                         2 -3.844   11.7 122.28  0.000
## 5   5.368                0.14910  3 -3.054   12.1 122.70  0.000
## 3   5.415        0.04127          3 -3.793   13.6 124.17  0.000
## 7   5.337        0.05738 0.15420  4 -2.953   13.9 124.50  0.000
## Models ranked by AIC(x) 
## 
## [[4]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df logLik   AIC  delta weight
## 4   4.989 1.017 -0.08712          4 43.625 -79.3   0.00  0.432
## 2   4.946 1.017                   3 42.166 -78.3   0.92  0.273
## 8   4.978 1.014 -0.08551 0.02311  5 43.731 -77.5   1.79  0.177
## 6   4.934 1.013          0.02904  4 42.325 -76.6   2.60  0.118
## 1   5.395                         2 -8.787  21.6 100.82  0.000
## 5   5.316                0.15960  3 -8.144  22.3 101.54  0.000
## 3   5.436       -0.08245          3 -8.621  23.2 102.49  0.000
## 7   5.354       -0.07178 0.15470  4 -8.016  24.0 103.28  0.000
## Models ranked by AIC(x) 
## 
## [[5]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df  logLik    AIC  delta weight
## 4   4.989 0.9968 -0.05707            4  56.202 -104.4   0.00  0.331
## 2   4.961 1.0050                     3  55.133 -104.3   0.14  0.309
## 6   4.982 1.0060          -0.042040  4  55.619 -103.2   1.17  0.185
## 8   5.005 0.9983 -0.05367 -0.036060  5  56.570 -103.1   1.26  0.176
## 1   5.466                            2 -11.260   26.5 130.93  0.000
## 3   5.547        -0.19240            3 -10.395   26.8 131.19  0.000
## 5   5.470                 -0.008125  3 -11.259   28.5 132.92  0.000
## 7   5.541        -0.19350  0.012520  4 -10.392   28.8 133.19  0.000
## Models ranked by AIC(x) 
## 
## [[6]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC delta weight
## 2   4.935 1.023                    3  32.473 -58.9  0.00  0.525
## 4   4.950 1.018 -0.02208           4  32.532 -57.1  1.88  0.205
## 6   4.932 1.022          0.007287  4  32.480 -57.0  1.99  0.195
## 8   4.947 1.018 -0.02149 0.005174  5  32.536 -55.1  3.87  0.076
## 3   5.577       -0.24600           3 -11.993  30.0 88.93  0.000
## 1   5.443                          2 -13.257  30.5 89.46  0.000
## 7   5.563       -0.24290 0.025800  4 -11.977  32.0 90.90  0.000
## 5   5.418                0.052000  3 -13.196  32.4 91.34  0.000
## Models ranked by AIC(x) 
## 
## [[7]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   AIC delta weight
## 4   5.062 0.9026 -0.11370          4 41.051 -74.1  0.00  0.387
## 8   5.031 0.8869 -0.09967 0.07136  5 41.965 -73.9  0.17  0.355
## 6   4.969 0.8893          0.09158  4 40.151 -72.3  1.80  0.157
## 2   4.999 0.9107                   3 38.707 -71.4  2.69  0.101
## 5   5.393                 0.24440  3 -0.666   7.3 81.43  0.000
## 7   5.463        -0.11560 0.22050  4 -0.202   8.4 82.50  0.000
## 1   5.503                          2 -2.733   9.5 83.57  0.000
## 3   5.586        -0.16130          3 -1.855   9.7 83.81  0.000
## Models ranked by AIC(x) 
## 
## [[8]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2      x3 df  logLik   AIC delta weight
## 2   5.003 0.9732                    3  34.871 -63.7  0.00  0.357
## 4   5.035 0.9809 -0.077520          4  35.844 -63.7  0.05  0.348
## 6   4.987 0.9726           0.03516  4  35.047 -62.1  1.65  0.157
## 8   5.023 0.9801 -0.074230 0.02360  5  35.925 -61.9  1.89  0.139
## 1   5.471                           2 -10.454  24.9 88.65  0.000
## 5   5.448                  0.05125  3 -10.393  26.8 90.53  0.000
## 3   5.469         0.004414          3 -10.454  26.9 90.65  0.000
## 7   5.442         0.011670 0.05305  4 -10.390  28.8 92.52  0.000
## Models ranked by AIC(x) 
## 
## [[9]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik    AIC  delta weight
## 2   4.904 1.070                    3  53.131 -100.3   0.00  0.346
## 4   4.931 1.068 -0.05145           4  54.091 -100.2   0.08  0.333
## 8   4.912 1.068 -0.06040  0.03742  5  54.474  -98.9   1.31  0.180
## 6   4.892 1.071           0.01915  4  53.234  -98.5   1.79  0.141
## 1   5.484                          2 -13.629   31.3 131.52  0.000
## 3   5.532       -0.09455           3 -13.407   32.8 133.08  0.000
## 5   5.494                -0.01525  3 -13.625   33.2 133.51  0.000
## 7   5.525       -0.09804  0.01454  4 -13.403   34.8 135.07  0.000
## Models ranked by AIC(x) 
## 
## [[10]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2     x3 df logLik   AIC delta weight
## 6   4.949 0.9235           0.1055  4 43.080 -78.2  0.00  0.456
## 8   4.983 0.9273 -0.058500 0.0948  5 43.784 -77.6  0.59  0.339
## 4   5.034 0.9336 -0.078790         4 41.690 -75.4  2.78  0.114
## 2   4.994 0.9293                   3 40.480 -75.0  3.20  0.092
## 1   5.485                          2 -6.693  17.4 95.55  0.000
## 5   5.421                  0.1427  3 -5.998  18.0 96.16  0.000
## 3   5.504        -0.035650         3 -6.656  19.3 97.47  0.000
## 7   5.424        -0.005771 0.1417  4 -5.997  20.0 98.15  0.000
## Models ranked by AIC(x) 
## 
## [[11]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2         x3 df  logLik   AIC  delta weight
## 2   4.952 0.9766                      3  44.202 -82.4   0.00  0.495
## 4   4.972 0.9709 -0.03238             4  44.454 -80.9   1.50  0.234
## 6   4.956 0.9758          -0.0072130  4  44.212 -80.4   1.98  0.184
## 8   4.972 0.9709 -0.03228 -0.0005669  5  44.454 -78.9   3.50  0.086
## 1   5.469                             2 -10.977  26.0 108.36  0.000
## 3   5.559        -0.17970             3 -10.087  26.2 108.58  0.000
## 5   5.529                 -0.1289000  3 -10.611  27.2 109.62  0.000
## 7   5.594        -0.16300 -0.0922300  4  -9.901  27.8 110.20  0.000
## Models ranked by AIC(x) 
## 
## [[12]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC delta weight
## 4   5.006 0.9800 -0.09149           4 36.951 -65.9  0.00  0.380
## 2   4.967 0.9787                    3 35.504 -65.0  0.89  0.243
## 8   5.027 0.9807 -0.08359 -0.05432  5 37.347 -64.7  1.21  0.208
## 6   4.998 0.9796          -0.07010  4 36.148 -64.3  1.61  0.170
## 1   5.419                           2 -8.064  20.1 86.03  0.000
## 3   5.454        -0.08055           3 -7.872  21.7 87.65  0.000
## 5   5.445                 -0.05694  3 -7.990  22.0 87.88  0.000
## 7   5.471        -0.07431 -0.04290  4 -7.831  23.7 89.56  0.000
## Models ranked by AIC(x) 
## 
## [[13]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC  delta weight
## 2   4.964 0.9952                    3 49.178 -92.4   0.00  0.463
## 4   4.986 0.9875 -0.03586           4 49.467 -90.9   1.42  0.227
## 6   4.977 0.9927          -0.02479  4 49.352 -90.7   1.65  0.203
## 8   5.005 0.9835 -0.04023 -0.02951  5 49.713 -89.4   2.93  0.107
## 3   5.616        -0.22630           3 -5.072  16.1 108.50  0.000
## 1   5.503                           2 -6.400  16.8 109.16  0.000
## 7   5.685        -0.24130 -0.12280  4 -4.584  17.2 109.52  0.000
## 5   5.552                 -0.09857  3 -6.099  18.2 110.55  0.000
## Models ranked by AIC(x) 
## 
## [[14]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik    AIC  delta weight
## 2   4.950 0.9649                     3 55.961 -105.9   0.00  0.403
## 4   4.978 0.9695 -0.05473            4 56.749 -105.5   0.42  0.326
## 6   4.954 0.9651          -0.006867  4 55.978 -104.0   1.97  0.151
## 8   4.977 0.9695 -0.05511  0.001687  5 56.750 -103.5   2.42  0.120
## 1   5.419                            2 -4.976   14.0 119.88  0.000
## 3   5.401         0.03233            3 -4.953   15.9 121.83  0.000
## 5   5.412                  0.012750  3 -4.971   15.9 121.86  0.000
## 7   5.398         0.03057  0.007953  4 -4.951   17.9 123.82  0.000
## Models ranked by AIC(x) 
## 
## [[15]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   AIC  delta weight
## 4   4.963 1.034 -0.08611          4  35.187 -62.4   0.00  0.301
## 2   4.914 1.041                   3  34.159 -62.3   0.06  0.292
## 6   4.880 1.041          0.07022  4  34.849 -61.7   0.68  0.214
## 8   4.929 1.036 -0.07969 0.06212  5  35.742 -61.5   0.89  0.193
## 1   5.425                         2 -18.938  41.9 104.25  0.000
## 3   5.520       -0.18020          3 -18.402  42.8 105.18  0.000
## 5   5.400                0.05255  3 -18.893  43.8 106.16  0.000
## 7   5.501       -0.17670 0.03480  4 -18.381  44.8 107.14  0.000
## Models ranked by AIC(x) 
## 
## [[16]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik   AIC  delta weight
## 4   5.032 0.9696 -0.10740          4  40.715 -73.4   0.00  0.384
## 8   5.007 0.9613 -0.10600 0.05807  5  41.391 -72.8   0.65  0.278
## 2   4.982 0.9658                   3  39.041 -72.1   1.35  0.196
## 6   4.956 0.9572          0.06000  4  39.717 -71.4   2.00  0.142
## 1   5.456                          2 -12.356  28.7 102.14  0.000
## 5   5.360                 0.19210  3 -11.449  28.9 102.33  0.000
## 3   5.486        -0.06263          3 -12.286  30.6 104.00  0.000
## 7   5.389        -0.05929 0.19130  4 -11.383  30.8 104.20  0.000
## Models ranked by AIC(x) 
## 
## [[17]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   AIC  delta weight
## 4   4.996 0.9864 -0.07617            4 46.624 -85.2   0.00  0.414
## 2   4.955 0.9941                     3 45.255 -84.5   0.74  0.286
## 8   4.984 0.9862 -0.08621  0.032890  5 46.866 -83.7   1.52  0.194
## 6   4.952 0.9942           0.006817  4 45.266 -82.5   2.72  0.106
## 1   5.465                            2 -7.922  19.8 105.09  0.000
## 3   5.541        -0.15580            3 -7.243  20.5 105.74  0.000
## 5   5.471                 -0.011360  3 -7.919  21.8 107.09  0.000
## 7   5.527        -0.16790  0.039690  4 -7.203  22.4 107.65  0.000
## Models ranked by AIC(x) 
## 
## [[18]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2         x3 df logLik   AIC  delta weight
## 4   5.054 0.8914 -0.08390             4 48.073 -88.1   0.00  0.467
## 2   5.014 0.8882                      3 46.497 -87.0   1.15  0.263
## 8   5.054 0.8913 -0.08393 -0.0003316  5 48.073 -86.1   2.00  0.172
## 6   5.008 0.8921           0.0104200  4 46.514 -85.0   3.12  0.098
## 5   5.632                 -0.3874000  3 -2.257  10.5  98.66  0.000
## 7   5.683        -0.09177 -0.3987000  4 -1.999  12.0 100.14  0.000
## 1   5.451                             2 -6.021  16.0 104.19  0.000
## 3   5.475        -0.04862             3 -5.958  17.9 106.06  0.000
## Models ranked by AIC(x) 
## 
## [[19]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 4   4.959 1.072 -0.09786           4  37.919 -67.8   0.00  0.412
## 8   4.993 1.072 -0.10410 -0.05998  5  38.543 -67.1   0.75  0.283
## 2   4.916 1.068                    3  36.186 -66.4   1.47  0.198
## 6   4.940 1.068          -0.04819  4  36.564 -65.1   2.71  0.106
## 1   5.460                          2 -16.360  36.7 104.56  0.000
## 3   5.489       -0.06314           3 -16.274  38.5 106.39  0.000
## 5   5.486                -0.05054  3 -16.309  38.6 106.46  0.000
## 7   5.522       -0.06924 -0.05838  4 -16.207  40.4 108.25  0.000
## Models ranked by AIC(x) 
## 
## [[20]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik   AIC delta weight
## 2   4.967 0.9517                   3  35.668 -65.3  0.00  0.268
## 6   4.936 0.9331          0.08616  4  36.665 -65.3  0.01  0.267
## 8   4.976 0.9304 -0.07508 0.08906  5  37.575 -65.2  0.19  0.244
## 4   5.007 0.9498 -0.07211          4  36.475 -64.9  0.39  0.221
## 5   5.293                 0.31860  3 -10.068  26.1 91.47  0.000
## 7   5.349        -0.10740 0.32180  4  -9.784  27.6 92.90  0.000
## 1   5.441                          2 -12.237  28.5 93.81  0.000
## 3   5.495        -0.09867          3 -12.017  30.0 95.37  0.000
## Models ranked by AIC(x) 
## 
## [[21]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   AIC  delta weight
## 4   5.029 0.9337 -0.09516           4  44.607 -81.2   0.00  0.399
## 8   4.990 0.9419 -0.08701  0.05229  5  45.268 -80.5   0.68  0.284
## 2   4.970 0.9570                    3  42.706 -79.4   1.80  0.162
## 6   4.928 0.9646           0.06442  4  43.662 -79.3   1.89  0.155
## 3   5.605        -0.33940           3 -10.720  27.4 108.65  0.000
## 7   5.662        -0.34960 -0.08861  4 -10.509  29.0 110.23  0.000
## 1   5.435                           2 -13.496  31.0 112.21  0.000
## 5   5.464                 -0.05078  3 -13.434  32.9 114.08  0.000
## Models ranked by AIC(x) 
## 
## [[22]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC  delta weight
## 2   4.961 0.9879                    3 45.501 -85.0   0.00  0.318
## 6   4.993 0.9897          -0.06541  4 46.379 -84.8   0.24  0.281
## 4   4.990 0.9865 -0.05712           4 46.160 -84.3   0.68  0.226
## 8   5.016 0.9883 -0.05046 -0.05986  5 46.904 -83.8   1.19  0.175
## 1   5.463                           2 -9.566  23.1 108.13  0.000
## 3   5.503        -0.08182           3 -9.418  24.8 109.84  0.000
## 5   5.482                 -0.03684  3 -9.535  25.1 110.07  0.000
## 7   5.516        -0.07869 -0.02825  4 -9.400  26.8 111.80  0.000
## Models ranked by AIC(x) 
## 
## [[23]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df logLik   AIC  delta weight
## 2   4.946 1.036                   3 50.739 -95.5   0.00  0.478
## 6   4.932 1.037          0.02943  4 50.988 -94.0   1.50  0.226
## 4   4.957 1.038 -0.02495          4 50.888 -93.8   1.70  0.204
## 8   4.943 1.038 -0.02043 0.02651  5 51.087 -92.2   3.30  0.092
## 1   5.437                         2 -9.726  23.5 118.93  0.000
## 3   5.411        0.05149          3 -9.669  25.3 120.82  0.000
## 5   5.431                0.01357  3 -9.722  25.4 120.92  0.000
## 7   5.400        0.05516 0.02150  4 -9.658  27.3 122.79  0.000
## Models ranked by AIC(x) 
## 
## [[24]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2         x3 df  logLik   AIC  delta weight
## 2   4.927 1.058                      3  41.498 -77.0   0.00  0.477
## 4   4.946 1.059 -0.04505             4  41.865 -75.7   1.26  0.253
## 6   4.927 1.058          -0.0007143  4  41.498 -75.0   2.00  0.175
## 8   4.953 1.058 -0.04708 -0.0113300  5  41.883 -73.8   3.23  0.095
## 1   5.436                            2 -17.486  39.0 115.97  0.000
## 5   5.502                -0.1245000  3 -17.274  40.5 117.54  0.000
## 3   5.445       -0.01927             3 -17.480  41.0 117.95  0.000
## 7   5.526       -0.04352 -0.1343000  4 -17.243  42.5 119.48  0.000
## Models ranked by AIC(x) 
## 
## [[25]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC delta weight
## 2   5.019 0.8677                    3 39.453 -72.9  0.00  0.409
## 4   5.044 0.8888 -0.07171           4 40.137 -72.3  0.63  0.298
## 6   5.030 0.8750          -0.03188  4 39.599 -71.2  1.71  0.174
## 8   5.051 0.8929 -0.06832 -0.02242  5 40.210 -70.4  2.49  0.118
## 3   5.365         0.20280           3 -2.386  10.8 83.68  0.000
## 1   5.469                           2 -3.476  11.0 83.86  0.000
## 5   5.392                  0.16780  3 -2.699  11.4 84.30  0.000
## 7   5.318         0.17520  0.13300  4 -1.900  11.8 84.70  0.000
## Models ranked by AIC(x) 
## 
## [[26]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik   AIC  delta weight
## 4   4.981 0.9990 -0.08615          4  42.298 -76.6   0.00  0.346
## 2   4.942 0.9849                   3  41.168 -76.3   0.26  0.304
## 8   4.964 0.9934 -0.08632 0.04100  5  42.688 -75.4   1.22  0.188
## 6   4.925 0.9793          0.04075  4  41.535 -75.1   1.53  0.162
## 1   5.466                          2 -13.941  31.9 108.48  0.000
## 5   5.386                 0.16550  3 -13.255  32.5 109.11  0.000
## 3   5.393         0.13450          3 -13.630  33.3 109.86  0.000
## 7   5.318         0.12890 0.16240  4 -12.963  33.9 110.52  0.000
## Models ranked by AIC(x) 
## 
## [[27]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2         x3 df  logLik   AIC  delta weight
## 4   5.026 0.9863 -0.09321             4  45.923 -83.8   0.00  0.510
## 2   4.979 0.9742                      3  44.088 -82.2   1.67  0.221
## 8   5.029 0.9853 -0.09339 -0.0039240  5  45.926 -81.9   1.99  0.188
## 6   4.979 0.9744           0.0005246  4  44.088 -80.2   3.67  0.081
## 5   5.598                 -0.2444000  3 -10.045  26.1 109.94  0.000
## 1   5.480                             2 -11.467  26.9 110.78  0.000
## 7   5.585         0.02058 -0.2428000  4 -10.035  28.1 111.92  0.000
## 3   5.457         0.03986             3 -11.431  28.9 112.71  0.000
## Models ranked by AIC(x) 
## 
## [[28]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   AIC  delta weight
## 4   4.997 0.9531 -0.07555          4 50.421 -92.8   0.00  0.379
## 2   4.962 0.9570                   3 49.131 -92.3   0.58  0.284
## 8   4.980 0.9471 -0.07228 0.03553  5 50.700 -91.4   1.44  0.184
## 6   4.943 0.9495          0.04248  4 49.514 -91.0   1.81  0.153
## 5   5.278                 0.21700  3 -5.688  17.4 110.22  0.000
## 1   5.389                          2 -6.807  17.6 110.46  0.000
## 7   5.330        -0.10520 0.20620  4 -5.417  18.8 111.67  0.000
## 3   5.445        -0.12600          3 -6.430  18.9 111.70  0.000
## Models ranked by AIC(x) 
## 
## [[29]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1         x2      x3 df logLik   AIC  delta weight
## 2   4.972 0.9416                     3 50.457 -94.9   0.00  0.504
## 6   4.958 0.9415            0.03042  4 50.658 -93.3   1.60  0.226
## 4   4.969 0.9410  5.441e-03          4 50.465 -92.9   1.98  0.187
## 8   4.958 0.9415 -3.664e-05 0.03043  5 50.658 -91.3   3.60  0.083
## 1   5.484                            2 -8.024  20.0 114.96  0.000
## 3   5.438         9.642e-02          3 -7.775  21.5 116.46  0.000
## 5   5.469                   0.03442  3 -7.999  22.0 116.91  0.000
## 7   5.433         9.412e-02 0.01289  4 -7.772  23.5 118.46  0.000
## Models ranked by AIC(x) 
## 
## [[30]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   AIC delta weight
## 2   4.998 0.9263                   3 36.777 -67.6  0.00  0.449
## 4   5.030 0.9172 -0.04949          4 37.132 -66.3  1.29  0.236
## 6   4.983 0.9248          0.03519  4 36.996 -66.0  1.56  0.206
## 8   5.015 0.9155 -0.05052 0.03635  5 37.369 -64.7  2.81  0.110
## 3   5.572        -0.21930          3 -7.643  21.3 88.84  0.000
## 1   5.453                          2 -8.828  21.7 89.21  0.000
## 7   5.540        -0.22070 0.07168  4 -7.489  23.0 90.53  0.000
## 5   5.422                 0.06803  3 -8.696  23.4 90.95  0.000
## Models ranked by AIC(x) 
## 
## [[31]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   AIC  delta weight
## 4   4.979 1.065 -0.10280            4  42.668 -77.3   0.00  0.480
## 2   4.938 1.053                     3  41.007 -76.0   1.32  0.248
## 8   4.978 1.066 -0.10320  0.002164  5  42.668 -75.3   2.00  0.177
## 6   4.948 1.047          -0.015420  4  41.044 -74.1   3.25  0.095
## 5   5.666                -0.394800  3 -11.894  29.8 107.12  0.000
## 7   5.621        0.10880 -0.406100  4 -11.675  31.4 108.69  0.000
## 1   5.476                           2 -14.987  34.0 111.31  0.000
## 3   5.448        0.06095            3 -14.926  35.9 113.19  0.000
## Models ranked by AIC(x) 
## 
## [[32]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1      x2       x3 df  logLik   AIC  delta weight
## 2   4.931 1.016                   3  51.984 -98.0   0.00  0.507
## 6   4.941 1.019         -0.02238  4  52.141 -96.3   1.68  0.218
## 4   4.927 1.014 0.01211           4  52.015 -96.0   1.94  0.192
## 8   4.937 1.017 0.01136 -0.02212  5  52.169 -94.3   3.63  0.083
## 3   5.284       0.24540           3 -11.714  29.4 127.40  0.000
## 1   5.400                         2 -12.737  29.5 127.44  0.000
## 7   5.234       0.24570  0.09737  4 -11.477  31.0 128.92  0.000
## 5   5.351                0.09674  3 -12.512  31.0 128.99  0.000
## Models ranked by AIC(x) 
## 
## [[33]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1      x2         x3 df  logLik   AIC delta weight
## 4   4.989 1.051 -0.1096             4  37.223 -66.4  0.00  0.466
## 2   4.939 1.056                     3  35.654 -65.3  1.14  0.263
## 8   4.984 1.050 -0.1107  0.0111600  5  37.239 -64.5  1.97  0.174
## 6   4.939 1.056         -0.0001649  4  35.654 -63.3  3.14  0.097
## 1   5.480                           2 -12.060  28.1 94.57  0.000
## 3   5.548       -0.1555             3 -11.601  29.2 95.65  0.000
## 5   5.391                0.1541000  3 -11.628  29.3 95.70  0.000
## 7   5.457       -0.1708  0.1702000  4 -11.067  30.1 96.58  0.000
## Models ranked by AIC(x) 
## 
## [[34]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   AIC  delta weight
## 4   4.994 0.9829 -0.07138            4 41.530 -75.1   0.00  0.376
## 2   4.955 0.9808                     3 40.473 -74.9   0.11  0.355
## 8   4.997 0.9832 -0.07200 -0.006400  5 41.537 -73.1   1.99  0.139
## 6   4.954 0.9807           0.001789  4 40.473 -72.9   2.11  0.131
## 1   5.423                            2 -9.371  22.7  97.80  0.000
## 3   5.450        -0.04732            3 -9.309  24.6  99.68  0.000
## 5   5.405                  0.042780  3 -9.328  24.7  99.72  0.000
## 7   5.432        -0.04371  0.037870  4 -9.275  26.6 101.61  0.000
## Models ranked by AIC(x) 
## 
## [[35]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 4   4.990 1.040 -0.08514           4  44.403 -80.8   0.00  0.403
## 2   4.942 1.052                    3  43.146 -80.3   0.51  0.312
## 8   5.000 1.039 -0.08558 -0.01950  5  44.491 -79.0   1.82  0.162
## 6   4.951 1.051          -0.01803  4  43.218 -78.4   2.37  0.123
## 3   5.639       -0.24930           3 -11.584  29.2 109.97  0.000
## 1   5.518                          2 -12.761  29.5 110.33  0.000
## 7   5.668       -0.25020 -0.05910  4 -11.497  31.0 111.80  0.000
## 5   5.545                -0.05613  3 -12.686  31.4 112.18  0.000
## Models ranked by AIC(x) 
## 
## [[36]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2         x3 df  logLik   AIC  delta weight
## 4   4.995 1.017 -0.06834             4  53.906 -99.8   0.00  0.376
## 2   4.960 1.025                      3  52.842 -99.7   0.13  0.352
## 8   4.990 1.019 -0.07020  9.840e-03  5  53.936 -97.9   1.94  0.142
## 6   4.960 1.025           1.599e-06  4  52.842 -97.7   2.13  0.130
## 1   5.440                            2 -15.649  35.3 135.11  0.000
## 5   5.547                -2.082e-01  3 -14.759  35.5 135.33  0.000
## 3   5.550       -0.23790             3 -14.805  35.6 135.42  0.000
## 7   5.624       -0.19970 -1.768e-01  4 -14.166  36.3 136.14  0.000
## Models ranked by AIC(x) 
## 
## [[37]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   AIC delta weight
## 6   5.037 0.9424          -0.09717  4  38.951 -69.9  0.00  0.466
## 2   4.980 0.9522                    3  37.325 -68.7  1.25  0.249
## 8   5.042 0.9450 -0.01629 -0.09486  5  38.992 -68.0  1.92  0.179
## 4   4.993 0.9568 -0.03170           4  37.471 -66.9  2.96  0.106
## 1   5.486                           2 -10.294  24.6 94.49  0.000
## 5   5.586                 -0.18620  3  -9.409  24.8 94.72  0.000
## 7   5.527         0.14430 -0.20440  4  -8.937  25.9 95.78  0.000
## 3   5.431         0.11490           3 -10.000  26.0 95.90  0.000
## Models ranked by AIC(x) 
## 
## [[38]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   AIC  delta weight
## 2   4.945 0.9772                   3 46.797 -87.6   0.00  0.457
## 4   4.961 0.9874 -0.04051          4 47.197 -86.4   1.20  0.251
## 6   4.937 0.9710          0.02435  4 46.912 -85.8   1.77  0.189
## 8   4.953 0.9812 -0.04031 0.02394  5 47.310 -84.6   2.97  0.103
## 5   5.360                 0.23940  3 -3.136  12.3  99.86  0.000
## 7   5.297         0.12580 0.23370  4 -2.587  13.2 100.77  0.000
## 1   5.465                          2 -4.683  13.4 100.96  0.000
## 3   5.394         0.13440          3 -4.092  14.2 101.78  0.000
## Models ranked by AIC(x) 
## 
## [[39]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   AIC delta weight
## 2   5.006 0.9390                   3 43.680 -81.4  0.00  0.412
## 4   5.023 0.9490 -0.05316          4 44.332 -80.7  0.70  0.291
## 6   4.992 0.9329          0.03336  4 43.867 -79.7  1.63  0.183
## 8   5.013 0.9444 -0.04929 0.02100  5 44.404 -78.8  2.55  0.115
## 5   5.384                 0.20990  3 -4.983  16.0 97.33  0.000
## 1   5.496                          2 -6.049  16.1 97.46  0.000
## 7   5.321         0.11990 0.23460  4 -4.514  17.0 98.39  0.000
## 3   5.461         0.08407          3 -5.821  17.6 99.00  0.000
## Models ranked by AIC(x) 
## 
## [[40]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   AIC  delta weight
## 2   4.910 1.069                   3  46.102 -86.2   0.00  0.523
## 6   4.903 1.068          0.01401  4  46.143 -84.3   1.92  0.201
## 4   4.919 1.066 -0.01359          4  46.140 -84.3   1.92  0.200
## 8   4.912 1.065 -0.01246 0.01293  5  46.175 -82.3   3.85  0.076
## 3   5.606       -0.29000          3 -12.602  31.2 117.41  0.000
## 1   5.448                         2 -14.322  32.6 118.85  0.000
## 7   5.559       -0.28170 0.07969  4 -12.476  33.0 119.16  0.000
## 5   5.390                0.11050  3 -14.092  34.2 120.39  0.000
## Models ranked by AIC(x) 
## 
## [[41]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   AIC  delta weight
## 2   4.969 0.9919                    3  46.781 -87.6   0.00  0.349
## 4   5.006 0.9832 -0.06043           4  47.641 -87.3   0.28  0.304
## 8   5.027 0.9937 -0.07004 -0.04455  5  48.139 -86.3   1.28  0.184
## 6   4.980 1.0000          -0.03059  4  47.017 -86.0   1.53  0.163
## 5   5.398                  0.22960  3 -12.587  31.2 118.74  0.000
## 3   5.628        -0.21720           3 -12.866  31.7 119.29  0.000
## 1   5.513                           2 -13.874  31.7 119.31  0.000
## 7   5.507        -0.16860  0.19200  4 -11.989  32.0 119.54  0.000
## Models ranked by AIC(x) 
## 
## [[42]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   AIC  delta weight
## 4   5.024 0.9430 -0.08175            4 52.419 -96.8   0.00  0.499
## 2   4.971 0.9651                     3 50.615 -95.2   1.61  0.223
## 8   5.020 0.9421 -0.08577  0.013370  5 52.479 -95.0   1.88  0.195
## 6   4.975 0.9650          -0.006713  4 50.630 -93.3   3.58  0.083
## 3   5.572        -0.32560            3 -6.390  18.8 115.62  0.000
## 7   5.551        -0.34290  0.060680  4 -6.272  20.5 117.38  0.000
## 1   5.400                            2 -9.255  22.5 119.35  0.000
## 5   5.410                 -0.020930  3 -9.241  24.5 121.32  0.000
## Models ranked by AIC(x) 
## 
## [[43]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   AIC delta weight
## 6   4.892 1.046          0.09101  4  36.246 -64.5  0.00  0.365
## 2   4.931 1.068                   3  35.235 -64.5  0.02  0.362
## 8   4.884 1.046  0.01166 0.09477  5  36.268 -62.5  1.96  0.137
## 4   4.936 1.068 -0.01032          4  35.253 -62.5  1.99  0.135
## 5   5.230                0.33820  3 -10.254  26.5 91.00  0.000
## 7   5.187        0.06274 0.35750  4 -10.155  28.3 92.80  0.000
## 1   5.411                         2 -12.498  29.0 93.49  0.000
## 3   5.422       -0.02099          3 -12.487  31.0 95.47  0.000
## Models ranked by AIC(x) 
## 
## [[44]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC delta weight
## 2   5.014 0.8867                    3 39.156 -72.3  0.00  0.350
## 4   5.043 0.8970 -0.06968           4 40.153 -72.3  0.01  0.349
## 8   5.057 0.9085 -0.07332 -0.03498  5 40.362 -70.7  1.59  0.158
## 6   5.024 0.8947          -0.02574  4 39.266 -70.5  1.78  0.144
## 5   5.350                  0.20340  3 -2.880  11.8 84.07  0.000
## 1   5.456                           2 -4.233  12.5 84.78  0.000
## 7   5.328         0.04141  0.20660  4 -2.815  13.6 85.94  0.000
## 3   5.443         0.02719           3 -4.207  14.4 86.72  0.000
## Models ranked by AIC(x) 
## 
## [[45]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   AIC delta weight
## 2   4.946 0.9742                     3 38.469 -70.9  0.00  0.526
## 4   4.958 0.9714 -0.01941            4 38.514 -69.0  1.91  0.202
## 6   4.949 0.9749          -0.008615  4 38.480 -69.0  1.98  0.196
## 8   4.964 0.9720 -0.02150 -0.011680  5 38.534 -67.1  3.87  0.076
## 1   5.394                            2 -7.627  19.3 90.19  0.000
## 3   5.494        -0.17600            3 -7.012  20.0 90.96  0.000
## 5   5.369                  0.058380  3 -7.544  21.1 92.03  0.000
## 7   5.476        -0.16990  0.032620  4 -6.986  22.0 92.91  0.000
## Models ranked by AIC(x) 
## 
## [[46]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   AIC  delta weight
## 2   4.920 1.118                     3  50.606 -95.2   0.00  0.461
## 4   4.942 1.107 -0.04173            4  51.059 -94.1   1.09  0.267
## 6   4.925 1.116          -0.008217  4  50.623 -93.2   1.97  0.173
## 8   4.946 1.105 -0.04153 -0.007013  5  51.071 -92.1   3.07  0.099
## 7   5.791       -0.35940 -0.339300  4 -15.713  39.4 134.64  0.000
## 3   5.633       -0.39960            3 -17.837  41.7 136.89  0.000
## 5   5.675                -0.382800  3 -18.138  42.3 137.49  0.000
## 1   5.479                           2 -20.610  45.2 140.43  0.000
## Models ranked by AIC(x) 
## 
## [[47]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2       x3 df  logLik   AIC  delta weight
## 2   4.941 0.9803                     3  42.039 -78.1   0.00  0.491
## 6   4.959 0.9778           -0.04106  4  42.316 -76.6   1.45  0.238
## 4   4.945 0.9798 -0.006742           4  42.048 -76.1   1.98  0.182
## 8   4.962 0.9775 -0.005552 -0.04086  5  42.323 -74.6   3.43  0.088
## 1   5.382                            2 -13.430  30.9 108.94  0.000
## 5   5.430                  -0.11660  3 -13.186  32.4 110.45  0.000
## 3   5.426        -0.076780           3 -13.301  32.6 110.68  0.000
## 7   5.471        -0.073010 -0.11370  4 -13.068  34.1 112.21  0.000
## Models ranked by AIC(x) 
## 
## [[48]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   AIC  delta weight
## 2   4.951 1.029                   3  44.057 -82.1   0.00  0.363
## 4   4.979 1.030 -0.06648          4  44.792 -81.6   0.53  0.278
## 6   4.934 1.029          0.04017  4  44.360 -80.7   1.39  0.181
## 8   4.961 1.031 -0.07796 0.05456  5  45.347 -80.7   1.42  0.178
## 1   5.447                         2 -16.847  37.7 119.81  0.000
## 3   5.462       -0.03564          3 -16.829  39.7 121.77  0.000
## 5   5.438                0.02234  3 -16.839  39.7 121.79  0.000
## 7   5.453       -0.04195 0.03007  4 -16.814  41.6 123.74  0.000
## Models ranked by AIC(x) 
## 
## [[49]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   AIC  delta weight
## 2   4.959 0.9696                    3  42.027 -78.1   0.00  0.377
## 6   4.993 0.9618          -0.06871  4  42.689 -77.4   0.68  0.269
## 4   4.984 0.9723 -0.04665           4  42.420 -76.8   1.21  0.206
## 8   5.019 0.9645 -0.04661 -0.06867  5  43.091 -76.2   1.87  0.148
## 1   5.455                           2 -11.028  26.1 104.11  0.000
## 5   5.552                 -0.22070  3 -10.193  26.4 104.44  0.000
## 3   5.448         0.01310           3 -11.024  28.0 106.10  0.000
## 7   5.546         0.01170 -0.22060  4 -10.190  28.4 106.43  0.000
## Models ranked by AIC(x) 
## 
## [[50]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   AIC  delta weight
## 2   4.965 0.9925                   3 43.057 -80.1   0.00  0.337
## 4   4.989 1.0030 -0.06062          4 43.913 -79.8   0.29  0.292
## 8   4.969 0.9967 -0.06636 0.05619  5 44.475 -79.0   1.16  0.188
## 6   4.947 0.9859          0.04718  4 43.444 -78.9   1.23  0.183
## 1   5.495                          2 -8.336  20.7 100.79  0.000
## 5   5.411                 0.18190  3 -7.581  21.2 101.28  0.000
## 3   5.459         0.07319          3 -8.175  22.3 102.46  0.000
## 7   5.389         0.05266 0.17350  4 -7.497  23.0 103.11  0.000
## Models ranked by AIC(x) 
## 
## [[51]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   AIC  delta weight
## 4   5.019 0.9569 -0.08229          4 44.728 -81.5   0.00  0.392
## 2   4.980 0.9500                   3 43.304 -80.6   0.85  0.256
## 8   5.000 0.9504 -0.07701 0.03993  5 45.041 -80.1   1.37  0.197
## 6   4.959 0.9422          0.05099  4 43.798 -79.6   1.86  0.155
## 1   5.396                          2 -7.176  18.4  99.81  0.000
## 5   5.310                 0.18560  3 -6.280  18.6 100.02  0.000
## 3   5.402        -0.01159          3 -7.173  20.3 101.80  0.000
## 7   5.303         0.01088 0.18700  4 -6.277  20.6 102.01  0.000
## Models ranked by AIC(x) 
## 
## [[52]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 2   4.946 1.053                    3  39.890 -73.8   0.00  0.357
## 4   4.984 1.040 -0.06318           4  40.635 -73.3   0.51  0.277
## 6   4.919 1.059           0.04849  4  40.347 -72.7   1.09  0.208
## 8   4.957 1.046 -0.06195  0.04695  5  41.077 -72.2   1.63  0.158
## 3   5.565       -0.22470           3  -9.102  24.2  97.98  0.000
## 1   5.452                          2 -10.419  24.8  98.62  0.000
## 7   5.587       -0.22510 -0.04476  4  -9.047  26.1  99.87  0.000
## 5   5.473                -0.04314  3 -10.370  26.7 100.52  0.000
## Models ranked by AIC(x) 
## 
## [[53]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1        x2       x3 df  logLik   AIC  delta weight
## 2   4.871 1.132                     3  45.310 -84.6   0.00  0.527
## 6   4.863 1.135            0.01298  4  45.351 -82.7   1.92  0.202
## 4   4.875 1.131 -0.006769           4  45.318 -82.6   1.98  0.196
## 8   4.866 1.135 -0.003927  0.01229  5  45.354 -80.7   3.91  0.075
## 5   5.610                 -0.22970  3 -14.615  35.2 119.85  0.000
## 1   5.504                           2 -15.838  35.7 120.29  0.000
## 7   5.699       -0.163200 -0.25380  4 -14.169  36.3 120.96  0.000
## 3   5.557       -0.111300           3 -15.635  37.3 121.89  0.000
## Models ranked by AIC(x) 
## 
## [[54]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC  delta weight
## 4   5.028 0.9509 -0.07401           4 45.648 -83.3   0.00  0.356
## 2   4.992 0.9387                    3 44.551 -83.1   0.19  0.323
## 6   4.964 0.9455           0.04284  4 44.903 -81.8   1.49  0.169
## 8   5.006 0.9545 -0.06818  0.02855  5 45.804 -81.6   1.69  0.153
## 1   5.542                           2 -4.761  13.5  96.82  0.000
## 5   5.594                 -0.09247  3 -4.528  15.1  98.35  0.000
## 3   5.505         0.06348           3 -4.649  15.3  98.59  0.000
## 7   5.562         0.04522 -0.08214  4 -4.473  16.9 100.24  0.000
## Models ranked by AIC(x) 
## 
## [[55]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   AIC  delta weight
## 2   4.995 0.9259                    3  47.187 -88.4   0.00  0.358
## 4   5.020 0.9314 -0.05718           4  47.924 -87.8   0.53  0.275
## 6   5.015 0.9263          -0.03984  4  47.604 -87.2   1.16  0.200
## 8   5.043 0.9321 -0.05977 -0.04292  5  48.422 -86.8   1.53  0.167
## 1   5.430                           2 -11.266  26.5 114.90  0.000
## 3   5.405         0.05176           3 -11.207  28.4 116.79  0.000
## 5   5.445                 -0.02936  3 -11.244  28.5 116.86  0.000
## 7   5.419         0.05020 -0.02683  4 -11.189  30.4 118.75  0.000
## Models ranked by AIC(x) 
## 
## [[56]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC  delta weight
## 4   5.015 0.9369 -0.06089           4 50.113 -92.2   0.00  0.355
## 2   4.990 0.9312                    3 49.088 -92.2   0.05  0.346
## 8   5.001 0.9398 -0.06121  0.02345  5 50.265 -90.5   1.70  0.152
## 6   4.977 0.9340           0.02260  4 49.223 -90.4   1.78  0.146
## 1   5.404                           2 -7.715  19.4 111.66  0.000
## 5   5.449                 -0.08319  3 -7.523  21.0 113.27  0.000
## 3   5.396         0.01945           3 -7.705  21.4 113.63  0.000
## 7   5.440         0.01971 -0.08326  4 -7.512  23.0 115.25  0.000
## Models ranked by AIC(x) 
## 
## [[57]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df logLik   AIC  delta weight
## 2   4.959 1.002                     3 44.106 -82.2   0.00  0.486
## 4   4.977 1.009 -0.04052            4 44.421 -80.8   1.37  0.245
## 6   4.958 1.002           0.001402  4 44.107 -80.2   2.00  0.179
## 8   4.974 1.009 -0.04095  0.004566  5 44.426 -78.9   3.36  0.090
## 1   5.468                           2 -7.060  18.1 100.33  0.000
## 3   5.408        0.11250            3 -6.738  19.5 101.69  0.000
## 5   5.477                -0.017680  3 -7.051  20.1 102.31  0.000
## 7   5.420        0.11480 -0.026160  4 -6.718  21.4 103.65  0.000
## Models ranked by AIC(x) 
## 
## [[58]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   AIC  delta weight
## 4   5.018 0.9862 -0.08939          4 50.385 -92.8   0.00  0.440
## 2   4.976 0.9752                   3 48.916 -91.8   0.94  0.275
## 8   5.010 0.9861 -0.08752 0.01328  5 50.431 -90.9   1.91  0.170
## 6   4.965 0.9755          0.02206  4 49.038 -90.1   2.69  0.114
## 1   5.437                          2 -9.570  23.1 115.91  0.000
## 3   5.397         0.07477          3 -9.471  24.9 117.71  0.000
## 5   5.431                 0.01107  3 -9.567  25.1 117.90  0.000
## 7   5.386         0.07742 0.01895  4 -9.463  26.9 119.69  0.000
## Models ranked by AIC(x) 
## 
## [[59]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   AIC  delta weight
## 2   4.940 1.032                   3  44.776 -83.6   0.00  0.449
## 6   4.922 1.027          0.04325  4  45.195 -82.4   1.16  0.251
## 4   4.950 1.035 -0.02225          4  44.889 -81.8   1.77  0.185
## 8   4.934 1.030 -0.03106 0.04899  5  45.413 -80.8   2.72  0.115
## 1   5.434                         2 -15.742  35.5 119.03  0.000
## 5   5.355                0.17310  3 -15.133  36.3 119.82  0.000
## 3   5.369        0.12640          3 -15.408  36.8 120.37  0.000
## 7   5.314        0.09668 0.15380  4 -14.941  37.9 121.43  0.000
## Models ranked by AIC(x) 
## 
## [[60]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2     x3 df  logLik   AIC delta weight
## 6   4.868 1.025          0.1230  4  35.187 -62.4  0.00  0.498
## 8   4.887 1.034 -0.03988 0.1220  5  35.429 -60.9  1.51  0.234
## 2   4.924 1.041                  3  33.179 -60.4  2.01  0.182
## 4   4.944 1.049 -0.04266         4  33.436 -58.9  3.50  0.086
## 5   5.237                0.2499  3 -12.829  31.7 94.03  0.000
## 1   5.364                        2 -14.080  32.2 94.53  0.000
## 7   5.151        0.15150 0.2497  4 -12.292  32.6 94.96  0.000
## 3   5.278        0.15170         3 -13.568  33.1 95.51  0.000
## Models ranked by AIC(x) 
## 
## [[61]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 2   4.946 1.040                    3  45.413 -84.8   0.00  0.360
## 4   4.978 1.046 -0.06716           4  46.379 -84.8   0.07  0.348
## 6   4.959 1.038          -0.02275  4  45.527 -83.1   1.77  0.148
## 8   4.991 1.043 -0.06699 -0.02227  5  46.493 -83.0   1.84  0.143
## 1   5.449                          2 -12.449  28.9 113.72  0.000
## 5   5.521                -0.12940  3 -12.079  30.2 114.99  0.000
## 3   5.438        0.02103           3 -12.440  30.9 115.71  0.000
## 7   5.510        0.02080 -0.12940  4 -12.070  32.1 116.97  0.000
## Models ranked by AIC(x) 
## 
## [[62]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   AIC  delta weight
## 2   4.954 0.9675                    3  49.039 -92.1   0.00  0.465
## 4   4.968 0.9676 -0.03068           4  49.277 -90.6   1.52  0.217
## 6   4.968 0.9669          -0.02869  4  49.233 -90.5   1.61  0.208
## 8   4.991 0.9669 -0.03839 -0.03722  5  49.592 -89.2   2.89  0.109
## 1   5.396                           2 -11.166  26.3 118.41  0.000
## 5   5.421                 -0.05041  3 -11.112  28.2 120.30  0.000
## 3   5.409        -0.02744           3 -11.149  28.3 120.38  0.000
## 7   5.444        -0.03971 -0.05924  4 -11.078  30.2 122.24  0.000
## Models ranked by AIC(x) 
## 
## [[63]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1      x2      x3 df  logLik   AIC  delta weight
## 4   5.026 0.9509 -0.1091          4  43.583 -79.2   0.00  0.410
## 8   5.004 0.9447 -0.1122 0.05275  5  44.144 -78.3   0.88  0.264
## 2   4.960 0.9611                  3  41.901 -77.8   1.36  0.207
## 6   4.939 0.9558         0.04804  4  42.337 -76.7   2.49  0.118
## 1   5.405                         2 -11.610  27.2 106.39  0.000
## 3   5.539        -0.2406          3 -10.650  27.3 106.47  0.000
## 7   5.459        -0.2476 0.16990  4  -9.973  27.9 107.11  0.000
## 5   5.324                0.16240  3 -11.015  28.0 107.20  0.000
## Models ranked by AIC(x) 
## 
## [[64]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 2   4.900 1.080                    3  49.351 -92.7   0.00  0.479
## 4   4.923 1.069 -0.03395           4  49.668 -91.3   1.37  0.242
## 6   4.893 1.081           0.01395  4  49.402 -90.8   1.90  0.186
## 8   4.916 1.070 -0.03340  0.01240  5  49.709 -89.4   3.29  0.093
## 3   5.669       -0.38430           3 -14.701  35.4 128.10  0.000
## 7   5.706       -0.38570 -0.07123  4 -14.598  37.2 129.90  0.000
## 1   5.475                          2 -17.982  40.0 132.67  0.000
## 5   5.506                -0.06272  3 -17.912  41.8 134.53  0.000
## Models ranked by AIC(x) 
## 
## [[65]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC  delta weight
## 8   4.972 0.9816 -0.07195  0.06046  5 50.428 -90.9   0.00  0.350
## 4   5.016 0.9740 -0.08765           4 49.375 -90.8   0.10  0.332
## 6   4.918 0.9963           0.07900  4 48.961 -89.9   0.93  0.219
## 2   4.963 0.9902                    3 47.172 -88.3   2.51  0.100
## 3   5.553        -0.22890           3 -8.091  22.2 113.04  0.000
## 1   5.434                           2 -9.661  23.3 114.18  0.000
## 7   5.581        -0.23900 -0.04185  4 -8.041  24.1 114.94  0.000
## 5   5.425                  0.01667  3 -9.653  25.3 116.16  0.000
## Models ranked by AIC(x) 
## 
## [[66]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 2   4.934 1.025                    3  46.864 -87.7   0.00  0.349
## 6   4.968 1.025          -0.06916  4  47.856 -87.7   0.02  0.347
## 8   4.988 1.023 -0.03373 -0.07259  5  48.074 -86.1   1.58  0.159
## 4   4.948 1.023 -0.02564           4  46.986 -86.0   1.76  0.145
## 1   5.507                          2 -19.558  43.1 130.84  0.000
## 3   5.586       -0.15590           3 -19.236  44.5 132.20  0.000
## 5   5.542                -0.07232  3 -19.483  45.0 132.69  0.000
## 7   5.635       -0.16580 -0.08912  4 -19.123  46.2 133.97  0.000
## Models ranked by AIC(x) 
## 
## [[67]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC delta weight
## 4   5.048 0.9151 -0.09138           4 42.304 -76.6  0.00  0.428
## 2   5.001 0.9226                    3 40.866 -75.7  0.88  0.276
## 8   5.055 0.9187 -0.08828 -0.02065  5 42.393 -74.8  1.82  0.172
## 6   5.014 0.9276          -0.03168  4 41.069 -74.1  2.47  0.124
## 1   5.493                           2 -6.849  17.7 94.31  0.000
## 3   5.571        -0.16620           3 -6.150  18.3 94.91  0.000
## 5   5.449                  0.09031  3 -6.600  19.2 95.81  0.000
## 7   5.525        -0.18120  0.11050  4 -5.770  19.5 96.15  0.000
## Models ranked by AIC(x) 
## 
## [[68]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   AIC  delta weight
## 2   4.998 0.9228                    3  42.957 -79.9   0.00  0.450
## 4   5.015 0.9388 -0.05210           4  43.479 -79.0   0.96  0.279
## 6   4.994 0.9223          0.008210  4  42.973 -77.9   1.97  0.168
## 8   5.011 0.9384 -0.05186 0.006638  5  43.489 -77.0   2.94  0.104
## 3   5.434         0.24530           3  -8.617  23.2 103.15  0.000
## 1   5.557                           2 -10.178  24.4 104.27  0.000
## 7   5.403         0.24630 0.060580  4  -8.508  25.0 104.93  0.000
## 5   5.528                 0.057160  3 -10.087  26.2 106.09  0.000
## Models ranked by AIC(x) 
## 
## [[69]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   AIC  delta weight
## 2   4.947 1.080                   3  49.133 -92.3   0.00  0.477
## 4   4.963 1.076 -0.02927          4  49.383 -90.8   1.50  0.226
## 6   4.936 1.078          0.02378  4  49.267 -90.5   1.73  0.201
## 8   4.952 1.073 -0.02994 0.02477  5  49.530 -89.1   3.21  0.096
## 1   5.554                         2 -17.138  38.3 130.54  0.000
## 3   5.635       -0.17270          3 -16.506  39.0 131.28  0.000
## 5   5.476                0.14930  3 -16.758  39.5 131.78  0.000
## 7   5.556       -0.17470 0.15210  4 -16.102  40.2 132.47  0.000
## Models ranked by AIC(x) 
## 
## [[70]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   AIC  delta weight
## 8   5.017 0.9974 -0.06982 -0.06268  5  53.987 -98.0   0.00  0.337
## 4   4.978 1.0050 -0.06909           4  52.832 -97.7   0.31  0.289
## 6   4.987 1.0010          -0.06179  4  52.425 -96.8   1.12  0.192
## 2   4.948 1.0090                    3  51.368 -96.7   1.24  0.182
## 1   5.454                           2 -14.662  33.3 131.30  0.000
## 5   5.571                 -0.20660  3 -13.808  33.6 131.59  0.000
## 3   5.505        -0.12870           3 -14.306  34.6 132.59  0.000
## 7   5.623        -0.12960 -0.20720  4 -13.435  34.9 132.84  0.000
## Models ranked by AIC(x) 
## 
## [[71]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 6   4.983 1.037          -0.07068  4  45.461 -82.9   0.00  0.343
## 2   4.945 1.038                    3  44.323 -82.6   0.28  0.299
## 4   4.975 1.028 -0.04882           4  44.844 -81.7   1.23  0.185
## 8   5.003 1.030 -0.03752 -0.06427  5  45.772 -81.5   1.38  0.172
## 3   5.587       -0.28130           3 -15.643  37.3 120.21  0.000
## 1   5.444                          2 -17.223  38.4 121.37  0.000
## 7   5.598       -0.27700 -0.02539  4 -15.630  39.3 122.18  0.000
## 5   5.483                -0.07281  3 -17.122  40.2 123.17  0.000
## Models ranked by AIC(x) 
## 
## [[72]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik   AIC  delta weight
## 4   5.021 0.9527 -0.09373          4  48.879 -89.8   0.00  0.517
## 8   5.009 0.9485 -0.09459 0.02989  5  49.046 -88.1   1.67  0.225
## 2   4.974 0.9725                   3  46.837 -87.7   2.08  0.182
## 6   4.963 0.9690          0.02632  4  46.956 -85.9   3.84  0.076
## 3   5.601        -0.31480          3 -10.270  26.5 116.30  0.000
## 7   5.496        -0.31400 0.21620  4  -9.415  26.8 116.59  0.000
## 1   5.476                          2 -12.533  29.1 118.82  0.000
## 5   5.370                 0.21780  3 -11.742  29.5 119.24  0.000
## Models ranked by AIC(x) 
## 
## [[73]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   AIC  delta weight
## 6   4.912 1.0020          0.08407  4 48.833 -89.7   0.00  0.449
## 2   4.959 0.9995                   3 47.203 -88.4   1.26  0.239
## 8   4.923 1.0020 -0.03540 0.09356  5 49.121 -88.2   1.42  0.221
## 4   4.964 0.9992 -0.01109          4 47.231 -86.5   3.20  0.091
## 1   5.438                          2 -6.478  17.0 106.62  0.000
## 5   5.408                 0.05481  3 -6.400  18.8 108.47  0.000
## 3   5.452        -0.03269          3 -6.450  18.9 108.56  0.000
## 7   5.423        -0.05050 0.06838  4 -6.336  20.7 110.34  0.000
## Models ranked by AIC(x) 
## 
## [[74]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC  delta weight
## 4   5.024 0.8975 -0.07234           4 47.963 -87.9   0.00  0.380
## 2   4.981 0.9013                    3 46.757 -87.5   0.41  0.310
## 6   4.995 0.9090          -0.04133  4 47.076 -86.2   1.77  0.157
## 8   5.028 0.9021 -0.06715 -0.02280  5 48.058 -86.1   1.81  0.154
## 1   5.451                           2 -9.550  23.1 111.03  0.000
## 5   5.371                  0.18750  3 -8.820  23.6 111.57  0.000
## 7   5.451        -0.17570  0.23150  4 -8.096  24.2 112.12  0.000
## 3   5.521        -0.12580           3 -9.172  24.3 112.27  0.000
## Models ranked by AIC(x) 
## 
## [[75]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC  delta weight
## 2   4.954 0.9875                    3 50.653 -95.3   0.00  0.499
## 4   4.937 0.9962  0.02651           4 50.861 -93.7   1.58  0.226
## 6   4.958 0.9908          -0.01014  4 50.677 -93.4   1.95  0.188
## 8   4.942 1.0020  0.02851 -0.01495  5 50.912 -91.8   3.48  0.087
## 7   5.347        -0.19600  0.26200  4 -0.478   9.0 104.26  0.000
## 5   5.257                  0.24850  3 -1.996  10.0 105.30  0.000
## 3   5.490        -0.18160           3 -2.629  11.3 106.56  0.000
## 1   5.399                           2 -3.836  11.7 106.98  0.000
## Models ranked by AIC(x) 
## 
## [[76]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   AIC  delta weight
## 4   4.984 1.042 -0.08301            4  38.111 -68.2   0.00  0.363
## 2   4.947 1.037                     3  37.109 -68.2   0.00  0.362
## 8   4.998 1.039 -0.08792 -0.020320  5  38.177 -66.4   1.87  0.142
## 6   4.948 1.037          -0.001507  4  37.110 -66.2   2.00  0.133
## 1   5.467                           2 -18.186  40.4 108.59  0.000
## 5   5.568                -0.214400  3 -17.331  40.7 108.88  0.000
## 3   5.469       -0.00578            3 -18.185  42.4 110.59  0.000
## 7   5.605       -0.06376 -0.228200  4 -17.268  42.5 110.76  0.000
## Models ranked by AIC(x) 
## 
## [[77]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   AIC  delta weight
## 2   5.045 0.9173                     3 47.795 -89.6   0.00  0.297
## 4   5.064 0.9391 -0.07109            4 48.779 -89.6   0.03  0.292
## 6   5.017 0.9215           0.054070  4 48.464 -88.9   0.66  0.213
## 8   5.036 0.9422 -0.06806  0.050620  5 49.386 -88.8   0.82  0.197
## 3   5.433         0.25140            3 -5.681  17.4 106.95  0.000
## 1   5.540                            2 -7.221  18.4 108.03  0.000
## 7   5.435         0.25120 -0.002549  4 -5.681  19.4 108.95  0.000
## 5   5.551                 -0.021530  3 -7.209  20.4 110.01  0.000
## Models ranked by AIC(x) 
## 
## [[78]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 4   4.935 1.097 -0.09783           4  42.896 -77.8   0.00  0.482
## 2   4.883 1.098                    3  41.179 -76.4   1.43  0.235
## 8   4.927 1.100 -0.09580  0.01287  5  42.929 -75.9   1.93  0.183
## 6   4.868 1.103           0.02678  4  41.315 -74.6   3.16  0.099
## 1   5.427                          2 -16.710  37.4 115.21  0.000
## 5   5.499                -0.15490  3 -16.246  38.5 116.28  0.000
## 3   5.484       -0.10740           3 -16.512  39.0 116.82  0.000
## 7   5.580       -0.13470 -0.17380  4 -15.934  39.9 117.66  0.000
## Models ranked by AIC(x) 
## 
## [[79]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1        x2      x3 df logLik   AIC  delta weight
## 2   4.956 1.025                    3 46.098 -86.2   0.00  0.433
## 6   4.931 1.022           0.05302  4 46.724 -85.4   0.75  0.298
## 4   4.958 1.025 -0.003241          4 46.100 -84.2   2.00  0.160
## 8   4.933 1.022 -0.004163 0.05309  5 46.728 -83.5   2.74  0.110
## 1   5.475                          2 -9.007  22.0 108.21  0.000
## 5   5.425                 0.10100  3 -8.757  23.5 109.71  0.000
## 3   5.488       -0.028000          3 -8.989  24.0 110.17  0.000
## 7   5.438       -0.029620 0.10140  4 -8.737  25.5 111.67  0.000
## Models ranked by AIC(x) 
## 
## [[80]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik   AIC  delta weight
## 4   5.000 0.9988 -0.09770          4  46.633 -85.3   0.00  0.472
## 8   4.979 0.9949 -0.09194 0.03432  5  46.836 -83.7   1.59  0.213
## 2   4.943 1.0040                   3  44.772 -83.5   1.72  0.200
## 6   4.917 0.9976          0.05198  4  45.220 -82.4   2.83  0.115
## 1   5.422                          2 -10.864  25.7 110.99  0.000
## 5   5.307                 0.20110  3 -10.121  26.2 111.51  0.000
## 3   5.508        -0.15560          3 -10.366  26.7 112.00  0.000
## 7   5.390        -0.12480 0.17660  4  -9.804  27.6 112.87  0.000
## Models ranked by AIC(x) 
## 
## [[81]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC  delta weight
## 2   4.956 0.9552                    3 46.934 -87.9   0.00  0.422
## 6   4.978 0.9524          -0.04692  4 47.524 -87.0   0.82  0.280
## 4   4.973 0.9489 -0.02604           4 47.066 -86.1   1.74  0.177
## 8   4.997 0.9456 -0.02772 -0.04763  5 47.677 -85.4   2.52  0.120
## 3   5.596        -0.25330           3 -4.685  15.4 103.24  0.000
## 1   5.461                           2 -6.302  16.6 104.47  0.000
## 7   5.639        -0.25510 -0.09428  4 -4.384  16.8 104.64  0.000
## 5   5.502                 -0.09053  3 -6.042  18.1 105.95  0.000
## Models ranked by AIC(x) 
## 
## [[82]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC  delta weight
## 2   4.951 0.9705                    3 47.713 -89.4   0.00  0.429
## 4   4.977 0.9727 -0.05457           4 48.359 -88.7   0.71  0.301
## 6   4.950 0.9701          0.002117  4 47.714 -87.4   2.00  0.158
## 8   4.976 0.9721 -0.05463 0.003078  5 48.362 -86.7   2.70  0.111
## 1   5.420                           2 -8.120  20.2 109.67  0.000
## 5   5.345                 0.153600  3 -7.435  20.9 110.30  0.000
## 3   5.428        -0.01541           3 -8.115  22.2 111.66  0.000
## 7   5.355        -0.01986 0.154100  4 -7.426  22.9 112.28  0.000
## Models ranked by AIC(x) 
## 
## [[83]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   AIC  delta weight
## 2   4.927 1.055                   3  45.749 -85.5   0.00  0.395
## 4   4.958 1.065 -0.06610          4  46.413 -84.8   0.67  0.283
## 6   4.909 1.054          0.03484  4  46.000 -84.0   1.50  0.187
## 8   4.940 1.064 -0.06635 0.03518  5  46.676 -83.4   2.15  0.135
## 1   5.412                         2 -15.552  35.1 120.60  0.000
## 3   5.316        0.17880          3 -15.121  36.2 121.74  0.000
## 5   5.369                0.07719  3 -15.446  36.9 122.39  0.000
## 7   5.276        0.17770 0.07520  4 -15.019  38.0 123.53  0.000
## Models ranked by AIC(x) 
## 
## [[84]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   AIC  delta weight
## 2   4.925 1.013                   3  44.551 -83.1   0.00  0.380
## 4   4.959 1.022 -0.06826          4  45.418 -82.8   0.27  0.332
## 6   4.916 1.007          0.02414  4  44.658 -81.3   1.79  0.155
## 8   4.950 1.017 -0.06718 0.02065  5  45.499 -81.0   2.10  0.133
## 5   5.236                0.29290  3  -9.728  25.5 108.56  0.000
## 7   5.188        0.08561 0.29410  4  -9.571  27.1 110.24  0.000
## 1   5.382                         2 -11.582  27.2 110.27  0.000
## 3   5.337        0.08162          3 -11.450  28.9 112.00  0.000
## Models ranked by AIC(x) 
## 
## [[85]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1      x2        x3 df logLik   AIC delta weight
## 4   5.056 0.9252 -0.0888            4 42.736 -77.5  0.00  0.408
## 2   5.018 0.9032                    3 41.315 -76.6  0.84  0.268
## 8   5.065 0.9247 -0.0810 -0.027810  5 42.863 -75.7  1.75  0.170
## 6   5.040 0.9058         -0.051430  4 41.765 -75.5  1.94  0.154
## 1   5.430                           2 -5.284  14.6 92.04  0.000
## 3   5.366         0.1183            3 -4.878  15.8 93.23  0.000
## 5   5.433                -0.005106  3 -5.283  16.6 94.04  0.000
## 7   5.379         0.1307 -0.044750  4 -4.830  17.7 95.13  0.000
## Models ranked by AIC(x) 
## 
## [[86]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2      x3 df logLik   AIC delta weight
## 6   4.991 0.8590           0.08335  4 38.710 -69.4  0.00  0.375
## 2   5.031 0.8566                    3 37.649 -69.3  0.12  0.353
## 8   4.994 0.8630 -0.011920 0.08390  5 38.733 -67.5  1.95  0.141
## 4   5.033 0.8594 -0.008172          4 37.660 -67.3  2.10  0.131
## 3   5.337         0.243100          3 -2.372  10.7 80.16  0.000
## 7   5.314         0.241500 0.05010  4 -2.297  12.6 82.01  0.000
## 1   5.449                           2 -4.352  12.7 82.12  0.000
## 5   5.421                  0.05898  3 -4.254  14.5 83.93  0.000
## Models ranked by AIC(x) 
## 
## [[87]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 4   4.986 1.035 -0.08887           4  46.771 -85.5   0.00  0.458
## 2   4.933 1.046                    3  45.126 -84.3   1.29  0.240
## 8   4.997 1.034 -0.08742 -0.02492  5  46.917 -83.8   1.71  0.195
## 6   4.948 1.044          -0.02956  4  45.320 -82.6   2.90  0.107
## 1   5.508                          2 -15.053  34.1 119.65  0.000
## 3   5.628       -0.22680           3 -14.087  34.2 119.72  0.000
## 5   5.560                -0.11080  3 -14.807  35.6 121.15  0.000
## 7   5.670       -0.22020 -0.09720  4 -13.891  35.8 121.32  0.000
## Models ranked by AIC(x) 
## 
## [[88]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   AIC  delta weight
## 4   5.001 1.043 -0.09638            4  42.238 -76.5   0.00  0.454
## 2   4.951 1.039                     3  40.741 -75.5   0.99  0.276
## 8   5.005 1.043 -0.09689 -0.007318  5  42.250 -74.5   1.98  0.169
## 6   4.951 1.039          -0.002066  4  40.742 -73.5   2.99  0.102
## 1   5.508                           2 -16.325  36.7 113.13  0.000
## 3   5.537       -0.05256            3 -16.281  38.6 115.04  0.000
## 5   5.502                 0.014220  3 -16.321  38.6 115.12  0.000
## 7   5.531       -0.05176  0.011440  4 -16.279  40.6 117.03  0.000
## Models ranked by AIC(x) 
## 
## [[89]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df logLik   AIC  delta weight
## 4   4.979 1.000 -0.07601            4 51.331 -94.7   0.00  0.454
## 2   4.935 1.004                     3 49.812 -93.6   1.04  0.270
## 8   4.982 1.001 -0.07515 -0.005722  5 51.340 -92.7   1.98  0.169
## 6   4.944 1.006          -0.016350  4 49.885 -91.8   2.89  0.107
## 1   5.516                           2 -9.989  24.0 118.64  0.000
## 3   5.587       -0.12960            3 -9.593  25.2 119.85  0.000
## 5   5.488                 0.050550  3 -9.926  25.9 120.51  0.000
## 7   5.554       -0.13970  0.069700  4 -9.473  26.9 121.61  0.000
## Models ranked by AIC(x) 
## 
## [[90]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   AIC  delta weight
## 4   5.008 0.9813 -0.07830           4  42.056 -76.1   0.00  0.374
## 2   4.968 0.9724                    3  40.711 -75.4   0.69  0.265
## 8   4.978 0.9925 -0.08310  0.05196  5  42.559 -75.1   0.99  0.227
## 6   4.941 0.9812           0.04266  4  41.034 -74.1   2.04  0.134
## 1   5.449                           2 -10.056  24.1 100.22  0.000
## 5   5.527                 -0.14930  3  -9.511  25.0 101.14  0.000
## 3   5.442         0.01186           3 -10.052  26.1 102.22  0.000
## 7   5.515         0.02284 -0.15130  4  -9.496  27.0 103.11  0.000
## Models ranked by AIC(x) 
## 
## [[91]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 4   4.948 1.085 -0.09278           4  43.522 -79.0   0.00  0.493
## 2   4.912 1.068                    3  41.736 -77.5   1.57  0.225
## 8   4.953 1.086 -0.09096 -0.01564  5  43.559 -77.1   1.93  0.188
## 6   4.925 1.070          -0.03035  4  41.869 -75.7   3.31  0.094
## 1   5.454                          2 -15.042  34.1 113.13  0.000
## 3   5.410        0.09192           3 -14.861  35.7 114.77  0.000
## 5   5.409                 0.09762  3 -14.898  35.8 114.84  0.000
## 7   5.378        0.08130  0.08283  4 -14.759  37.5 116.56  0.000
## Models ranked by AIC(x) 
## 
## [[92]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 4   4.962 1.071 -0.09261           4  49.136 -90.3   0.00  0.417
## 2   4.920 1.060                    3  47.599 -89.2   1.07  0.244
## 8   4.976 1.075 -0.09373 -0.03505  5  49.487 -89.0   1.30  0.218
## 6   4.932 1.064          -0.03310  4  47.893 -87.8   2.49  0.120
## 1   5.479                          2 -15.029  34.1 124.33  0.000
## 5   5.440                 0.08707  3 -14.861  35.7 125.99  0.000
## 3   5.437        0.08125           3 -14.933  35.9 126.14  0.000
## 7   5.397        0.08228  0.08770  4 -14.762  37.5 127.80  0.000
## Models ranked by AIC(x) 
## 
## [[93]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   AIC  delta weight
## 2   4.990 0.9752                    3  39.309 -72.6   0.00  0.400
## 4   5.035 0.9639 -0.07508           4  40.079 -72.2   0.46  0.318
## 6   4.997 0.9778          -0.01723  4  39.361 -70.7   1.90  0.155
## 8   5.046 0.9669 -0.07677 -0.02180  5  40.165 -70.3   2.29  0.127
## 3   5.665        -0.26620           3 -11.306  28.6 101.23  0.000
## 1   5.525                           2 -12.572  29.1 101.76  0.000
## 7   5.601        -0.25470  0.10980  4 -11.020  30.0 102.66  0.000
## 5   5.457                  0.13040  3 -12.185  30.4 102.99  0.000
## Models ranked by AIC(x) 
## 
## [[94]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   AIC  delta weight
## 4   5.023 0.9736 -0.09122           4  37.581 -67.2   0.00  0.370
## 2   4.986 0.9597                    3  36.417 -66.8   0.33  0.314
## 6   4.964 0.9613          0.044080  4  36.740 -65.5   1.68  0.160
## 8   5.006 0.9737 -0.08496 0.028710  5  37.718 -65.4   1.73  0.156
## 1   5.469                           2 -12.698  29.4  96.56  0.000
## 3   5.428         0.08478           3 -12.556  31.1  98.27  0.000
## 5   5.465                 0.008931  3 -12.696  31.4  98.55  0.000
## 7   5.413         0.09042 0.025780  4 -12.541  33.1 100.24  0.000
## Models ranked by AIC(x) 
## 
## [[95]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   AIC  delta weight
## 2   4.902 1.066                   3  44.590 -83.2   0.00  0.498
## 4   4.917 1.060 -0.02358          4  44.724 -81.4   1.73  0.209
## 6   4.890 1.065          0.02525  4  44.717 -81.4   1.75  0.208
## 8   4.905 1.060 -0.02139 0.02276  5  44.826 -79.7   3.53  0.085
## 3   5.579       -0.22530          3 -12.026  30.1 113.23  0.000
## 1   5.461                         2 -13.314  30.6 113.81  0.000
## 7   5.567       -0.22310 0.02285  4 -12.015  32.0 115.21  0.000
## 5   5.437                0.05001  3 -13.265  32.5 115.71  0.000
## Models ranked by AIC(x) 
## 
## [[96]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik   AIC  delta weight
## 4   5.028 0.9527 -0.10240          4  42.930 -77.9   0.00  0.487
## 2   4.960 0.9744                   3  41.167 -76.3   1.53  0.227
## 8   5.021 0.9511 -0.09964 0.01292  5  42.960 -75.9   1.94  0.185
## 6   4.947 0.9689          0.03233  4  41.351 -74.7   3.16  0.101
## 3   5.611        -0.31790          3  -8.254  22.5 100.37  0.000
## 7   5.527        -0.28600 0.13340  4  -7.828  23.7 101.52  0.000
## 1   5.432                          2 -10.536  25.1 102.93  0.000
## 5   5.334                 0.19790  3  -9.623  25.2 103.10  0.000
## Models ranked by AIC(x) 
## 
## [[97]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   AIC  delta weight
## 4   5.027 0.9251 -0.07003          4 51.979 -96.0   0.00  0.384
## 2   4.993 0.9229                   3 50.692 -95.4   0.58  0.288
## 6   4.973 0.9233          0.04000  4 51.148 -94.3   1.66  0.167
## 8   5.012 0.9251 -0.06315 0.02248  5 52.117 -94.2   1.72  0.162
## 1   5.437                          2 -8.451  20.9 116.86  0.000
## 3   5.456        -0.03802          3 -8.417  22.8 118.79  0.000
## 5   5.422                 0.03004  3 -8.427  22.9 118.81  0.000
## 7   5.442        -0.03150 0.02130  4 -8.406  24.8 120.77  0.000
## Models ranked by AIC(x) 
## 
## [[98]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df logLik   AIC  delta weight
## 2   4.950 1.009                    3 44.154 -82.3   0.00  0.377
## 4   4.977 1.017 -0.06749           4 45.090 -82.2   0.13  0.353
## 6   4.948 1.008          0.004402  4 44.158 -80.3   1.99  0.139
## 8   4.975 1.016 -0.06750 0.004538  5 45.094 -80.2   2.12  0.131
## 1   5.416                          2 -7.040  18.1 100.39  0.000
## 5   5.355                0.116000  3 -6.703  19.4 101.71  0.000
## 3   5.403        0.02976           3 -7.017  20.0 102.34  0.000
## 7   5.342        0.02812 0.115600  4 -6.681  21.4 103.67  0.000
## Models ranked by AIC(x) 
## 
## [[99]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC delta weight
## 2   4.966 0.9751                    3 37.825 -69.6  0.00  0.352
## 4   5.006 0.9687 -0.07707           4 38.780 -69.6  0.09  0.337
## 6   4.940 0.9853           0.04388  4 38.091 -68.2  1.47  0.169
## 8   4.986 0.9764 -0.07237  0.03147  5 38.919 -67.8  1.81  0.142
## 1   5.420                           2 -9.987  24.0 93.62  0.000
## 5   5.512                 -0.19440  3 -9.161  24.3 93.97  0.000
## 7   5.614        -0.18280 -0.22030  4 -8.352  24.7 94.35  0.000
## 3   5.496        -0.15420           3 -9.423  24.8 94.50  0.000
## Models ranked by AIC(x) 
## 
## [[100]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   AIC  delta weight
## 6   4.909 1.056          0.07830  4  38.516 -69.0   0.00  0.348
## 2   4.953 1.056                   3  37.494 -69.0   0.04  0.340
## 8   4.934 1.049 -0.03760 0.07810  5  38.725 -67.4   1.58  0.158
## 4   4.978 1.049 -0.03808          4  37.699 -67.4   1.63  0.154
## 3   5.705       -0.28970          3 -16.482  39.0 108.00  0.000
## 1   5.541                         2 -17.877  39.8 108.79  0.000
## 7   5.658       -0.28910 0.08282  4 -16.353  40.7 109.74  0.000
## 5   5.493                0.08469  3 -17.749  41.5 110.53  0.000
## Models ranked by AIC(x) 
## 
## [[101]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   AIC  delta weight
## 4   5.037 0.9321 -0.08360            4 51.122 -94.2   0.00  0.474
## 2   5.000 0.9362                     3 49.501 -93.0   1.24  0.254
## 8   5.033 0.9327 -0.08521  0.009846  5 51.140 -92.3   1.96  0.177
## 6   5.003 0.9358          -0.007589  4 49.511 -91.0   3.22  0.095
## 1   5.505                            2 -7.603  19.2 113.45  0.000
## 3   5.562        -0.13450            3 -7.184  20.4 114.61  0.000
## 5   5.546                 -0.087400  3 -7.462  20.9 115.17  0.000
## 7   5.586        -0.12420 -0.061600  4 -7.116  22.2 116.48  0.000
## Models ranked by AIC(x) 
## 
## [[102]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   AIC  delta weight
## 2   5.013 0.9307                    3  45.291 -84.6   0.00  0.460
## 4   5.032 0.9309 -0.04581           4  45.696 -83.4   1.19  0.253
## 6   5.025 0.9276          -0.01884  4  45.373 -82.7   1.84  0.184
## 8   5.045 0.9275 -0.04696 -0.02098  5  45.799 -81.6   2.99  0.103
## 1   5.477                           2 -10.484  25.0 109.55  0.000
## 5   5.569                 -0.17290  3  -9.711  25.4 110.00  0.000
## 3   5.494        -0.03932           3 -10.452  26.9 111.49  0.000
## 7   5.591        -0.04917 -0.17510  4  -9.659  27.3 111.90  0.000
## Models ranked by AIC(x) 
## 
## [[103]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik   AIC  delta weight
## 4   5.001 0.9854 -0.09509          4  47.386 -86.8   0.00  0.499
## 8   4.990 0.9800 -0.09312 0.02973  5  47.604 -85.2   1.57  0.228
## 2   4.968 0.9676                   3  45.384 -84.8   2.01  0.183
## 6   4.955 0.9616          0.03549  4  45.671 -83.3   3.43  0.090
## 1   5.422                          2 -10.459  24.9 111.69  0.000
## 5   5.339                 0.18900  3  -9.551  25.1 111.88  0.000
## 3   5.382         0.09094          3 -10.263  26.5 113.30  0.000
## 7   5.295         0.09711 0.19190  4  -9.319  26.6 113.41  0.000
## Models ranked by AIC(x) 
## 
## [[104]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 6   4.916 1.023           0.10370  4  38.704 -69.4   0.00  0.411
## 2   4.977 1.011                    3  37.150 -68.3   1.11  0.236
## 8   4.936 1.032 -0.05134  0.10320  5  39.100 -68.2   1.21  0.225
## 4   4.997 1.020 -0.05244           4  37.538 -67.1   2.33  0.128
## 1   5.502                          2 -13.932  31.9 101.27  0.000
## 3   5.428        0.15380           3 -13.483  33.0 102.37  0.000
## 5   5.518                -0.03086  3 -13.915  33.8 103.24  0.000
## 7   5.442        0.15300 -0.02564  4 -13.471  34.9 104.35  0.000
## Models ranked by AIC(x) 
## 
## [[105]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 4   4.996 1.013 -0.08508           4  38.146 -68.3   0.00  0.416
## 2   4.946 1.025                    3  36.753 -67.5   0.79  0.281
## 8   5.019 1.013 -0.08902 -0.03719  5  38.359 -66.7   1.57  0.189
## 6   4.960 1.025          -0.02519  4  36.846 -65.7   2.60  0.113
## 3   5.465       -0.20990           3 -14.233  34.5 102.76  0.000
## 1   5.354                          2 -15.301  34.6 102.89  0.000
## 7   5.494       -0.21490 -0.04780  4 -14.189  36.4 104.67  0.000
## 5   5.364                -0.01865  3 -15.295  36.6 104.88  0.000
## Models ranked by AIC(x) 
## 
## [[106]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   AIC delta weight
## 2   4.956 0.9605                   3 39.157 -72.3  0.00  0.360
## 4   4.987 0.9733 -0.06963          4 40.066 -72.1  0.18  0.329
## 6   4.940 0.9506          0.03927  4 39.418 -70.8  1.48  0.172
## 8   4.973 0.9653 -0.06534 0.02850  5 40.205 -70.4  1.90  0.139
## 5   5.310                 0.25870  3 -8.033  22.1 94.38  0.000
## 7   5.241         0.11470 0.27160  4 -7.657  23.3 95.63  0.000
## 1   5.453                          2 -9.780  23.6 95.87  0.000
## 3   5.406         0.08576          3 -9.582  25.2 97.48  0.000
## Models ranked by AIC(x) 
## 
## [[107]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC delta weight
## 4   5.077 0.9022 -0.09935           4 42.159 -76.3  0.00  0.366
## 8   5.100 0.9201 -0.09863 -0.06410  5 43.084 -76.2  0.15  0.340
## 2   5.031 0.8980                    3 40.301 -74.6  1.72  0.155
## 6   5.055 0.9162          -0.06507  4 41.185 -74.4  1.95  0.138
## 1   5.476                           2 -2.884   9.8 86.09  0.000
## 5   5.422                  0.10510  3 -2.455  10.9 87.23  0.000
## 3   5.509        -0.06927           3 -2.728  11.5 87.78  0.000
## 7   5.456        -0.07145  0.10630  4 -2.287  12.6 88.89  0.000
## Models ranked by AIC(x) 
## 
## [[108]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   AIC  delta weight
## 2   4.961 0.9810                    3  41.017 -76.0   0.00  0.422
## 6   4.985 0.9883          -0.04910  4  41.492 -75.0   1.05  0.250
## 4   4.987 0.9860 -0.04752           4  41.295 -74.6   1.45  0.205
## 8   5.011 0.9932 -0.04787 -0.04931  5  41.779 -73.6   2.48  0.122
## 1   5.438                           2 -12.576  29.2 105.19  0.000
## 5   5.387                  0.09329  3 -12.371  30.7 106.78  0.000
## 3   5.371         0.11330           3 -12.388  30.8 106.81  0.000
## 7   5.322         0.11170  0.09211  4 -12.187  32.4 108.41  0.000
## Models ranked by AIC(x) 
## 
## [[109]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   AIC delta weight
## 4   5.048 0.9364 -0.10160          4 41.748 -75.5  0.00  0.309
## 8   5.008 0.9353 -0.08512 0.07412  5 42.742 -75.5  0.01  0.307
## 6   4.963 0.9398          0.09217  4 41.501 -75.0  0.49  0.241
## 2   5.005 0.9423                   3 39.983 -74.0  1.53  0.144
## 1   5.502                          2 -8.878  21.8 97.25  0.000
## 3   5.564        -0.15770          3 -8.289  22.6 98.07  0.000
## 5   5.447                 0.11730  3 -8.538  23.1 98.57  0.000
## 7   5.516        -0.13800 0.08779  4 -8.103  24.2 99.70  0.000
## Models ranked by AIC(x) 
## 
## [[110]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1        x2       x3 df  logLik    AIC  delta weight
## 4   4.966 1.015 -0.056190           4  54.149 -100.3   0.00  0.390
## 2   4.936 1.013                     3  53.010 -100.0   0.28  0.339
## 8   4.962 1.015 -0.056320 0.006655  5  54.164  -98.3   1.97  0.146
## 6   4.933 1.012           0.005458  4  53.019  -98.0   2.26  0.126
## 1   5.472                           2 -14.518   33.0 133.33  0.000
## 5   5.422                 0.094430  3 -14.320   34.6 134.94  0.000
## 3   5.476       -0.007721           3 -14.517   35.0 135.33  0.000
## 7   5.427       -0.009971 0.094680  4 -14.317   36.6 136.93  0.000
## Models ranked by AIC(x) 
## 
## [[111]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   AIC  delta weight
## 4   5.034 0.9195 -0.08751          4 43.835 -79.7   0.00  0.403
## 2   4.993 0.9170                   3 42.371 -78.7   0.93  0.253
## 8   5.009 0.9209 -0.08643 0.04510  5 44.182 -78.4   1.31  0.210
## 6   4.968 0.9185          0.04750  4 42.734 -77.5   2.20  0.134
## 1   5.407                          2 -8.062  20.1  99.79  0.000
## 3   5.435        -0.05952          3 -7.974  21.9 101.62  0.000
## 5   5.401                 0.01235  3 -8.058  22.1 101.79  0.000
## 7   5.430        -0.05926 0.01064  4 -7.971  23.9 103.61  0.000
## Models ranked by AIC(x) 
## 
## [[112]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2       x3 df  logLik   AIC  delta weight
## 2   4.965 0.9773                     3  48.941 -91.9   0.00  0.528
## 6   4.971 0.9772           -0.01136  4  48.969 -89.9   1.94  0.200
## 4   4.969 0.9772 -0.007895           4  48.955 -89.9   1.97  0.197
## 8   4.977 0.9771 -0.010010 -0.01309  5  48.991 -88.0   3.90  0.075
## 1   5.397                            2 -12.174  28.3 120.23  0.000
## 5   5.410                  -0.02357  3 -12.164  30.3 122.21  0.000
## 3   5.405        -0.017760           3 -12.168  30.3 122.22  0.000
## 7   5.423        -0.022190 -0.02739  4 -12.155  32.3 124.19  0.000
## Models ranked by AIC(x) 
## 
## [[113]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   AIC delta weight
## 4   5.032 0.9355 -0.07624          4 43.330 -78.7  0.00  0.313
## 8   5.003 0.9314 -0.06652 0.05797  5 44.025 -78.0  0.61  0.230
## 6   4.961 0.9411          0.07029  4 43.020 -78.0  0.62  0.229
## 2   4.989 0.9479                   3 42.013 -78.0  0.63  0.228
## 3   5.457        -0.16920          3 -1.355   8.7 87.37  0.000
## 1   5.373                          2 -2.463   8.9 87.59  0.000
## 5   5.315                 0.13240  3 -1.861   9.7 88.38  0.000
## 7   5.403        -0.15120 0.10300  4 -0.989  10.0 88.64  0.000
## Models ranked by AIC(x) 
## 
## [[114]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1      x2        x3 df  logLik   AIC delta weight
## 4   5.022 1.017 -0.1030            4  40.130 -72.3  0.00  0.494
## 2   4.971 1.027                    3  38.355 -70.7  1.55  0.228
## 8   5.026 1.015 -0.1015 -0.008697  5  40.144 -70.3  1.97  0.185
## 6   4.985 1.023         -0.023750  4  38.459 -68.9  3.34  0.093
## 1   5.472                          2 -10.831  25.7 97.92  0.000
## 3   5.560       -0.1970            3  -9.930  25.9 98.12  0.000
## 5   5.561               -0.181500  3  -9.949  25.9 98.16  0.000
## 7   5.623       -0.1685 -0.154600  4  -9.289  26.6 98.84  0.000
## Models ranked by AIC(x) 
## 
## [[115]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 2   4.947 1.044                    3  40.509 -75.0   0.00  0.419
## 6   4.975 1.048          -0.05874  4  41.114 -74.2   0.79  0.283
## 4   4.961 1.043 -0.02968           4  40.645 -73.3   1.73  0.177
## 8   4.990 1.047 -0.03143 -0.05956  5  41.271 -72.5   2.48  0.122
## 1   5.489                          2 -14.848  33.7 108.71  0.000
## 3   5.521       -0.07238           3 -14.760  35.5 110.54  0.000
## 5   5.479                 0.01951  3 -14.841  35.7 110.70  0.000
## 7   5.511       -0.07182  0.01747  4 -14.754  37.5 112.53  0.000
## Models ranked by AIC(x) 
## 
## [[116]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1      x2       x3 df  logLik   AIC  delta weight
## 4   4.983 1.058 -0.1073           4  52.654 -97.3   0.00  0.475
## 8   4.958 1.065 -0.1076  0.04076  5  53.067 -96.1   1.17  0.264
## 2   4.952 1.027                   3  50.630 -95.3   2.05  0.171
## 6   4.929 1.033          0.04014  4  50.999 -94.0   3.31  0.091
## 3   5.348        0.3042           3  -9.360  24.7 122.03  0.000
## 1   5.479                         2 -10.911  25.8 123.13  0.000
## 7   5.410        0.2984 -0.11450  4  -9.081  26.2 123.47  0.000
## 5   5.545               -0.12690  3 -10.589  27.2 124.48  0.000
## Models ranked by AIC(x) 
## 
## [[117]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   AIC  delta weight
## 6   4.915 1.015          0.06887  4  50.982 -94.0   0.00  0.342
## 2   4.940 1.032                   3  49.962 -93.9   0.04  0.335
## 8   4.930 1.019 -0.03398 0.07053  5  51.273 -92.5   1.42  0.168
## 4   4.955 1.036 -0.03097          4  50.194 -92.4   1.58  0.155
## 5   5.319                0.34710  3  -8.924  23.8 117.81  0.000
## 7   5.290        0.06053 0.34250  4  -8.839  25.7 119.64  0.000
## 1   5.492                         2 -11.383  26.8 120.73  0.000
## 3   5.448        0.08447          3 -11.233  28.5 122.43  0.000
## Models ranked by AIC(x) 
## 
## [[118]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 4   4.976 1.015 -0.08411           4  43.817 -79.6   0.00  0.430
## 2   4.927 1.033                    3  42.333 -78.7   0.97  0.265
## 8   4.993 1.008 -0.08181 -0.02748  5  43.963 -77.9   1.71  0.183
## 6   4.951 1.023          -0.03514  4  42.559 -77.1   2.52  0.122
## 7   5.686       -0.22860 -0.25090  4  -7.356  22.7 102.35  0.000
## 5   5.595                -0.28260  3  -8.801  23.6 103.24  0.000
## 3   5.563       -0.26080           3  -8.962  23.9 103.56  0.000
## 1   5.438                          2 -10.746  25.5 105.13  0.000
## Models ranked by AIC(x) 
## 
## [[119]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   AIC  delta weight
## 4   5.021 0.9861 -0.07386            4 50.389 -92.8   0.00  0.353
## 8   5.061 0.9910 -0.08878 -0.060720  5 51.224 -92.4   0.33  0.300
## 2   4.986 0.9728                     3 48.969 -91.9   0.84  0.232
## 6   5.006 0.9742          -0.036260  4 49.267 -90.5   2.24  0.115
## 1   5.436                            2 -9.783  23.6 116.34  0.000
## 3   5.382         0.09629            3 -9.551  25.1 117.88  0.000
## 5   5.433                  0.004529  3 -9.782  25.6 118.34  0.000
## 7   5.359         0.10380  0.032290  4 -9.529  27.1 119.84  0.000
## Models ranked by AIC(x) 
## 
## [[120]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik    AIC  delta weight
## 4   5.017 0.9129 -0.07081           4 54.294 -100.6   0.00  0.397
## 2   4.987 0.8986                    3 53.000 -100.0   0.59  0.296
## 8   5.030 0.9118 -0.07152 -0.02592  5 54.497  -99.0   1.59  0.179
## 6   4.998 0.8974          -0.02420  4 53.168  -98.3   2.25  0.129
## 1   5.445                           2 -8.086   20.2 120.76  0.000
## 3   5.363         0.15590           3 -7.520   21.0 121.63  0.000
## 5   5.478                 -0.07459  3 -7.947   21.9 122.48  0.000
## 7   5.394         0.15320 -0.06917  4 -7.398   22.8 123.38  0.000
## Models ranked by AIC(x) 
## 
## [[121]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   AIC  delta weight
## 2   4.981 0.9679                    3  42.161 -78.3   0.00  0.313
## 6   5.017 0.9656          -0.06196  4  43.026 -78.1   0.27  0.274
## 4   5.008 0.9626 -0.05527           4  42.922 -77.8   0.48  0.247
## 8   5.034 0.9617 -0.04522 -0.05235  5  43.529 -77.1   1.26  0.166
## 1   5.458                           2 -10.115  24.2 102.55  0.000
## 3   5.514        -0.12490           3  -9.635  25.3 103.59  0.000
## 5   5.509                 -0.09178  3  -9.884  25.8 104.09  0.000
## 7   5.546        -0.11180 -0.06770  4  -9.512  27.0 105.35  0.000
## Models ranked by AIC(x) 
## 
## [[122]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   AIC  delta weight
## 2   4.898 1.090                     3  46.246 -86.5   0.00  0.469
## 4   4.927 1.082 -0.04688            4  46.661 -85.3   1.17  0.261
## 6   4.898 1.090           0.000809  4  46.247 -84.5   2.00  0.173
## 8   4.928 1.082 -0.04703 -0.001948  5  46.662 -83.3   3.17  0.096
## 3   5.630       -0.30430            3 -18.457  42.9 129.41  0.000
## 1   5.472                           2 -19.778  43.6 130.05  0.000
## 7   5.558       -0.29140  0.124400  4 -18.165  44.3 130.82  0.000
## 5   5.394                 0.147800  3 -19.384  44.8 131.26  0.000
## Models ranked by AIC(x) 
## 
## [[123]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik    AIC  delta weight
## 4   4.965 1.031 -0.06051          4  54.364 -100.7   0.00  0.346
## 2   4.939 1.027                   3  53.286 -100.6   0.16  0.320
## 6   4.923 1.023          0.03957  4  53.712  -99.4   1.30  0.180
## 8   4.951 1.028 -0.05462 0.02670  5  54.555  -99.1   1.62  0.154
## 1   5.467                         2 -14.465   32.9 133.66  0.000
## 5   5.379                0.18400  3 -13.838   33.7 134.40  0.000
## 3   5.461        0.01342          3 -14.461   34.9 135.65  0.000
## 7   5.348        0.05488 0.19630  4 -13.782   35.6 136.29  0.000
## Models ranked by AIC(x) 
## 
## [[124]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik    AIC  delta weight
## 2   4.974 0.9114                    3 53.049 -100.1   0.00  0.498
## 4   4.987 0.9179 -0.02881           4 53.280  -98.6   1.54  0.231
## 6   4.972 0.9113          0.003140  4 53.053  -98.1   1.99  0.184
## 8   4.985 0.9179 -0.02974 0.006277  5 53.296  -96.6   3.51  0.086
## 1   5.433                           2 -5.161   14.3 114.42  0.000
## 3   5.335         0.16910           3 -4.334   14.7 114.77  0.000
## 5   5.423                 0.019620  3 -5.146   16.3 116.39  0.000
## 7   5.335         0.16890 0.001133  4 -4.334   16.7 116.77  0.000
## Models ranked by AIC(x) 
## 
## [[125]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 4   4.971 1.036 -0.08960           4  48.956 -89.9   0.00  0.467
## 2   4.921 1.038                    3  47.262 -88.5   1.39  0.233
## 8   4.977 1.037 -0.08569 -0.01914  5  49.036 -88.1   1.84  0.186
## 6   4.936 1.040          -0.03599  4  47.538 -87.1   2.83  0.113
## 1   5.509                          2 -17.848  39.7 129.61  0.000
## 3   5.580       -0.12770           3 -17.600  41.2 131.11  0.000
## 5   5.498                 0.02486  3 -17.838  41.7 131.59  0.000
## 7   5.562       -0.13820  0.05177  4 -17.559  43.1 133.03  0.000
## Models ranked by AIC(x) 
## 
## [[126]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1        x2       x3 df  logLik   AIC delta weight
## 4   4.974 1.055 -0.109800           4  34.768 -61.5  0.00  0.429
## 2   4.923 1.046                     3  33.400 -60.8  0.74  0.297
## 8   4.975 1.055 -0.110000 -0.00101  5  34.768 -59.5  2.00  0.158
## 6   4.913 1.045            0.02065  4  33.461 -58.9  2.61  0.116
## 1   5.434                           2 -10.074  24.1 85.68  0.000
## 5   5.403                  0.05842  3  -9.988  26.0 87.51  0.000
## 3   5.445       -0.022770           3 -10.063  26.1 87.66  0.000
## 7   5.408       -0.008674  0.05674  4  -9.986  28.0 89.51  0.000
## Models ranked by AIC(x) 
## 
## [[127]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   AIC  delta weight
## 4   5.025 0.9415 -0.06625          4 50.693 -93.4   0.00  0.319
## 2   4.990 0.9511                   3 49.510 -93.0   0.37  0.265
## 8   5.002 0.9380 -0.06366 0.04718  5 51.323 -92.6   0.74  0.220
## 6   4.966 0.9469          0.05062  4 50.205 -92.4   0.98  0.196
## 1   5.422                          2 -6.794  17.6 110.97  0.000
## 3   5.509        -0.18580          3 -5.801  17.6 110.99  0.000
## 5   5.362                 0.11870  3 -6.392  18.8 112.17  0.000
## 7   5.451        -0.17890 0.10730  4 -5.461  18.9 112.31  0.000
## Models ranked by AIC(x) 
## 
## [[128]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1      x2        x3 df logLik   AIC  delta weight
## 2   4.976 0.9566                    3 43.593 -81.2   0.00  0.530
## 4   4.972 0.9528 0.01183            4 43.614 -79.2   1.96  0.199
## 6   4.973 0.9568          0.007163  4 43.605 -79.2   1.98  0.197
## 8   4.970 0.9534 0.01043  0.005368  5 43.620 -77.2   3.95  0.074
## 3   5.204        0.34300            3 -4.683  15.4  96.55  0.000
## 7   5.233        0.35930 -0.073300  4 -4.511  17.0  98.21  0.000
## 1   5.367                           2 -7.427  18.9 100.04  0.000
## 5   5.374                -0.014120  3 -7.421  20.8 102.03  0.000
## Models ranked by AIC(x) 
## 
## [[129]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   AIC  delta weight
## 2   4.956 0.9868                    3  38.085 -70.2   0.00  0.413
## 6   4.915 1.0010           0.07232  4  38.780 -69.6   0.61  0.304
## 4   4.965 0.9858 -0.01738           4  38.130 -68.3   1.91  0.159
## 8   4.926 1.0000 -0.02581  0.07556  5  38.879 -67.8   2.41  0.124
## 1   5.459                           2 -12.463  28.9  99.10  0.000
## 5   5.537                 -0.16500  3 -11.963  29.9 100.10  0.000
## 3   5.496        -0.07842           3 -12.343  30.7 100.86  0.000
## 7   5.561        -0.05904 -0.15720  4 -11.895  31.8 101.96  0.000
## Models ranked by AIC(x) 
## 
## [[130]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC  delta weight
## 8   5.074 0.9623 -0.08837 -0.08190  5 49.436 -88.9   0.00  0.419
## 4   5.035 0.9549 -0.09670           4 48.198 -88.4   0.47  0.330
## 6   5.043 0.9594          -0.09441  4 47.460 -86.9   1.95  0.158
## 2   4.994 0.9505                    3 45.928 -85.9   3.02  0.093
## 1   5.449                           2 -7.374  18.7 107.62  0.000
## 3   5.475        -0.05788           3 -7.282  20.6 109.43  0.000
## 5   5.440                  0.01637  3 -7.369  20.7 109.61  0.000
## 7   5.462        -0.06052  0.02516  4 -7.269  22.5 111.41  0.000
## Models ranked by AIC(x) 
## 
## [[131]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik    AIC  delta weight
## 2   5.000 0.8938                    3 53.560 -101.1   0.00  0.477
## 4   5.016 0.8959 -0.03420           4 53.871  -99.7   1.38  0.239
## 6   4.990 0.8979           0.01355  4 53.608  -99.2   1.91  0.184
## 8   5.003 0.9030 -0.03909  0.02231  5 53.995  -98.0   3.13  0.100
## 5   5.611                 -0.25670  3 -2.106   10.2 111.33  0.000
## 7   5.579         0.07899 -0.27130  4 -1.934   11.9 112.99  0.000
## 1   5.480                           2 -4.050   12.1 113.22  0.000
## 3   5.468         0.02511           3 -4.033   14.1 115.19  0.000
## Models ranked by AIC(x) 
## 
## [[132]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   AIC delta weight
## 2   4.983 0.9512                   3 36.785 -67.6  0.00  0.338
## 6   4.952 0.9510          0.06264  4 37.550 -67.1  0.47  0.268
## 4   5.009 0.9613 -0.06032          4 37.359 -66.7  0.85  0.221
## 8   4.978 0.9608 -0.05887 0.06152  5 38.114 -66.2  1.34  0.173
## 1   5.431                          2 -7.953  19.9 87.48  0.000
## 3   5.391         0.07781          3 -7.791  21.6 89.15  0.000
## 5   5.399                 0.06531  3 -7.816  21.6 89.20  0.000
## 7   5.357         0.07931 0.06680  4 -7.646  23.3 90.86  0.000
## Models ranked by AIC(x) 
## 
## [[133]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC delta weight
## 6   5.040 0.9034          -0.07341  4 40.506 -73.0  0.00  0.339
## 2   5.002 0.9109                    3 39.368 -72.7  0.28  0.295
## 4   5.032 0.9047 -0.06447           4 39.907 -71.8  1.20  0.186
## 8   5.062 0.8990 -0.05275 -0.06775  5 40.875 -71.8  1.26  0.180
## 1   5.467                           2 -9.133  22.3 95.28  0.000
## 5   5.538                 -0.15200  3 -8.431  22.9 95.88  0.000
## 3   5.546        -0.18370           3 -8.496  23.0 96.00  0.000
## 7   5.598        -0.15910 -0.13380  4 -7.952  23.9 96.92  0.000
## Models ranked by AIC(x) 
## 
## [[134]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1         x2      x3 df  logLik   AIC  delta weight
## 2   4.936 1.041                     3  46.630 -87.3   0.00  0.455
## 6   4.913 1.031            0.05674  4  47.126 -86.3   1.01  0.275
## 4   4.936 1.041 -0.0008722          4  46.630 -85.3   2.00  0.167
## 8   4.907 1.032  0.0101200 0.05901  5  47.144 -84.3   2.97  0.103
## 5   5.320                  0.30980  3 -10.422  26.8 114.10  0.000
## 1   5.472                           2 -11.938  27.9 115.14  0.000
## 7   5.404       -0.1527000 0.27030  4  -9.988  28.0 115.24  0.000
## 3   5.562       -0.2111000          3 -11.106  28.2 115.47  0.000
## Models ranked by AIC(x) 
## 
## [[135]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2       x3 df logLik   AIC  delta weight
## 6   4.990 0.9773           -0.09196  4 46.152 -84.3   0.00  0.352
## 8   5.022 0.9828 -0.063530 -0.08559  5 47.145 -84.3   0.02  0.349
## 4   4.977 0.9910 -0.072010           4 45.392 -82.8   1.52  0.164
## 2   4.936 0.9854                     3 44.196 -82.4   1.91  0.135
## 1   5.504                            2 -8.347  20.7 105.00  0.000
## 5   5.591                  -0.16250  3 -7.613  21.2 105.53  0.000
## 3   5.509        -0.008922           3 -8.345  22.7 106.99  0.000
## 7   5.587         0.006248 -0.16310  4 -7.612  23.2 107.53  0.000
## Models ranked by AIC(x) 
## 
## [[136]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 4   4.948 1.064 -0.09706           4  43.635 -79.3   0.00  0.402
## 8   4.924 1.067 -0.10520 0.052410  5  44.306 -78.6   0.66  0.289
## 2   4.910 1.050                    3  41.942 -77.9   1.39  0.201
## 6   4.889 1.051          0.040010  4  42.312 -76.6   2.65  0.107
## 1   5.375                          2 -12.854  29.7 108.98  0.000
## 3   5.348        0.05990           3 -12.782  31.6 110.84  0.000
## 5   5.369                0.013400  3 -12.849  31.7 110.97  0.000
## 7   5.345        0.05891 0.006681  4 -12.781  33.6 112.83  0.000
## Models ranked by AIC(x) 
## 
## [[137]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 6   4.980 1.021          -0.08597  4  42.863 -77.7   0.00  0.320
## 8   5.021 1.017 -0.07606 -0.08610  5  43.746 -77.5   0.23  0.284
## 2   4.937 1.016                    3  41.466 -76.9   0.79  0.215
## 4   4.978 1.012 -0.07588           4  42.297 -76.6   1.13  0.181
## 1   5.450                          2 -12.605  29.2 106.94  0.000
## 3   5.524       -0.14660           3 -12.251  30.5 108.23  0.000
## 5   5.462                -0.02229  3 -12.595  31.2 108.92  0.000
## 7   5.536       -0.14670 -0.02302  4 -12.239  32.5 110.20  0.000
## Models ranked by AIC(x) 
## 
## [[138]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   AIC  delta weight
## 4   5.023 0.9614 -0.09281          4 50.683 -93.4   0.00  0.407
## 8   4.999 0.9508 -0.08207 0.04962  5 51.393 -92.8   0.58  0.304
## 6   4.939 0.9705          0.06511  4 49.732 -91.5   1.90  0.157
## 2   4.961 0.9885                   3 48.552 -91.1   2.26  0.131
## 7   5.554        -0.25390 0.18330  4 -0.444   8.9 102.26  0.000
## 3   5.669        -0.30200          3 -1.685   9.4 102.74  0.000
## 5   5.397                 0.24230  3 -2.515  11.0 104.40  0.000
## 1   5.517                          2 -4.606  13.2 106.58  0.000
## Models ranked by AIC(x) 
## 
## [[139]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   AIC  delta weight
## 2   4.962 1.0050                   3 48.552 -91.1   0.00  0.404
## 6   4.942 0.9882          0.05384  4 49.127 -90.3   0.85  0.264
## 4   4.978 1.0010 -0.03475          4 48.883 -89.8   1.34  0.207
## 8   4.957 0.9860 -0.02995 0.04982  5 49.374 -88.7   2.36  0.124
## 5   5.243                 0.35810  3 -5.427  16.9 107.96  0.000
## 7   5.283        -0.08329 0.34500  4 -5.210  18.4 109.52  0.000
## 1   5.429                          2 -8.439  20.9 111.98  0.000
## 3   5.479        -0.12580          3 -7.989  22.0 113.08  0.000
## Models ranked by AIC(x) 
## 
## [[140]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 6   4.986 1.042          -0.09927  4  41.461 -74.9   0.00  0.440
## 2   4.930 1.048                    3  39.953 -73.9   1.02  0.264
## 8   4.996 1.043 -0.02214 -0.09621  5  41.555 -73.1   1.81  0.178
## 4   4.946 1.048 -0.03302           4  40.151 -72.3   2.62  0.119
## 1   5.432                          2 -16.893  37.8 112.71  0.000
## 5   5.525                -0.17240  3 -16.433  38.9 113.79  0.000
## 3   5.434       -0.00475           3 -16.893  39.8 114.71  0.000
## 7   5.519        0.01470 -0.17440  4 -16.429  40.9 115.78  0.000
## Models ranked by AIC(x) 
## 
## [[141]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC  delta weight
## 6   5.035 0.9360          -0.07265  4 49.977 -92.0   0.00  0.350
## 2   5.001 0.9242                    3 48.639 -91.3   0.68  0.249
## 8   5.054 0.9572 -0.05419 -0.07605  5 50.637 -91.3   0.68  0.249
## 4   5.016 0.9427 -0.04861           4 49.143 -90.3   1.67  0.152
## 3   5.300         0.26710           3 -2.039  10.1 102.03  0.000
## 7   5.268         0.26770  0.05846  4 -1.925  11.9 103.80  0.000
## 1   5.432                           2 -4.219  12.4 104.39  0.000
## 5   5.402                  0.05605  3 -4.123  14.2 106.20  0.000
## Models ranked by AIC(x) 
## 
## [[142]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1      x2        x3 df logLik   AIC  delta weight
## 4   5.015 0.9726 -0.1037            4 51.430 -94.9   0.00  0.507
## 2   4.966 0.9733                    3 49.551 -93.1   1.76  0.211
## 8   5.011 0.9663 -0.1083 0.0182600  5 51.521 -93.0   1.82  0.204
## 6   4.966 0.9731         0.0006794  4 49.551 -91.1   3.76  0.078
## 5   5.322                0.2644000  3 -5.176  16.4 111.21  0.000
## 7   5.395        -0.1859 0.2914000  4 -4.540  17.1 111.94  0.000
## 1   5.458                           2 -7.357  18.7 113.57  0.000
## 3   5.511        -0.1127            3 -7.136  20.3 115.13  0.000
## Models ranked by AIC(x) 
## 
## [[143]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 2   4.943 1.068                    3  51.303 -96.6   0.00  0.385
## 4   4.970 1.072 -0.05411           4  52.166 -96.3   0.27  0.336
## 6   4.935 1.064          0.019180  4  51.395 -94.8   1.82  0.155
## 8   4.969 1.072 -0.05367 0.001545  5  52.167 -94.3   2.27  0.124
## 5   5.446                0.226800  3  -9.097  24.2 120.80  0.000
## 1   5.568                          2 -10.265  24.5 121.14  0.000
## 7   5.393        0.07732 0.250000  4  -8.954  25.9 122.51  0.000
## 3   5.563        0.01013           3 -10.263  26.5 123.13  0.000
## Models ranked by AIC(x) 
## 
## [[144]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2       x3 df logLik   AIC delta weight
## 4   5.029 0.9704 -0.097520           4 35.747 -63.5  0.00  0.399
## 2   4.982 0.9581                     3 34.476 -63.0  0.54  0.304
## 8   5.011 0.9744 -0.096360  0.02903  5 35.872 -61.7  1.75  0.166
## 6   4.963 0.9628            0.03258  4 34.626 -61.3  2.24  0.130
## 1   5.472                            2 -6.898  17.8 81.29  0.000
## 5   5.513                  -0.07868  3 -6.728  19.5 82.95  0.000
## 3   5.467         0.009565           3 -6.895  19.8 83.28  0.000
## 7   5.510         0.005237 -0.07841  4 -6.727  21.5 84.95  0.000
## Models ranked by AIC(x) 
## 
## [[145]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1        x2       x3 df  logLik   AIC  delta weight
## 2   4.947 1.039                     3  50.543 -95.1   0.00  0.387
## 4   4.968 1.043 -0.052180           4  51.366 -94.7   0.36  0.324
## 6   4.953 1.038           -0.01462  4  50.607 -93.2   1.87  0.152
## 8   4.979 1.042 -0.055120 -0.02201  5  51.512 -93.0   2.06  0.138
## 1   5.503                           2 -10.446  24.9 119.98  0.000
## 5   5.525                 -0.05310  3 -10.373  26.7 121.83  0.000
## 3   5.501        0.005133           3 -10.445  26.9 121.98  0.000
## 7   5.526       -0.002116 -0.05339  4 -10.372  28.7 123.83  0.000
## Models ranked by AIC(x) 
## 
## [[146]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik    AIC  delta weight
## 4   5.010 0.9185 -0.07365           4 54.422 -100.8   0.00  0.475
## 2   4.982 0.9006                    3 52.750  -99.5   1.34  0.243
## 8   5.017 0.9157 -0.07302 -0.01250  5 54.482  -99.0   1.88  0.185
## 6   4.991 0.8972          -0.01556  4 52.837  -97.7   3.17  0.097
## 5   5.470                 -0.17020  3 -5.135   16.3 117.12  0.000
## 1   5.388                           2 -6.169   16.3 117.18  0.000
## 7   5.402         0.13470 -0.17000  4 -4.563   17.1 117.97  0.000
## 3   5.320         0.13500           3 -5.618   17.2 118.08  0.000
## Models ranked by AIC(x) 
## 
## [[147]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df  logLik   AIC  delta weight
## 4   4.997 0.9822 -0.07716            4  51.139 -94.3   0.00  0.450
## 2   4.961 0.9802                     3  49.630 -93.3   1.02  0.271
## 8   4.998 0.9822 -0.07611 -0.003947  5  51.144 -92.3   1.99  0.167
## 6   4.971 0.9801          -0.019000  4  49.750 -91.5   2.78  0.112
## 1   5.432                            2 -14.839  33.7 127.96  0.000
## 3   5.453        -0.04444            3 -14.802  35.6 129.88  0.000
## 5   5.444                 -0.023290  3 -14.825  35.7 129.93  0.000
## 7   5.459        -0.04038 -0.015310  4 -14.797  37.6 131.87  0.000
## Models ranked by AIC(x) 
## 
## [[148]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 6   4.991 1.061          -0.12550  4  38.977 -70.0   0.00  0.419
## 2   4.916 1.057                    3  37.395 -68.8   1.16  0.234
## 8   5.016 1.064 -0.04670 -0.12680  5  39.363 -68.7   1.23  0.227
## 4   4.939 1.059 -0.04461           4  37.725 -67.4   2.50  0.120
## 1   5.461                          2 -18.924  41.8 111.80  0.000
## 5   5.494                -0.05364  3 -18.894  43.8 113.74  0.000
## 3   5.453        0.01643           3 -18.919  43.8 113.79  0.000
## 7   5.486        0.01566 -0.05326  4 -18.890  45.8 115.73  0.000
## Models ranked by AIC(x) 
## 
## [[149]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC  delta weight
## 6   5.035 0.9388          -0.07965  4 50.286 -92.6   0.00  0.436
## 8   5.043 0.9449 -0.03665 -0.07027  5 50.576 -91.2   1.42  0.214
## 2   4.994 0.9447                    3 48.477 -91.0   1.62  0.194
## 4   5.016 0.9536 -0.05936           4 49.257 -90.5   2.06  0.156
## 1   5.446                           2 -9.327  22.7 115.23  0.000
## 5   5.515                 -0.14460  3 -8.748  23.5 116.07  0.000
## 3   5.401         0.10220           3 -9.095  24.2 116.76  0.000
## 7   5.464         0.15750 -0.18310  4 -8.221  24.4 117.01  0.000
## Models ranked by AIC(x) 
## 
## [[150]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df logLik   AIC  delta weight
## 2   4.953 1.042                    3 47.844 -89.7   0.00  0.368
## 4   4.975 1.049 -0.06184           4 48.752 -89.5   0.18  0.336
## 8   4.961 1.054 -0.06666  0.02846  5 48.951 -87.9   1.79  0.151
## 6   4.943 1.044           0.01759  4 47.919 -87.8   1.85  0.146
## 1   5.453                          2 -9.298  22.6 112.28  0.000
## 5   5.502                -0.09914  3 -9.051  24.1 113.79  0.000
## 3   5.430        0.05364           3 -9.228  24.5 114.14  0.000
## 7   5.477        0.07028 -0.10940  4 -8.933  25.9 115.55  0.000
## Models ranked by AIC(x) 
## 
## [[151]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1         x2       x3 df  logLik   AIC  delta weight
## 2   4.929 1.024                      3  49.592 -93.2   0.00  0.333
## 6   4.956 1.017            -0.05117  4  50.344 -92.7   0.49  0.260
## 8   4.985 1.020 -0.0577500 -0.06562  5  51.184 -92.4   0.82  0.222
## 4   4.944 1.027 -0.0397200           4  50.002 -92.0   1.18  0.185
## 1   5.470                            2 -15.260  34.5 127.70  0.000
## 5   5.560                  -0.19770  3 -14.401  34.8 127.99  0.000
## 3   5.446        0.0571500           3 -15.196  36.4 129.58  0.000
## 7   5.559        0.0006701 -0.19750  4 -14.401  36.8 129.99  0.000
## Models ranked by AIC(x) 
## 
## [[152]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2      x3 df logLik   AIC  delta weight
## 6   4.965 0.9150           0.07232  4 52.798 -97.6   0.00  0.310
## 8   4.995 0.9205 -0.057130 0.06084  5 53.633 -97.3   0.33  0.263
## 4   5.030 0.9265 -0.071080          4 52.557 -97.1   0.48  0.244
## 2   4.999 0.9209                    3 51.270 -96.5   1.06  0.183
## 1   5.495                           2 -7.392  18.8 116.38  0.000
## 5   5.421                  0.14480  3 -6.813  19.6 117.22  0.000
## 3   5.490         0.009715          3 -7.390  20.8 118.38  0.000
## 7   5.396         0.043530 0.15330  4 -6.769  21.5 119.13  0.000
## Models ranked by AIC(x) 
## 
## [[153]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC delta weight
## 4   5.004 1.022 -0.11140           4  35.882 -63.8  0.00  0.411
## 2   4.947 1.022                    3  34.361 -62.7  1.04  0.244
## 8   4.975 1.030 -0.12030  0.05684  5  36.326 -62.7  1.11  0.235
## 6   4.924 1.028           0.03968  4  34.568 -61.1  2.63  0.110
## 1   5.501                          2 -11.041  26.1 89.85  0.000
## 3   5.557       -0.11050           3 -10.804  27.6 91.37  0.000
## 5   5.549                -0.09312  3 -10.852  27.7 91.47  0.000
## 7   5.591       -0.09805 -0.07940  4 -10.668  29.3 93.10  0.000
## Models ranked by AIC(x) 
## 
## [[154]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   AIC  delta weight
## 4   4.948 1.078 -0.09548            4  41.107 -74.2   0.00  0.477
## 2   4.904 1.067                     3  39.471 -72.9   1.27  0.253
## 8   4.951 1.078 -0.09597 -0.005030  5  41.111 -72.2   1.99  0.176
## 6   4.902 1.067           0.004933  4  39.475 -71.0   3.26  0.093
## 1   5.400                           2 -14.445  32.9 107.10  0.000
## 3   5.385        0.02851            3 -14.428  34.9 109.07  0.000
## 5   5.390                 0.019500  3 -14.438  34.9 109.09  0.000
## 7   5.372        0.03066  0.022640  4 -14.419  36.8 111.05  0.000
## Models ranked by AIC(x) 
## 
## [[155]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 4   4.991 1.006 -0.08555           4  43.552 -79.1   0.00  0.338
## 8   5.004 1.019 -0.07328 -0.05968  5  44.145 -78.3   0.81  0.225
## 2   4.944 1.007                    3  42.115 -78.2   0.87  0.219
## 6   4.970 1.025          -0.07726  4  43.110 -78.2   0.88  0.218
## 1   5.524                          2 -11.496  27.0 106.10  0.000
## 5   5.448                 0.16870  3 -10.914  27.8 106.93  0.000
## 3   5.581       -0.10700           3 -11.239  28.5 107.58  0.000
## 7   5.511       -0.14740  0.20140  4 -10.434  28.9 107.97  0.000
## Models ranked by AIC(x) 
## 
## [[156]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 2   4.940 1.023                    3  46.905 -87.8   0.00  0.429
## 6   4.916 1.027           0.04638  4  47.466 -86.9   0.88  0.277
## 4   4.957 1.017 -0.02511           4  47.072 -86.1   1.67  0.187
## 8   4.927 1.024 -0.01433  0.04267  5  47.517 -85.0   2.77  0.107
## 3   5.602       -0.21080           3 -10.371  26.7 114.55  0.000
## 1   5.487                          2 -11.579  27.2 114.97  0.000
## 7   5.656       -0.23070 -0.08784  4 -10.179  28.4 116.17  0.000
## 5   5.503                -0.03254  3 -11.553  29.1 116.91  0.000
## Models ranked by AIC(x) 
## 
## [[157]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 4   4.992 1.028 -0.08787           4  48.401 -88.8   0.00  0.421
## 2   4.958 1.007                    3  46.832 -87.7   1.14  0.238
## 8   4.973 1.033 -0.08814  0.03531  5  48.756 -87.5   1.29  0.221
## 6   4.940 1.011           0.03481  4  47.155 -86.3   2.49  0.121
## 1   5.443                          2 -11.440  26.9 115.68  0.000
## 3   5.354        0.18080           3 -10.763  27.5 116.33  0.000
## 5   5.479                -0.07608  3 -11.289  28.6 117.38  0.000
## 7   5.389        0.17890 -0.07238  4 -10.622  29.2 118.05  0.000
## Models ranked by AIC(x) 
## 
## [[158]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 4   4.984 1.013 -0.08151           4  46.775 -85.6   0.00  0.409
## 8   4.959 1.017 -0.08383  0.04391  5  47.270 -84.5   1.01  0.247
## 2   4.935 1.027                    3  45.174 -84.3   1.20  0.224
## 6   4.911 1.031           0.03958  4  45.551 -83.1   2.45  0.120
## 3   5.571       -0.24920           3 -12.609  31.2 116.77  0.000
## 1   5.442                          2 -14.047  32.1 117.64  0.000
## 7   5.590       -0.24660 -0.03871  4 -12.573  33.1 118.70  0.000
## 5   5.472                -0.05527  3 -13.978  34.0 119.51  0.000
## Models ranked by AIC(x) 
## 
## [[159]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   AIC  delta weight
## 2   5.008 0.9009                   3 43.460 -80.9   0.00  0.417
## 6   4.986 0.9003          0.04620  4 43.935 -79.9   1.05  0.247
## 4   5.029 0.8996 -0.03979          4 43.781 -79.6   1.36  0.211
## 8   5.007 0.8991 -0.03928 0.04580  5 44.255 -78.5   2.41  0.125
## 1   5.440                          2 -9.477  23.0 103.87  0.000
## 3   5.477        -0.07185          3 -9.351  24.7 105.62  0.000
## 5   5.413                 0.05773  3 -9.388  24.8 105.70  0.000
## 7   5.450        -0.07119 0.05698  4 -9.264  26.5 107.45  0.000
## Models ranked by AIC(x) 
## 
## [[160]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 4   4.976 1.025 -0.07746           4  50.745 -93.5   0.00  0.418
## 2   4.941 1.019                    3  49.385 -92.8   0.72  0.292
## 8   4.989 1.029 -0.08493 -0.02504  5  50.917 -91.8   1.66  0.183
## 6   4.943 1.020          -0.00495  4  49.392 -90.8   2.71  0.108
## 1   5.429                          2 -15.138  34.3 127.77  0.000
## 5   5.352                 0.16940  3 -14.508  35.0 128.51  0.000
## 3   5.420        0.01987           3 -15.131  36.3 129.75  0.000
## 7   5.310        0.07176  0.18500  4 -14.424  36.8 130.34  0.000
## Models ranked by AIC(x) 
## 
## [[161]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1        x2       x3 df  logLik   AIC  delta weight
## 4   4.992 1.025 -0.085280           4  49.611 -91.2   0.00  0.500
## 2   4.957 1.018                     3  47.737 -89.5   1.75  0.209
## 8   4.999 1.024 -0.082730 -0.01663  5  49.676 -89.4   1.87  0.196
## 6   4.972 1.016           -0.03054  4  47.949 -87.9   3.32  0.095
## 1   5.470                           2 -12.588  29.2 120.40  0.000
## 5   5.508                 -0.07950  3 -12.460  30.9 122.14  0.000
## 3   5.466        0.006998           3 -12.587  31.2 122.40  0.000
## 7   5.501        0.019260 -0.08264  4 -12.451  32.9 124.12  0.000
## Models ranked by AIC(x) 
## 
## [[162]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   AIC  delta weight
## 4   4.979 1.047 -0.08855            4  42.953 -77.9   0.00  0.440
## 2   4.936 1.049                     3  41.520 -77.0   0.87  0.286
## 8   4.980 1.047 -0.08804 -0.002809  5  42.955 -75.9   2.00  0.162
## 6   4.944 1.051          -0.018460  4  41.583 -75.2   2.74  0.112
## 1   5.413                           2 -14.147  32.3 110.20  0.000
## 3   5.465       -0.11090            3 -13.910  33.8 111.73  0.000
## 5   5.368                 0.097510  3 -13.954  33.9 111.82  0.000
## 7   5.420       -0.13290  0.120600  4 -13.622  35.2 113.15  0.000
## Models ranked by AIC(x) 
## 
## [[163]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik    AIC  delta weight
## 2   4.986 0.9749                    3 53.008 -100.0   0.00  0.397
## 4   5.012 0.9699 -0.05237           4 53.829  -99.7   0.36  0.332
## 6   4.984 0.9737          0.005201  4 53.014  -98.0   1.99  0.147
## 8   5.010 0.9686 -0.05242 0.005810  5 53.837  -97.7   2.34  0.123
## 5   5.379                 0.246000  3 -6.172   18.3 118.36  0.000
## 1   5.509                           2 -7.538   19.1 119.09  0.000
## 7   5.440        -0.13410 0.244300  4 -5.666   19.3 119.35  0.000
## 3   5.570        -0.13660           3 -7.041   20.1 120.10  0.000
## Models ranked by AIC(x) 
## 
## [[164]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df logLik   AIC  delta weight
## 4   4.980 1.067 -0.09363          4 44.745 -81.5   0.00  0.475
## 2   4.930 1.073                   3 43.047 -80.1   1.40  0.237
## 8   4.970 1.063 -0.09429 0.02116  5 44.850 -79.7   1.79  0.194
## 6   4.921 1.070          0.01863  4 43.123 -78.2   3.24  0.094
## 1   5.422                         2 -9.465  22.9 104.42  0.000
## 3   5.497       -0.15030          3 -8.940  23.9 105.37  0.000
## 5   5.351                0.13170  3 -8.988  24.0 105.47  0.000
## 7   5.426       -0.15340 0.13470  4 -8.430  24.9 106.35  0.000
## Models ranked by AIC(x) 
## 
## [[165]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 6   4.900 1.032           0.09128  4  40.580 -73.2   0.00  0.369
## 2   4.948 1.024                    3  39.404 -72.8   0.35  0.309
## 4   4.971 1.025 -0.04985           4  39.810 -71.6   1.54  0.171
## 8   4.917 1.032 -0.02669  0.08247  5  40.690 -71.4   1.78  0.151
## 1   5.447                          2 -16.184  36.4 109.53  0.000
## 5   5.463                -0.03133  3 -16.169  38.3 111.50  0.000
## 3   5.460       -0.02578           3 -16.173  38.3 111.50  0.000
## 7   5.487       -0.03819 -0.04390  4 -16.146  40.3 113.45  0.000
## Models ranked by AIC(x) 
## 
## [[166]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   AIC  delta weight
## 2   4.943 1.004                   3  44.988 -84.0   0.00  0.299
## 4   4.978 1.010 -0.06729          4  45.847 -83.7   0.28  0.260
## 6   4.919 0.997          0.05762  4  45.724 -83.4   0.53  0.230
## 8   4.954 1.003 -0.06852 0.05885  5  46.642 -83.3   0.69  0.212
## 1   5.399                         2 -11.702  27.4 111.38  0.000
## 5   5.316                0.17330  3 -11.004  28.0 111.98  0.000
## 3   5.376        0.04018          3 -11.671  29.3 113.32  0.000
## 7   5.297        0.03441 0.17230  4 -10.980  30.0 113.94  0.000
## Models ranked by AIC(x) 
## 
## [[167]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df  logLik   AIC delta weight
## 2   5.005 0.9150                     3  36.069 -66.1  0.00  0.418
## 4   5.039 0.9249 -0.06753            4  36.779 -65.6  0.58  0.313
## 6   5.004 0.9150           0.001303  4  36.069 -64.1  2.00  0.154
## 8   5.037 0.9251 -0.06761  0.003172  5  36.780 -63.6  2.58  0.115
## 1   5.437                            2 -11.066  26.1 92.27  0.000
## 3   5.393         0.07689            3 -10.924  27.8 93.99  0.000
## 5   5.474                 -0.062980  3 -10.980  28.0 94.10  0.000
## 7   5.430         0.07788 -0.064320  4 -10.835  29.7 95.81  0.000
## Models ranked by AIC(x) 
## 
## [[168]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik   AIC  delta weight
## 2   4.954 0.9768                   3  46.197 -86.4   0.00  0.499
## 4   4.971 0.9739 -0.02663          4  46.377 -84.8   1.64  0.220
## 6   4.946 0.9751          0.01861  4  46.267 -84.5   1.86  0.197
## 8   4.963 0.9728 -0.02478 0.01467  5  46.420 -82.8   3.55  0.084
## 1   5.448                          2 -13.346  30.7 117.09  0.000
## 3   5.520        -0.13200          3 -12.930  31.9 118.25  0.000
## 5   5.383                 0.13480  3 -13.003  32.0 118.40  0.000
## 7   5.456        -0.11650 0.11490  4 -12.683  33.4 119.76  0.000
## Models ranked by AIC(x) 
## 
## [[169]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   AIC  delta weight
## 4   4.990 0.9993 -0.07529           4  43.308 -78.6   0.00  0.401
## 2   4.954 0.9963                    3  42.056 -78.1   0.50  0.312
## 8   4.980 1.0000 -0.07346  0.01877  5  43.370 -76.7   1.88  0.157
## 6   4.939 0.9975           0.02792  4  42.189 -76.4   2.24  0.131
## 1   5.492                           2 -12.446  28.9 107.51  0.000
## 3   5.512        -0.03845           3 -12.410  30.8 109.44  0.000
## 5   5.502                 -0.02040  3 -12.438  30.9 109.49  0.000
## 7   5.526        -0.04098 -0.02557  4 -12.398  32.8 111.41  0.000
## Models ranked by AIC(x) 
## 
## [[170]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   AIC  delta weight
## 2   4.958 0.9508                   3 51.223 -96.4   0.00  0.411
## 4   4.981 0.9504 -0.04329          4 51.724 -95.4   1.00  0.250
## 6   4.944 0.9515          0.03142  4 51.505 -95.0   1.44  0.200
## 8   4.967 0.9511 -0.04880 0.03800  5 52.138 -94.3   2.17  0.139
## 1   5.405                          2 -9.666  23.3 119.78  0.000
## 3   5.432        -0.05328          3 -9.600  25.2 121.65  0.000
## 5   5.399                 0.01229  3 -9.662  25.3 121.77  0.000
## 7   5.426        -0.05617 0.01988  4 -9.590  27.2 123.63  0.000
## Models ranked by AIC(x) 
## 
## [[171]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   AIC  delta weight
## 2   4.961 1.016                   3  47.450 -88.9   0.00  0.351
## 4   4.984 1.016 -0.05053          4  48.242 -88.5   0.42  0.285
## 6   4.941 1.014          0.04152  4  47.866 -87.7   1.17  0.196
## 8   4.964 1.014 -0.05177 0.04341  5  48.711 -87.4   1.48  0.168
## 1   5.492                         2 -13.790  31.6 120.48  0.000
## 5   5.453                0.07971  3 -13.658  33.3 122.22  0.000
## 3   5.515       -0.05144          3 -13.720  33.4 122.34  0.000
## 7   5.476       -0.05377 0.08167  4 -13.581  35.2 124.06  0.000
## Models ranked by AIC(x) 
## 
## [[172]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2       x3 df logLik   AIC delta weight
## 4   5.036 0.9219 -0.109900           4 40.524 -73.0  0.00  0.457
## 8   5.062 0.9217 -0.107400 -0.05798  5 41.022 -72.0  1.00  0.277
## 2   4.989 0.9087                     3 38.489 -71.0  2.07  0.162
## 6   5.020 0.9089           -0.06348  4 39.041 -70.1  2.97  0.104
## 1   5.439                            2 -5.991  16.0 89.03  0.000
## 5   5.469                  -0.06114  3 -5.905  17.8 90.86  0.000
## 3   5.444        -0.009636           3 -5.989  18.0 91.02  0.000
## 7   5.472        -0.007045 -0.06077  4 -5.904  19.8 92.86  0.000
## Models ranked by AIC(x) 
## 
## [[173]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   AIC delta weight
## 4   4.996 1.0050 -0.09780            4 40.906 -73.8  0.00  0.434
## 2   4.953 0.9987                     3 39.513 -73.0  0.79  0.293
## 8   4.996 1.0040 -0.09822  0.002068  5 40.906 -71.8  2.00  0.160
## 6   4.959 1.0070          -0.017590  4 39.557 -71.1  2.70  0.113
## 5   5.272                  0.310100  3 -1.559   9.1 82.93  0.000
## 7   5.315        -0.11720  0.332600  4 -1.195  10.4 84.20  0.000
## 1   5.445                            2 -4.510  13.0 86.83  0.000
## 3   5.465        -0.04147            3 -4.468  14.9 88.75  0.000
## Models ranked by AIC(x) 
## 
## [[174]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   AIC  delta weight
## 4   4.985 1.041 -0.09114          4  46.299 -84.6   0.00  0.363
## 8   4.961 1.031 -0.08389 0.05496  5  46.999 -84.0   0.60  0.269
## 2   4.929 1.073                   3  44.652 -83.3   1.29  0.190
## 6   4.907 1.058          0.06474  4  45.580 -83.2   1.44  0.177
## 7   5.556       -0.38650 0.20390  4  -8.357  24.7 109.31  0.000
## 3   5.667       -0.42490          3  -9.429  24.9 109.46  0.000
## 5   5.355                0.27310  3 -11.837  29.7 114.27  0.000
## 1   5.481                         2 -13.547  31.1 115.69  0.000
## Models ranked by AIC(x) 
## 
## [[175]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   AIC delta weight
## 2   4.994 0.9225                   3 42.601 -79.2  0.00  0.404
## 4   5.019 0.9297 -0.05177          4 43.276 -78.6  0.65  0.292
## 6   4.979 0.9190          0.03102  4 42.791 -77.6  1.62  0.180
## 8   5.005 0.9265 -0.04983 0.02639  5 43.415 -76.8  2.37  0.124
## 1   5.437                          2 -5.502  15.0 94.21  0.000
## 5   5.373                 0.12020  3 -5.080  16.2 95.36  0.000
## 3   5.417         0.03704          3 -5.451  16.9 96.11  0.000
## 7   5.347         0.04469 0.12370  4 -5.006  18.0 97.21  0.000
## Models ranked by AIC(x) 
## 
## [[176]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 8   4.894 1.122 -0.08726  0.06340  5  51.133 -92.3   0.00  0.350
## 4   4.934 1.111 -0.09134           4  50.087 -92.2   0.09  0.334
## 6   4.859 1.109           0.06837  4  49.406 -90.8   1.45  0.169
## 2   4.901 1.096                    3  48.269 -90.5   1.73  0.147
## 1   5.494                          2 -15.469  34.9 127.20  0.000
## 5   5.563                -0.13350  3 -15.124  36.2 128.51  0.000
## 3   5.443        0.11320           3 -15.251  36.5 128.77  0.000
## 7   5.513        0.10120 -0.12490  4 -14.949  37.9 130.16  0.000
## Models ranked by AIC(x) 
## 
## [[177]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   AIC delta weight
## 4   5.018 0.9781 -0.09367          4 44.904 -81.8  0.00  0.351
## 8   4.994 0.9708 -0.09973 0.06266  5 45.691 -81.4  0.43  0.284
## 2   4.982 0.9721                   3 43.447 -80.9  0.91  0.222
## 6   4.959 0.9655          0.05437  4 44.008 -80.0  1.79  0.143
## 1   5.492                          2 -4.173  12.3 94.15  0.000
## 5   5.419                 0.14880  3 -3.539  13.1 94.89  0.000
## 3   5.506        -0.03579          3 -4.142  14.3 96.09  0.000
## 7   5.439        -0.05169 0.15340  4 -3.474  14.9 96.76  0.000
## Models ranked by AIC(x) 
## 
## [[178]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1      x2        x3 df logLik   AIC  delta weight
## 4   5.007 0.9708 -0.1035            4 47.390 -86.8   0.00  0.463
## 2   4.934 1.0110                    3 45.817 -85.6   1.15  0.261
## 8   5.019 0.9678 -0.1084 -0.017520  5 47.450 -84.9   1.88  0.181
## 6   4.932 1.0120          0.005119  4 45.822 -83.6   3.14  0.096
## 3   5.744        -0.5276            3 -2.595  11.2  97.97  0.000
## 7   5.839        -0.5611 -0.162400  4 -1.875  11.8  98.53  0.000
## 1   5.488                           2 -8.687  21.4 108.15  0.000
## 5   5.517                -0.059880  3 -8.608  23.2 110.00  0.000
## Models ranked by AIC(x) 
## 
## [[179]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 2   4.937 1.046                    3  51.625 -97.3   0.00  0.458
## 6   4.953 1.050          -0.04017  4  52.079 -96.2   1.09  0.266
## 4   4.943 1.046 -0.01015           4  51.657 -95.3   1.94  0.174
## 8   4.959 1.049 -0.01146 -0.04058  5  52.121 -94.2   3.01  0.102
## 1   5.446                          2 -16.955  37.9 135.16  0.000
## 3   5.490       -0.08682           3 -16.803  39.6 136.86  0.000
## 5   5.413                 0.07667  3 -16.848  39.7 136.95  0.000
## 7   5.457       -0.08397  0.07302  4 -16.705  41.4 138.66  0.000
## Models ranked by AIC(x) 
## 
## [[180]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   AIC  delta weight
## 4   5.012 1.026 -0.09968            4  41.274 -74.5   0.00  0.429
## 2   4.956 1.042                     3  39.914 -73.8   0.72  0.299
## 8   5.017 1.025 -0.10130 -0.008181  5  41.285 -72.6   1.98  0.160
## 6   4.952 1.042           0.008079  4  39.924 -71.8   2.70  0.111
## 3   5.608       -0.28740            3 -10.022  26.0 100.59  0.000
## 1   5.470                           2 -11.514  27.0 101.58  0.000
## 7   5.665       -0.30550 -0.103800  4  -9.792  27.6 102.13  0.000
## 5   5.497                -0.058050  3 -11.445  28.9 103.44  0.000
## Models ranked by AIC(x) 
## 
## [[181]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 4   5.005 1.010 -0.08673           4  39.793 -71.6   0.00  0.361
## 2   4.949 1.031                    3  38.780 -71.6   0.03  0.356
## 8   5.015 1.009 -0.08741 -0.02140  5  39.871 -69.7   1.85  0.144
## 6   4.958 1.030          -0.01913  4  38.839 -69.7   1.91  0.139
## 3   5.683       -0.36960           3 -10.310  26.6  98.21  0.000
## 7   5.710       -0.37080 -0.05676  4 -10.237  28.5 100.06  0.000
## 1   5.492                          2 -12.891  29.8 101.37  0.000
## 5   5.516                -0.04981  3 -12.840  31.7 103.27  0.000
## Models ranked by AIC(x) 
## 
## [[182]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   AIC  delta weight
## 4   4.988 1.058 -0.10280          4  50.125 -92.3   0.00  0.478
## 8   4.959 1.059 -0.09665 0.04998  5  50.661 -91.3   0.93  0.300
## 2   4.930 1.065                   3  47.763 -89.5   2.73  0.122
## 6   4.898 1.066          0.06296  4  48.552 -89.1   3.15  0.099
## 1   5.424                         2 -10.410  24.8 117.07  0.000
## 3   5.516       -0.17790          3  -9.740  25.5 117.73  0.000
## 5   5.398                0.05123  3 -10.360  26.7 118.97  0.000
## 7   5.501       -0.17440 0.02794  4  -9.725  27.4 119.70  0.000
## Models ranked by AIC(x) 
## 
## [[183]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   AIC  delta weight
## 2   4.957 0.9935                     3 46.700 -87.4   0.00  0.496
## 4   4.973 0.9929 -0.03294            4 46.937 -85.9   1.53  0.231
## 6   4.952 0.9939           0.009706  4 46.718 -85.4   1.96  0.186
## 8   4.968 0.9933 -0.03267  0.008582  5 46.952 -83.9   3.50  0.086
## 1   5.479                            2 -9.140  22.3 109.68  0.000
## 3   5.503        -0.04917            3 -9.084  24.2 111.57  0.000
## 5   5.500                 -0.044450  3 -9.099  24.2 111.60  0.000
## 7   5.526        -0.05056 -0.046140  4 -9.039  26.1 113.48  0.000
## Models ranked by AIC(x) 
## 
## [[184]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 2   4.892 1.139                    3  45.575 -85.2   0.00  0.481
## 4   4.913 1.131 -0.03496           4  45.796 -83.6   1.56  0.221
## 6   4.880 1.141           0.02192  4  45.716 -83.4   1.72  0.204
## 8   4.902 1.132 -0.03558  0.02253  5  45.946 -81.9   3.26  0.094
## 3   5.567       -0.32320           3 -14.697  35.4 120.54  0.000
## 1   5.401                          2 -16.430  36.9 122.01  0.000
## 7   5.573       -0.32270 -0.01293  4 -14.693  37.4 122.54  0.000
## 5   5.411                -0.02126  3 -16.419  38.8 123.99  0.000
## Models ranked by AIC(x) 
## 
## [[185]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   AIC  delta weight
## 4   4.990 1.042 -0.08677            4  37.943 -67.9   0.00  0.366
## 2   4.941 1.065                     3  36.925 -67.8   0.04  0.360
## 6   4.948 1.067          -0.016780  4  36.974 -65.9   1.94  0.139
## 8   4.991 1.043 -0.08591 -0.004575  5  37.947 -65.9   1.99  0.135
## 3   5.646       -0.37230            3 -11.347  28.7  96.58  0.000
## 7   5.588       -0.39180  0.141600  4 -10.836  29.7  97.56  0.000
## 1   5.489                           2 -14.067  32.1 100.02  0.000
## 5   5.443                 0.097920  3 -13.846  33.7 101.58  0.000
## Models ranked by AIC(x) 
## 
## [[186]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df  logLik   AIC  delta weight
## 4   5.002 0.9934 -0.08173            4  40.956 -73.9   0.00  0.419
## 2   4.958 0.9948                     3  39.646 -73.3   0.62  0.307
## 8   5.004 0.9929 -0.08099 -0.005365  5  40.961 -71.9   1.99  0.155
## 6   4.969 0.9929          -0.019620  4  39.704 -71.4   2.50  0.120
## 1   5.500                            2 -15.460  34.9 108.83  0.000
## 5   5.571                 -0.149200  3 -15.085  36.2 110.08  0.000
## 3   5.552        -0.09966            3 -15.250  36.5 110.41  0.000
## 7   5.607        -0.08082 -0.135000  4 -14.948  37.9 111.81  0.000
## Models ranked by AIC(x) 
## 
## [[187]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   AIC  delta weight
## 4   4.955 1.068 -0.08729            4  53.495 -99.0   0.00  0.519
## 2   4.916 1.057                     3  51.600 -97.2   1.79  0.212
## 8   4.956 1.068 -0.08728 -0.001516  5  53.495 -97.0   2.00  0.191
## 6   4.917 1.057          -0.002054  4  51.602 -95.2   3.79  0.078
## 1   5.446                           2 -13.681  31.4 130.35  0.000
## 3   5.413        0.06566            3 -13.604  33.2 132.20  0.000
## 5   5.473                -0.050610  3 -13.628  33.3 132.25  0.000
## 7   5.439        0.06569 -0.050640  4 -13.551  35.1 134.09  0.000
## Models ranked by AIC(x) 
## 
## [[188]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1      x2       x3 df  logLik   AIC  delta weight
## 2   4.959 0.9654                   3  47.770 -89.5   0.00  0.455
## 4   4.943 0.9561 0.03703           4  48.049 -88.1   1.44  0.221
## 6   4.944 0.9663         0.035110  4  48.031 -88.1   1.48  0.217
## 8   4.927 0.9570 0.03717 0.035250  5  48.314 -86.6   2.91  0.106
## 3   5.208        0.32980           3  -9.773  25.5 115.09  0.000
## 7   5.204        0.32990 0.008457  4  -9.772  27.5 117.08  0.000
## 1   5.393                          2 -12.046  28.1 117.63  0.000
## 5   5.391                0.004571  3 -12.046  30.1 119.63  0.000
## Models ranked by AIC(x) 
## 
## [[189]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik   AIC delta weight
## 2   5.019 0.9101                   3  38.408 -70.8  0.00  0.489
## 6   5.007 0.9060          0.03156  4  38.575 -69.1  1.67  0.213
## 4   5.031 0.9160 -0.03145          4  38.541 -69.1  1.73  0.206
## 8   5.019 0.9122 -0.03571 0.03505  5  38.745 -67.5  3.33  0.093
## 1   5.424                          2 -10.483  25.0 95.78  0.000
## 3   5.335         0.19350          3  -9.727  25.5 96.27  0.000
## 5   5.351                 0.15900  3  -9.869  25.7 96.55  0.000
## 7   5.281         0.17310 0.13780  4  -9.261  26.5 97.34  0.000
## Models ranked by AIC(x) 
## 
## [[190]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   AIC delta weight
## 4   4.984 1.038 -0.10930          4  33.551 -59.1  0.00  0.468
## 2   4.941 1.018                   3  31.898 -57.8  1.31  0.244
## 8   4.970 1.036 -0.10800 0.02355  5  33.631 -57.3  1.84  0.187
## 6   4.925 1.017          0.02940  4  32.015 -56.0  3.07  0.101
## 1   5.436                         2 -12.496  29.0 88.09  0.000
## 5   5.394                0.07459  3 -12.368  30.7 89.84  0.000
## 3   5.414        0.04732          3 -12.444  30.9 89.99  0.000
## 7   5.368        0.05083 0.07694  4 -12.307  32.6 91.72  0.000
## Models ranked by AIC(x) 
## 
## [[191]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2         x3 df  logLik   AIC  delta weight
## 4   5.002 1.028 -0.08230             4  52.546 -97.1   0.00  0.508
## 2   4.958 1.045                      3  50.683 -95.4   1.73  0.214
## 8   5.012 1.028 -0.08501 -0.0155300  5  52.611 -95.2   1.87  0.199
## 6   4.958 1.045          -0.0001768  4  50.683 -93.4   3.73  0.079
## 3   5.518       -0.26890             3  -8.234  22.5 119.56  0.000
## 1   5.396                            2 -10.054  24.1 121.20  0.000
## 7   5.530       -0.27260 -0.0213600  4  -8.223  24.4 121.54  0.000
## 5   5.381                 0.0294500  3 -10.034  26.1 123.16  0.000
## Models ranked by AIC(x) 
## 
## [[192]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   AIC  delta weight
## 2   4.983 0.9449                     3 50.689 -95.4   0.00  0.439
## 4   5.011 0.9330 -0.04417            4 51.283 -94.6   0.81  0.292
## 6   4.983 0.9449          6.749e-05  4 50.689 -93.4   2.00  0.161
## 8   5.011 0.9329 -0.04420 1.233e-03  5 51.284 -92.6   2.81  0.108
## 3   5.572        -0.21500            3 -1.606   9.2 104.59  0.000
## 7   5.524        -0.21480 9.860e-02  4 -1.323  10.6 106.02  0.000
## 1   5.465                            2 -3.350  10.7 106.08  0.000
## 5   5.417                 9.906e-02  3 -3.084  12.2 107.55  0.000
## Models ranked by AIC(x) 
## 
## [[193]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   AIC  delta weight
## 4   4.980 1.022 -0.07370            4  43.348 -78.7   0.00  0.395
## 2   4.933 1.042                     3  42.186 -78.4   0.32  0.336
## 8   4.982 1.022 -0.07391 -0.002580  5  43.349 -76.7   2.00  0.145
## 6   4.931 1.043           0.003715  4  42.189 -76.4   2.32  0.124
## 3   5.627       -0.30730            3 -10.876  27.8 106.45  0.000
## 7   5.696       -0.31340 -0.126600  4 -10.496  29.0 107.69  0.000
## 1   5.472                           2 -13.274  30.5 109.24  0.000
## 5   5.529                -0.109400  3 -13.016  32.0 110.73  0.000
## Models ranked by AIC(x) 
## 
## [[194]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df logLik   AIC  delta weight
## 4   4.953 1.086 -0.06664          4 53.016 -98.0   0.00  0.380
## 8   4.936 1.082 -0.06494 0.03997  5 53.541 -97.1   0.95  0.236
## 2   4.925 1.081                   3 51.524 -97.0   0.98  0.232
## 6   4.907 1.078          0.04290  4 52.096 -96.2   1.84  0.151
## 1   5.481                         2 -7.454  18.9 116.94  0.000
## 5   5.436                0.10070  3 -7.157  20.3 118.35  0.000
## 3   5.491       -0.02131          3 -7.440  20.9 118.91  0.000
## 7   5.444       -0.01741 0.09999  4 -7.147  22.3 120.33  0.000
## Models ranked by AIC(x) 
## 
## [[195]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2        x3 df  logLik   AIC  delta weight
## 2   4.972 0.9803                      3  39.406 -72.8   0.00  0.446
## 4   4.999 0.9836 -0.062000            4  39.943 -71.9   0.93  0.280
## 6   4.980 0.9780           -0.015220  4  39.442 -70.9   1.93  0.170
## 8   5.003 0.9823 -0.060920 -0.007597  5  39.952 -69.9   2.91  0.104
## 1   5.445                             2 -13.350  30.7 103.51  0.000
## 5   5.539                  -0.190300  3 -12.626  31.3 104.06  0.000
## 3   5.442         0.007685            3 -13.349  32.7 105.51  0.000
## 7   5.525         0.033230 -0.194000  4 -12.607  33.2 106.03  0.000
## Models ranked by AIC(x) 
## 
## [[196]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 2   4.954 1.049                    3  45.972 -85.9   0.00  0.443
## 4   4.979 1.043 -0.05194           4  46.446 -84.9   1.05  0.262
## 6   4.969 1.049          -0.02531  4  46.096 -84.2   1.75  0.185
## 8   4.995 1.043 -0.05254 -0.02638  5  46.583 -83.2   2.78  0.110
## 1   5.518                          2 -15.319  34.6 120.58  0.000
## 3   5.606       -0.20650           3 -14.661  35.3 121.27  0.000
## 5   5.541                -0.04037  3 -15.292  36.6 122.53  0.000
## 7   5.631       -0.20740 -0.04430  4 -14.627  37.3 123.20  0.000
## Models ranked by AIC(x) 
## 
## [[197]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df logLik   AIC delta weight
## 4   4.989 1.041 -0.12050          4 38.162 -68.3  0.00  0.488
## 8   4.973 1.037 -0.11560 0.03607  5 38.369 -66.7  1.59  0.221
## 2   4.936 1.038                   3 36.220 -66.4  1.88  0.190
## 6   4.916 1.032          0.04970  4 36.590 -65.2  3.14  0.101
## 1   5.488                         2 -7.269  18.5 86.86  0.000
## 5   5.428                0.13350  3 -6.795  19.6 87.91  0.000
## 3   5.532       -0.09560          3 -7.062  20.1 88.45  0.000
## 7   5.468       -0.07898 0.12440  4 -6.653  21.3 89.63  0.000
## Models ranked by AIC(x) 
## 
## [[198]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   AIC  delta weight
## 2   4.973 0.9659                    3  41.036 -76.1   0.00  0.495
## 4   4.995 0.9583 -0.03402           4  41.236 -74.5   1.60  0.222
## 6   4.960 0.9706           0.02062  4  41.115 -74.2   1.84  0.197
## 8   4.983 0.9626 -0.03172  0.01652  5  41.286 -72.6   3.50  0.086
## 7   5.705        -0.29360 -0.23110  4 -10.066  28.1 104.20  0.000
## 3   5.583        -0.27640           3 -11.379  28.8 104.83  0.000
## 5   5.538                 -0.21080  3 -12.009  30.0 106.09  0.000
## 1   5.435                           2 -13.031  30.1 106.14  0.000
## Models ranked by AIC(x) 
## 
## [[199]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   AIC  delta weight
## 2   5.003 0.9482                    3  39.414 -72.8   0.00  0.273
## 4   5.032 0.9607 -0.07433           4  40.376 -72.8   0.08  0.263
## 6   4.966 0.9549           0.06558  4  40.253 -72.5   0.32  0.232
## 8   4.994 0.9675 -0.07446  0.06571  5  41.252 -72.5   0.32  0.232
## 1   5.524                           2 -13.559  31.1 103.95  0.000
## 3   5.470         0.11250           3 -13.289  32.6 105.41  0.000
## 5   5.543                 -0.03665  3 -13.528  33.1 105.88  0.000
## 7   5.489         0.11190 -0.03482  4 -13.260  34.5 107.35  0.000
## Models ranked by AIC(x) 
## 
## [[200]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   AIC  delta weight
## 2   4.968 0.9274                   3 50.137 -94.3   0.00  0.507
## 4   4.981 0.9293 -0.02491          4 50.274 -92.5   1.73  0.214
## 6   4.963 0.9248          0.01311  4 50.183 -92.4   1.91  0.196
## 8   4.975 0.9266 -0.02543 0.01389  5 50.326 -90.7   3.62  0.083
## 1   5.377                          2 -5.615  15.2 109.50  0.000
## 5   5.288                 0.17050  3 -4.722  15.4 109.72  0.000
## 3   5.347         0.05260          3 -5.549  17.1 111.37  0.000
## 7   5.265         0.04347 0.16870  4 -4.675  17.4 111.62  0.000
## Models ranked by AIC(x) 
## 
## [[201]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   AIC  delta weight
## 4   4.992 0.9989 -0.06948            4 47.260 -86.5   0.00  0.374
## 2   4.946 1.0150                     3 46.210 -86.4   0.10  0.356
## 8   4.995 0.9986 -0.06953 -0.006236  5 47.268 -84.5   1.99  0.139
## 6   4.949 1.0150          -0.005674  4 46.216 -84.4   2.09  0.132
## 3   5.632        -0.26590            3 -6.214  18.4 104.95  0.000
## 1   5.490                            2 -8.080  20.2 106.68  0.000
## 7   5.662        -0.26550 -0.064160  4 -6.120  20.2 106.76  0.000
## 5   5.521                 -0.065670  3 -7.989  22.0 108.50  0.000
## Models ranked by AIC(x) 
## 
## [[202]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df logLik   AIC  delta weight
## 4   4.988 1.017 -0.09977           4 41.843 -75.7   0.00  0.484
## 2   4.948 1.001                    3 40.031 -74.1   1.62  0.215
## 8   4.995 1.019 -0.09554 -0.02213  5 41.933 -73.9   1.82  0.195
## 6   4.964 1.006          -0.04016  4 40.319 -72.6   3.05  0.106
## 1   5.482                          2 -9.461  22.9  98.61  0.000
## 5   5.447                 0.07438  3 -9.323  24.6 100.33  0.000
## 3   5.463        0.03947           3 -9.422  24.8 100.53  0.000
## 7   5.437        0.02528  0.06923  4 -9.307  26.6 102.30  0.000
## Models ranked by AIC(x) 
## 
## [[203]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   AIC  delta weight
## 2   4.930 1.079                   3  45.266 -84.5   0.00  0.374
## 4   4.960 1.079 -0.06478          4  46.169 -84.3   0.19  0.339
## 6   4.919 1.079          0.02025  4  45.344 -82.7   1.84  0.149
## 8   4.949 1.079 -0.06555 0.02273  5  46.271 -82.5   1.99  0.138
## 1   5.471                         2 -17.783  39.6 124.10  0.000
## 3   5.501       -0.06416          3 -17.713  41.4 125.96  0.000
## 5   5.449                0.04222  3 -17.756  41.5 126.04  0.000
## 7   5.479       -0.06568 0.04470  4 -17.683  43.4 127.90  0.000
## Models ranked by AIC(x) 
## 
## [[204]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 8   5.018 1.024 -0.09177 -0.06909  5  53.756 -97.5   0.00  0.340
## 4   4.973 1.023 -0.07476           4  52.748 -97.5   0.02  0.337
## 2   4.943 1.008                    3  51.277 -96.6   0.96  0.211
## 6   4.966 1.006          -0.04168  4  51.646 -95.3   2.22  0.112
## 1   5.501                          2 -18.343  40.7 138.20  0.000
## 3   5.387        0.21710           3 -17.540  41.1 138.59  0.000
## 5   5.559                -0.10850  3 -18.189  42.4 139.89  0.000
## 7   5.416        0.20640 -0.04417  4 -17.515  43.0 140.54  0.000
## Models ranked by AIC(x) 
## 
## [[205]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 2   4.955 1.022                    3  40.454 -74.9   0.00  0.442
## 4   4.985 1.021 -0.05777           4  40.995 -74.0   0.92  0.280
## 6   4.962 1.026          -0.01518  4  40.499 -73.0   1.91  0.170
## 8   4.991 1.024 -0.05787 -0.01551  5  41.043 -72.1   2.82  0.108
## 1   5.451                          2 -13.507  31.0 105.92  0.000
## 5   5.350                 0.19440  3 -12.606  31.2 106.12  0.000
## 3   5.497       -0.09110           3 -13.352  32.7 107.61  0.000
## 7   5.395       -0.08832  0.19330  4 -12.455  32.9 107.82  0.000
## Models ranked by AIC(x) 
## 
## [[206]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   AIC  delta weight
## 2   4.916 1.061                   3  42.022 -78.0   0.00  0.367
## 4   4.955 1.055 -0.07207          4  42.958 -77.9   0.13  0.344
## 6   4.901 1.056          0.03211  4  42.174 -76.3   1.70  0.157
## 8   4.945 1.053 -0.06901 0.01790  5  43.006 -76.0   2.03  0.133
## 1   5.486                         2 -14.839  33.7 111.72  0.000
## 5   5.352                0.24380  3 -13.893  33.8 111.83  0.000
## 3   5.567       -0.16440          3 -14.339  34.7 112.72  0.000
## 7   5.428       -0.12450 0.21700  4 -13.608  35.2 113.26  0.000
## Models ranked by AIC(x) 
## 
## [[207]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 4   4.992 1.022 -0.06533           4  44.583 -81.2   0.00  0.341
## 2   4.957 1.033                    3  43.427 -80.9   0.31  0.292
## 8   5.048 1.009 -0.09005 -0.07391  5  45.280 -80.6   0.61  0.252
## 6   4.969 1.030          -0.02067  4  43.491 -79.0   2.18  0.115
## 7   5.765       -0.28710 -0.33700  4  -8.427  24.9 106.02  0.000
## 3   5.544       -0.18130           3 -10.164  26.3 107.49  0.000
## 1   5.460                          2 -11.182  26.4 107.53  0.000
## 5   5.551                -0.17770  3 -10.634  27.3 108.43  0.000
## Models ranked by AIC(x) 
## 
## [[208]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1      x2       x3 df  logLik   AIC  delta weight
## 4   5.010 0.9972 -0.1114           4  46.569 -85.1   0.00  0.543
## 8   5.018 0.9992 -0.1042 -0.02754  5  46.714 -83.4   1.71  0.231
## 2   4.970 0.9733                   3  44.194 -82.4   2.75  0.137
## 6   4.992 0.9805         -0.05448  4  44.751 -81.5   3.64  0.088
## 1   5.460                          2 -12.904  29.8 114.95  0.000
## 3   5.392         0.1454           3 -12.485  31.0 116.11  0.000
## 5   5.411                 0.10350  3 -12.697  31.4 116.53  0.000
## 7   5.369         0.1264  0.06710  4 -12.403  32.8 117.95  0.000
## Models ranked by AIC(x) 
## 
## [[209]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   AIC  delta weight
## 4   5.024 0.9653 -0.07398            4 49.981 -92.0   0.00  0.414
## 2   4.989 0.9570                     3 48.711 -91.4   0.54  0.316
## 8   5.023 0.9652 -0.07394 0.0007785  5 49.981 -90.0   2.00  0.152
## 6   4.987 0.9565          0.0048800  4 48.716 -89.4   2.53  0.117
## 1   5.435                            2 -6.400  16.8 108.76  0.000
## 5   5.379                 0.1229000  3 -6.086  18.2 110.13  0.000
## 3   5.419         0.03050            3 -6.377  18.8 110.72  0.000
## 7   5.360         0.03466 0.1243000  4 -6.055  20.1 112.07  0.000
## Models ranked by AIC(x) 
## 
## [[210]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2       x3 df  logLik   AIC  delta weight
## 6   4.930 0.9863            0.06502  4  49.656 -91.3   0.00  0.386
## 2   4.967 0.9797                     3  48.477 -91.0   0.36  0.323
## 8   4.942 0.9855 -0.027380  0.07114  5  49.836 -89.7   1.64  0.170
## 4   4.973 0.9793 -0.009509           4  48.499 -89.0   2.31  0.121
## 1   5.439                            2 -12.388  28.8 120.09  0.000
## 3   5.473        -0.063830           3 -12.302  30.6 121.91  0.000
## 5   5.456                  -0.03287  3 -12.362  30.7 122.04  0.000
## 7   5.480        -0.058820 -0.01957  4 -12.293  32.6 123.90  0.000
## Models ranked by AIC(x) 
## 
## [[211]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC  delta weight
## 8   5.062 0.9404 -0.07384 -0.07711  5 51.333 -92.7   0.00  0.367
## 6   5.025 0.9380          -0.08169  4 49.979 -92.0   0.71  0.258
## 4   5.015 0.9504 -0.07863           4 49.862 -91.7   0.94  0.229
## 2   4.972 0.9484                    3 48.412 -90.8   1.84  0.146
## 5   5.553                 -0.20670  3 -7.463  20.9 113.59  0.000
## 1   5.431                           2 -8.500  21.0 113.66  0.000
## 7   5.574        -0.04123 -0.20430  4 -7.422  22.8 115.51  0.000
## 3   5.460        -0.05320           3 -8.433  22.9 115.53  0.000
## Models ranked by AIC(x) 
## 
## [[212]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC  delta weight
## 6   5.016 0.9179          -0.07985  4 49.407 -90.8   0.00  0.375
## 2   4.979 0.9161                    3 48.124 -90.2   0.57  0.283
## 8   5.028 0.9332 -0.03854 -0.07984  5 49.760 -89.5   1.29  0.197
## 4   4.991 0.9315 -0.03855           4 48.460 -88.9   1.89  0.146
## 3   5.305         0.26730           3 -1.971   9.9 100.76  0.000
## 7   5.334         0.26780 -0.06098  4 -1.873  11.7 102.56  0.000
## 1   5.446                           2 -4.343  12.7 103.50  0.000
## 5   5.473                 -0.05843  3 -4.260  14.5 105.33  0.000
## Models ranked by AIC(x) 
## 
## [[213]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 4   4.950 1.077 -0.08364           4  38.223 -68.4   0.00  0.293
## 8   4.904 1.093 -0.07980  0.07146  5  39.092 -68.2   0.26  0.257
## 2   4.915 1.073                    3  36.986 -68.0   0.47  0.231
## 6   4.867 1.092           0.07610  4  37.928 -67.9   0.59  0.218
## 1   5.436                          2 -14.592  33.2 101.63  0.000
## 5   5.514                -0.15370  3 -14.083  34.2 102.61  0.000
## 3   5.457       -0.04935           3 -14.538  35.1 103.52  0.000
## 7   5.542       -0.05900 -0.15740  4 -14.005  36.0 104.46  0.000
## Models ranked by AIC(x) 
## 
## [[214]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   AIC  delta weight
## 2   4.934 1.030                   3  42.955 -79.9   0.00  0.477
## 4   4.953 1.025 -0.03224          4  43.160 -78.3   1.59  0.215
## 6   4.919 1.028          0.03178  4  43.142 -78.3   1.63  0.211
## 8   4.939 1.022 -0.03310 0.03270  5  43.360 -76.7   3.19  0.097
## 1   5.462                         2 -12.587  29.2 109.08  0.000
## 3   5.562       -0.19430          3 -11.746  29.5 109.40  0.000
## 5   5.412                0.10130  3 -12.380  30.8 110.67  0.000
## 7   5.511       -0.19590 0.10450  4 -11.518  31.0 110.94  0.000
## Models ranked by AIC(x) 
## 
## [[215]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   AIC  delta weight
## 2   5.004 0.9224                    3  47.067 -88.1   0.00  0.344
## 6   4.965 0.9305           0.07146  4  47.947 -87.9   0.24  0.305
## 4   5.029 0.9212 -0.05028           4  47.534 -87.1   1.07  0.202
## 8   4.989 0.9288 -0.03902  0.06405  5  48.228 -86.5   1.68  0.149
## 1   5.543                           2 -10.825  25.6 113.78  0.000
## 5   5.587                 -0.09353  3 -10.675  27.3 115.48  0.000
## 3   5.582        -0.08159           3 -10.704  27.4 115.54  0.000
## 7   5.644        -0.10080 -0.11190  4 -10.495  29.0 117.12  0.000
## Models ranked by AIC(x) 
## 
## [[216]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   AIC  delta weight
## 4   4.952 1.065 -0.08659            4  45.543 -83.1   0.00  0.474
## 2   4.897 1.076                     3  43.922 -81.8   1.24  0.254
## 8   4.957 1.063 -0.08675 -0.008932  5  45.562 -81.1   1.96  0.178
## 6   4.902 1.075          -0.007524  4  43.934 -79.9   3.22  0.095
## 7   5.647       -0.23100 -0.224400  4 -15.394  38.8 121.87  0.000
## 5   5.516                -0.226900  3 -16.432  38.9 121.95  0.000
## 3   5.537       -0.23360            3 -16.466  38.9 122.02  0.000
## 1   5.404                           2 -17.484  39.0 122.05  0.000
## Models ranked by AIC(x) 
## 
## [[217]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df logLik    AIC  delta weight
## 8   4.947 1.047 -0.07753 0.06467  5 57.114 -104.2   0.00  0.406
## 4   4.969 1.057 -0.06928          4 55.817 -103.6   0.59  0.301
## 2   4.945 1.048                   3 54.175 -102.3   1.88  0.159
## 6   4.925 1.038          0.05331  4 55.008 -102.0   2.21  0.134
## 5   5.343                0.22650  3 -8.150   22.3 126.53  0.000
## 1   5.451                         2 -9.381   22.8 126.99  0.000
## 7   5.339        0.01086 0.22470  4 -8.147   24.3 128.52  0.000
## 3   5.433        0.04359          3 -9.331   24.7 128.89  0.000
## Models ranked by AIC(x) 
## 
## [[218]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik    AIC  delta weight
## 4   5.035 0.9506 -0.07412           4 58.376 -108.8   0.00  0.370
## 8   5.060 0.9467 -0.06778 -0.04833  5 59.336 -108.7   0.08  0.356
## 6   5.028 0.9515          -0.05712  4 57.501 -107.0   1.75  0.155
## 2   4.994 0.9567                    3 56.241 -106.5   2.27  0.119
## 1   5.504                           2 -8.459   20.9 129.67  0.000
## 3   5.578        -0.14450           3 -7.863   21.7 130.48  0.000
## 5   5.576                 -0.13460  3 -7.936   21.9 130.62  0.000
## 7   5.632        -0.12840 -0.11720  4 -7.466   22.9 131.68  0.000
## Models ranked by AIC(x) 
## 
## [[219]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   AIC delta weight
## 4   5.097 0.8454 -0.08882            4 41.090 -74.2  0.00  0.487
## 2   5.052 0.8560                     3 39.378 -72.8  1.42  0.239
## 8   5.104 0.8457 -0.09004 -0.013690  5 41.123 -72.2  1.93  0.185
## 6   5.054 0.8561          -0.003663  4 39.381 -70.8  3.42  0.088
## 3   5.570        -0.17190            3 -4.943  15.9 90.07  0.000
## 1   5.493                            2 -5.986  16.0 90.15  0.000
## 7   5.566        -0.17130  0.006106  4 -4.942  17.9 92.06  0.000
## 5   5.481                  0.025860  3 -5.968  17.9 92.12  0.000
## Models ranked by AIC(x) 
## 
## [[220]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik   AIC  delta weight
## 2   4.953 0.9817                   3  44.424 -82.8   0.00  0.476
## 4   4.969 0.9820 -0.03198          4  44.653 -81.3   1.54  0.220
## 6   4.939 0.9809          0.02422  4  44.571 -81.1   1.70  0.203
## 8   4.955 0.9811 -0.03654 0.02929  5  44.867 -79.7   3.11  0.100
## 1   5.525                          2 -12.255  28.5 111.36  0.000
## 5   5.496                 0.05112  3 -12.187  30.4 113.22  0.000
## 3   5.537        -0.02270          3 -12.244  30.5 113.33  0.000
## 7   5.509        -0.03136 0.05547  4 -12.165  32.3 115.18  0.000
## Models ranked by AIC(x) 
## 
## [[221]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   AIC  delta weight
## 4   5.011 1.038 -0.09987          4  48.360 -88.7   0.00  0.520
## 8   4.997 1.036 -0.09599 0.02606  5  48.499 -87.0   1.72  0.220
## 2   4.959 1.043                   3  46.257 -86.5   2.21  0.172
## 6   4.939 1.038          0.04112  4  46.584 -85.2   3.55  0.088
## 1   5.515                         2 -15.876  35.8 124.47  0.000
## 5   5.412                0.19330  3 -15.260  36.5 125.24  0.000
## 3   5.592       -0.15630          3 -15.460  36.9 125.64  0.000
## 7   5.487       -0.12960 0.17250  4 -14.975  38.0 126.67  0.000
## Models ranked by AIC(x) 
## 
## [[222]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 4   4.934 1.074 -0.07351           4  50.116 -92.2   0.00  0.405
## 2   4.894 1.089                    3  48.855 -91.7   0.52  0.312
## 8   4.940 1.079 -0.07362 -0.01933  5  50.186 -90.4   1.86  0.160
## 6   4.900 1.094          -0.01881  4  48.918 -89.8   2.40  0.122
## 7   5.381       -0.32500  0.39690  4 -15.306  38.6 130.84  0.000
## 5   5.223                 0.42620  3 -17.172  40.3 132.58  0.000
## 3   5.573       -0.35460           3 -17.588  41.2 133.41  0.000
## 1   5.415                          2 -19.622  43.2 135.48  0.000
## Models ranked by AIC(x) 
## 
## [[223]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df logLik   AIC  delta weight
## 2   4.933 1.030                    3 50.820 -95.6   0.00  0.481
## 4   4.943 1.037 -0.02925           4 51.015 -94.0   1.61  0.215
## 6   4.946 1.031          -0.02531  4 51.011 -94.0   1.62  0.214
## 8   4.953 1.037 -0.02508 -0.02160  5 51.151 -92.3   3.34  0.091
## 3   5.375        0.23400           3 -7.915  21.8 117.47  0.000
## 1   5.486                          2 -9.155  22.3 117.95  0.000
## 7   5.382        0.23690 -0.01481  4 -7.909  23.8 119.46  0.000
## 5   5.474                 0.02311  3 -9.141  24.3 119.92  0.000
## Models ranked by AIC(x) 
## 
## [[224]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2      x3 df logLik   AIC  delta weight
## 4   5.022 0.9525 -0.090200          4 52.659 -97.3   0.00  0.502
## 8   5.006 0.9511 -0.080840 0.02811  5 52.853 -95.7   1.61  0.224
## 2   4.988 0.9432                    3 50.453 -94.9   2.41  0.150
## 6   4.963 0.9424           0.05570  4 51.251 -94.5   2.82  0.123
## 1   5.442                           2 -7.727  19.5 116.77  0.000
## 5   5.411                  0.07014  3 -7.606  21.2 118.53  0.000
## 3   5.439         0.006818          3 -7.726  21.5 118.77  0.000
## 7   5.391         0.033570 0.08155  4 -7.580  23.2 120.48  0.000
## Models ranked by AIC(x) 
## 
## [[225]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   AIC  delta weight
## 4   4.974 1.059 -0.07062          4  49.061 -90.1   0.00  0.266
## 2   4.924 1.084                   3  48.005 -90.0   0.11  0.251
## 6   4.902 1.074          0.06163  4  48.981 -90.0   0.16  0.245
## 8   4.950 1.050 -0.06659 0.05782  5  49.952 -89.9   0.22  0.238
## 3   5.752       -0.51390          3 -13.216  32.4 122.55  0.000
## 7   5.650       -0.48840 0.19740  4 -12.339  32.7 122.80  0.000
## 5   5.370                0.25700  3 -17.019  40.0 130.16  0.000
## 1   5.485                         2 -18.262  40.5 130.65  0.000
## Models ranked by AIC(x) 
## 
## [[226]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2        x3 df  logLik   AIC delta weight
## 2   4.979 0.9250                      3  36.463 -66.9  0.00  0.388
## 4   5.020 0.9310 -0.079770            4  37.338 -66.7  0.25  0.342
## 6   4.986 0.9230           -0.011150  4  36.477 -65.0  1.97  0.145
## 8   5.022 0.9305 -0.079560 -0.002487  5  37.339 -64.7  2.25  0.126
## 5   5.575                  -0.242400  3  -9.489  25.0 91.90  0.000
## 1   5.452                             2 -10.538  25.1 92.00  0.000
## 7   5.565         0.020940 -0.244200  4  -9.480  27.0 93.89  0.000
## 3   5.450         0.003396            3 -10.537  27.1 94.00  0.000
## Models ranked by AIC(x) 
## 
## [[227]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik   AIC  delta weight
## 8   4.985 0.9512 -0.08946 0.07926  5  45.462 -80.9   0.00  0.373
## 4   5.023 0.9595 -0.08909          4  44.239 -80.5   0.44  0.299
## 6   4.945 0.9466          0.07878  4  43.701 -79.4   1.52  0.174
## 2   4.983 0.9549                   3  42.573 -79.1   1.78  0.153
## 1   5.455                          2 -10.661  25.3 106.24  0.000
## 5   5.353                 0.19100  3  -9.868  25.7 106.66  0.000
## 3   5.474        -0.04016          3 -10.622  27.2 108.17  0.000
## 7   5.373        -0.04207 0.19150  4  -9.823  27.6 108.57  0.000
## Models ranked by AIC(x) 
## 
## [[228]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   AIC  delta weight
## 2   4.942 0.9824                    3  38.923 -71.8   0.00  0.289
## 4   4.979 0.9901 -0.07569           4  39.916 -71.8   0.02  0.287
## 8   4.955 0.9946 -0.09503 0.075840  5  40.834 -71.7   0.18  0.264
## 6   4.920 0.9841          0.050380  4  39.337 -70.7   1.17  0.161
## 1   5.418                           2 -12.906  29.8 101.66  0.000
## 3   5.402         0.03002           3 -12.887  31.8 103.62  0.000
## 5   5.412                 0.013870  3 -12.903  31.8 103.65  0.000
## 7   5.400         0.02843 0.006372  4 -12.886  33.8 105.62  0.000
## Models ranked by AIC(x) 
## 
## [[229]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC  delta weight
## 2   4.985 0.9635                    3 42.490 -79.0   0.00  0.382
## 4   5.019 0.9592 -0.05996           4 43.152 -78.3   0.68  0.273
## 6   4.964 0.9663           0.04150  4 42.815 -77.6   1.35  0.195
## 8   4.997 0.9621 -0.06330  0.04596  5 43.559 -77.1   1.86  0.151
## 1   5.466                           2 -7.570  19.1  98.12  0.000
## 3   5.531        -0.12460           3 -7.184  20.4  99.35  0.000
## 5   5.475                 -0.01885  3 -7.561  21.1 100.10  0.000
## 7   5.535        -0.12390 -0.00961  4 -7.182  22.4 101.34  0.000
## Models ranked by AIC(x) 
## 
## [[230]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1      x2      x3 df  logLik   AIC  delta weight
## 8   4.950 1.026 -0.1093 0.08228  5  46.370 -82.7   0.00  0.393
## 4   4.974 1.046 -0.1007          4  45.118 -82.2   0.50  0.306
## 2   4.904 1.069                  3  43.461 -80.9   1.82  0.159
## 6   4.877 1.054         0.07170  4  44.353 -80.7   2.03  0.142
## 7   5.521       -0.3812 0.32460  4  -7.745  23.5 106.23  0.000
## 3   5.670       -0.3675          3 -10.068  26.1 108.87  0.000
## 5   5.309               0.30950  3 -10.704  27.4 110.15  0.000
## 1   5.459                        2 -12.600  29.2 111.94  0.000
## Models ranked by AIC(x) 
## 
## [[231]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2     x3 df  logLik   AIC  delta weight
## 6   4.856 1.073          0.1247  4  36.768 -65.5   0.00  0.352
## 8   4.892 1.092 -0.07559 0.1094  5  37.714 -65.4   0.11  0.334
## 4   4.961 1.097 -0.09337         4  36.134 -64.3   1.27  0.187
## 2   4.928 1.073                  3  34.745 -63.5   2.05  0.127
## 1   5.485                        2 -16.143  36.3 101.82  0.000
## 3   5.411        0.15170         3 -15.644  37.3 102.82  0.000
## 5   5.412                0.1272  3 -15.877  37.8 103.29  0.000
## 7   5.306        0.17660 0.1626  4 -15.213  38.4 103.96  0.000
## Models ranked by AIC(x) 
## 
## [[232]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 4   5.007 1.013 -0.07226           4  41.170 -74.3   0.00  0.328
## 2   4.975 1.006                    3  40.166 -74.3   0.01  0.327
## 8   4.981 1.021 -0.08080  0.04802  5  41.638 -73.3   1.06  0.193
## 6   4.954 1.011           0.03443  4  40.403 -72.8   1.53  0.152
## 1   5.432                          2 -13.158  30.3 104.66  0.000
## 5   5.486                -0.09942  3 -12.919  31.8 106.18  0.000
## 3   5.416        0.03158           3 -13.136  32.3 106.61  0.000
## 7   5.466        0.04876 -0.10680  4 -12.866  33.7 108.07  0.000
## Models ranked by AIC(x) 
## 
## [[233]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC  delta weight
## 2   4.975 0.9568                    3 44.813 -83.6   0.00  0.450
## 4   4.995 0.9655 -0.05354           4 45.322 -82.6   0.98  0.275
## 6   4.972 0.9543          0.009472  4 44.836 -81.7   1.96  0.169
## 8   4.991 0.9620 -0.05533 0.014380  5 45.373 -80.7   2.88  0.106
## 5   5.427                 0.184400  3 -4.571  15.1  98.77  0.000
## 1   5.514                           2 -5.766  15.5  99.16  0.000
## 7   5.396         0.07358 0.176000  4 -4.438  16.9 100.50  0.000
## 3   5.466         0.10250           3 -5.514  17.0 100.66  0.000
## Models ranked by AIC(x) 
## 
## [[234]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   AIC  delta weight
## 2   4.936 0.9888                    3  45.784 -85.6   0.00  0.414
## 4   4.964 1.0020 -0.05951           4  46.488 -85.0   0.59  0.308
## 6   4.947 0.9876          -0.01625  4  45.814 -83.6   1.94  0.157
## 8   4.981 1.0010 -0.06148 -0.02481  5  46.558 -83.1   2.45  0.121
## 1   5.368                           2 -10.404  24.8 110.38  0.000
## 3   5.273         0.17120           3  -9.757  25.5 111.08  0.000
## 5   5.463                 -0.14830  3 -10.141  26.3 111.85  0.000
## 7   5.356         0.16010 -0.12160  4  -9.579  27.2 112.73  0.000
## Models ranked by AIC(x) 
## 
## [[235]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC  delta weight
## 2   4.972 1.0030                    3 44.969 -83.9   0.00  0.417
## 4   4.995 1.0100 -0.05877           4 45.645 -83.3   0.65  0.301
## 6   4.984 0.9983          -0.01850  4 45.037 -82.1   1.86  0.164
## 8   5.005 1.0050 -0.05833 -0.01703  5 45.704 -81.4   2.53  0.118
## 5   5.588                 -0.24550  3 -7.332  20.7 104.60  0.000
## 1   5.471                           2 -8.848  21.7 105.63  0.000
## 7   5.565         0.05150 -0.24540  4 -7.268  22.5 106.47  0.000
## 3   5.448         0.05206           3 -8.786  23.6 107.51  0.000
## Models ranked by AIC(x) 
## 
## [[236]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC delta weight
## 8   5.037 1.039 -0.09661 -0.08085  5  36.984 -64.0  0.00  0.283
## 2   4.955 1.027                    3  34.916 -63.8  0.14  0.265
## 4   4.989 1.039 -0.08126           4  35.906 -63.8  0.16  0.262
## 6   4.988 1.025          -0.06405  4  35.583 -63.2  0.80  0.190
## 1   5.559                          2 -10.367  24.7 88.70  0.000
## 5   5.604                -0.08930  3 -10.157  26.3 90.28  0.000
## 3   5.536        0.04603           3 -10.315  26.6 90.60  0.000
## 7   5.586        0.03005 -0.08397  4 -10.135  28.3 92.24  0.000
## Models ranked by AIC(x) 
## 
## [[237]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   AIC  delta weight
## 2   4.952 1.018                   3  40.076 -74.2   0.00  0.472
## 4   4.971 1.021 -0.04413          4  40.420 -72.8   1.31  0.245
## 6   4.941 1.015          0.02268  4  40.155 -72.3   1.84  0.188
## 8   4.961 1.018 -0.04271 0.01906  5  40.477 -71.0   3.20  0.095
## 1   5.509                         2 -15.347  34.7 108.84  0.000
## 5   5.405                0.18450  3 -14.754  35.5 109.66  0.000
## 3   5.495        0.03191          3 -15.327  36.7 110.81  0.000
## 7   5.384        0.04408 0.18770  4 -14.715  37.4 111.58  0.000
## Models ranked by AIC(x) 
## 
## [[238]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   AIC  delta weight
## 4   4.987 0.9878 -0.09020           4  41.367 -74.7   0.00  0.284
## 2   4.927 1.0210                    3  40.252 -74.5   0.23  0.253
## 6   4.968 1.0060          -0.06864  4  41.214 -74.4   0.31  0.244
## 8   5.016 0.9783 -0.07997 -0.05942  5  42.103 -74.2   0.53  0.218
## 3   5.721        -0.53190           3  -9.578  25.2  99.89  0.000
## 7   5.789        -0.48640 -0.18670  4  -8.607  25.2  99.95  0.000
## 5   5.602                 -0.27720  3 -13.275  32.5 107.28  0.000
## 1   5.469                           2 -15.103  34.2 108.94  0.000
## Models ranked by AIC(x) 
## 
## [[239]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2         x3 df  logLik   AIC  delta weight
## 2   4.993 0.9281                      3  42.390 -78.8   0.00  0.452
## 4   5.013 0.9401 -0.05048             4  42.906 -77.8   0.97  0.279
## 6   4.995 0.9287          -0.0042130  4  42.394 -76.8   1.99  0.167
## 8   5.012 0.9400 -0.05058  0.0009597  5  42.906 -75.8   2.97  0.103
## 1   5.452                             2 -12.367  28.7 107.51  0.000
## 3   5.354         0.19120             3 -11.477  29.0 107.73  0.000
## 5   5.376                  0.1357000  3 -11.900  29.8 108.58  0.000
## 7   5.299         0.17520  0.1119000  4 -11.156  30.3 109.09  0.000
## Models ranked by AIC(x) 
## 
## [[240]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik   AIC  delta weight
## 4   4.996 0.9964 -0.07731          4  39.845 -71.7   0.00  0.372
## 2   4.960 0.9972                   3  38.738 -71.5   0.21  0.335
## 8   4.984 0.9936 -0.07808 0.02535  5  39.977 -70.0   1.74  0.156
## 6   4.949 0.9947          0.02314  4  38.843 -69.7   2.00  0.137
## 1   5.516                          2 -11.069  26.1  97.83  0.000
## 5   5.456                 0.11070  3 -10.737  27.5  99.17  0.000
## 3   5.556        -0.08630          3 -10.884  27.8  99.46  0.000
## 7   5.496        -0.08963 0.11310  4 -10.535  29.1 100.76  0.000
## Models ranked by AIC(x) 
## 
## [[241]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   AIC  delta weight
## 2   4.958 0.9756                    3  37.956 -69.9   0.00  0.364
## 4   4.987 0.9811 -0.06620           4  38.739 -69.5   0.43  0.293
## 6   4.986 0.9734          -0.04961  4  38.301 -68.6   1.31  0.189
## 8   5.015 0.9789 -0.06625 -0.04970  5  39.096 -68.2   1.72  0.154
## 1   5.417                           2 -14.339  32.7 102.59  0.000
## 5   5.474                 -0.10620  3 -14.144  34.3 104.20  0.000
## 3   5.408         0.01915           3 -14.331  34.7 104.57  0.000
## 7   5.465         0.01863 -0.10610  4 -14.136  36.3 106.18  0.000
## Models ranked by AIC(x) 
## 
## [[242]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1      x2        x3 df  logLik   AIC  delta weight
## 4   5.017 0.9371 -0.1099            4  41.533 -75.1   0.00  0.479
## 2   4.955 0.9473                    3  39.773 -73.5   1.52  0.224
## 8   5.031 0.9379 -0.1102 -0.030630  5  41.674 -73.3   1.72  0.203
## 6   4.968 0.9482         -0.029540  4  39.895 -71.8   3.27  0.093
## 1   5.433                           2 -11.536  27.1 102.14  0.000
## 3   5.551        -0.2262            3 -10.583  27.2 102.23  0.000
## 5   5.430                 0.007384  3 -11.535  29.1 104.14  0.000
## 7   5.549        -0.2262  0.004326  4 -10.583  29.2 104.23  0.000
## Models ranked by AIC(x) 
## 
## [[243]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1        x2       x3 df  logLik   AIC  delta weight
## 2   4.907 1.083                     3  44.295 -82.6   0.00  0.416
## 6   4.933 1.080           -0.05034  4  44.877 -81.8   0.84  0.274
## 4   4.888 1.084  0.036840           4  44.549 -81.1   1.49  0.197
## 8   4.917 1.082  0.025400 -0.04505  5  44.994 -80.0   2.60  0.113
## 1   5.512                           2 -16.232  36.5 119.05  0.000
## 5   5.565                 -0.10560  3 -16.005  38.0 120.60  0.000
## 3   5.514       -0.003638           3 -16.231  38.5 121.05  0.000
## 7   5.584       -0.031880 -0.11220  4 -15.989  40.0 122.57  0.000
## Models ranked by AIC(x) 
## 
## [[244]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC  delta weight
## 2   4.972 0.9897                    3 42.845 -79.7   0.00  0.433
## 4   4.998 0.9946 -0.05529           4 43.450 -78.9   0.79  0.291
## 6   4.977 0.9913          -0.01187  4 42.873 -77.7   1.94  0.164
## 8   5.005 0.9967 -0.05613 -0.01496  5 43.495 -77.0   2.70  0.112
## 1   5.387                           2 -7.887  19.8  99.46  0.000
## 5   5.337                  0.10250  3 -7.607  21.2 100.90  0.000
## 3   5.377         0.02016           3 -7.877  21.8 101.44  0.000
## 7   5.324         0.02484  0.10360  4 -7.591  23.2 102.87  0.000
## Models ranked by AIC(x) 
## 
## [[245]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2         x3 df  logLik   AIC  delta weight
## 2   4.912 1.091                      3  40.276 -74.6   0.00  0.528
## 4   4.920 1.091 -0.01426             4  40.308 -72.6   1.94  0.201
## 6   4.916 1.091          -0.0077700  4  40.287 -72.6   1.98  0.196
## 8   4.923 1.091 -0.01426 -0.0077750  5  40.318 -70.6   3.92  0.075
## 1   5.429                            2 -12.599  29.2 103.75  0.000
## 3   5.453       -0.04626             3 -12.559  31.1 105.67  0.000
## 5   5.429                -0.0006546  3 -12.599  31.2 105.75  0.000
## 7   5.454       -0.04626 -0.0006804  4 -12.559  33.1 107.67  0.000
## Models ranked by AIC(x) 
## 
## [[246]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   AIC  delta weight
## 4   4.974 1.026 -0.10190          4  41.202 -74.4   0.00  0.434
## 2   4.931 1.024                   3  39.599 -73.2   1.21  0.238
## 8   4.959 1.021 -0.10020 0.03753  5  41.472 -72.9   1.46  0.209
## 6   4.914 1.018          0.04148  4  39.910 -71.8   2.58  0.119
## 1   5.417                         2 -18.871  41.7 116.15  0.000
## 5   5.313                0.22120  3 -17.986  42.0 116.37  0.000
## 3   5.448       -0.07123          3 -18.798  43.6 118.00  0.000
## 7   5.341       -0.06181 0.21900  4 -17.929  43.9 118.26  0.000
## Models ranked by AIC(x) 
## 
## [[247]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC delta weight
## 4   5.050 0.8843 -0.07369           4 47.304 -86.6  0.00  0.387
## 2   5.005 0.8827                    3 45.931 -85.9  0.75  0.267
## 8   5.063 0.8847 -0.06649 -0.03424  5 47.534 -85.1  1.54  0.179
## 6   5.031 0.8836          -0.05185  4 46.462 -84.9  1.68  0.167
## 1   5.502                           2 -2.601   9.2 95.81  0.000
## 3   5.538        -0.05924           3 -2.477  11.0 97.56  0.000
## 5   5.521                 -0.03762  3 -2.561  11.1 97.73  0.000
## 7   5.547        -0.05436 -0.02321  4 -2.462  12.9 99.53  0.000
## Models ranked by AIC(x) 
## 
## [[248]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AIC  delta weight
## 2   5.003 0.9300                    3 47.491 -89.0   0.00  0.447
## 4   5.022 0.9375 -0.05090           4 48.015 -88.0   0.95  0.278
## 6   5.010 0.9281          -0.01260  4 47.531 -87.1   1.92  0.171
## 8   5.027 0.9362 -0.04996 -0.00788  5 48.031 -86.1   2.92  0.104
## 1   5.455                           2 -7.170  18.3 107.32  0.000
## 5   5.522                 -0.13720  3 -6.618  19.2 108.22  0.000
## 3   5.408         0.10410           3 -6.919  19.8 108.82  0.000
## 7   5.474         0.11740 -0.14570  4 -6.293  20.6 109.57  0.000
## Models ranked by AIC(x) 
## 
## [[249]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 4   4.986 1.066 -0.11450           4  40.945 -73.9   0.00  0.506
## 2   4.940 1.049                    3  39.077 -72.2   1.73  0.213
## 8   4.983 1.065 -0.11330 0.003684  5  40.946 -71.9   2.00  0.187
## 6   4.920 1.050          0.036360  4  39.271 -70.5   3.35  0.095
## 1   5.426                          2 -13.764  31.5 105.42  0.000
## 3   5.397        0.06261           3 -13.697  33.4 107.28  0.000
## 5   5.417                0.017150  3 -13.758  33.5 107.41  0.000
## 7   5.370        0.07432 0.038760  4 -13.673  35.3 109.23  0.000
## Models ranked by AIC(x) 
## 
## [[250]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2         x3 df  logLik   AIC  delta weight
## 2   4.935 1.020                      3  44.112 -82.2   0.00  0.472
## 4   4.957 1.031 -0.04836             4  44.511 -81.0   1.20  0.259
## 6   4.936 1.020          -0.0027900  4  44.113 -80.2   2.00  0.174
## 8   4.957 1.031 -0.04832 -0.0009064  5  44.511 -79.0   3.20  0.095
## 1   5.369                            2 -11.190  26.4 108.60  0.000
## 3   5.255        0.20710             3 -10.332  26.7 108.89  0.000
## 5   5.369                -0.0005093  3 -11.190  28.4 110.60  0.000
## 7   5.259        0.20750 -0.0087060  4 -10.330  28.7 110.88  0.000
## Models ranked by AIC(x) 
## 
## [[251]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2         x3 df logLik   AIC  delta weight
## 4   5.014 1.0080 -0.07424             4 47.070 -86.1   0.00  0.395
## 2   4.992 0.9938                      3 45.899 -85.8   0.34  0.333
## 8   5.015 1.0080 -0.07413 -0.0007229  5 47.070 -84.1   2.00  0.145
## 6   5.000 0.9894          -0.0118900  4 45.929 -83.9   2.28  0.126
## 5   5.634                 -0.3299000  3 -6.443  18.9 105.03  0.000
## 7   5.582         0.14020 -0.3397000  4 -5.918  19.8 105.98  0.000
## 1   5.472                             2 -9.435  22.9 109.01  0.000
## 3   5.426         0.11410             3 -9.126  24.3 110.39  0.000
## Models ranked by AIC(x) 
## 
## [[252]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 4   4.978 1.045 -0.08680           4  48.262 -88.5   0.00  0.433
## 8   4.999 1.040 -0.08718 -0.03984  5  48.662 -87.3   1.20  0.237
## 2   4.935 1.051                    3  46.569 -87.1   1.39  0.216
## 6   4.956 1.046          -0.03907  4  46.928 -85.9   2.67  0.114
## 1   5.493                          2 -11.570  27.1 115.66  0.000
## 3   5.565       -0.15530           3 -11.050  28.1 116.62  0.000
## 5   5.565                -0.14840  3 -11.056  28.1 116.64  0.000
## 7   5.636       -0.15550 -0.14870  4 -10.524  29.0 117.57  0.000
## Models ranked by AIC(x) 
## 
## [[253]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   AIC  delta weight
## 4   4.960 1.071 -0.09194           4  46.169 -84.3   0.00  0.512
## 8   4.950 1.072 -0.08753  0.01562  5  46.214 -82.4   1.91  0.197
## 2   4.920 1.062                    3  44.172 -82.3   1.99  0.189
## 6   4.897 1.066           0.04544  4  44.564 -81.1   3.21  0.103
## 1   5.470                          2 -16.231  36.5 120.80  0.000
## 5   5.496                -0.05735  3 -16.175  38.3 122.69  0.000
## 3   5.465        0.00960           3 -16.229  38.5 122.80  0.000
## 7   5.501       -0.00764 -0.06001  4 -16.174  40.3 124.69  0.000
## Models ranked by AIC(x) 
## 
## [[254]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   AIC  delta weight
## 4   5.000 1.024 -0.06810            4  47.540 -87.1   0.00  0.389
## 2   4.969 1.015                     3  46.396 -86.8   0.29  0.337
## 8   5.008 1.024 -0.07104 -0.013180  5  47.583 -85.2   1.91  0.150
## 6   4.968 1.015           0.002031  4  46.397 -84.8   2.29  0.124
## 1   5.470                           2 -12.425  28.8 115.93  0.000
## 3   5.436        0.06480            3 -12.326  30.7 117.73  0.000
## 5   5.489                -0.037310  3 -12.391  30.8 117.86  0.000
## 7   5.451        0.05934 -0.024300  4 -12.313  32.6 119.71  0.000
## Models ranked by AIC(x) 
## 
## [[255]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   AIC  delta weight
## 2   4.919 1.069                     3  42.939 -79.9   0.00  0.513
## 4   4.935 1.064 -0.02811            4  43.070 -78.1   1.74  0.215
## 6   4.915 1.070           0.008969  4  42.954 -77.9   1.97  0.192
## 8   4.932 1.065 -0.02746  0.006564  5  43.079 -76.2   3.72  0.080
## 3   5.606       -0.28860            3 -19.732  45.5 125.34  0.000
## 7   5.710       -0.30180 -0.242100  4 -18.782  45.6 125.44  0.000
## 1   5.467                           2 -20.880  45.8 125.64  0.000
## 5   5.559                -0.227500  3 -20.079  46.2 126.03  0.000
## Models ranked by AIC(x)

dredgelistAICc[which(pstor>1)]

## [[1]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 4   4.924 1.081 -0.09767           4  41.418 -73.9   0.00  0.418
## 2   4.877 1.057                    3  40.059 -73.6   0.35  0.350
## 8   4.922 1.081 -0.09725  0.00311  5  41.420 -71.5   2.47  0.121
## 6   4.870 1.058           0.01343  4  40.090 -71.3   2.66  0.111
## 1   5.375                          2 -15.471  35.2 109.15  0.000
## 3   5.237        0.22920           3 -14.602  35.7 109.67  0.000
## 5   5.408                -0.07052  3 -15.376  37.3 111.22  0.000
## 7   5.261        0.22290 -0.04265  4 -14.566  38.0 111.97  0.000
## Models ranked by AICc(x) 
## 
## [[2]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc delta weight
## 2   4.985 0.9575                    3 37.630 -68.7  0.00  0.410
## 6   5.007 0.9769          -0.06986  4 38.455 -68.0  0.72  0.287
## 4   5.003 0.9607 -0.03913           4 37.863 -66.8  1.90  0.158
## 8   5.040 0.9861 -0.06118 -0.08439  5 39.009 -66.7  2.08  0.145
## 1   5.535                           2 -9.382  23.0 91.76  0.000
## 5   5.458                  0.16200  3 -8.659  23.8 92.58  0.000
## 3   5.514         0.04058           3 -9.344  25.2 93.95  0.000
## 7   5.407         0.08283  0.17870  4 -8.503  25.9 94.63  0.000
## Models ranked by AICc(x) 
## 
## [[3]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df logLik   AICc  delta weight
## 4   4.969 1.051 -0.06782          4 59.294 -109.7   0.00  0.391
## 2   4.940 1.041                   3 57.656 -108.8   0.91  0.248
## 8   4.954 1.044 -0.06333 0.03618  5 59.855 -108.3   1.35  0.199
## 6   4.924 1.034          0.04291  4 58.408 -107.9   1.77  0.161
## 1   5.435                         2 -3.844   11.9 121.64  0.000
## 5   5.368                0.14910  3 -3.054   12.6 122.33  0.000
## 3   5.415        0.04127          3 -3.793   14.1 123.81  0.000
## 7   5.337        0.05738 0.15420  4 -2.953   14.8 124.50  0.000
## Models ranked by AICc(x) 
## 
## [[4]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df logLik  AICc  delta weight
## 4   4.989 1.017 -0.08712          4 43.625 -78.4   0.00  0.425
## 2   4.946 1.017                   3 42.166 -77.8   0.55  0.323
## 8   4.978 1.014 -0.08551 0.02311  5 43.731 -76.1   2.26  0.137
## 6   4.934 1.013          0.02904  4 42.325 -75.8   2.60  0.116
## 1   5.395                         2 -8.787  21.8 100.19  0.000
## 5   5.316                0.15960  3 -8.144  22.8 101.17  0.000
## 3   5.436       -0.08245          3 -8.621  23.8 102.12  0.000
## 7   5.354       -0.07178 0.15470  4 -8.016  24.9 103.28  0.000
## Models ranked by AICc(x) 
## 
## [[5]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df  logLik   AICc  delta weight
## 2   4.961 1.0050                     3  55.133 -103.7   0.00  0.362
## 4   4.989 0.9968 -0.05707            4  56.202 -103.5   0.23  0.323
## 6   4.982 1.0060          -0.042040  4  55.619 -102.3   1.40  0.180
## 8   5.005 0.9983 -0.05367 -0.036060  5  56.570 -101.8   1.97  0.135
## 1   5.466                            2 -11.260   26.8 130.52  0.000
## 3   5.547        -0.19240            3 -10.395   27.3 131.06  0.000
## 5   5.470                 -0.008125  3 -11.259   29.0 132.79  0.000
## 7   5.541        -0.19350  0.012520  4 -10.392   29.7 133.42  0.000
## Models ranked by AICc(x) 
## 
## [[6]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc delta weight
## 2   4.935 1.023                    3  32.473 -58.4  0.00  0.579
## 4   4.950 1.018 -0.02208           4  32.532 -56.2  2.25  0.188
## 6   4.932 1.022          0.007287  4  32.480 -56.1  2.35  0.179
## 8   4.947 1.018 -0.02149 0.005174  5  32.536 -53.7  4.72  0.055
## 3   5.577       -0.24600           3 -11.993  30.5 88.93  0.000
## 1   5.443                          2 -13.257  30.8 89.19  0.000
## 7   5.563       -0.24290 0.025800  4 -11.977  32.8 91.27  0.000
## 5   5.418                0.052000  3 -13.196  32.9 91.34  0.000
## Models ranked by AICc(x) 
## 
## [[7]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik  AICc delta weight
## 4   5.062 0.9026 -0.11370          4 41.051 -73.2  0.00  0.409
## 8   5.031 0.8869 -0.09967 0.07136  5 41.965 -72.6  0.64  0.296
## 6   4.969 0.8893          0.09158  4 40.151 -71.4  1.80  0.166
## 2   4.999 0.9107                   3 38.707 -70.9  2.32  0.128
## 5   5.393                 0.24440  3 -0.666   7.9 81.07  0.000
## 7   5.463        -0.11560 0.22050  4 -0.202   9.3 82.50  0.000
## 1   5.503                          2 -2.733   9.7 82.93  0.000
## 3   5.586        -0.16130          3 -1.855  10.2 83.44  0.000
## Models ranked by AICc(x) 
## 
## [[8]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2      x3 df  logLik  AICc delta weight
## 2   5.003 0.9732                    3  34.871 -63.2  0.00  0.411
## 4   5.035 0.9809 -0.077520          4  35.844 -62.8  0.42  0.333
## 6   4.987 0.9726           0.03516  4  35.047 -61.2  2.01  0.150
## 8   5.023 0.9801 -0.074230 0.02360  5  35.925 -60.5  2.73  0.105
## 1   5.471                           2 -10.454  25.2 88.38  0.000
## 5   5.448                  0.05125  3 -10.393  27.3 90.53  0.000
## 3   5.469         0.004414          3 -10.454  27.4 90.65  0.000
## 7   5.442         0.011670 0.05305  4 -10.390  29.7 92.89  0.000
## Models ranked by AICc(x) 
## 
## [[9]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.904 1.070                    3  53.131 -99.7   0.00  0.403
## 4   4.931 1.068 -0.05145           4  54.091 -99.3   0.45  0.323
## 8   4.912 1.068 -0.06040  0.03742  5  54.474 -97.6   2.15  0.137
## 6   4.892 1.071           0.01915  4  53.234 -97.6   2.16  0.137
## 1   5.484                          2 -13.629  31.5 131.25  0.000
## 3   5.532       -0.09455           3 -13.407  33.3 133.08  0.000
## 5   5.494                -0.01525  3 -13.625  33.8 133.51  0.000
## 7   5.525       -0.09804  0.01454  4 -13.403  35.7 135.44  0.000
## Models ranked by AICc(x) 
## 
## [[10]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2     x3 df logLik  AICc delta weight
## 6   4.949 0.9235           0.1055  4 43.080 -77.3  0.00  0.481
## 8   4.983 0.9273 -0.058500 0.0948  5 43.784 -76.2  1.07  0.282
## 4   5.034 0.9336 -0.078790         4 41.690 -74.5  2.78  0.120
## 2   4.994 0.9293                   3 40.480 -74.4  2.83  0.117
## 1   5.485                          2 -6.693  17.6 94.91  0.000
## 5   5.421                  0.1427  3 -5.998  18.5 95.79  0.000
## 3   5.504        -0.035650         3 -6.656  19.8 97.11  0.000
## 7   5.424        -0.005771 0.1417  4 -5.997  20.9 98.15  0.000
## Models ranked by AICc(x) 
## 
## [[11]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2         x3 df  logLik  AICc  delta weight
## 2   4.952 0.9766                      3  44.202 -81.9   0.00  0.550
## 4   4.972 0.9709 -0.03238             4  44.454 -80.0   1.86  0.217
## 6   4.956 0.9758          -0.0072130  4  44.212 -79.5   2.35  0.170
## 8   4.972 0.9709 -0.03228 -0.0005669  5  44.454 -77.5   4.34  0.063
## 1   5.469                             2 -10.977  26.2 108.09  0.000
## 3   5.559        -0.17970             3 -10.087  26.7 108.58  0.000
## 5   5.529                 -0.1289000  3 -10.611  27.7 109.62  0.000
## 7   5.594        -0.16300 -0.0922300  4  -9.901  28.7 110.57  0.000
## Models ranked by AICc(x) 
## 
## [[12]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc delta weight
## 4   5.006 0.9800 -0.09149           4 36.951 -65.0  0.00  0.378
## 2   4.967 0.9787                    3 35.504 -64.5  0.53  0.290
## 6   4.998 0.9796          -0.07010  4 36.148 -63.4  1.61  0.169
## 8   5.027 0.9807 -0.08359 -0.05432  5 37.347 -63.3  1.68  0.163
## 1   5.419                           2 -8.064  20.4 85.40  0.000
## 3   5.454        -0.08055           3 -7.872  22.3 87.28  0.000
## 5   5.445                 -0.05694  3 -7.990  22.5 87.51  0.000
## 7   5.471        -0.07431 -0.04290  4 -7.831  24.6 89.56  0.000
## Models ranked by AICc(x) 
## 
## [[13]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc  delta weight
## 2   4.964 0.9952                    3 49.178 -91.8   0.00  0.520
## 4   4.986 0.9875 -0.03586           4 49.467 -90.0   1.79  0.212
## 6   4.977 0.9927          -0.02479  4 49.352 -89.8   2.02  0.189
## 8   5.005 0.9835 -0.04023 -0.02951  5 49.713 -88.1   3.77  0.079
## 3   5.616        -0.22630           3 -5.072  16.7 108.50  0.000
## 1   5.503                           2 -6.400  17.1 108.89  0.000
## 7   5.685        -0.24130 -0.12280  4 -4.584  18.1 109.89  0.000
## 5   5.552                 -0.09857  3 -6.099  18.7 110.55  0.000
## Models ranked by AICc(x) 
## 
## [[14]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   AICc  delta weight
## 2   4.950 0.9649                     3 55.961 -105.4   0.00  0.459
## 4   4.978 0.9695 -0.05473            4 56.749 -104.6   0.79  0.309
## 6   4.954 0.9651          -0.006867  4 55.978 -103.1   2.33  0.143
## 8   4.977 0.9695 -0.05511  0.001687  5 56.750 -102.1   3.26  0.090
## 1   5.419                            2 -4.976   14.2 119.61  0.000
## 3   5.401         0.03233            3 -4.953   16.4 121.83  0.000
## 5   5.412                  0.012750  3 -4.971   16.5 121.86  0.000
## 7   5.398         0.03057  0.007953  4 -4.951   18.8 124.19  0.000
## Models ranked by AICc(x) 
## 
## [[15]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik  AICc  delta weight
## 2   4.914 1.041                   3  34.159 -61.8   0.00  0.345
## 4   4.963 1.034 -0.08611          4  35.187 -61.5   0.31  0.295
## 6   4.880 1.041          0.07022  4  34.849 -60.8   0.99  0.211
## 8   4.929 1.036 -0.07969 0.06212  5  35.742 -60.1   1.68  0.149
## 1   5.425                         2 -18.938  42.1 103.93  0.000
## 3   5.520       -0.18020          3 -18.402  43.3 105.12  0.000
## 5   5.400                0.05255  3 -18.893  44.3 106.10  0.000
## 7   5.501       -0.17670 0.03480  4 -18.381  45.7 107.45  0.000
## Models ranked by AICc(x) 
## 
## [[16]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik  AICc  delta weight
## 4   5.032 0.9696 -0.10740          4  40.715 -72.5   0.00  0.392
## 2   4.982 0.9658                   3  39.041 -71.6   0.98  0.240
## 8   5.007 0.9613 -0.10600 0.05807  5  41.391 -71.4   1.12  0.224
## 6   4.956 0.9572          0.06000  4  39.717 -70.5   2.00  0.144
## 1   5.456                          2 -12.356  29.0 101.51  0.000
## 5   5.360                 0.19210  3 -11.449  29.4 101.96  0.000
## 3   5.486        -0.06263          3 -12.286  31.1 103.63  0.000
## 7   5.389        -0.05929 0.19130  4 -11.383  31.7 104.20  0.000
## Models ranked by AICc(x) 
## 
## [[17]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik  AICc  delta weight
## 4   4.996 0.9864 -0.07617            4 46.624 -84.4   0.00  0.407
## 2   4.955 0.9941                     3 45.255 -84.0   0.37  0.338
## 8   4.984 0.9862 -0.08621  0.032890  5 46.866 -82.4   1.99  0.150
## 6   4.952 0.9942           0.006817  4 45.266 -81.6   2.72  0.105
## 1   5.465                            2 -7.922  20.1 104.46  0.000
## 3   5.541        -0.15580            3 -7.243  21.0 105.37  0.000
## 5   5.471                 -0.011360  3 -7.919  22.4 106.72  0.000
## 7   5.527        -0.16790  0.039690  4 -7.203  23.3 107.65  0.000
## Models ranked by AICc(x) 
## 
## [[18]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2         x3 df logLik  AICc  delta weight
## 4   5.054 0.8914 -0.08390             4 48.073 -87.3   0.00  0.460
## 2   5.014 0.8882                      3 46.497 -86.5   0.79  0.310
## 8   5.054 0.8913 -0.08393 -0.0003316  5 48.073 -84.8   2.47  0.133
## 6   5.008 0.8921           0.0104200  4 46.514 -84.1   3.12  0.097
## 5   5.632                 -0.3874000  3 -2.257  11.0  98.29  0.000
## 7   5.683        -0.09177 -0.3987000  4 -1.999  12.9 100.14  0.000
## 1   5.451                             2 -6.021  16.3 103.55  0.000
## 3   5.475        -0.04862             3 -5.958  18.4 105.69  0.000
## Models ranked by AICc(x) 
## 
## [[19]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 4   4.959 1.072 -0.09786           4  37.919 -66.9   0.00  0.421
## 2   4.916 1.068                    3  36.186 -65.8   1.10  0.243
## 8   4.993 1.072 -0.10410 -0.05998  5  38.543 -65.7   1.23  0.228
## 6   4.940 1.068          -0.04819  4  36.564 -64.2   2.71  0.109
## 1   5.460                          2 -16.360  37.0 103.92  0.000
## 3   5.489       -0.06314           3 -16.274  39.1 106.02  0.000
## 5   5.486                -0.05054  3 -16.309  39.1 106.09  0.000
## 7   5.522       -0.06924 -0.05838  4 -16.207  41.3 108.25  0.000
## Models ranked by AICc(x) 
## 
## [[20]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik  AICc delta weight
## 2   4.967 0.9517                   3  35.668 -64.8  0.00  0.321
## 6   4.936 0.9331          0.08616  4  36.665 -64.4  0.37  0.266
## 4   5.007 0.9498 -0.07211          4  36.475 -64.1  0.75  0.220
## 8   4.976 0.9304 -0.07508 0.08906  5  37.575 -63.8  1.03  0.192
## 5   5.293                 0.31860  3 -10.068  26.7 91.47  0.000
## 7   5.349        -0.10740 0.32180  4  -9.784  28.5 93.27  0.000
## 1   5.441                          2 -12.237  28.7 93.54  0.000
## 3   5.495        -0.09867          3 -12.017  30.6 95.37  0.000
## Models ranked by AICc(x) 
## 
## [[21]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik  AICc  delta weight
## 4   5.029 0.9337 -0.09516           4  44.607 -80.3   0.00  0.410
## 8   4.990 0.9419 -0.08701  0.05229  5  45.268 -79.2   1.15  0.230
## 2   4.970 0.9570                    3  42.706 -78.9   1.44  0.200
## 6   4.928 0.9646           0.06442  4  43.662 -78.4   1.89  0.159
## 3   5.605        -0.33940           3 -10.720  28.0 108.29  0.000
## 7   5.662        -0.34960 -0.08861  4 -10.509  29.9 110.23  0.000
## 1   5.435                           2 -13.496  31.2 111.57  0.000
## 5   5.464                 -0.05078  3 -13.434  33.4 113.71  0.000
## Models ranked by AICc(x) 
## 
## [[22]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc  delta weight
## 2   4.961 0.9879                    3 45.501 -84.5   0.00  0.372
## 6   4.993 0.9897          -0.06541  4 46.379 -83.9   0.61  0.274
## 4   4.990 0.9865 -0.05712           4 46.160 -83.4   1.05  0.220
## 8   5.016 0.9883 -0.05046 -0.05986  5 46.904 -82.4   2.04  0.134
## 1   5.463                           2 -9.566  23.4 107.87  0.000
## 3   5.503        -0.08182           3 -9.418  25.4 109.84  0.000
## 5   5.482                 -0.03684  3 -9.535  25.6 110.07  0.000
## 7   5.516        -0.07869 -0.02825  4 -9.400  27.7 112.17  0.000
## Models ranked by AICc(x) 
## 
## [[23]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df logLik  AICc  delta weight
## 2   4.946 1.036                   3 50.739 -95.0   0.00  0.534
## 6   4.932 1.037          0.02943  4 50.988 -93.1   1.87  0.210
## 4   4.957 1.038 -0.02495          4 50.888 -92.9   2.07  0.190
## 8   4.943 1.038 -0.02043 0.02651  5 51.087 -90.8   4.15  0.067
## 1   5.437                         2 -9.726  23.7 118.66  0.000
## 3   5.411        0.05149          3 -9.669  25.9 120.82  0.000
## 5   5.431                0.01357  3 -9.722  26.0 120.92  0.000
## 7   5.400        0.05516 0.02150  4 -9.658  28.2 123.16  0.000
## Models ranked by AICc(x) 
## 
## [[24]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2         x3 df  logLik  AICc  delta weight
## 2   4.927 1.058                      3  41.498 -76.5   0.00  0.532
## 4   4.946 1.059 -0.04505             4  41.865 -74.8   1.63  0.235
## 6   4.927 1.058          -0.0007143  4  41.498 -74.1   2.37  0.163
## 8   4.953 1.058 -0.04708 -0.0113300  5  41.883 -72.4   4.07  0.070
## 1   5.436                            2 -17.486  39.2 115.70  0.000
## 5   5.502                -0.1245000  3 -17.274  41.1 117.54  0.000
## 3   5.445       -0.01927             3 -17.480  41.5 117.95  0.000
## 7   5.526       -0.04352 -0.1343000  4 -17.243  43.4 119.85  0.000
## Models ranked by AICc(x) 
## 
## [[25]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc delta weight
## 2   5.019 0.8677                    3 39.453 -72.4  0.00  0.465
## 4   5.044 0.8888 -0.07171           4 40.137 -71.4  1.00  0.282
## 6   5.030 0.8750          -0.03188  4 39.599 -70.3  2.07  0.165
## 8   5.051 0.8929 -0.06832 -0.02242  5 40.210 -69.1  3.33  0.088
## 1   5.469                           2 -3.476  11.2 83.59  0.000
## 3   5.365         0.20280           3 -2.386  11.3 83.68  0.000
## 5   5.392                  0.16780  3 -2.699  11.9 84.30  0.000
## 7   5.318         0.17520  0.13300  4 -1.900  12.7 85.07  0.000
## Models ranked by AICc(x) 
## 
## [[26]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik  AICc  delta weight
## 2   4.942 0.9849                   3  41.168 -75.8   0.00  0.358
## 4   4.981 0.9990 -0.08615          4  42.298 -75.7   0.11  0.339
## 6   4.925 0.9793          0.04075  4  41.535 -74.2   1.63  0.158
## 8   4.964 0.9934 -0.08632 0.04100  5  42.688 -74.0   1.80  0.145
## 1   5.466                          2 -13.941  32.1 107.95  0.000
## 5   5.386                 0.16550  3 -13.255  33.0 108.85  0.000
## 3   5.393         0.13450          3 -13.630  33.8 109.60  0.000
## 7   5.318         0.12890 0.16240  4 -12.963  34.8 110.63  0.000
## Models ranked by AICc(x) 
## 
## [[27]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2         x3 df  logLik  AICc  delta weight
## 4   5.026 0.9863 -0.09321             4  45.923 -83.0   0.00  0.507
## 2   4.979 0.9742                      3  44.088 -81.7   1.30  0.264
## 8   5.029 0.9853 -0.09339 -0.0039240  5  45.926 -80.5   2.47  0.148
## 6   4.979 0.9744           0.0005246  4  44.088 -79.3   3.67  0.081
## 5   5.598                 -0.2444000  3 -10.045  26.6 109.57  0.000
## 1   5.480                             2 -11.467  27.2 110.15  0.000
## 7   5.585         0.02058 -0.2428000  4 -10.035  29.0 111.92  0.000
## 3   5.457         0.03986             3 -11.431  29.4 112.34  0.000
## Models ranked by AICc(x) 
## 
## [[28]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik  AICc  delta weight
## 4   4.997 0.9531 -0.07555          4 50.421 -92.0   0.00  0.372
## 2   4.962 0.9570                   3 49.131 -91.7   0.21  0.335
## 6   4.943 0.9495          0.04248  4 49.514 -90.1   1.81  0.150
## 8   4.980 0.9471 -0.07228 0.03553  5 50.700 -90.0   1.92  0.143
## 1   5.389                          2 -6.807  17.9 109.82  0.000
## 5   5.278                 0.21700  3 -5.688  17.9 109.85  0.000
## 3   5.445        -0.12600          3 -6.430  19.4 111.33  0.000
## 7   5.330        -0.10520 0.20620  4 -5.417  19.7 111.67  0.000
## Models ranked by AICc(x) 
## 
## [[29]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1         x2      x3 df logLik  AICc  delta weight
## 2   4.972 0.9416                     3 50.457 -94.4   0.00  0.558
## 6   4.958 0.9415            0.03042  4 50.658 -92.4   1.97  0.209
## 4   4.969 0.9410  5.441e-03          4 50.465 -92.0   2.35  0.172
## 8   4.958 0.9415 -3.664e-05 0.03043  5 50.658 -90.0   4.44  0.061
## 1   5.484                            2 -8.024  20.3 114.70  0.000
## 3   5.438         9.642e-02          3 -7.775  22.1 116.46  0.000
## 5   5.469                   0.03442  3 -7.999  22.5 116.91  0.000
## 7   5.433         9.412e-02 0.01289  4 -7.772  24.4 118.82  0.000
## Models ranked by AICc(x) 
## 
## [[30]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik  AICc delta weight
## 2   4.998 0.9263                   3 36.777 -67.0  0.00  0.505
## 4   5.030 0.9172 -0.04949          4 37.132 -65.4  1.66  0.221
## 6   4.983 0.9248          0.03519  4 36.996 -65.1  1.93  0.193
## 8   5.015 0.9155 -0.05052 0.03635  5 37.369 -63.4  3.66  0.081
## 3   5.572        -0.21930          3 -7.643  21.8 88.84  0.000
## 1   5.453                          2 -8.828  21.9 88.94  0.000
## 7   5.540        -0.22070 0.07168  4 -7.489  23.9 90.90  0.000
## 5   5.422                 0.06803  3 -8.696  23.9 90.95  0.000
## Models ranked by AICc(x) 
## 
## [[31]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik  AICc  delta weight
## 4   4.979 1.065 -0.10280            4  42.668 -76.4   0.00  0.474
## 2   4.938 1.053                     3  41.007 -75.5   0.95  0.294
## 8   4.978 1.066 -0.10320  0.002164  5  42.668 -74.0   2.47  0.138
## 6   4.948 1.047          -0.015420  4  41.044 -73.2   3.25  0.094
## 5   5.666                -0.394800  3 -11.894  30.3 106.76  0.000
## 7   5.621        0.10880 -0.406100  4 -11.675  32.2 108.69  0.000
## 1   5.476                           2 -14.987  34.2 110.68  0.000
## 3   5.448        0.06095            3 -14.926  36.4 112.82  0.000
## Models ranked by AICc(x) 
## 
## [[32]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1      x2       x3 df  logLik  AICc  delta weight
## 2   4.931 1.016                   3  51.984 -97.4   0.00  0.561
## 6   4.941 1.019         -0.02238  4  52.141 -95.4   2.05  0.201
## 4   4.927 1.014 0.01211           4  52.015 -95.1   2.30  0.177
## 8   4.937 1.017 0.01136 -0.02212  5  52.169 -93.0   4.47  0.060
## 1   5.400                         2 -12.737  29.7 127.17  0.000
## 3   5.284       0.24540           3 -11.714  29.9 127.40  0.000
## 5   5.351                0.09674  3 -12.512  31.5 128.99  0.000
## 7   5.234       0.24570  0.09737  4 -11.477  31.8 129.29  0.000
## Models ranked by AICc(x) 
## 
## [[33]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1      x2         x3 df  logLik  AICc delta weight
## 4   4.989 1.051 -0.1096             4  37.223 -65.6  0.00  0.458
## 2   4.939 1.056                     3  35.654 -64.8  0.77  0.311
## 8   4.984 1.050 -0.1107  0.0111600  5  37.239 -63.1  2.44  0.135
## 6   4.939 1.056         -0.0001649  4  35.654 -62.4  3.14  0.095
## 1   5.480                           2 -12.060  28.4 93.93  0.000
## 3   5.548       -0.1555             3 -11.601  29.7 95.28  0.000
## 5   5.391                0.1541000  3 -11.628  29.8 95.33  0.000
## 7   5.457       -0.1708  0.1702000  4 -11.067  31.0 96.58  0.000
## Models ranked by AICc(x) 
## 
## [[34]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik  AICc  delta weight
## 2   4.955 0.9808                     3 40.473 -74.4   0.00  0.409
## 4   4.994 0.9829 -0.07138            4 41.530 -74.2   0.25  0.360
## 6   4.954 0.9807           0.001789  4 40.473 -72.1   2.37  0.125
## 8   4.997 0.9832 -0.07200 -0.006400  5 41.537 -71.7   2.71  0.105
## 1   5.423                            2 -9.371  23.0  97.42  0.000
## 3   5.450        -0.04732            3 -9.309  25.1  99.56  0.000
## 5   5.405                  0.042780  3 -9.328  25.2  99.60  0.000
## 7   5.432        -0.04371  0.037870  4 -9.275  27.4 101.86  0.000
## Models ranked by AICc(x) 
## 
## [[35]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 4   4.990 1.040 -0.08514           4  44.403 -79.9   0.00  0.392
## 2   4.942 1.052                    3  43.146 -79.8   0.15  0.364
## 8   5.000 1.039 -0.08558 -0.01950  5  44.491 -77.6   2.30  0.124
## 6   4.951 1.051          -0.01803  4  43.218 -77.5   2.37  0.120
## 3   5.639       -0.24930           3 -11.584  29.7 109.61  0.000
## 1   5.518                          2 -12.761  29.8 109.69  0.000
## 7   5.668       -0.25020 -0.05910  4 -11.497  31.9 111.80  0.000
## 5   5.545                -0.05613  3 -12.686  31.9 111.81  0.000
## Models ranked by AICc(x) 
## 
## [[36]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2         x3 df  logLik  AICc  delta weight
## 2   4.960 1.025                      3  52.842 -99.2   0.00  0.407
## 4   4.995 1.017 -0.06834             4  53.906 -98.9   0.24  0.361
## 6   4.960 1.025           1.599e-06  4  52.842 -96.8   2.37  0.125
## 8   4.990 1.019 -0.07020  9.840e-03  5  53.936 -96.5   2.66  0.108
## 1   5.440                            2 -15.649  35.6 134.72  0.000
## 5   5.547                -2.082e-01  3 -14.759  36.0 135.20  0.000
## 3   5.550       -0.23790             3 -14.805  36.1 135.29  0.000
## 7   5.624       -0.19970 -1.768e-01  4 -14.166  37.2 136.38  0.000
## Models ranked by AICc(x) 
## 
## [[37]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik  AICc delta weight
## 6   5.037 0.9424          -0.09717  4  38.951 -69.0  0.00  0.460
## 2   4.980 0.9522                    3  37.325 -68.1  0.89  0.296
## 8   5.042 0.9450 -0.01629 -0.09486  5  38.992 -66.6  2.39  0.139
## 4   4.993 0.9568 -0.03170           4  37.471 -66.1  2.96  0.105
## 1   5.486                           2 -10.294  24.8 93.86  0.000
## 5   5.586                 -0.18620  3  -9.409  25.3 94.35  0.000
## 3   5.431         0.11490           3 -10.000  26.5 95.54  0.000
## 7   5.527         0.14430 -0.20440  4  -8.937  26.8 95.78  0.000
## Models ranked by AICc(x) 
## 
## [[38]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik  AICc  delta weight
## 2   4.945 0.9772                   3 46.797 -87.1   0.00  0.513
## 4   4.961 0.9874 -0.04051          4 47.197 -85.5   1.57  0.234
## 6   4.937 0.9710          0.02435  4 46.912 -84.9   2.14  0.176
## 8   4.953 0.9812 -0.04031 0.02394  5 47.310 -83.3   3.82  0.076
## 5   5.360                 0.23940  3 -3.136  12.8  99.86  0.000
## 1   5.465                          2 -4.683  13.6 100.69  0.000
## 7   5.297         0.12580 0.23370  4 -2.587  14.1 101.13  0.000
## 3   5.394         0.13440          3 -4.092  14.7 101.78  0.000
## Models ranked by AICc(x) 
## 
## [[39]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik  AICc delta weight
## 2   5.006 0.9390                   3 43.680 -80.8  0.00  0.467
## 4   5.023 0.9490 -0.05316          4 44.332 -79.8  1.06  0.275
## 6   4.992 0.9329          0.03336  4 43.867 -78.8  1.99  0.172
## 8   5.013 0.9444 -0.04929 0.02100  5 44.404 -77.4  3.39  0.086
## 1   5.496                          2 -6.049  16.4 97.19  0.000
## 5   5.384                 0.20990  3 -4.983  16.5 97.33  0.000
## 7   5.321         0.11990 0.23460  4 -4.514  17.9 98.75  0.000
## 3   5.461         0.08407          3 -5.821  18.2 99.00  0.000
## Models ranked by AICc(x) 
## 
## [[40]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik  AICc  delta weight
## 2   4.910 1.069                   3  46.102 -85.7   0.00  0.577
## 6   4.903 1.068          0.01401  4  46.143 -83.4   2.29  0.184
## 4   4.919 1.066 -0.01359          4  46.140 -83.4   2.29  0.184
## 8   4.912 1.065 -0.01246 0.01293  5  46.175 -81.0   4.70  0.055
## 3   5.606       -0.29000          3 -12.602  31.7 117.41  0.000
## 1   5.448                         2 -14.322  32.9 118.58  0.000
## 7   5.559       -0.28170 0.07969  4 -12.476  33.8 119.52  0.000
## 5   5.390                0.11050  3 -14.092  34.7 120.39  0.000
## Models ranked by AICc(x) 
## 
## [[41]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.969 0.9919                    3  46.781 -87.0   0.00  0.407
## 4   5.006 0.9832 -0.06043           4  47.641 -86.4   0.65  0.295
## 6   4.980 1.0000          -0.03059  4  47.017 -85.1   1.90  0.158
## 8   5.027 0.9937 -0.07004 -0.04455  5  48.139 -84.9   2.13  0.141
## 5   5.398                  0.22960  3 -12.587  31.7 118.74  0.000
## 1   5.513                           2 -13.874  32.0 119.04  0.000
## 3   5.628        -0.21720           3 -12.866  32.3 119.29  0.000
## 7   5.507        -0.16860  0.19200  4 -11.989  32.9 119.91  0.000
## Models ranked by AICc(x) 
## 
## [[42]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik  AICc  delta weight
## 4   5.024 0.9430 -0.08175            4 52.419 -95.9   0.00  0.497
## 2   4.971 0.9651                     3 50.615 -94.7   1.24  0.267
## 8   5.020 0.9421 -0.08577  0.013370  5 52.479 -93.6   2.35  0.153
## 6   4.975 0.9650          -0.006713  4 50.630 -92.4   3.58  0.083
## 3   5.572        -0.32560            3 -6.390  19.3 115.25  0.000
## 7   5.551        -0.34290  0.060680  4 -6.272  21.4 117.38  0.000
## 1   5.400                            2 -9.255  22.8 118.71  0.000
## 5   5.410                 -0.020930  3 -9.241  25.0 120.95  0.000
## Models ranked by AICc(x) 
## 
## [[43]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik  AICc delta weight
## 2   4.931 1.068                   3  35.235 -63.9  0.00  0.416
## 6   4.892 1.046          0.09101  4  36.246 -63.6  0.35  0.350
## 4   4.936 1.068 -0.01032          4  35.253 -61.6  2.33  0.130
## 8   4.884 1.046  0.01166 0.09477  5  36.268 -61.2  2.78  0.104
## 5   5.230                0.33820  3 -10.254  27.0 90.98  0.000
## 7   5.187        0.06274 0.35750  4 -10.155  29.2 93.15  0.000
## 1   5.411                         2 -12.498  29.3 93.20  0.000
## 3   5.422       -0.02099          3 -12.487  31.5 95.44  0.000
## Models ranked by AICc(x) 
## 
## [[44]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc delta weight
## 2   5.014 0.8867                    3 39.156 -71.8  0.00  0.405
## 4   5.043 0.8970 -0.06968           4 40.153 -71.4  0.37  0.336
## 6   5.024 0.8947          -0.02574  4 39.266 -69.6  2.15  0.138
## 8   5.057 0.9085 -0.07332 -0.03498  5 40.362 -69.4  2.43  0.120
## 5   5.350                  0.20340  3 -2.880  12.3 84.07  0.000
## 1   5.456                           2 -4.233  12.7 84.51  0.000
## 7   5.328         0.04141  0.20660  4 -2.815  14.5 86.31  0.000
## 3   5.443         0.02719           3 -4.207  14.9 86.72  0.000
## Models ranked by AICc(x) 
## 
## [[45]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik  AICc delta weight
## 2   4.946 0.9742                     3 38.469 -70.4  0.00  0.580
## 4   4.958 0.9714 -0.01941            4 38.514 -68.1  2.28  0.186
## 6   4.949 0.9749          -0.008615  4 38.480 -68.1  2.34  0.180
## 8   4.964 0.9720 -0.02150 -0.011680  5 38.534 -65.7  4.71  0.055
## 1   5.394                            2 -7.627  19.5 89.92  0.000
## 3   5.494        -0.17600            3 -7.012  20.5 90.96  0.000
## 5   5.369                  0.058380  3 -7.544  21.6 92.03  0.000
## 7   5.476        -0.16990  0.032620  4 -6.986  22.9 93.28  0.000
## Models ranked by AICc(x) 
## 
## [[46]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik  AICc  delta weight
## 2   4.920 1.118                     3  50.606 -94.7   0.00  0.517
## 4   4.942 1.107 -0.04173            4  51.059 -93.2   1.46  0.249
## 6   4.925 1.116          -0.008217  4  50.623 -92.4   2.33  0.161
## 8   4.946 1.105 -0.04153 -0.007013  5  51.071 -90.8   3.91  0.073
## 7   5.791       -0.35940 -0.339300  4 -15.713  40.3 135.00  0.000
## 3   5.633       -0.39960            3 -17.837  42.2 136.89  0.000
## 5   5.675                -0.382800  3 -18.138  42.8 137.49  0.000
## 1   5.479                           2 -20.610  45.5 140.16  0.000
## Models ranked by AICc(x) 
## 
## [[47]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2       x3 df  logLik  AICc  delta weight
## 2   4.941 0.9803                     3  42.039 -77.6   0.00  0.546
## 6   4.959 0.9778           -0.04106  4  42.316 -75.7   1.81  0.221
## 4   4.945 0.9798 -0.006742           4  42.048 -75.2   2.35  0.169
## 8   4.962 0.9775 -0.005552 -0.04086  5  42.323 -73.3   4.28  0.064
## 1   5.382                            2 -13.430  31.1 108.67  0.000
## 5   5.430                  -0.11660  3 -13.186  32.9 110.45  0.000
## 3   5.426        -0.076780           3 -13.301  33.1 110.68  0.000
## 7   5.471        -0.073010 -0.11370  4 -13.068  35.0 112.58  0.000
## Models ranked by AICc(x) 
## 
## [[48]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik  AICc  delta weight
## 2   4.951 1.029                   3  44.057 -81.6   0.00  0.421
## 4   4.979 1.030 -0.06648          4  44.792 -80.7   0.90  0.269
## 6   4.934 1.029          0.04017  4  44.360 -79.8   1.76  0.174
## 8   4.961 1.031 -0.07796 0.05456  5  45.347 -79.3   2.26  0.136
## 1   5.447                         2 -16.847  37.9 119.54  0.000
## 3   5.462       -0.03564          3 -16.829  40.2 121.77  0.000
## 5   5.438                0.02234  3 -16.839  40.2 121.79  0.000
## 7   5.453       -0.04195 0.03007  4 -16.814  42.5 124.11  0.000
## Models ranked by AICc(x) 
## 
## [[49]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.959 0.9696                    3  42.027 -77.5   0.00  0.434
## 6   4.993 0.9618          -0.06871  4  42.689 -76.5   1.04  0.257
## 4   4.984 0.9723 -0.04665           4  42.420 -76.0   1.58  0.197
## 8   5.019 0.9645 -0.04661 -0.06867  5  43.091 -74.8   2.71  0.112
## 1   5.455                           2 -11.028  26.3 103.84  0.000
## 5   5.552                 -0.22070  3 -10.193  26.9 104.44  0.000
## 3   5.448         0.01310           3 -11.024  28.6 106.10  0.000
## 7   5.546         0.01170 -0.22060  4 -10.190  29.3 106.80  0.000
## Models ranked by AICc(x) 
## 
## [[50]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik  AICc  delta weight
## 2   4.965 0.9925                   3 43.057 -79.6   0.00  0.394
## 4   4.989 1.0030 -0.06062          4 43.913 -78.9   0.66  0.284
## 6   4.947 0.9859          0.04718  4 43.444 -78.0   1.59  0.178
## 8   4.969 0.9967 -0.06636 0.05619  5 44.475 -77.6   2.01  0.144
## 1   5.495                          2 -8.336  20.9 100.52  0.000
## 5   5.411                 0.18190  3 -7.581  21.7 101.28  0.000
## 3   5.459         0.07319          3 -8.175  22.9 102.46  0.000
## 7   5.389         0.05266 0.17350  4 -7.497  23.9 103.47  0.000
## Models ranked by AICc(x) 
## 
## [[51]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik  AICc  delta weight
## 4   5.019 0.9569 -0.08229          4 44.728 -80.6   0.00  0.388
## 2   4.980 0.9500                   3 43.304 -80.1   0.48  0.305
## 8   5.000 0.9504 -0.07701 0.03993  5 45.041 -78.7   1.85  0.154
## 6   4.959 0.9422          0.05099  4 43.798 -78.7   1.86  0.153
## 1   5.396                          2 -7.176  18.6  99.17  0.000
## 5   5.310                 0.18560  3 -6.280  19.1  99.65  0.000
## 3   5.402        -0.01159          3 -7.173  20.9 101.43  0.000
## 7   5.303         0.01088 0.18700  4 -6.277  21.4 102.01  0.000
## Models ranked by AICc(x) 
## 
## [[52]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.946 1.053                    3  39.890 -73.3   0.00  0.413
## 4   4.984 1.040 -0.06318           4  40.635 -72.4   0.88  0.267
## 6   4.919 1.059           0.04849  4  40.347 -71.8   1.45  0.200
## 8   4.957 1.046 -0.06195  0.04695  5  41.077 -70.8   2.47  0.120
## 3   5.565       -0.22470           3  -9.102  24.7  97.98  0.000
## 1   5.452                          2 -10.419  25.1  98.35  0.000
## 7   5.587       -0.22510 -0.04476  4  -9.047  27.0 100.24  0.000
## 5   5.473                -0.04314  3 -10.370  27.3 100.52  0.000
## Models ranked by AICc(x) 
## 
## [[53]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1        x2       x3 df  logLik  AICc  delta weight
## 2   4.871 1.132                     3  45.310 -84.1   0.00  0.581
## 6   4.863 1.135            0.01298  4  45.351 -81.8   2.28  0.185
## 4   4.875 1.131 -0.006769           4  45.318 -81.7   2.35  0.179
## 8   4.866 1.135 -0.003927  0.01229  5  45.354 -79.3   4.75  0.054
## 5   5.610                 -0.22970  3 -14.615  35.8 119.85  0.000
## 1   5.504                           2 -15.838  35.9 120.03  0.000
## 7   5.699       -0.163200 -0.25380  4 -14.169  37.2 121.33  0.000
## 3   5.557       -0.111300           3 -15.635  37.8 121.89  0.000
## Models ranked by AICc(x) 
## 
## [[54]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc  delta weight
## 2   4.992 0.9387                    3 44.551 -82.6   0.00  0.375
## 4   5.028 0.9509 -0.07401           4 45.648 -82.4   0.17  0.344
## 6   4.964 0.9455           0.04284  4 44.903 -80.9   1.66  0.164
## 8   5.006 0.9545 -0.06818  0.02855  5 45.804 -80.2   2.34  0.117
## 1   5.542                           2 -4.761  13.8  96.36  0.000
## 5   5.594                 -0.09247  3 -4.528  15.6  98.16  0.000
## 3   5.505         0.06348           3 -4.649  15.8  98.40  0.000
## 7   5.562         0.04522 -0.08214  4 -4.473  17.8 100.42  0.000
## Models ranked by AICc(x) 
## 
## [[55]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.995 0.9259                    3  47.187 -87.9   0.00  0.415
## 4   5.020 0.9314 -0.05718           4  47.924 -87.0   0.89  0.266
## 6   5.015 0.9263          -0.03984  4  47.604 -86.3   1.53  0.193
## 8   5.043 0.9321 -0.05977 -0.04292  5  48.422 -85.5   2.37  0.127
## 1   5.430                           2 -11.266  26.8 114.64  0.000
## 3   5.405         0.05176           3 -11.207  28.9 116.79  0.000
## 5   5.445                 -0.02936  3 -11.244  29.0 116.86  0.000
## 7   5.419         0.05020 -0.02683  4 -11.189  31.3 119.12  0.000
## Models ranked by AICc(x) 
## 
## [[56]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc  delta weight
## 2   4.990 0.9312                    3 49.088 -91.7   0.00  0.401
## 4   5.015 0.9369 -0.06089           4 50.113 -91.3   0.32  0.342
## 6   4.977 0.9340           0.02260  4 49.223 -89.6   2.10  0.141
## 8   5.001 0.9398 -0.06121  0.02345  5 50.265 -89.2   2.49  0.116
## 1   5.404                           2 -7.715  19.7 111.34  0.000
## 5   5.449                 -0.08319  3 -7.523  21.6 113.22  0.000
## 3   5.396         0.01945           3 -7.705  21.9 113.58  0.000
## 7   5.440         0.01971 -0.08326  4 -7.512  23.9 115.57  0.000
## Models ranked by AICc(x) 
## 
## [[57]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df logLik  AICc  delta weight
## 2   4.959 1.002                     3 44.106 -81.7   0.00  0.541
## 4   4.977 1.009 -0.04052            4 44.421 -80.0   1.74  0.227
## 6   4.958 1.002           0.001402  4 44.107 -79.3   2.37  0.166
## 8   4.974 1.009 -0.04095  0.004566  5 44.426 -77.5   4.20  0.066
## 1   5.468                           2 -7.060  18.4 100.07  0.000
## 3   5.408        0.11250            3 -6.738  20.0 101.69  0.000
## 5   5.477                -0.017680  3 -7.051  20.6 102.31  0.000
## 7   5.420        0.11480 -0.026160  4 -6.718  22.3 104.02  0.000
## Models ranked by AICc(x) 
## 
## [[58]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik  AICc  delta weight
## 4   5.018 0.9862 -0.08939          4 50.385 -91.9   0.00  0.432
## 2   4.976 0.9752                   3 48.916 -91.3   0.57  0.325
## 8   5.010 0.9861 -0.08752 0.01328  5 50.431 -89.5   2.38  0.131
## 6   4.965 0.9755          0.02206  4 49.038 -89.2   2.69  0.112
## 1   5.437                          2 -9.570  23.4 115.28  0.000
## 3   5.397         0.07477          3 -9.471  25.5 117.34  0.000
## 5   5.431                 0.01107  3 -9.567  25.7 117.54  0.000
## 7   5.386         0.07742 0.01895  4 -9.463  27.8 119.69  0.000
## Models ranked by AICc(x) 
## 
## [[59]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik  AICc  delta weight
## 2   4.940 1.032                   3  44.776 -83.0   0.00  0.506
## 6   4.922 1.027          0.04325  4  45.195 -81.5   1.53  0.236
## 4   4.950 1.035 -0.02225          4  44.889 -80.9   2.14  0.173
## 8   4.934 1.030 -0.03106 0.04899  5  45.413 -79.5   3.57  0.085
## 1   5.434                         2 -15.742  35.7 118.77  0.000
## 5   5.355                0.17310  3 -15.133  36.8 119.82  0.000
## 3   5.369        0.12640          3 -15.408  37.3 120.37  0.000
## 7   5.314        0.09668 0.15380  4 -14.941  38.8 121.80  0.000
## Models ranked by AICc(x) 
## 
## [[60]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2     x3 df  logLik  AICc delta weight
## 6   4.868 1.025          0.1230  4  35.187 -61.5  0.00  0.504
## 2   4.924 1.041                  3  33.179 -59.8  1.65  0.221
## 8   4.887 1.034 -0.03988 0.1220  5  35.429 -59.5  1.99  0.187
## 4   4.944 1.049 -0.04266         4  33.436 -58.0  3.50  0.088
## 5   5.237                0.2499  3 -12.829  32.2 93.67  0.000
## 1   5.364                        2 -14.080  32.4 93.90  0.000
## 7   5.151        0.15150 0.2497  4 -12.292  33.5 94.96  0.000
## 3   5.278        0.15170         3 -13.568  33.7 95.14  0.000
## Models ranked by AICc(x) 
## 
## [[61]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.946 1.040                    3  45.413 -84.3   0.00  0.415
## 4   4.978 1.046 -0.06716           4  46.379 -83.9   0.44  0.334
## 6   4.959 1.038          -0.02275  4  45.527 -82.2   2.14  0.142
## 8   4.991 1.043 -0.06699 -0.02227  5  46.493 -81.6   2.68  0.109
## 1   5.449                          2 -12.449  29.2 113.46  0.000
## 5   5.521                -0.12940  3 -12.079  30.7 114.99  0.000
## 3   5.438        0.02103           3 -12.440  31.4 115.71  0.000
## 7   5.510        0.02080 -0.12940  4 -12.070  33.0 117.33  0.000
## Models ranked by AICc(x) 
## 
## [[62]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.954 0.9675                    3  49.039 -91.6   0.00  0.522
## 4   4.968 0.9676 -0.03068           4  49.277 -89.7   1.89  0.203
## 6   4.968 0.9669          -0.02869  4  49.233 -89.6   1.98  0.194
## 8   4.991 0.9669 -0.03839 -0.03722  5  49.592 -87.8   3.74  0.081
## 1   5.396                           2 -11.166  26.6 118.14  0.000
## 5   5.421                 -0.05041  3 -11.112  28.7 120.30  0.000
## 3   5.409        -0.02744           3 -11.149  28.8 120.38  0.000
## 7   5.444        -0.03971 -0.05924  4 -11.078  31.0 122.60  0.000
## Models ranked by AICc(x) 
## 
## [[63]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1      x2      x3 df  logLik  AICc  delta weight
## 4   5.026 0.9509 -0.1091          4  43.583 -78.3   0.00  0.416
## 2   4.960 0.9611                  3  41.901 -77.3   1.00  0.253
## 8   5.004 0.9447 -0.1122 0.05275  5  44.144 -76.9   1.35  0.212
## 6   4.939 0.9558         0.04804  4  42.337 -75.8   2.49  0.120
## 1   5.405                         2 -11.610  27.5 105.75  0.000
## 3   5.539        -0.2406          3 -10.650  27.8 106.10  0.000
## 5   5.324                0.16240  3 -11.015  28.6 106.83  0.000
## 7   5.459        -0.2476 0.16990  4  -9.973  28.8 107.11  0.000
## Models ranked by AICc(x) 
## 
## [[64]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.900 1.080                    3  49.351 -92.2   0.00  0.535
## 4   4.923 1.069 -0.03395           4  49.668 -90.4   1.73  0.225
## 6   4.893 1.081           0.01395  4  49.402 -89.9   2.27  0.172
## 8   4.916 1.070 -0.03340  0.01240  5  49.709 -88.1   4.13  0.068
## 3   5.669       -0.38430           3 -14.701  35.9 128.10  0.000
## 7   5.706       -0.38570 -0.07123  4 -14.598  38.1 130.27  0.000
## 1   5.475                          2 -17.982  40.2 132.40  0.000
## 5   5.506                -0.06272  3 -17.912  42.3 134.53  0.000
## Models ranked by AICc(x) 
## 
## [[65]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc  delta weight
## 4   5.016 0.9740 -0.08765           4 49.375 -89.9   0.00  0.351
## 8   4.972 0.9816 -0.07195  0.06046  5 50.428 -89.5   0.37  0.291
## 6   4.918 0.9963           0.07900  4 48.961 -89.0   0.83  0.232
## 2   4.963 0.9902                    3 47.172 -87.8   2.04  0.126
## 3   5.553        -0.22890           3 -8.091  22.7 112.57  0.000
## 1   5.434                           2 -9.661  23.6 113.44  0.000
## 7   5.581        -0.23900 -0.04185  4 -8.041  25.0 114.83  0.000
## 5   5.425                  0.01667  3 -9.653  25.8 115.69  0.000
## Models ranked by AICc(x) 
## 
## [[66]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.934 1.025                    3  46.864 -87.2   0.00  0.405
## 6   4.968 1.025          -0.06916  4  47.856 -86.8   0.38  0.334
## 4   4.948 1.023 -0.02564           4  46.986 -85.1   2.12  0.140
## 8   4.988 1.023 -0.03373 -0.07259  5  48.074 -84.8   2.42  0.121
## 1   5.507                          2 -19.558  43.4 130.58  0.000
## 3   5.586       -0.15590           3 -19.236  45.0 132.20  0.000
## 5   5.542                -0.07232  3 -19.483  45.5 132.69  0.000
## 7   5.635       -0.16580 -0.08912  4 -19.123  47.1 134.34  0.000
## Models ranked by AICc(x) 
## 
## [[67]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc delta weight
## 4   5.048 0.9151 -0.09138           4 42.304 -75.7  0.00  0.420
## 2   5.001 0.9226                    3 40.866 -75.2  0.51  0.325
## 8   5.055 0.9187 -0.08828 -0.02065  5 42.393 -73.4  2.30  0.133
## 6   5.014 0.9276          -0.03168  4 41.069 -73.2  2.47  0.122
## 1   5.493                           2 -6.849  18.0 93.67  0.000
## 3   5.571        -0.16620           3 -6.150  18.8 94.54  0.000
## 5   5.449                  0.09031  3 -6.600  19.7 95.44  0.000
## 7   5.525        -0.18120  0.11050  4 -5.770  20.4 96.15  0.000
## Models ranked by AICc(x) 
## 
## [[68]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.998 0.9228                    3  42.957 -79.4   0.00  0.506
## 4   5.015 0.9388 -0.05210           4  43.479 -78.1   1.32  0.261
## 6   4.994 0.9223          0.008210  4  42.973 -77.1   2.34  0.157
## 8   5.011 0.9384 -0.05186 0.006638  5  43.489 -75.6   3.78  0.076
## 3   5.434         0.24530           3  -8.617  23.8 103.15  0.000
## 1   5.557                           2 -10.178  24.6 104.00  0.000
## 7   5.403         0.24630 0.060580  4  -8.508  25.9 105.30  0.000
## 5   5.528                 0.057160  3 -10.087  26.7 106.09  0.000
## Models ranked by AICc(x) 
## 
## [[69]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik  AICc  delta weight
## 2   4.947 1.080                   3  49.133 -91.7   0.00  0.533
## 4   4.963 1.076 -0.02927          4  49.383 -89.9   1.87  0.210
## 6   4.936 1.078          0.02378  4  49.267 -89.6   2.10  0.187
## 8   4.952 1.073 -0.02994 0.02477  5  49.530 -87.7   4.05  0.070
## 1   5.554                         2 -17.138  38.5 130.27  0.000
## 3   5.635       -0.17270          3 -16.506  39.5 131.28  0.000
## 5   5.476                0.14930  3 -16.758  40.0 131.78  0.000
## 7   5.556       -0.17470 0.15210  4 -16.102  41.1 132.84  0.000
## Models ranked by AICc(x) 
## 
## [[70]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik  AICc  delta weight
## 4   4.978 1.0050 -0.06909           4  52.832 -96.8   0.00  0.299
## 8   5.017 0.9974 -0.06982 -0.06268  5  53.987 -96.6   0.17  0.276
## 2   4.948 1.0090                    3  51.368 -96.2   0.56  0.226
## 6   4.987 1.0010          -0.06179  4  52.425 -96.0   0.82  0.199
## 1   5.454                           2 -14.662  33.6 130.35  0.000
## 5   5.571                 -0.20660  3 -13.808  34.1 130.91  0.000
## 3   5.505        -0.12870           3 -14.306  35.1 131.91  0.000
## 7   5.623        -0.12960 -0.20720  4 -13.435  35.8 132.53  0.000
## Models ranked by AICc(x) 
## 
## [[71]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.945 1.038                    3  44.323 -82.1   0.00  0.351
## 6   4.983 1.037          -0.07068  4  45.461 -82.0   0.09  0.335
## 4   4.975 1.028 -0.04882           4  44.844 -80.8   1.33  0.181
## 8   5.003 1.030 -0.03752 -0.06427  5  45.772 -80.2   1.94  0.133
## 3   5.587       -0.28130           3 -15.643  37.8 119.93  0.000
## 1   5.444                          2 -17.223  38.7 120.83  0.000
## 7   5.598       -0.27700 -0.02539  4 -15.630  40.1 122.27  0.000
## 5   5.483                -0.07281  3 -17.122  40.8 122.89  0.000
## Models ranked by AICc(x) 
## 
## [[72]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik  AICc  delta weight
## 4   5.021 0.9527 -0.09373          4  48.879 -88.9   0.00  0.523
## 2   4.974 0.9725                   3  46.837 -87.2   1.72  0.222
## 8   5.009 0.9485 -0.09459 0.02989  5  49.046 -86.7   2.14  0.179
## 6   4.963 0.9690          0.02632  4  46.956 -85.0   3.84  0.076
## 3   5.601        -0.31480          3 -10.270  27.1 115.93  0.000
## 7   5.496        -0.31400 0.21620  4  -9.415  27.7 116.59  0.000
## 1   5.476                          2 -12.533  29.3 118.19  0.000
## 5   5.370                 0.21780  3 -11.742  30.0 118.87  0.000
## Models ranked by AICc(x) 
## 
## [[73]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik  AICc  delta weight
## 6   4.912 1.0020          0.08407  4 48.833 -88.8   0.00  0.449
## 2   4.959 0.9995                   3 47.203 -87.9   0.89  0.287
## 8   4.923 1.0020 -0.03540 0.09356  5 49.121 -86.9   1.90  0.174
## 4   4.964 0.9992 -0.01109          4 47.231 -85.6   3.20  0.090
## 1   5.438                          2 -6.478  17.2 105.99  0.000
## 5   5.408                 0.05481  3 -6.400  19.3 108.10  0.000
## 3   5.452        -0.03269          3 -6.450  19.4 108.20  0.000
## 7   5.423        -0.05050 0.06838  4 -6.336  21.6 110.34  0.000
## Models ranked by AICc(x) 
## 
## [[74]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc  delta weight
## 4   5.024 0.8975 -0.07234           4 47.963 -87.0   0.00  0.369
## 2   4.981 0.9013                    3 46.757 -87.0   0.04  0.361
## 6   4.995 0.9090          -0.04133  4 47.076 -85.3   1.77  0.152
## 8   5.028 0.9021 -0.06715 -0.02280  5 48.058 -84.8   2.28  0.118
## 1   5.451                           2 -9.550  23.4 110.39  0.000
## 5   5.371                  0.18750  3 -8.820  24.2 111.20  0.000
## 3   5.521        -0.12580           3 -9.172  24.9 111.90  0.000
## 7   5.451        -0.17570  0.23150  4 -8.096  25.1 112.12  0.000
## Models ranked by AICc(x) 
## 
## [[75]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc  delta weight
## 2   4.954 0.9875                    3 50.653 -94.8   0.00  0.554
## 4   4.937 0.9962  0.02651           4 50.861 -92.8   1.95  0.209
## 6   4.958 0.9908          -0.01014  4 50.677 -92.5   2.32  0.174
## 8   4.942 1.0020  0.02851 -0.01495  5 50.912 -90.5   4.32  0.064
## 7   5.347        -0.19600  0.26200  4 -0.478   9.8 104.63  0.000
## 5   5.257                  0.24850  3 -1.996  10.5 105.30  0.000
## 3   5.490        -0.18160           3 -2.629  11.8 106.56  0.000
## 1   5.399                           2 -3.836  11.9 106.71  0.000
## Models ranked by AICc(x) 
## 
## [[76]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik  AICc  delta weight
## 2   4.947 1.037                     3  37.109 -67.7   0.00  0.417
## 4   4.984 1.042 -0.08301            4  38.111 -67.3   0.36  0.348
## 6   4.948 1.037          -0.001507  4  37.110 -65.3   2.37  0.128
## 8   4.998 1.039 -0.08792 -0.020320  5  38.177 -65.0   2.71  0.108
## 1   5.467                           2 -18.186  40.6 108.32  0.000
## 5   5.568                -0.214400  3 -17.331  41.2 108.88  0.000
## 3   5.469       -0.00578            3 -18.185  42.9 110.59  0.000
## 7   5.605       -0.06376 -0.228200  4 -17.268  43.4 111.12  0.000
## Models ranked by AICc(x) 
## 
## [[77]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik  AICc  delta weight
## 2   5.045 0.9173                     3 47.795 -89.1   0.00  0.351
## 4   5.064 0.9391 -0.07109            4 48.779 -88.7   0.40  0.287
## 6   5.017 0.9215           0.054070  4 48.464 -88.0   1.03  0.209
## 8   5.036 0.9422 -0.06806  0.050620  5 49.386 -87.4   1.66  0.153
## 3   5.433         0.25140            3 -5.681  17.9 106.95  0.000
## 1   5.540                            2 -7.221  18.7 107.77  0.000
## 7   5.435         0.25120 -0.002549  4 -5.681  20.3 109.32  0.000
## 5   5.551                 -0.021530  3 -7.209  20.9 110.01  0.000
## Models ranked by AICc(x) 
## 
## [[78]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 4   4.935 1.097 -0.09783           4  42.896 -76.9   0.00  0.478
## 2   4.883 1.098                    3  41.179 -75.8   1.07  0.280
## 8   4.927 1.100 -0.09580  0.01287  5  42.929 -74.5   2.41  0.143
## 6   4.868 1.103           0.02678  4  41.315 -73.7   3.16  0.098
## 1   5.427                          2 -16.710  37.7 114.58  0.000
## 5   5.499                -0.15490  3 -16.246  39.0 115.92  0.000
## 3   5.484       -0.10740           3 -16.512  39.5 116.45  0.000
## 7   5.580       -0.13470 -0.17380  4 -15.934  40.8 117.66  0.000
## Models ranked by AICc(x) 
## 
## [[79]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1        x2      x3 df logLik  AICc  delta weight
## 2   4.956 1.025                    3 46.098 -85.7   0.00  0.489
## 6   4.931 1.022           0.05302  4 46.724 -84.6   1.11  0.280
## 4   4.958 1.025 -0.003241          4 46.100 -83.3   2.36  0.150
## 8   4.933 1.022 -0.004163 0.05309  5 46.728 -82.1   3.58  0.082
## 1   5.475                          2 -9.007  22.3 107.94  0.000
## 5   5.425                 0.10100  3 -8.757  24.0 109.71  0.000
## 3   5.488       -0.028000          3 -8.989  24.5 110.17  0.000
## 7   5.438       -0.029620 0.10140  4 -8.737  26.4 112.04  0.000
## Models ranked by AICc(x) 
## 
## [[80]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik  AICc  delta weight
## 4   5.000 0.9988 -0.09770          4  46.633 -84.4   0.00  0.475
## 2   4.943 1.0040                   3  44.772 -83.0   1.36  0.241
## 8   4.979 0.9949 -0.09194 0.03432  5  46.836 -82.3   2.07  0.169
## 6   4.917 0.9976          0.05198  4  45.220 -81.6   2.83  0.116
## 1   5.422                          2 -10.864  26.0 110.36  0.000
## 5   5.307                 0.20110  3 -10.121  26.8 111.14  0.000
## 3   5.508        -0.15560          3 -10.366  27.3 111.63  0.000
## 7   5.390        -0.12480 0.17660  4  -9.804  28.5 112.87  0.000
## Models ranked by AICc(x) 
## 
## [[81]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc  delta weight
## 2   4.956 0.9552                    3 46.934 -87.3   0.00  0.479
## 6   4.978 0.9524          -0.04692  4 47.524 -86.2   1.19  0.264
## 4   4.973 0.9489 -0.02604           4 47.066 -85.2   2.10  0.167
## 8   4.997 0.9456 -0.02772 -0.04763  5 47.677 -84.0   3.36  0.089
## 3   5.596        -0.25330           3 -4.685  15.9 103.24  0.000
## 1   5.461                           2 -6.302  16.9 104.21  0.000
## 7   5.639        -0.25510 -0.09428  4 -4.384  17.7 105.00  0.000
## 5   5.502                 -0.09053  3 -6.042  18.6 105.95  0.000
## Models ranked by AICc(x) 
## 
## [[82]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc  delta weight
## 2   4.951 0.9705                    3 47.713 -88.9   0.00  0.485
## 4   4.977 0.9727 -0.05457           4 48.359 -87.8   1.08  0.283
## 6   4.950 0.9701          0.002117  4 47.714 -86.5   2.36  0.149
## 8   4.976 0.9721 -0.05463 0.003078  5 48.362 -85.4   3.54  0.082
## 1   5.420                           2 -8.120  20.5 109.40  0.000
## 5   5.345                 0.153600  3 -7.435  21.4 110.30  0.000
## 3   5.428        -0.01541           3 -8.115  22.8 111.66  0.000
## 7   5.355        -0.01986 0.154100  4 -7.426  23.7 112.65  0.000
## Models ranked by AICc(x) 
## 
## [[83]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik  AICc  delta weight
## 2   4.927 1.055                   3  45.749 -85.0   0.00  0.452
## 4   4.958 1.065 -0.06610          4  46.413 -83.9   1.04  0.269
## 6   4.909 1.054          0.03484  4  46.000 -83.1   1.86  0.178
## 8   4.940 1.064 -0.06635 0.03518  5  46.676 -82.0   2.99  0.101
## 1   5.412                         2 -15.552  35.4 120.34  0.000
## 3   5.316        0.17880          3 -15.121  36.8 121.74  0.000
## 5   5.369                0.07719  3 -15.446  37.4 122.39  0.000
## 7   5.276        0.17770 0.07520  4 -15.019  38.9 123.90  0.000
## Models ranked by AICc(x) 
## 
## [[84]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik  AICc  delta weight
## 2   4.925 1.013                   3  44.551 -82.6   0.00  0.435
## 4   4.959 1.022 -0.06826          4  45.418 -81.9   0.63  0.317
## 6   4.916 1.007          0.02414  4  44.658 -80.4   2.15  0.148
## 8   4.950 1.017 -0.06718 0.02065  5  45.499 -79.6   2.95  0.100
## 5   5.236                0.29290  3  -9.728  26.0 108.56  0.000
## 1   5.382                         2 -11.582  27.4 110.00  0.000
## 7   5.188        0.08561 0.29410  4  -9.571  28.0 110.61  0.000
## 3   5.337        0.08162          3 -11.450  29.4 112.00  0.000
## Models ranked by AICc(x) 
## 
## [[85]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1      x2        x3 df logLik  AICc delta weight
## 4   5.056 0.9252 -0.0888            4 42.736 -76.6  0.00  0.400
## 2   5.018 0.9032                    3 41.315 -76.1  0.47  0.316
## 6   5.040 0.9058         -0.051430  4 41.765 -74.6  1.94  0.152
## 8   5.065 0.9247 -0.0810 -0.027810  5 42.863 -74.4  2.22  0.132
## 1   5.430                           2 -5.284  14.8 91.41  0.000
## 3   5.366         0.1183            3 -4.878  16.3 92.86  0.000
## 5   5.433                -0.005106  3 -5.283  17.1 93.67  0.000
## 7   5.379         0.1307 -0.044750  4 -4.830  18.5 95.13  0.000
## Models ranked by AICc(x) 
## 
## [[86]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2      x3 df logLik  AICc delta weight
## 2   5.031 0.8566                    3 37.649 -68.8  0.00  0.407
## 6   4.991 0.8590           0.08335  4 38.710 -68.5  0.25  0.360
## 4   5.033 0.8594 -0.008172          4 37.660 -66.4  2.35  0.126
## 8   4.994 0.8630 -0.011920 0.08390  5 38.733 -66.1  2.67  0.107
## 3   5.337         0.243100          3 -2.372  11.3 80.04  0.000
## 1   5.449                           2 -4.352  13.0 81.74  0.000
## 7   5.314         0.241500 0.05010  4 -2.297  13.5 82.26  0.000
## 5   5.421                  0.05898  3 -4.254  15.0 83.81  0.000
## Models ranked by AICc(x) 
## 
## [[87]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 4   4.986 1.035 -0.08887           4  46.771 -84.7   0.00  0.454
## 2   4.933 1.046                    3  45.126 -83.7   0.92  0.287
## 8   4.997 1.034 -0.08742 -0.02492  5  46.917 -82.5   2.18  0.153
## 6   4.948 1.044          -0.02956  4  45.320 -81.8   2.90  0.106
## 1   5.508                          2 -15.053  34.4 119.02  0.000
## 3   5.628       -0.22680           3 -14.087  34.7 119.35  0.000
## 5   5.560                -0.11080  3 -14.807  36.1 120.79  0.000
## 7   5.670       -0.22020 -0.09720  4 -13.891  36.7 121.32  0.000
## Models ranked by AICc(x) 
## 
## [[88]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik  AICc  delta weight
## 4   5.001 1.043 -0.09638            4  42.238 -75.6   0.00  0.445
## 2   4.951 1.039                     3  40.741 -75.0   0.63  0.325
## 8   5.005 1.043 -0.09689 -0.007318  5  42.250 -73.1   2.45  0.131
## 6   4.951 1.039          -0.002066  4  40.742 -72.6   2.99  0.100
## 1   5.508                           2 -16.325  36.9 112.49  0.000
## 3   5.537       -0.05256            3 -16.281  39.1 114.67  0.000
## 5   5.502                 0.014220  3 -16.321  39.2 114.75  0.000
## 7   5.531       -0.05176  0.011440  4 -16.279  41.4 117.03  0.000
## Models ranked by AICc(x) 
## 
## [[89]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df logLik  AICc  delta weight
## 4   4.979 1.000 -0.07601            4 51.331 -93.8   0.00  0.446
## 2   4.935 1.004                     3 49.812 -93.1   0.67  0.319
## 8   4.982 1.001 -0.07515 -0.005722  5 51.340 -91.3   2.46  0.131
## 6   4.944 1.006          -0.016350  4 49.885 -90.9   2.89  0.105
## 1   5.516                           2 -9.989  24.2 118.01  0.000
## 3   5.587       -0.12960            3 -9.593  25.7 119.48  0.000
## 5   5.488                 0.050550  3 -9.926  26.4 120.15  0.000
## 7   5.554       -0.13970  0.069700  4 -9.473  27.8 121.61  0.000
## Models ranked by AICc(x) 
## 
## [[90]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik  AICc  delta weight
## 4   5.008 0.9813 -0.07830           4  42.056 -75.2   0.00  0.372
## 2   4.968 0.9724                    3  40.711 -74.9   0.32  0.316
## 8   4.978 0.9925 -0.08310  0.05196  5  42.559 -73.8   1.47  0.178
## 6   4.941 0.9812           0.04266  4  41.034 -73.2   2.04  0.134
## 1   5.449                           2 -10.056  24.4  99.59  0.000
## 5   5.527                 -0.14930  3  -9.511  25.5 100.77  0.000
## 3   5.442         0.01186           3 -10.052  26.6 101.85  0.000
## 7   5.515         0.02284 -0.15130  4  -9.496  27.9 103.11  0.000
## Models ranked by AICc(x) 
## 
## [[91]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 4   4.948 1.085 -0.09278           4  43.522 -78.2   0.00  0.490
## 2   4.912 1.068                    3  41.736 -77.0   1.20  0.268
## 8   4.953 1.086 -0.09096 -0.01564  5  43.559 -75.8   2.40  0.148
## 6   4.925 1.070          -0.03035  4  41.869 -74.8   3.31  0.094
## 1   5.454                          2 -15.042  34.3 112.49  0.000
## 3   5.410        0.09192           3 -14.861  36.2 114.40  0.000
## 5   5.409                 0.09762  3 -14.898  36.3 114.47  0.000
## 7   5.378        0.08130  0.08283  4 -14.759  38.4 116.56  0.000
## Models ranked by AICc(x) 
## 
## [[92]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 4   4.962 1.071 -0.09261           4  49.136 -89.4   0.00  0.416
## 2   4.920 1.060                    3  47.599 -88.7   0.71  0.292
## 8   4.976 1.075 -0.09373 -0.03505  5  49.487 -87.6   1.77  0.171
## 6   4.932 1.064          -0.03310  4  47.893 -86.9   2.49  0.120
## 1   5.479                          2 -15.029  34.3 123.70  0.000
## 5   5.440                 0.08707  3 -14.861  36.2 125.63  0.000
## 3   5.437        0.08125           3 -14.933  36.4 125.77  0.000
## 7   5.397        0.08228  0.08770  4 -14.762  38.4 127.80  0.000
## Models ranked by AICc(x) 
## 
## [[93]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.990 0.9752                    3  39.309 -72.1   0.00  0.456
## 4   5.035 0.9639 -0.07508           4  40.079 -71.3   0.83  0.302
## 6   4.997 0.9778          -0.01723  4  39.361 -69.8   2.26  0.147
## 8   5.046 0.9669 -0.07677 -0.02180  5  40.165 -69.0   3.13  0.095
## 3   5.665        -0.26620           3 -11.306  29.1 101.23  0.000
## 1   5.525                           2 -12.572  29.4 101.49  0.000
## 5   5.457                  0.13040  3 -12.185  30.9 102.99  0.000
## 7   5.601        -0.25470  0.10980  4 -11.020  30.9 103.02  0.000
## Models ranked by AICc(x) 
## 
## [[94]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.986 0.9597                    3  36.417 -66.3   0.00  0.366
## 4   5.023 0.9736 -0.09122           4  37.581 -66.3   0.04  0.359
## 6   4.964 0.9613          0.044080  4  36.740 -64.6   1.72  0.155
## 8   5.006 0.9737 -0.08496 0.028710  5  37.718 -64.1   2.24  0.120
## 1   5.469                           2 -12.698  29.7  95.96  0.000
## 3   5.428         0.08478           3 -12.556  31.6  97.95  0.000
## 5   5.465                 0.008931  3 -12.696  31.9  98.23  0.000
## 7   5.413         0.09042 0.025780  4 -12.541  34.0 100.28  0.000
## Models ranked by AICc(x) 
## 
## [[95]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik  AICc  delta weight
## 2   4.902 1.066                   3  44.590 -82.7   0.00  0.553
## 4   4.917 1.060 -0.02358          4  44.724 -80.6   2.10  0.193
## 6   4.890 1.065          0.02525  4  44.717 -80.5   2.11  0.192
## 8   4.905 1.060 -0.02139 0.02276  5  44.826 -78.3   4.37  0.062
## 3   5.579       -0.22530          3 -12.026  30.6 113.23  0.000
## 1   5.461                         2 -13.314  30.9 113.54  0.000
## 7   5.567       -0.22310 0.02285  4 -12.015  32.9 115.58  0.000
## 5   5.437                0.05001  3 -13.265  33.1 115.71  0.000
## Models ranked by AICc(x) 
## 
## [[96]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik  AICc  delta weight
## 4   5.028 0.9527 -0.10240          4  42.930 -77.0   0.00  0.484
## 2   4.960 0.9744                   3  41.167 -75.8   1.16  0.271
## 8   5.021 0.9511 -0.09964 0.01292  5  42.960 -74.6   2.41  0.145
## 6   4.947 0.9689          0.03233  4  41.351 -73.8   3.16  0.100
## 3   5.611        -0.31790          3  -8.254  23.0 100.00  0.000
## 7   5.527        -0.28600 0.13340  4  -7.828  24.5 101.52  0.000
## 1   5.432                          2 -10.536  25.3 102.30  0.000
## 5   5.334                 0.19790  3  -9.623  25.8 102.74  0.000
## Models ranked by AICc(x) 
## 
## [[97]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik  AICc  delta weight
## 4   5.027 0.9251 -0.07003          4 51.979 -95.1   0.00  0.375
## 2   4.993 0.9229                   3 50.692 -94.9   0.21  0.338
## 6   4.973 0.9233          0.04000  4 51.148 -93.4   1.66  0.163
## 8   5.012 0.9251 -0.06315 0.02248  5 52.117 -92.9   2.20  0.125
## 1   5.437                          2 -8.451  21.2 116.23  0.000
## 3   5.456        -0.03802          3 -8.417  23.4 118.42  0.000
## 5   5.422                 0.03004  3 -8.427  23.4 118.45  0.000
## 7   5.442        -0.03150 0.02130  4 -8.406  25.7 120.77  0.000
## Models ranked by AICc(x) 
## 
## [[98]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df logLik  AICc  delta weight
## 2   4.950 1.009                    3 44.154 -81.8   0.00  0.432
## 4   4.977 1.017 -0.06749           4 45.090 -81.3   0.50  0.337
## 6   4.948 1.008          0.004402  4 44.158 -79.4   2.36  0.133
## 8   4.975 1.016 -0.06750 0.004538  5 45.094 -78.8   2.96  0.098
## 1   5.416                          2 -7.040  18.3 100.12  0.000
## 5   5.355                0.116000  3 -6.703  19.9 101.71  0.000
## 3   5.403        0.02976           3 -7.017  20.6 102.34  0.000
## 7   5.342        0.02812 0.115600  4 -6.681  22.3 104.04  0.000
## Models ranked by AICc(x) 
## 
## [[99]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc delta weight
## 2   4.966 0.9751                    3 37.825 -69.1  0.00  0.406
## 4   5.006 0.9687 -0.07707           4 38.780 -68.7  0.46  0.323
## 6   4.940 0.9853           0.04388  4 38.091 -67.3  1.83  0.162
## 8   4.986 0.9764 -0.07237  0.03147  5 38.919 -66.5  2.65  0.108
## 1   5.420                           2 -9.987  24.2 93.36  0.000
## 5   5.512                 -0.19440  3 -9.161  24.8 93.97  0.000
## 3   5.496        -0.15420           3 -9.423  25.4 94.50  0.000
## 7   5.614        -0.18280 -0.22030  4 -8.352  25.6 94.72  0.000
## Models ranked by AICc(x) 
## 
## [[100]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik  AICc  delta weight
## 2   4.953 1.056                   3  37.494 -68.5   0.00  0.395
## 6   4.909 1.056          0.07830  4  38.516 -68.1   0.32  0.336
## 4   4.978 1.049 -0.03808          4  37.699 -66.5   1.96  0.149
## 8   4.934 1.049 -0.03760 0.07810  5  38.725 -66.1   2.38  0.120
## 3   5.705       -0.28970          3 -16.482  39.5 107.95  0.000
## 1   5.541                         2 -17.877  40.0 108.48  0.000
## 7   5.658       -0.28910 0.08282  4 -16.353  41.6 110.06  0.000
## 5   5.493                0.08469  3 -17.749  42.0 110.49  0.000
## Models ranked by AICc(x) 
## 
## [[101]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik  AICc  delta weight
## 4   5.037 0.9321 -0.08360            4 51.122 -93.4   0.00  0.467
## 2   5.000 0.9362                     3 49.501 -92.5   0.88  0.302
## 8   5.033 0.9327 -0.08521  0.009846  5 51.140 -90.9   2.44  0.138
## 6   5.003 0.9358          -0.007589  4 49.511 -90.1   3.22  0.093
## 1   5.505                            2 -7.603  19.5 112.82  0.000
## 3   5.562        -0.13450            3 -7.184  20.9 114.25  0.000
## 5   5.546                 -0.087400  3 -7.462  21.4 114.80  0.000
## 7   5.586        -0.12420 -0.061600  4 -7.116  23.1 116.48  0.000
## Models ranked by AICc(x) 
## 
## [[102]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik  AICc  delta weight
## 2   5.013 0.9307                    3  45.291 -84.1   0.00  0.516
## 4   5.032 0.9309 -0.04581           4  45.696 -82.5   1.56  0.237
## 6   5.025 0.9276          -0.01884  4  45.373 -81.9   2.20  0.171
## 8   5.045 0.9275 -0.04696 -0.02098  5  45.799 -80.2   3.83  0.076
## 1   5.477                           2 -10.484  25.2 109.28  0.000
## 5   5.569                 -0.17290  3  -9.711  25.9 110.00  0.000
## 3   5.494        -0.03932           3 -10.452  27.4 111.49  0.000
## 7   5.591        -0.04917 -0.17510  4  -9.659  28.2 112.27  0.000
## Models ranked by AICc(x) 
## 
## [[103]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik  AICc  delta weight
## 4   5.001 0.9854 -0.09509          4  47.386 -85.9   0.00  0.505
## 2   4.968 0.9676                   3  45.384 -84.2   1.64  0.222
## 8   4.990 0.9800 -0.09312 0.02973  5  47.604 -83.8   2.04  0.182
## 6   4.955 0.9616          0.03549  4  45.671 -82.5   3.43  0.091
## 1   5.422                          2 -10.459  25.2 111.06  0.000
## 5   5.339                 0.18900  3  -9.551  25.6 111.51  0.000
## 3   5.382         0.09094          3 -10.263  27.0 112.93  0.000
## 7   5.295         0.09711 0.19190  4  -9.319  27.5 113.41  0.000
## Models ranked by AICc(x) 
## 
## [[104]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 6   4.916 1.023           0.10370  4  38.704 -68.5   0.00  0.411
## 2   4.977 1.011                    3  37.150 -67.8   0.74  0.284
## 8   4.936 1.032 -0.05134  0.10320  5  39.100 -66.8   1.68  0.177
## 4   4.997 1.020 -0.05244           4  37.538 -66.2   2.33  0.128
## 1   5.502                          2 -13.932  32.1 100.64  0.000
## 3   5.428        0.15380           3 -13.483  33.5 102.01  0.000
## 5   5.518                -0.03086  3 -13.915  34.4 102.87  0.000
## 7   5.442        0.15300 -0.02564  4 -13.471  35.8 104.35  0.000
## Models ranked by AICc(x) 
## 
## [[105]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 4   4.996 1.013 -0.08508           4  38.146 -67.4   0.00  0.409
## 2   4.946 1.025                    3  36.753 -67.0   0.42  0.332
## 8   5.019 1.013 -0.08902 -0.03719  5  38.359 -65.4   2.05  0.147
## 6   4.960 1.025          -0.02519  4  36.846 -64.8   2.60  0.112
## 1   5.354                          2 -15.301  34.9 102.26  0.000
## 3   5.465       -0.20990           3 -14.233  35.0 102.39  0.000
## 5   5.364                -0.01865  3 -15.295  37.1 104.51  0.000
## 7   5.494       -0.21490 -0.04780  4 -14.189  37.3 104.67  0.000
## Models ranked by AICc(x) 
## 
## [[106]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik  AICc delta weight
## 2   4.956 0.9605                   3 39.157 -71.8  0.00  0.415
## 4   4.987 0.9733 -0.06963          4 40.066 -71.2  0.55  0.315
## 6   4.940 0.9506          0.03927  4 39.418 -69.9  1.85  0.165
## 8   4.973 0.9653 -0.06534 0.02850  5 40.205 -69.0  2.75  0.105
## 5   5.310                 0.25870  3 -8.033  22.6 94.38  0.000
## 1   5.453                          2 -9.780  23.8 95.61  0.000
## 7   5.241         0.11470 0.27160  4 -7.657  24.2 96.00  0.000
## 3   5.406         0.08576          3 -9.582  25.7 97.48  0.000
## Models ranked by AICc(x) 
## 
## [[107]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc delta weight
## 4   5.077 0.9022 -0.09935           4 42.159 -75.4  0.00  0.382
## 8   5.100 0.9201 -0.09863 -0.06410  5 43.084 -74.8  0.62  0.279
## 2   5.031 0.8980                    3 40.301 -74.1  1.35  0.194
## 6   5.055 0.9162          -0.06507  4 41.185 -73.5  1.95  0.144
## 1   5.476                           2 -2.884  10.0 85.45  0.000
## 5   5.422                  0.10510  3 -2.455  11.4 86.86  0.000
## 3   5.509        -0.06927           3 -2.728  12.0 87.41  0.000
## 7   5.456        -0.07145  0.10630  4 -2.287  13.5 88.89  0.000
## Models ranked by AICc(x) 
## 
## [[108]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.961 0.9810                    3  41.017 -75.5   0.00  0.479
## 6   4.985 0.9883          -0.04910  4  41.492 -74.1   1.42  0.236
## 4   4.987 0.9860 -0.04752           4  41.295 -73.7   1.81  0.194
## 8   5.011 0.9932 -0.04787 -0.04931  5  41.779 -72.2   3.32  0.091
## 1   5.438                           2 -12.576  29.4 104.92  0.000
## 5   5.387                  0.09329  3 -12.371  31.3 106.78  0.000
## 3   5.371         0.11330           3 -12.388  31.3 106.81  0.000
## 7   5.322         0.11170  0.09211  4 -12.187  33.3 108.78  0.000
## Models ranked by AICc(x) 
## 
## [[109]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik  AICc delta weight
## 4   5.048 0.9364 -0.10160          4 41.748 -74.6  0.00  0.320
## 8   5.008 0.9353 -0.08512 0.07412  5 42.742 -74.1  0.49  0.251
## 6   4.963 0.9398          0.09217  4 41.501 -74.1  0.49  0.250
## 2   5.005 0.9423                   3 39.983 -73.4  1.16  0.179
## 1   5.502                          2 -8.878  22.0 96.62  0.000
## 3   5.564        -0.15770          3 -8.289  23.1 97.71  0.000
## 5   5.447                 0.11730  3 -8.538  23.6 98.21  0.000
## 7   5.516        -0.13800 0.08779  4 -8.103  25.1 99.70  0.000
## Models ranked by AICc(x) 
## 
## [[110]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1        x2       x3 df  logLik  AICc  delta weight
## 2   4.936 1.013                     3  53.010 -99.5   0.00  0.392
## 4   4.966 1.015 -0.056190           4  54.149 -99.4   0.09  0.376
## 6   4.933 1.012           0.005458  4  53.019 -97.1   2.35  0.121
## 8   4.962 1.015 -0.056320 0.006655  5  54.164 -97.0   2.53  0.111
## 1   5.472                           2 -14.518  33.3 132.79  0.000
## 5   5.422                 0.094430  3 -14.320  35.2 134.66  0.000
## 3   5.476       -0.007721           3 -14.517  35.6 135.05  0.000
## 7   5.427       -0.009971 0.094680  4 -14.317  37.5 137.02  0.000
## Models ranked by AICc(x) 
## 
## [[111]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik  AICc  delta weight
## 4   5.034 0.9195 -0.08751          4 43.835 -78.8   0.00  0.400
## 2   4.993 0.9170                   3 42.371 -78.2   0.56  0.302
## 8   5.009 0.9209 -0.08643 0.04510  5 44.182 -77.0   1.78  0.164
## 6   4.968 0.9185          0.04750  4 42.734 -76.6   2.20  0.133
## 1   5.407                          2 -8.062  20.4  99.16  0.000
## 3   5.435        -0.05952          3 -7.974  22.5 101.25  0.000
## 5   5.401                 0.01235  3 -8.058  22.6 101.42  0.000
## 7   5.430        -0.05926 0.01064  4 -7.971  24.8 103.61  0.000
## Models ranked by AICc(x) 
## 
## [[112]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2       x3 df  logLik  AICc  delta weight
## 2   4.965 0.9773                     3  48.941 -91.4   0.00  0.582
## 6   4.971 0.9772           -0.01136  4  48.969 -89.0   2.31  0.183
## 4   4.969 0.9772 -0.007895           4  48.955 -89.0   2.34  0.181
## 8   4.977 0.9771 -0.010010 -0.01309  5  48.991 -86.6   4.74  0.054
## 1   5.397                            2 -12.174  28.6 119.96  0.000
## 5   5.410                  -0.02357  3 -12.164  30.8 122.21  0.000
## 3   5.405        -0.017760           3 -12.168  30.9 122.22  0.000
## 7   5.423        -0.022190 -0.02739  4 -12.155  33.2 124.56  0.000
## Models ranked by AICc(x) 
## 
## [[113]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik  AICc delta weight
## 4   5.032 0.9355 -0.07624          4 43.330 -77.8  0.00  0.314
## 2   4.989 0.9479                   3 42.013 -77.5  0.27  0.274
## 6   4.961 0.9411          0.07029  4 43.020 -77.2  0.62  0.230
## 8   5.003 0.9314 -0.06652 0.05797  5 44.025 -76.7  1.09  0.182
## 1   5.373                          2 -2.463   9.2 86.95  0.000
## 3   5.457        -0.16920          3 -1.355   9.2 87.00  0.000
## 5   5.315                 0.13240  3 -1.861  10.2 88.02  0.000
## 7   5.403        -0.15120 0.10300  4 -0.989  10.9 88.64  0.000
## Models ranked by AICc(x) 
## 
## [[114]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1      x2        x3 df  logLik  AICc delta weight
## 4   5.022 1.017 -0.1030            4  40.130 -71.4  0.00  0.491
## 2   4.971 1.027                    3  38.355 -70.2  1.18  0.272
## 8   5.026 1.015 -0.1015 -0.008697  5  40.144 -68.9  2.45  0.145
## 6   4.985 1.023         -0.023750  4  38.459 -68.0  3.34  0.092
## 1   5.472                          2 -10.831  25.9 97.29  0.000
## 3   5.560       -0.1970            3  -9.930  26.4 97.75  0.000
## 5   5.561               -0.181500  3  -9.949  26.4 97.79  0.000
## 7   5.623       -0.1685 -0.154600  4  -9.289  27.5 98.84  0.000
## Models ranked by AICc(x) 
## 
## [[115]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.947 1.044                    3  40.509 -74.5   0.00  0.476
## 6   4.975 1.048          -0.05874  4  41.114 -73.3   1.16  0.267
## 4   4.961 1.043 -0.02968           4  40.645 -72.4   2.09  0.167
## 8   4.990 1.047 -0.03143 -0.05956  5  41.271 -71.2   3.32  0.091
## 1   5.489                          2 -14.848  34.0 108.45  0.000
## 3   5.521       -0.07238           3 -14.760  36.0 110.54  0.000
## 5   5.479                 0.01951  3 -14.841  36.2 110.70  0.000
## 7   5.511       -0.07182  0.01747  4 -14.754  38.4 112.89  0.000
## Models ranked by AICc(x) 
## 
## [[116]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1      x2       x3 df  logLik  AICc  delta weight
## 4   4.983 1.058 -0.1073           4  52.654 -96.4   0.00  0.485
## 8   4.958 1.065 -0.1076  0.04076  5  53.067 -94.8   1.65  0.213
## 2   4.952 1.027                   3  50.630 -94.7   1.68  0.209
## 6   4.929 1.033          0.04014  4  50.999 -93.1   3.31  0.093
## 3   5.348        0.3042           3  -9.360  25.2 121.66  0.000
## 1   5.479                         2 -10.911  26.1 122.50  0.000
## 7   5.410        0.2984 -0.11450  4  -9.081  27.1 123.47  0.000
## 5   5.545               -0.12690  3 -10.589  27.7 124.12  0.000
## Models ranked by AICc(x) 
## 
## [[117]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik  AICc  delta weight
## 2   4.940 1.032                   3  49.962 -93.4   0.00  0.390
## 6   4.915 1.015          0.06887  4  50.982 -93.1   0.33  0.331
## 4   4.955 1.036 -0.03097          4  50.194 -91.5   1.90  0.151
## 8   4.930 1.019 -0.03398 0.07053  5  51.273 -91.2   2.22  0.128
## 5   5.319                0.34710  3  -8.924  24.4 117.77  0.000
## 7   5.290        0.06053 0.34250  4  -8.839  26.6 119.97  0.000
## 1   5.492                         2 -11.383  27.0 120.42  0.000
## 3   5.448        0.08447          3 -11.233  29.0 122.39  0.000
## Models ranked by AICc(x) 
## 
## [[118]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 4   4.976 1.015 -0.08411           4  43.817 -78.7   0.00  0.424
## 2   4.927 1.033                    3  42.333 -78.1   0.60  0.314
## 8   4.993 1.008 -0.08181 -0.02748  5  43.963 -76.6   2.18  0.142
## 6   4.951 1.023          -0.03514  4  42.559 -76.2   2.52  0.120
## 7   5.686       -0.22860 -0.25090  4  -7.356  23.6 102.35  0.000
## 5   5.595                -0.28260  3  -8.801  24.1 102.87  0.000
## 3   5.563       -0.26080           3  -8.962  24.4 103.19  0.000
## 1   5.438                          2 -10.746  25.7 104.49  0.000
## Models ranked by AICc(x) 
## 
## [[119]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik  AICc  delta weight
## 4   5.021 0.9861 -0.07386            4 50.389 -91.9   0.00  0.359
## 2   4.986 0.9728                     3 48.969 -91.4   0.47  0.284
## 8   5.061 0.9910 -0.08878 -0.060720  5 51.224 -91.1   0.80  0.240
## 6   5.006 0.9742          -0.036260  4 49.267 -89.6   2.24  0.117
## 1   5.436                            2 -9.783  23.8 115.71  0.000
## 3   5.382         0.09629            3 -9.551  25.6 117.51  0.000
## 5   5.433                  0.004529  3 -9.782  26.1 117.98  0.000
## 7   5.359         0.10380  0.032290  4 -9.529  27.9 119.84  0.000
## Models ranked by AICc(x) 
## 
## [[120]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc  delta weight
## 4   5.017 0.9129 -0.07081           4 54.294 -99.7   0.00  0.388
## 2   4.987 0.8986                    3 53.000 -99.5   0.22  0.348
## 8   5.030 0.9118 -0.07152 -0.02592  5 54.497 -97.6   2.07  0.138
## 6   4.998 0.8974          -0.02420  4 53.168 -97.4   2.25  0.126
## 1   5.445                           2 -8.086  20.4 120.13  0.000
## 3   5.363         0.15590           3 -7.520  21.6 121.26  0.000
## 5   5.478                 -0.07459  3 -7.947  22.4 122.11  0.000
## 7   5.394         0.15320 -0.06917  4 -7.398  23.7 123.38  0.000
## Models ranked by AICc(x) 
## 
## [[121]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.981 0.9679                    3  42.161 -77.8   0.00  0.366
## 6   5.017 0.9656          -0.06196  4  43.026 -77.2   0.64  0.266
## 4   5.008 0.9626 -0.05527           4  42.922 -77.0   0.85  0.240
## 8   5.034 0.9617 -0.04522 -0.05235  5  43.529 -75.7   2.11  0.128
## 1   5.458                           2 -10.115  24.5 102.29  0.000
## 3   5.514        -0.12490           3  -9.635  25.8 103.59  0.000
## 5   5.509                 -0.09178  3  -9.884  26.3 104.09  0.000
## 7   5.546        -0.11180 -0.06770  4  -9.512  27.9 105.71  0.000
## Models ranked by AICc(x) 
## 
## [[122]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik  AICc  delta weight
## 2   4.898 1.090                     3  46.246 -86.0   0.00  0.525
## 4   4.927 1.082 -0.04688            4  46.661 -84.4   1.54  0.243
## 6   4.898 1.090           0.000809  4  46.247 -83.6   2.37  0.161
## 8   4.928 1.082 -0.04703 -0.001948  5  46.662 -82.0   4.01  0.071
## 3   5.630       -0.30430            3 -18.457  43.4 129.41  0.000
## 1   5.472                           2 -19.778  43.8 129.78  0.000
## 7   5.558       -0.29140  0.124400  4 -18.165  45.2 131.19  0.000
## 5   5.394                 0.147800  3 -19.384  45.3 131.26  0.000
## Models ranked by AICc(x) 
## 
## [[123]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   AICc  delta weight
## 2   4.939 1.027                   3  53.286 -100.0   0.00  0.372
## 4   4.965 1.031 -0.06051          4  54.364  -99.8   0.21  0.335
## 6   4.923 1.023          0.03957  4  53.712  -98.5   1.51  0.175
## 8   4.951 1.028 -0.05462 0.02670  5  54.555  -97.7   2.30  0.118
## 1   5.467                         2 -14.465   33.2 133.23  0.000
## 5   5.379                0.18400  3 -13.838   34.2 134.25  0.000
## 3   5.461        0.01342          3 -14.461   35.4 135.49  0.000
## 7   5.348        0.05488 0.19630  4 -13.782   36.5 136.50  0.000
## Models ranked by AICc(x) 
## 
## [[124]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc  delta weight
## 2   4.974 0.9114                    3 53.049 -99.6   0.00  0.553
## 4   4.987 0.9179 -0.02881           4 53.280 -97.7   1.90  0.214
## 6   4.972 0.9113          0.003140  4 53.053 -97.2   2.36  0.170
## 8   4.985 0.9179 -0.02974 0.006277  5 53.296 -95.2   4.35  0.063
## 1   5.433                           2 -5.161  14.6 114.15  0.000
## 3   5.335         0.16910           3 -4.334  15.2 114.77  0.000
## 5   5.423                 0.019620  3 -5.146  16.8 116.39  0.000
## 7   5.335         0.16890 0.001133  4 -4.334  17.6 117.13  0.000
## Models ranked by AICc(x) 
## 
## [[125]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 4   4.971 1.036 -0.08960           4  48.956 -89.0   0.00  0.464
## 2   4.921 1.038                    3  47.262 -88.0   1.02  0.278
## 8   4.977 1.037 -0.08569 -0.01914  5  49.036 -86.7   2.31  0.146
## 6   4.936 1.040          -0.03599  4  47.538 -86.2   2.83  0.112
## 1   5.509                          2 -17.848  40.0 128.97  0.000
## 3   5.580       -0.12770           3 -17.600  41.7 130.74  0.000
## 5   5.498                 0.02486  3 -17.838  42.2 131.22  0.000
## 7   5.562       -0.13820  0.05177  4 -17.559  44.0 133.03  0.000
## Models ranked by AICc(x) 
## 
## [[126]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1        x2       x3 df  logLik  AICc delta weight
## 4   4.974 1.055 -0.109800           4  34.768 -60.6  0.00  0.418
## 2   4.923 1.046                     3  33.400 -60.3  0.37  0.348
## 8   4.975 1.055 -0.110000 -0.00101  5  34.768 -58.2  2.47  0.121
## 6   4.913 1.045            0.02065  4  33.461 -58.0  2.61  0.113
## 1   5.434                           2 -10.074  24.4 85.05  0.000
## 5   5.403                  0.05842  3  -9.988  26.5 87.14  0.000
## 3   5.445       -0.022770           3 -10.063  26.6 87.30  0.000
## 7   5.408       -0.008674  0.05674  4  -9.986  28.9 89.51  0.000
## Models ranked by AICc(x) 
## 
## [[127]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik  AICc  delta weight
## 2   4.990 0.9511                   3 49.510 -92.5   0.00  0.317
## 4   5.025 0.9415 -0.06625          4 50.693 -92.5   0.00  0.317
## 6   4.966 0.9469          0.05062  4 50.205 -91.5   0.98  0.194
## 8   5.002 0.9380 -0.06366 0.04718  5 51.323 -91.3   1.21  0.173
## 1   5.422                          2 -6.794  17.8 110.34  0.000
## 3   5.509        -0.18580          3 -5.801  18.1 110.62  0.000
## 5   5.362                 0.11870  3 -6.392  19.3 111.80  0.000
## 7   5.451        -0.17890 0.10730  4 -5.461  19.8 112.31  0.000
## Models ranked by AICc(x) 
## 
## [[128]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1      x2        x3 df logLik  AICc  delta weight
## 2   4.976 0.9566                    3 43.593 -80.7   0.00  0.583
## 4   4.972 0.9528 0.01183            4 43.614 -78.3   2.32  0.182
## 6   4.973 0.9568          0.007163  4 43.605 -78.3   2.34  0.181
## 8   4.970 0.9534 0.01043  0.005368  5 43.620 -75.9   4.79  0.053
## 3   5.204        0.34300            3 -4.683  15.9  96.55  0.000
## 7   5.233        0.35930 -0.073300  4 -4.511  17.9  98.57  0.000
## 1   5.367                           2 -7.427  19.1  99.77  0.000
## 5   5.374                -0.014120  3 -7.421  21.4 102.03  0.000
## Models ranked by AICc(x) 
## 
## [[129]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.956 0.9868                    3  38.085 -69.6   0.00  0.469
## 6   4.915 1.0010           0.07232  4  38.780 -68.7   0.98  0.288
## 4   4.965 0.9858 -0.01738           4  38.130 -67.4   2.28  0.150
## 8   4.926 1.0000 -0.02581  0.07556  5  38.879 -66.4   3.25  0.092
## 1   5.459                           2 -12.463  29.2  98.83  0.000
## 5   5.537                 -0.16500  3 -11.963  30.4 100.10  0.000
## 3   5.496        -0.07842           3 -12.343  31.2 100.86  0.000
## 7   5.561        -0.05904 -0.15720  4 -11.895  32.7 102.33  0.000
## Models ranked by AICc(x) 
## 
## [[130]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc  delta weight
## 4   5.035 0.9549 -0.09670           4 48.198 -87.5   0.00  0.355
## 8   5.074 0.9623 -0.08837 -0.08190  5 49.436 -87.5   0.00  0.355
## 6   5.043 0.9594          -0.09441  4 47.460 -86.0   1.48  0.170
## 2   4.994 0.9505                    3 45.928 -85.3   2.17  0.120
## 1   5.449                           2 -7.374  19.0 106.51  0.000
## 3   5.475        -0.05788           3 -7.282  21.1 108.59  0.000
## 5   5.440                  0.01637  3 -7.369  21.3 108.77  0.000
## 7   5.462        -0.06052  0.02516  4 -7.269  23.4 110.93  0.000
## Models ranked by AICc(x) 
## 
## [[131]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AICc  delta weight
## 2   5.000 0.8938                    3 53.560 -100.6   0.00  0.533
## 4   5.016 0.8959 -0.03420           4 53.871  -98.9   1.75  0.223
## 6   4.990 0.8979           0.01355  4 53.608  -98.3   2.27  0.171
## 8   5.003 0.9030 -0.03909  0.02231  5 53.995  -96.6   3.97  0.073
## 5   5.611                 -0.25670  3 -2.106   10.7 111.33  0.000
## 1   5.480                           2 -4.050   12.4 112.95  0.000
## 7   5.579         0.07899 -0.27130  4 -1.934   12.8 113.35  0.000
## 3   5.468         0.02511           3 -4.033   14.6 115.19  0.000
## Models ranked by AICc(x) 
## 
## [[132]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik  AICc delta weight
## 2   4.983 0.9512                   3 36.785 -67.0  0.00  0.394
## 6   4.952 0.9510          0.06264  4 37.550 -66.2  0.84  0.259
## 4   5.009 0.9613 -0.06032          4 37.359 -65.8  1.22  0.214
## 8   4.978 0.9608 -0.05887 0.06152  5 38.114 -64.9  2.18  0.132
## 1   5.431                          2 -7.953  20.2 87.21  0.000
## 3   5.391         0.07781          3 -7.791  22.1 89.15  0.000
## 5   5.399                 0.06531  3 -7.816  22.2 89.20  0.000
## 7   5.357         0.07931 0.06680  4 -7.646  24.2 91.23  0.000
## Models ranked by AICc(x) 
## 
## [[133]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc delta weight
## 2   5.002 0.9109                    3 39.368 -72.2  0.00  0.347
## 6   5.040 0.9034          -0.07341  4 40.506 -72.1  0.09  0.332
## 4   5.032 0.9047 -0.06447           4 39.907 -70.9  1.29  0.182
## 8   5.062 0.8990 -0.05275 -0.06775  5 40.875 -70.4  1.83  0.139
## 1   5.467                           2 -9.133  22.5 94.74  0.000
## 5   5.538                 -0.15200  3 -8.431  23.4 95.60  0.000
## 3   5.546        -0.18370           3 -8.496  23.5 95.73  0.000
## 7   5.598        -0.15910 -0.13380  4 -7.952  24.8 97.01  0.000
## Models ranked by AICc(x) 
## 
## [[134]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1         x2      x3 df  logLik  AICc  delta weight
## 2   4.936 1.041                     3  46.630 -86.7   0.00  0.511
## 6   4.913 1.031            0.05674  4  47.126 -85.4   1.38  0.257
## 4   4.936 1.041 -0.0008722          4  46.630 -84.4   2.37  0.156
## 8   4.907 1.032  0.0101200 0.05901  5  47.144 -82.9   3.81  0.076
## 5   5.320                  0.30980  3 -10.422  27.4 114.10  0.000
## 1   5.472                           2 -11.938  28.1 114.87  0.000
## 3   5.562       -0.2111000          3 -11.106  28.7 115.47  0.000
## 7   5.404       -0.1527000 0.27030  4  -9.988  28.9 115.60  0.000
## Models ranked by AICc(x) 
## 
## [[135]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2       x3 df logLik  AICc  delta weight
## 6   4.990 0.9773           -0.09196  4 46.152 -83.4   0.00  0.369
## 8   5.022 0.9828 -0.063530 -0.08559  5 47.145 -82.9   0.49  0.289
## 4   4.977 0.9910 -0.072010           4 45.392 -81.9   1.52  0.172
## 2   4.936 0.9854                     3 44.196 -81.9   1.55  0.170
## 1   5.504                            2 -8.347  20.9 104.36  0.000
## 5   5.591                  -0.16250  3 -7.613  21.7 105.16  0.000
## 3   5.509        -0.008922           3 -8.345  23.2 106.63  0.000
## 7   5.587         0.006248 -0.16310  4 -7.612  24.1 107.53  0.000
## Models ranked by AICc(x) 
## 
## [[136]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 4   4.948 1.064 -0.09706           4  43.635 -78.4   0.00  0.411
## 2   4.910 1.050                    3  41.942 -77.4   1.02  0.247
## 8   4.924 1.067 -0.10520 0.052410  5  44.306 -77.2   1.13  0.233
## 6   4.889 1.051          0.040010  4  42.312 -75.7   2.65  0.109
## 1   5.375                          2 -12.854  30.0 108.34  0.000
## 3   5.348        0.05990           3 -12.782  32.1 110.47  0.000
## 5   5.369                0.013400  3 -12.849  32.2 110.60  0.000
## 7   5.345        0.05891 0.006681  4 -12.781  34.5 112.83  0.000
## Models ranked by AICc(x) 
## 
## [[137]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 6   4.980 1.021          -0.08597  4  42.863 -76.8   0.00  0.325
## 2   4.937 1.016                    3  41.466 -76.4   0.43  0.263
## 8   5.021 1.017 -0.07606 -0.08610  5  43.746 -76.1   0.71  0.228
## 4   4.978 1.012 -0.07588           4  42.297 -75.7   1.13  0.184
## 1   5.450                          2 -12.605  29.5 106.30  0.000
## 3   5.524       -0.14660           3 -12.251  31.0 107.86  0.000
## 5   5.462                -0.02229  3 -12.595  31.7 108.55  0.000
## 7   5.536       -0.14670 -0.02302  4 -12.239  33.4 110.20  0.000
## Models ranked by AICc(x) 
## 
## [[138]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik  AICc  delta weight
## 4   5.023 0.9614 -0.09281          4 50.683 -92.5   0.00  0.423
## 8   4.999 0.9508 -0.08207 0.04962  5 51.393 -91.4   1.06  0.250
## 2   4.961 0.9885                   3 48.552 -90.6   1.90  0.164
## 6   4.939 0.9705          0.06511  4 49.732 -90.6   1.90  0.163
## 7   5.554        -0.25390 0.18330  4 -0.444   9.8 102.26  0.000
## 3   5.669        -0.30200          3 -1.685   9.9 102.37  0.000
## 5   5.397                 0.24230  3 -2.515  11.6 104.03  0.000
## 1   5.517                          2 -4.606  13.5 105.94  0.000
## Models ranked by AICc(x) 
## 
## [[139]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik  AICc  delta weight
## 2   4.962 1.0050                   3 48.552 -90.6   0.00  0.460
## 6   4.942 0.9882          0.05384  4 49.127 -89.4   1.22  0.250
## 4   4.978 1.0010 -0.03475          4 48.883 -88.9   1.71  0.196
## 8   4.957 0.9860 -0.02995 0.04982  5 49.374 -87.4   3.20  0.093
## 5   5.243                 0.35810  3 -5.427  17.4 107.96  0.000
## 7   5.283        -0.08329 0.34500  4 -5.210  19.3 109.89  0.000
## 1   5.429                          2 -8.439  21.1 111.72  0.000
## 3   5.479        -0.12580          3 -7.989  22.5 113.08  0.000
## Models ranked by AICc(x) 
## 
## [[140]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 6   4.986 1.042          -0.09927  4  41.461 -74.0   0.00  0.433
## 2   4.930 1.048                    3  39.953 -73.4   0.65  0.313
## 8   4.996 1.043 -0.02214 -0.09621  5  41.555 -71.7   2.29  0.138
## 4   4.946 1.048 -0.03302           4  40.151 -71.4   2.62  0.117
## 1   5.432                          2 -16.893  38.0 112.08  0.000
## 5   5.525                -0.17240  3 -16.433  39.4 113.42  0.000
## 3   5.434       -0.00475           3 -16.893  40.3 114.34  0.000
## 7   5.519        0.01470 -0.17440  4 -16.429  41.7 115.78  0.000
## Models ranked by AICc(x) 
## 
## [[141]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc  delta weight
## 6   5.035 0.9360          -0.07265  4 49.977 -91.1   0.00  0.351
## 2   5.001 0.9242                    3 48.639 -90.8   0.31  0.300
## 8   5.054 0.9572 -0.05419 -0.07605  5 50.637 -89.9   1.15  0.197
## 4   5.016 0.9427 -0.04861           4 49.143 -89.4   1.67  0.152
## 3   5.300         0.26710           3 -2.039  10.6 101.67  0.000
## 1   5.432                           2 -4.219  12.7 103.76  0.000
## 7   5.268         0.26770  0.05846  4 -1.925  12.7 103.80  0.000
## 5   5.402                  0.05605  3 -4.123  14.8 105.83  0.000
## Models ranked by AICc(x) 
## 
## [[142]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1      x2        x3 df logLik  AICc  delta weight
## 4   5.015 0.9726 -0.1037            4 51.430 -94.0   0.00  0.508
## 2   4.966 0.9733                    3 49.551 -92.6   1.39  0.253
## 8   5.011 0.9663 -0.1083 0.0182600  5 51.521 -91.7   2.29  0.161
## 6   4.966 0.9731         0.0006794  4 49.551 -90.2   3.76  0.078
## 5   5.322                0.2644000  3 -5.176  16.9 110.85  0.000
## 7   5.395        -0.1859 0.2914000  4 -4.540  18.0 111.94  0.000
## 1   5.458                           2 -7.357  19.0 112.94  0.000
## 3   5.511        -0.1127            3 -7.136  20.8 114.76  0.000
## Models ranked by AICc(x) 
## 
## [[143]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.943 1.068                    3  51.303 -96.1   0.00  0.440
## 4   4.970 1.072 -0.05411           4  52.166 -95.4   0.64  0.319
## 6   4.935 1.064          0.019180  4  51.395 -93.9   2.18  0.148
## 8   4.969 1.072 -0.05367 0.001545  5  52.167 -93.0   3.11  0.093
## 5   5.446                0.226800  3  -9.097  24.7 120.80  0.000
## 1   5.568                          2 -10.265  24.8 120.87  0.000
## 7   5.393        0.07732 0.250000  4  -8.954  26.8 122.88  0.000
## 3   5.563        0.01013           3 -10.263  27.0 123.13  0.000
## Models ranked by AICc(x) 
## 
## [[144]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2       x3 df logLik  AICc delta weight
## 4   5.029 0.9704 -0.097520           4 35.747 -62.6  0.00  0.389
## 2   4.982 0.9581                     3 34.476 -62.4  0.17  0.356
## 8   5.011 0.9744 -0.096360  0.02903  5 35.872 -60.4  2.22  0.128
## 6   4.963 0.9628            0.03258  4 34.626 -60.4  2.24  0.127
## 1   5.472                            2 -6.898  18.1 80.66  0.000
## 5   5.513                  -0.07868  3 -6.728  20.0 82.58  0.000
## 3   5.467         0.009565           3 -6.895  20.3 82.92  0.000
## 7   5.510         0.005237 -0.07841  4 -6.727  22.3 84.95  0.000
## Models ranked by AICc(x) 
## 
## [[145]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1        x2       x3 df  logLik  AICc  delta weight
## 2   4.947 1.039                     3  50.543 -94.6   0.00  0.443
## 4   4.968 1.043 -0.052180           4  51.366 -93.8   0.72  0.309
## 6   4.953 1.038           -0.01462  4  50.607 -92.3   2.24  0.145
## 8   4.979 1.042 -0.055120 -0.02201  5  51.512 -91.7   2.90  0.104
## 1   5.503                           2 -10.446  25.1 119.71  0.000
## 5   5.525                 -0.05310  3 -10.373  27.3 121.83  0.000
## 3   5.501        0.005133           3 -10.445  27.4 121.98  0.000
## 7   5.526       -0.002116 -0.05339  4 -10.372  29.6 124.20  0.000
## Models ranked by AICc(x) 
## 
## [[146]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AICc  delta weight
## 4   5.010 0.9185 -0.07365           4 54.422 -100.0   0.00  0.470
## 2   4.982 0.9006                    3 52.750  -99.0   0.98  0.289
## 8   5.017 0.9157 -0.07302 -0.01250  5 54.482  -97.6   2.36  0.145
## 6   4.991 0.8972          -0.01556  4 52.837  -96.8   3.17  0.096
## 1   5.388                           2 -6.169   16.6 116.55  0.000
## 5   5.470                 -0.17020  3 -5.135   16.8 116.75  0.000
## 3   5.320         0.13500           3 -5.618   17.8 117.71  0.000
## 7   5.402         0.13470 -0.17000  4 -4.563   18.0 117.97  0.000
## Models ranked by AICc(x) 
## 
## [[147]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df  logLik  AICc  delta weight
## 4   4.997 0.9822 -0.07716            4  51.139 -93.4   0.00  0.442
## 2   4.961 0.9802                     3  49.630 -92.7   0.65  0.319
## 8   4.998 0.9822 -0.07611 -0.003947  5  51.144 -90.9   2.46  0.129
## 6   4.971 0.9801          -0.019000  4  49.750 -90.6   2.78  0.110
## 1   5.432                            2 -14.839  33.9 127.32  0.000
## 3   5.453        -0.04444            3 -14.802  36.1 129.51  0.000
## 5   5.444                 -0.023290  3 -14.825  36.2 129.56  0.000
## 7   5.459        -0.04038 -0.015310  4 -14.797  38.5 131.87  0.000
## Models ranked by AICc(x) 
## 
## [[148]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 6   4.991 1.061          -0.12550  4  38.977 -69.1   0.00  0.420
## 2   4.916 1.057                    3  37.395 -68.3   0.80  0.282
## 8   5.016 1.064 -0.04670 -0.12680  5  39.363 -67.4   1.70  0.179
## 4   4.939 1.059 -0.04461           4  37.725 -66.6   2.50  0.120
## 1   5.461                          2 -18.924  42.1 111.17  0.000
## 5   5.494                -0.05364  3 -18.894  44.3 113.38  0.000
## 3   5.453        0.01643           3 -18.919  44.4 113.43  0.000
## 7   5.486        0.01566 -0.05326  4 -18.890  46.7 115.73  0.000
## Models ranked by AICc(x) 
## 
## [[149]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc  delta weight
## 6   5.035 0.9388          -0.07965  4 50.286 -91.7   0.00  0.439
## 2   4.994 0.9447                    3 48.477 -90.4   1.25  0.235
## 8   5.043 0.9449 -0.03665 -0.07027  5 50.576 -89.8   1.89  0.170
## 4   5.016 0.9536 -0.05936           4 49.257 -89.6   2.06  0.157
## 1   5.446                           2 -9.327  22.9 114.59  0.000
## 5   5.515                 -0.14460  3 -8.748  24.0 115.70  0.000
## 3   5.401         0.10220           3 -9.095  24.7 116.39  0.000
## 7   5.464         0.15750 -0.18310  4 -8.221  25.3 117.01  0.000
## Models ranked by AICc(x) 
## 
## [[150]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df logLik  AICc  delta weight
## 2   4.953 1.042                    3 47.844 -89.2   0.00  0.424
## 4   4.975 1.049 -0.06184           4 48.752 -88.6   0.55  0.322
## 6   4.943 1.044           0.01759  4 47.919 -86.9   2.22  0.140
## 8   4.961 1.054 -0.06666  0.02846  5 48.951 -86.5   2.63  0.114
## 1   5.453                          2 -9.298  22.9 112.02  0.000
## 5   5.502                -0.09914  3 -9.051  24.6 113.79  0.000
## 3   5.430        0.05364           3 -9.228  25.0 114.14  0.000
## 7   5.477        0.07028 -0.10940  4 -8.933  26.8 115.92  0.000
## Models ranked by AICc(x) 
## 
## [[151]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1         x2       x3 df  logLik  AICc  delta weight
## 2   4.929 1.024                      3  49.592 -92.7   0.00  0.392
## 6   4.956 1.017            -0.05117  4  50.344 -91.8   0.86  0.255
## 4   4.944 1.027 -0.0397200           4  50.002 -91.1   1.55  0.181
## 8   4.985 1.020 -0.0577500 -0.06562  5  51.184 -91.0   1.66  0.171
## 1   5.470                            2 -15.260  34.8 127.44  0.000
## 5   5.560                  -0.19770  3 -14.401  35.3 127.99  0.000
## 3   5.446        0.0571500           3 -15.196  36.9 129.58  0.000
## 7   5.559        0.0006701 -0.19750  4 -14.401  37.7 130.35  0.000
## Models ranked by AICc(x) 
## 
## [[152]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2      x3 df logLik  AICc  delta weight
## 6   4.965 0.9150           0.07232  4 52.798 -96.7   0.00  0.316
## 4   5.030 0.9265 -0.071080          4 52.557 -96.2   0.48  0.248
## 2   4.999 0.9209                    3 51.270 -96.0   0.69  0.224
## 8   4.995 0.9205 -0.057130 0.06084  5 53.633 -95.9   0.80  0.212
## 1   5.495                           2 -7.392  19.0 115.75  0.000
## 5   5.421                  0.14480  3 -6.813  20.1 116.85  0.000
## 3   5.490         0.009715          3 -7.390  21.3 118.01  0.000
## 7   5.396         0.043530 0.15330  4 -6.769  22.4 119.13  0.000
## Models ranked by AICc(x) 
## 
## [[153]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc delta weight
## 4   5.004 1.022 -0.11140           4  35.882 -62.9  0.00  0.411
## 2   4.947 1.022                    3  34.361 -62.2  0.68  0.293
## 8   4.975 1.030 -0.12030  0.05684  5  36.326 -61.3  1.59  0.186
## 6   4.924 1.028           0.03968  4  34.568 -60.2  2.63  0.110
## 1   5.501                          2 -11.041  26.3 89.21  0.000
## 3   5.557       -0.11050           3 -10.804  28.1 91.01  0.000
## 5   5.549                -0.09312  3 -10.852  28.2 91.10  0.000
## 7   5.591       -0.09805 -0.07940  4 -10.668  30.2 93.10  0.000
## Models ranked by AICc(x) 
## 
## [[154]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik  AICc  delta weight
## 4   4.948 1.078 -0.09548            4  41.107 -73.3   0.00  0.471
## 2   4.904 1.067                     3  39.471 -72.4   0.90  0.300
## 8   4.951 1.078 -0.09597 -0.005030  5  41.111 -70.9   2.47  0.137
## 6   4.902 1.067           0.004933  4  39.475 -70.1   3.26  0.092
## 1   5.400                           2 -14.445  33.1 106.47  0.000
## 3   5.385        0.02851            3 -14.428  35.4 108.70  0.000
## 5   5.390                 0.019500  3 -14.438  35.4 108.72  0.000
## 7   5.372        0.03066  0.022640  4 -14.419  37.7 111.05  0.000
## Models ranked by AICc(x) 
## 
## [[155]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 4   4.991 1.006 -0.08555           4  43.552 -78.2   0.00  0.340
## 2   4.944 1.007                    3  42.115 -77.7   0.51  0.264
## 6   4.970 1.025          -0.07726  4  43.110 -77.3   0.88  0.218
## 8   5.004 1.019 -0.07328 -0.05968  5  44.145 -76.9   1.29  0.178
## 1   5.524                          2 -11.496  27.2 105.46  0.000
## 5   5.448                 0.16870  3 -10.914  28.3 106.56  0.000
## 3   5.581       -0.10700           3 -11.239  29.0 107.21  0.000
## 7   5.511       -0.14740  0.20140  4 -10.434  29.8 107.97  0.000
## Models ranked by AICc(x) 
## 
## [[156]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.940 1.023                    3  46.905 -87.3   0.00  0.485
## 6   4.916 1.027           0.04638  4  47.466 -86.0   1.25  0.260
## 4   4.957 1.017 -0.02511           4  47.072 -85.3   2.03  0.175
## 8   4.927 1.024 -0.01433  0.04267  5  47.517 -83.7   3.62  0.079
## 3   5.602       -0.21080           3 -10.371  27.3 114.55  0.000
## 1   5.487                          2 -11.579  27.4 114.70  0.000
## 7   5.656       -0.23070 -0.08784  4 -10.179  29.2 116.53  0.000
## 5   5.503                -0.03254  3 -11.553  29.6 116.91  0.000
## Models ranked by AICc(x) 
## 
## [[157]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 4   4.992 1.028 -0.08787           4  48.401 -87.9   0.00  0.420
## 2   4.958 1.007                    3  46.832 -87.1   0.77  0.286
## 8   4.973 1.033 -0.08814  0.03531  5  48.756 -86.1   1.77  0.174
## 6   4.940 1.011           0.03481  4  47.155 -85.4   2.49  0.121
## 1   5.443                          2 -11.440  27.1 115.05  0.000
## 3   5.354        0.18080           3 -10.763  28.0 115.96  0.000
## 5   5.479                -0.07608  3 -11.289  29.1 117.01  0.000
## 7   5.389        0.17890 -0.07238  4 -10.622  30.1 118.05  0.000
## Models ranked by AICc(x) 
## 
## [[158]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 4   4.984 1.013 -0.08151           4  46.775 -84.7   0.00  0.412
## 2   4.935 1.027                    3  45.174 -83.8   0.83  0.271
## 8   4.959 1.017 -0.08383  0.04391  5  47.270 -83.2   1.49  0.196
## 6   4.911 1.031           0.03958  4  45.551 -82.2   2.45  0.121
## 3   5.571       -0.24920           3 -12.609  31.7 116.40  0.000
## 1   5.442                          2 -14.047  32.3 117.01  0.000
## 7   5.590       -0.24660 -0.03871  4 -12.573  34.0 118.70  0.000
## 5   5.472                -0.05527  3 -13.978  34.5 119.14  0.000
## Models ranked by AICc(x) 
## 
## [[159]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik  AICc  delta weight
## 2   5.008 0.9009                   3 43.460 -80.4   0.00  0.474
## 6   4.986 0.9003          0.04620  4 43.935 -79.0   1.42  0.233
## 4   5.029 0.8996 -0.03979          4 43.781 -78.7   1.72  0.200
## 8   5.007 0.8991 -0.03928 0.04580  5 44.255 -77.1   3.25  0.093
## 1   5.440                          2 -9.477  23.2 103.61  0.000
## 3   5.477        -0.07185          3 -9.351  25.2 105.62  0.000
## 5   5.413                 0.05773  3 -9.388  25.3 105.70  0.000
## 7   5.450        -0.07119 0.05698  4 -9.264  27.4 107.82  0.000
## Models ranked by AICc(x) 
## 
## [[160]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 4   4.976 1.025 -0.07746           4  50.745 -92.6   0.00  0.410
## 2   4.941 1.019                    3  49.385 -92.2   0.35  0.343
## 8   4.989 1.029 -0.08493 -0.02504  5  50.917 -90.5   2.13  0.141
## 6   4.943 1.020          -0.00495  4  49.392 -89.9   2.71  0.106
## 1   5.429                          2 -15.138  34.5 127.13  0.000
## 5   5.352                 0.16940  3 -14.508  35.5 128.14  0.000
## 3   5.420        0.01987           3 -15.131  36.8 129.39  0.000
## 7   5.310        0.07176  0.18500  4 -14.424  37.7 130.34  0.000
## Models ranked by AICc(x) 
## 
## [[161]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1        x2       x3 df  logLik  AICc  delta weight
## 4   4.992 1.025 -0.085280           4  49.611 -90.3   0.00  0.500
## 2   4.957 1.018                     3  47.737 -89.0   1.38  0.251
## 8   4.999 1.024 -0.082730 -0.01663  5  49.676 -88.0   2.34  0.155
## 6   4.972 1.016           -0.03054  4  47.949 -87.0   3.32  0.095
## 1   5.470                           2 -12.588  29.4 119.76  0.000
## 5   5.508                 -0.07950  3 -12.460  31.4 121.77  0.000
## 3   5.466        0.006998           3 -12.587  31.7 122.03  0.000
## 7   5.501        0.019260 -0.08264  4 -12.451  33.8 124.12  0.000
## Models ranked by AICc(x) 
## 
## [[162]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik  AICc  delta weight
## 4   4.979 1.047 -0.08855            4  42.953 -77.0   0.00  0.430
## 2   4.936 1.049                     3  41.520 -76.5   0.50  0.335
## 8   4.980 1.047 -0.08804 -0.002809  5  42.955 -74.5   2.47  0.125
## 6   4.944 1.051          -0.018460  4  41.583 -74.3   2.74  0.109
## 1   5.413                           2 -14.147  32.5 109.57  0.000
## 3   5.465       -0.11090            3 -13.910  34.3 111.36  0.000
## 5   5.368                 0.097510  3 -13.954  34.4 111.45  0.000
## 7   5.420       -0.13290  0.120600  4 -13.622  36.1 113.15  0.000
## Models ranked by AICc(x) 
## 
## [[163]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc  delta weight
## 2   4.986 0.9749                    3 53.008 -99.5   0.00  0.453
## 4   5.012 0.9699 -0.05237           4 53.829 -98.8   0.73  0.315
## 6   4.984 0.9737          0.005201  4 53.014 -97.1   2.35  0.140
## 8   5.010 0.9686 -0.05242 0.005810  5 53.837 -96.3   3.18  0.092
## 5   5.379                 0.246000  3 -6.172  18.9 118.36  0.000
## 1   5.509                           2 -7.538  19.3 118.82  0.000
## 7   5.440        -0.13410 0.244300  4 -5.666  20.2 119.71  0.000
## 3   5.570        -0.13660           3 -7.041  20.6 120.10  0.000
## Models ranked by AICc(x) 
## 
## [[164]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df logLik  AICc  delta weight
## 4   4.980 1.067 -0.09363          4 44.745 -80.6   0.00  0.472
## 2   4.930 1.073                   3 43.047 -79.6   1.03  0.282
## 8   4.970 1.063 -0.09429 0.02116  5 44.850 -78.3   2.26  0.152
## 6   4.921 1.070          0.01863  4 43.123 -77.4   3.24  0.093
## 1   5.422                         2 -9.465  23.2 103.79  0.000
## 3   5.497       -0.15030          3 -8.940  24.4 105.00  0.000
## 5   5.351                0.13170  3 -8.988  24.5 105.10  0.000
## 7   5.426       -0.15340 0.13470  4 -8.430  25.7 106.35  0.000
## Models ranked by AICc(x) 
## 
## [[165]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.948 1.024                    3  39.404 -72.3   0.00  0.361
## 6   4.900 1.032           0.09128  4  40.580 -72.3   0.02  0.358
## 4   4.971 1.025 -0.04985           4  39.810 -70.7   1.55  0.166
## 8   4.917 1.032 -0.02669  0.08247  5  40.690 -70.0   2.27  0.116
## 1   5.447                          2 -16.184  36.6 108.91  0.000
## 5   5.463                -0.03133  3 -16.169  38.9 111.15  0.000
## 3   5.460       -0.02578           3 -16.173  38.9 111.15  0.000
## 7   5.487       -0.03819 -0.04390  4 -16.146  41.2 113.47  0.000
## Models ranked by AICc(x) 
## 
## [[166]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik  AICc  delta weight
## 2   4.943 1.004                   3  44.988 -83.5   0.00  0.354
## 4   4.978 1.010 -0.06729          4  45.847 -82.8   0.65  0.256
## 6   4.919 0.997          0.05762  4  45.724 -82.6   0.90  0.226
## 8   4.954 1.003 -0.06852 0.05885  5  46.642 -81.9   1.53  0.164
## 1   5.399                         2 -11.702  27.7 111.11  0.000
## 5   5.316                0.17330  3 -11.004  28.5 111.98  0.000
## 3   5.376        0.04018          3 -11.671  29.9 113.32  0.000
## 7   5.297        0.03441 0.17230  4 -10.980  30.8 114.30  0.000
## Models ranked by AICc(x) 
## 
## [[167]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df  logLik  AICc delta weight
## 2   5.005 0.9150                     3  36.069 -65.6  0.00  0.474
## 4   5.039 0.9249 -0.06753            4  36.779 -64.7  0.95  0.295
## 6   5.004 0.9150           0.001303  4  36.069 -63.2  2.37  0.145
## 8   5.037 0.9251 -0.06761  0.003172  5  36.780 -62.2  3.42  0.086
## 1   5.437                            2 -11.066  26.4 92.00  0.000
## 3   5.393         0.07689            3 -10.924  28.4 93.99  0.000
## 5   5.474                 -0.062980  3 -10.980  28.5 94.10  0.000
## 7   5.430         0.07788 -0.064320  4 -10.835  30.6 96.17  0.000
## Models ranked by AICc(x) 
## 
## [[168]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik  AICc  delta weight
## 2   4.954 0.9768                   3  46.197 -85.9   0.00  0.554
## 4   4.971 0.9739 -0.02663          4  46.377 -83.9   2.01  0.203
## 6   4.946 0.9751          0.01861  4  46.267 -83.6   2.23  0.182
## 8   4.963 0.9728 -0.02478 0.01467  5  46.420 -81.5   4.40  0.061
## 1   5.448                          2 -13.346  30.9 116.82  0.000
## 3   5.520        -0.13200          3 -12.930  32.4 118.25  0.000
## 5   5.383                 0.13480  3 -13.003  32.5 118.40  0.000
## 7   5.456        -0.11650 0.11490  4 -12.683  34.3 120.13  0.000
## Models ranked by AICc(x) 
## 
## [[169]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik  AICc  delta weight
## 4   4.990 0.9993 -0.07529           4  43.308 -77.7   0.00  0.389
## 2   4.954 0.9963                    3  42.056 -77.6   0.14  0.364
## 6   4.939 0.9975           0.02792  4  42.189 -75.5   2.24  0.127
## 8   4.980 1.0000 -0.07346  0.01877  5  43.370 -75.4   2.35  0.120
## 1   5.492                           2 -12.446  29.1 106.87  0.000
## 3   5.512        -0.03845           3 -12.410  31.3 109.07  0.000
## 5   5.502                 -0.02040  3 -12.438  31.4 109.13  0.000
## 7   5.526        -0.04098 -0.02557  4 -12.398  33.7 111.41  0.000
## Models ranked by AICc(x) 
## 
## [[170]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik  AICc  delta weight
## 2   4.958 0.9508                   3 51.223 -95.9   0.00  0.469
## 4   4.981 0.9504 -0.04329          4 51.724 -94.6   1.36  0.237
## 6   4.944 0.9515          0.03142  4 51.505 -94.1   1.80  0.190
## 8   4.967 0.9511 -0.04880 0.03800  5 52.138 -92.9   3.01  0.104
## 1   5.405                          2 -9.666  23.6 119.51  0.000
## 3   5.432        -0.05328          3 -9.600  25.7 121.65  0.000
## 5   5.399                 0.01229  3 -9.662  25.8 121.77  0.000
## 7   5.426        -0.05617 0.01988  4 -9.590  28.1 123.99  0.000
## Models ranked by AICc(x) 
## 
## [[171]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik  AICc  delta weight
## 2   4.961 1.016                   3  47.450 -88.4   0.00  0.408
## 4   4.984 1.016 -0.05053          4  48.242 -87.6   0.78  0.275
## 6   4.941 1.014          0.04152  4  47.866 -86.8   1.54  0.189
## 8   4.964 1.014 -0.05177 0.04341  5  48.711 -86.1   2.32  0.128
## 1   5.492                         2 -13.790  31.8 120.21  0.000
## 5   5.453                0.07971  3 -13.658  33.8 122.22  0.000
## 3   5.515       -0.05144          3 -13.720  34.0 122.34  0.000
## 7   5.476       -0.05377 0.08167  4 -13.581  36.1 124.43  0.000
## Models ranked by AICc(x) 
## 
## [[172]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2       x3 df logLik  AICc delta weight
## 4   5.036 0.9219 -0.109900           4 40.524 -72.2  0.00  0.469
## 8   5.062 0.9217 -0.107400 -0.05798  5 41.022 -70.7  1.48  0.224
## 2   4.989 0.9087                     3 38.489 -70.5  1.70  0.200
## 6   5.020 0.9089           -0.06348  4 39.041 -69.2  2.97  0.107
## 1   5.439                            2 -5.991  16.2 88.40  0.000
## 5   5.469                  -0.06114  3 -5.905  18.3 90.49  0.000
## 3   5.444        -0.009636           3 -5.989  18.5 90.66  0.000
## 7   5.472        -0.007045 -0.06077  4 -5.904  20.7 92.86  0.000
## Models ranked by AICc(x) 
## 
## [[173]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik  AICc delta weight
## 4   4.996 1.0050 -0.09780            4 40.906 -72.9  0.00  0.424
## 2   4.953 0.9987                     3 39.513 -72.5  0.42  0.344
## 8   4.996 1.0040 -0.09822  0.002068  5 40.906 -70.4  2.47  0.123
## 6   4.959 1.0070          -0.017590  4 39.557 -70.2  2.70  0.110
## 5   5.272                  0.310100  3 -1.559   9.6 82.56  0.000
## 7   5.315        -0.11720  0.332600  4 -1.195  11.3 84.20  0.000
## 1   5.445                            2 -4.510  13.3 86.20  0.000
## 3   5.465        -0.04147            3 -4.468  15.5 88.38  0.000
## Models ranked by AICc(x) 
## 
## [[174]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik  AICc  delta weight
## 4   4.985 1.041 -0.09114          4  46.299 -83.7   0.00  0.370
## 2   4.929 1.073                   3  44.652 -82.8   0.93  0.233
## 8   4.961 1.031 -0.08389 0.05496  5  46.999 -82.6   1.07  0.216
## 6   4.907 1.058          0.06474  4  45.580 -82.3   1.44  0.180
## 3   5.667       -0.42490          3  -9.429  25.4 109.09  0.000
## 7   5.556       -0.38650 0.20390  4  -8.357  25.6 109.31  0.000
## 5   5.355                0.27310  3 -11.837  30.2 113.91  0.000
## 1   5.481                         2 -13.547  31.3 115.06  0.000
## Models ranked by AICc(x) 
## 
## [[175]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik  AICc delta weight
## 2   4.994 0.9225                   3 42.601 -78.7  0.00  0.460
## 4   5.019 0.9297 -0.05177          4 43.276 -77.7  1.02  0.277
## 6   4.979 0.9190          0.03102  4 42.791 -76.7  1.99  0.170
## 8   5.005 0.9265 -0.04983 0.02639  5 43.415 -75.5  3.21  0.092
## 1   5.437                          2 -5.502  15.3 93.94  0.000
## 5   5.373                 0.12020  3 -5.080  16.7 95.36  0.000
## 3   5.417         0.03704          3 -5.451  17.4 96.11  0.000
## 7   5.347         0.04469 0.12370  4 -5.006  18.9 97.58  0.000
## Models ranked by AICc(x) 
## 
## [[176]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 4   4.934 1.111 -0.09134           4  50.087 -91.3   0.00  0.349
## 8   4.894 1.122 -0.08726  0.06340  5  51.133 -90.9   0.38  0.289
## 2   4.901 1.096                    3  48.269 -90.0   1.27  0.185
## 6   4.859 1.109           0.06837  4  49.406 -89.9   1.36  0.177
## 1   5.494                          2 -15.469  35.2 126.48  0.000
## 5   5.563                -0.13350  3 -15.124  36.8 128.06  0.000
## 3   5.443        0.11320           3 -15.251  37.0 128.31  0.000
## 7   5.513        0.10120 -0.12490  4 -14.949  38.8 130.07  0.000
## Models ranked by AICc(x) 
## 
## [[177]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik  AICc delta weight
## 4   5.018 0.9781 -0.09367          4 44.904 -80.9  0.00  0.356
## 2   4.982 0.9721                   3 43.447 -80.4  0.55  0.271
## 8   4.994 0.9708 -0.09973 0.06266  5 45.691 -80.0  0.90  0.227
## 6   4.959 0.9655          0.05437  4 44.008 -79.1  1.79  0.145
## 1   5.492                          2 -4.173  12.6 93.52  0.000
## 5   5.419                 0.14880  3 -3.539  13.6 94.52  0.000
## 3   5.506        -0.03579          3 -4.142  14.8 95.73  0.000
## 7   5.439        -0.05169 0.15340  4 -3.474  15.8 96.76  0.000
## Models ranked by AICc(x) 
## 
## [[178]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1      x2        x3 df logLik  AICc  delta weight
## 4   5.007 0.9708 -0.1035            4 47.390 -85.9   0.00  0.456
## 2   4.934 1.0110                    3 45.817 -85.1   0.78  0.309
## 8   5.019 0.9678 -0.1084 -0.017520  5 47.450 -83.5   2.36  0.140
## 6   4.932 1.0120          0.005119  4 45.822 -82.8   3.14  0.095
## 3   5.744        -0.5276            3 -2.595  11.7  97.60  0.000
## 7   5.839        -0.5611 -0.162400  4 -1.875  12.6  98.53  0.000
## 1   5.488                           2 -8.687  21.6 107.52  0.000
## 5   5.517                -0.059880  3 -8.608  23.7 109.63  0.000
## Models ranked by AICc(x) 
## 
## [[179]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.937 1.046                    3  51.625 -96.7   0.00  0.514
## 6   4.953 1.050          -0.04017  4  52.079 -95.3   1.46  0.248
## 4   4.943 1.046 -0.01015           4  51.657 -94.4   2.30  0.163
## 8   4.959 1.049 -0.01146 -0.04058  5  52.121 -92.9   3.85  0.075
## 1   5.446                          2 -16.955  38.2 134.89  0.000
## 3   5.490       -0.08682           3 -16.803  40.1 136.86  0.000
## 5   5.413                 0.07667  3 -16.848  40.2 136.95  0.000
## 7   5.457       -0.08397  0.07302  4 -16.705  42.3 139.03  0.000
## Models ranked by AICc(x) 
## 
## [[180]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik  AICc  delta weight
## 4   5.012 1.026 -0.09968            4  41.274 -73.7   0.00  0.418
## 2   4.956 1.042                     3  39.914 -73.3   0.35  0.351
## 8   5.017 1.025 -0.10130 -0.008181  5  41.285 -71.2   2.45  0.123
## 6   4.952 1.042           0.008079  4  39.924 -71.0   2.70  0.108
## 3   5.608       -0.28740            3 -10.022  26.6 100.22  0.000
## 1   5.470                           2 -11.514  27.3 100.94  0.000
## 7   5.665       -0.30550 -0.103800  4  -9.792  28.5 102.13  0.000
## 5   5.497                -0.058050  3 -11.445  29.4 103.07  0.000
## Models ranked by AICc(x) 
## 
## [[181]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.949 1.031                    3  38.780 -71.0   0.00  0.411
## 4   5.005 1.010 -0.08673           4  39.793 -70.7   0.34  0.347
## 6   4.958 1.030          -0.01913  4  38.839 -68.8   2.25  0.134
## 8   5.015 1.009 -0.08741 -0.02140  5  39.871 -68.4   2.66  0.109
## 3   5.683       -0.36960           3 -10.310  27.1  98.18  0.000
## 7   5.710       -0.37080 -0.05676  4 -10.237  29.4 100.40  0.000
## 1   5.492                          2 -12.891  30.0 101.08  0.000
## 5   5.516                -0.04981  3 -12.840  32.2 103.24  0.000
## Models ranked by AICc(x) 
## 
## [[182]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik  AICc  delta weight
## 4   4.988 1.058 -0.10280          4  50.125 -91.4   0.00  0.497
## 8   4.959 1.059 -0.09665 0.04998  5  50.661 -90.0   1.40  0.246
## 2   4.930 1.065                   3  47.763 -89.0   2.36  0.153
## 6   4.898 1.066          0.06296  4  48.552 -88.2   3.15  0.103
## 1   5.424                         2 -10.410  25.1 116.44  0.000
## 3   5.516       -0.17790          3  -9.740  26.0 117.36  0.000
## 5   5.398                0.05123  3 -10.360  27.2 118.60  0.000
## 7   5.501       -0.17440 0.02794  4  -9.725  28.3 119.70  0.000
## Models ranked by AICc(x) 
## 
## [[183]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik  AICc  delta weight
## 2   4.957 0.9935                     3 46.700 -86.9   0.00  0.551
## 4   4.973 0.9929 -0.03294            4 46.937 -85.0   1.89  0.214
## 6   4.952 0.9939           0.009706  4 46.718 -84.5   2.33  0.172
## 8   4.968 0.9933 -0.03267  0.008582  5 46.952 -82.5   4.34  0.063
## 1   5.479                            2 -9.140  22.5 109.41  0.000
## 3   5.503        -0.04917            3 -9.084  24.7 111.57  0.000
## 5   5.500                 -0.044450  3 -9.099  24.7 111.60  0.000
## 7   5.526        -0.05056 -0.046140  4 -9.039  27.0 113.84  0.000
## Models ranked by AICc(x) 
## 
## [[184]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.892 1.139                    3  45.575 -84.6   0.00  0.537
## 4   4.913 1.131 -0.03496           4  45.796 -82.7   1.92  0.205
## 6   4.880 1.141           0.02192  4  45.716 -82.5   2.09  0.189
## 8   4.902 1.132 -0.03558  0.02253  5  45.946 -80.5   4.10  0.069
## 3   5.567       -0.32320           3 -14.697  35.9 120.54  0.000
## 1   5.401                          2 -16.430  37.1 121.74  0.000
## 7   5.573       -0.32270 -0.01293  4 -14.693  38.3 122.90  0.000
## 5   5.411                -0.02126  3 -16.419  39.4 123.99  0.000
## Models ranked by AICc(x) 
## 
## [[185]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik  AICc  delta weight
## 2   4.941 1.065                     3  36.925 -67.3   0.00  0.414
## 4   4.990 1.042 -0.08677            4  37.943 -67.0   0.33  0.351
## 6   4.948 1.067          -0.016780  4  36.974 -65.1   2.27  0.133
## 8   4.991 1.043 -0.08591 -0.004575  5  37.947 -64.5   2.80  0.102
## 3   5.646       -0.37230            3 -11.347  29.2  96.54  0.000
## 7   5.588       -0.39180  0.141600  4 -10.836  30.6  97.89  0.000
## 1   5.489                           2 -14.067  32.4  99.72  0.000
## 5   5.443                 0.097920  3 -13.846  34.2 101.54  0.000
## Models ranked by AICc(x) 
## 
## [[186]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df  logLik  AICc  delta weight
## 4   5.002 0.9934 -0.08173            4  40.956 -73.0   0.00  0.407
## 2   4.958 0.9948                     3  39.646 -72.8   0.25  0.358
## 8   5.004 0.9929 -0.08099 -0.005365  5  40.961 -70.6   2.47  0.119
## 6   4.969 0.9929          -0.019620  4  39.704 -70.5   2.50  0.116
## 1   5.500                            2 -15.460  35.2 108.20  0.000
## 5   5.571                 -0.149200  3 -15.085  36.7 109.72  0.000
## 3   5.552        -0.09966            3 -15.250  37.0 110.04  0.000
## 7   5.607        -0.08082 -0.135000  4 -14.948  38.8 111.81  0.000
## Models ranked by AICc(x) 
## 
## [[187]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik  AICc  delta weight
## 4   4.955 1.068 -0.08729            4  53.495 -98.1   0.00  0.518
## 2   4.916 1.057                     3  51.600 -96.7   1.42  0.254
## 8   4.956 1.068 -0.08728 -0.001516  5  53.495 -95.6   2.47  0.150
## 6   4.917 1.057          -0.002054  4  51.602 -94.3   3.79  0.078
## 1   5.446                           2 -13.681  31.6 129.72  0.000
## 3   5.413        0.06566            3 -13.604  33.7 131.83  0.000
## 5   5.473                -0.050610  3 -13.628  33.8 131.88  0.000
## 7   5.439        0.06569 -0.050640  4 -13.551  36.0 134.09  0.000
## Models ranked by AICc(x) 
## 
## [[188]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1      x2       x3 df  logLik  AICc  delta weight
## 2   4.959 0.9654                   3  47.770 -89.0   0.00  0.512
## 4   4.943 0.9561 0.03703           4  48.049 -87.2   1.81  0.207
## 6   4.944 0.9663         0.035110  4  48.031 -87.2   1.85  0.203
## 8   4.927 0.9570 0.03717 0.035250  5  48.314 -85.3   3.75  0.078
## 3   5.208        0.32980           3  -9.773  26.1 115.09  0.000
## 1   5.393                          2 -12.046  28.3 117.37  0.000
## 7   5.204        0.32990 0.008457  4  -9.772  28.4 117.45  0.000
## 5   5.391                0.004571  3 -12.046  30.6 119.63  0.000
## Models ranked by AICc(x) 
## 
## [[189]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik  AICc delta weight
## 2   5.019 0.9101                   3  38.408 -70.3  0.00  0.545
## 6   5.007 0.9060          0.03156  4  38.575 -68.3  2.03  0.197
## 4   5.031 0.9160 -0.03145          4  38.541 -68.2  2.10  0.191
## 8   5.019 0.9122 -0.03571 0.03505  5  38.745 -66.1  4.17  0.068
## 1   5.424                          2 -10.483  25.2 95.52  0.000
## 3   5.335         0.19350          3  -9.727  26.0 96.27  0.000
## 5   5.351                 0.15900  3  -9.869  26.3 96.55  0.000
## 7   5.281         0.17310 0.13780  4  -9.261  27.4 97.71  0.000
## Models ranked by AICc(x) 
## 
## [[190]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik  AICc delta weight
## 4   4.984 1.038 -0.10930          4  33.551 -58.2  0.00  0.464
## 2   4.941 1.018                   3  31.898 -57.3  0.94  0.290
## 8   4.970 1.036 -0.10800 0.02355  5  33.631 -55.9  2.31  0.146
## 6   4.925 1.017          0.02940  4  32.015 -55.1  3.07  0.100
## 1   5.436                         2 -12.496  29.2 87.46  0.000
## 5   5.394                0.07459  3 -12.368  31.3 89.47  0.000
## 3   5.414        0.04732          3 -12.444  31.4 89.62  0.000
## 7   5.368        0.05083 0.07694  4 -12.307  33.5 91.72  0.000
## Models ranked by AICc(x) 
## 
## [[191]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2         x3 df  logLik  AICc  delta weight
## 4   5.002 1.028 -0.08230             4  52.546 -96.2   0.00  0.507
## 2   4.958 1.045                      3  50.683 -94.8   1.36  0.257
## 8   5.012 1.028 -0.08501 -0.0155300  5  52.611 -93.9   2.35  0.157
## 6   4.958 1.045          -0.0001768  4  50.683 -92.5   3.73  0.079
## 3   5.518       -0.26890             3  -8.234  23.0 119.19  0.000
## 1   5.396                            2 -10.054  24.4 120.57  0.000
## 7   5.530       -0.27260 -0.0213600  4  -8.223  25.3 121.54  0.000
## 5   5.381                 0.0294500  3 -10.034  26.6 122.79  0.000
## Models ranked by AICc(x) 
## 
## [[192]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik  AICc  delta weight
## 2   4.983 0.9449                     3 50.689 -94.9   0.00  0.495
## 4   5.011 0.9330 -0.04417            4 51.283 -93.7   1.18  0.274
## 6   4.983 0.9449          6.749e-05  4 50.689 -92.5   2.37  0.151
## 8   5.011 0.9329 -0.04420 1.233e-03  5 51.284 -91.2   3.65  0.080
## 3   5.572        -0.21500            3 -1.606   9.7 104.59  0.000
## 1   5.465                            2 -3.350  11.0 105.81  0.000
## 7   5.524        -0.21480 9.860e-02  4 -1.323  11.5 106.39  0.000
## 5   5.417                 9.906e-02  3 -3.084  12.7 107.55  0.000
## Models ranked by AICc(x) 
## 
## [[193]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik  AICc  delta weight
## 2   4.933 1.042                     3  42.186 -77.9   0.00  0.389
## 4   4.980 1.022 -0.07370            4  43.348 -77.8   0.04  0.381
## 6   4.931 1.043           0.003715  4  42.189 -75.5   2.36  0.119
## 8   4.982 1.022 -0.07391 -0.002580  5  43.349 -75.3   2.52  0.111
## 3   5.627       -0.30730            3 -10.876  28.3 106.12  0.000
## 7   5.696       -0.31340 -0.126600  4 -10.496  29.9 107.73  0.000
## 1   5.472                           2 -13.274  30.8 108.65  0.000
## 5   5.529                -0.109400  3 -13.016  32.6 110.40  0.000
## Models ranked by AICc(x) 
## 
## [[194]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df logLik  AICc  delta weight
## 4   4.953 1.086 -0.06664          4 53.016 -97.1   0.00  0.381
## 2   4.925 1.081                   3 51.524 -96.5   0.62  0.280
## 8   4.936 1.082 -0.06494 0.03997  5 53.541 -95.7   1.42  0.187
## 6   4.907 1.078          0.04290  4 52.096 -95.3   1.84  0.152
## 1   5.481                         2 -7.454  19.2 116.31  0.000
## 5   5.436                0.10070  3 -7.157  20.8 117.98  0.000
## 3   5.491       -0.02131          3 -7.440  21.4 118.54  0.000
## 7   5.444       -0.01741 0.09999  4 -7.147  23.2 120.33  0.000
## Models ranked by AICc(x) 
## 
## [[195]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2        x3 df  logLik  AICc  delta weight
## 2   4.972 0.9803                      3  39.406 -72.3   0.00  0.501
## 4   4.999 0.9836 -0.062000            4  39.943 -71.0   1.29  0.263
## 6   4.980 0.9780           -0.015220  4  39.442 -70.0   2.29  0.159
## 8   5.003 0.9823 -0.060920 -0.007597  5  39.952 -68.5   3.75  0.077
## 1   5.445                             2 -13.350  31.0 103.24  0.000
## 5   5.539                  -0.190300  3 -12.626  31.8 104.06  0.000
## 3   5.442         0.007685            3 -13.349  33.2 105.51  0.000
## 7   5.525         0.033230 -0.194000  4 -12.607  34.1 106.39  0.000
## Models ranked by AICc(x) 
## 
## [[196]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.954 1.049                    3  45.972 -85.4   0.00  0.500
## 4   4.979 1.043 -0.05194           4  46.446 -84.0   1.42  0.246
## 6   4.969 1.049          -0.02531  4  46.096 -83.3   2.12  0.173
## 8   4.995 1.043 -0.05254 -0.02638  5  46.583 -81.8   3.62  0.082
## 1   5.518                          2 -15.319  34.9 120.32  0.000
## 3   5.606       -0.20650           3 -14.661  35.8 121.27  0.000
## 5   5.541                -0.04037  3 -15.292  37.1 122.53  0.000
## 7   5.631       -0.20740 -0.04430  4 -14.627  38.1 123.57  0.000
## Models ranked by AICc(x) 
## 
## [[197]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df logLik  AICc delta weight
## 4   4.989 1.041 -0.12050          4 38.162 -67.4  0.00  0.492
## 2   4.936 1.038                   3 36.220 -65.9  1.52  0.230
## 8   4.973 1.037 -0.11560 0.03607  5 38.369 -65.4  2.06  0.176
## 6   4.916 1.032          0.04970  4 36.590 -64.3  3.14  0.102
## 1   5.488                         2 -7.269  18.8 86.23  0.000
## 5   5.428                0.13350  3 -6.795  20.1 87.55  0.000
## 3   5.532       -0.09560          3 -7.062  20.6 88.08  0.000
## 7   5.468       -0.07898 0.12440  4 -6.653  22.2 89.63  0.000
## Models ranked by AICc(x) 
## 
## [[198]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.973 0.9659                    3  41.036 -75.6   0.00  0.550
## 4   4.995 0.9583 -0.03402           4  41.236 -73.6   1.97  0.205
## 6   4.960 0.9706           0.02062  4  41.115 -73.3   2.21  0.182
## 8   4.983 0.9626 -0.03172  0.01652  5  41.286 -71.2   4.34  0.063
## 7   5.705        -0.29360 -0.23110  4 -10.066  29.0 104.57  0.000
## 3   5.583        -0.27640           3 -11.379  29.3 104.83  0.000
## 1   5.435                           2 -13.031  30.3 105.87  0.000
## 5   5.538                 -0.21080  3 -12.009  30.5 106.09  0.000
## Models ranked by AICc(x) 
## 
## [[199]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik  AICc  delta weight
## 2   5.003 0.9482                    3  39.414 -72.3   0.00  0.326
## 4   5.032 0.9607 -0.07433           4  40.376 -71.9   0.44  0.261
## 6   4.966 0.9549           0.06558  4  40.253 -71.6   0.69  0.231
## 8   4.994 0.9675 -0.07446  0.06571  5  41.252 -71.1   1.17  0.182
## 1   5.524                           2 -13.559  31.4 103.68  0.000
## 3   5.470         0.11250           3 -13.289  33.1 105.41  0.000
## 5   5.543                 -0.03665  3 -13.528  33.6 105.88  0.000
## 7   5.489         0.11190 -0.03482  4 -13.260  35.4 107.72  0.000
## Models ranked by AICc(x) 
## 
## [[200]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik  AICc  delta weight
## 2   4.968 0.9274                   3 50.137 -93.8   0.00  0.562
## 4   4.981 0.9293 -0.02491          4 50.274 -91.7   2.09  0.197
## 6   4.963 0.9248          0.01311  4 50.183 -91.5   2.27  0.180
## 8   4.975 0.9266 -0.02543 0.01389  5 50.326 -89.3   4.46  0.060
## 1   5.377                          2 -5.615  15.5 109.24  0.000
## 5   5.288                 0.17050  3 -4.722  16.0 109.72  0.000
## 3   5.347         0.05260          3 -5.549  17.6 111.37  0.000
## 7   5.265         0.04347 0.16870  4 -4.675  18.2 111.99  0.000
## Models ranked by AICc(x) 
## 
## [[201]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik  AICc  delta weight
## 2   4.946 1.0150                     3 46.210 -85.9   0.00  0.410
## 4   4.992 0.9989 -0.06948            4 47.260 -85.6   0.27  0.359
## 6   4.949 1.0150          -0.005674  4 46.216 -83.5   2.36  0.126
## 8   4.995 0.9986 -0.06953 -0.006236  5 47.268 -83.2   2.73  0.105
## 3   5.632        -0.26590            3 -6.214  18.9 104.85  0.000
## 1   5.490                            2 -8.080  20.4 106.31  0.000
## 7   5.662        -0.26550 -0.064160  4 -6.120  21.1 107.03  0.000
## 5   5.521                 -0.065670  3 -7.989  22.5 108.40  0.000
## Models ranked by AICc(x) 
## 
## [[202]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df logLik  AICc  delta weight
## 4   4.988 1.017 -0.09977           4 41.843 -74.8   0.00  0.483
## 2   4.948 1.001                    3 40.031 -73.5   1.26  0.258
## 8   4.995 1.019 -0.09554 -0.02213  5 41.933 -72.5   2.29  0.154
## 6   4.964 1.006          -0.04016  4 40.319 -71.7   3.05  0.105
## 1   5.482                          2 -9.461  23.2  97.97  0.000
## 5   5.447                 0.07438  3 -9.323  25.2  99.96  0.000
## 3   5.463        0.03947           3 -9.422  25.4 100.16  0.000
## 7   5.437        0.02528  0.06923  4 -9.307  27.5 102.30  0.000
## Models ranked by AICc(x) 
## 
## [[203]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik  AICc  delta weight
## 2   4.930 1.079                   3  45.266 -84.0   0.00  0.429
## 4   4.960 1.079 -0.06478          4  46.169 -83.4   0.56  0.324
## 6   4.919 1.079          0.02025  4  45.344 -81.8   2.21  0.142
## 8   4.949 1.079 -0.06555 0.02273  5  46.271 -81.2   2.83  0.104
## 1   5.471                         2 -17.783  39.8 123.83  0.000
## 3   5.501       -0.06416          3 -17.713  41.9 125.96  0.000
## 5   5.449                0.04222  3 -17.756  42.0 126.04  0.000
## 7   5.479       -0.06568 0.04470  4 -17.683  44.3 128.26  0.000
## Models ranked by AICc(x) 
## 
## [[204]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 4   4.973 1.023 -0.07476           4  52.748 -96.6   0.00  0.347
## 8   5.018 1.024 -0.09177 -0.06909  5  53.756 -96.1   0.46  0.276
## 2   4.943 1.008                    3  51.277 -96.0   0.57  0.261
## 6   4.966 1.006          -0.04168  4  51.646 -94.4   2.20  0.115
## 1   5.501                          2 -18.343  40.9 137.55  0.000
## 3   5.387        0.21710           3 -17.540  41.6 138.21  0.000
## 5   5.559                -0.10850  3 -18.189  42.9 139.51  0.000
## 7   5.416        0.20640 -0.04417  4 -17.515  43.9 140.53  0.000
## Models ranked by AICc(x) 
## 
## [[205]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.955 1.022                    3  40.454 -74.4   0.00  0.498
## 4   4.985 1.021 -0.05777           4  40.995 -73.1   1.29  0.262
## 6   4.962 1.026          -0.01518  4  40.499 -72.1   2.28  0.160
## 8   4.991 1.024 -0.05787 -0.01551  5  41.043 -70.7   3.66  0.080
## 1   5.451                          2 -13.507  31.3 105.66  0.000
## 5   5.350                 0.19440  3 -12.606  31.7 106.12  0.000
## 3   5.497       -0.09110           3 -13.352  33.2 107.61  0.000
## 7   5.395       -0.08832  0.19330  4 -12.455  33.8 108.19  0.000
## Models ranked by AICc(x) 
## 
## [[206]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik  AICc  delta weight
## 2   4.916 1.061                   3  42.022 -77.5   0.00  0.421
## 4   4.955 1.055 -0.07207          4  42.958 -77.0   0.49  0.329
## 6   4.901 1.056          0.03211  4  42.174 -75.5   2.06  0.150
## 8   4.945 1.053 -0.06901 0.01790  5  43.006 -74.6   2.88  0.100
## 1   5.486                         2 -14.839  33.9 111.46  0.000
## 5   5.352                0.24380  3 -13.893  34.3 111.83  0.000
## 3   5.567       -0.16440          3 -14.339  35.2 112.72  0.000
## 7   5.428       -0.12450 0.21700  4 -13.608  36.1 113.63  0.000
## Models ranked by AICc(x) 
## 
## [[207]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.957 1.033                    3  43.427 -80.3   0.00  0.349
## 4   4.992 1.022 -0.06533           4  44.583 -80.3   0.05  0.339
## 8   5.048 1.009 -0.09005 -0.07391  5  45.280 -79.2   1.14  0.198
## 6   4.969 1.030          -0.02067  4  43.491 -78.1   2.24  0.114
## 7   5.765       -0.28710 -0.33700  4  -8.427  25.7 106.08  0.000
## 1   5.460                          2 -11.182  26.6 106.95  0.000
## 3   5.544       -0.18130           3 -10.164  26.8 107.18  0.000
## 5   5.551                -0.17770  3 -10.634  27.8 108.12  0.000
## Models ranked by AICc(x) 
## 
## [[208]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1      x2       x3 df  logLik  AICc  delta weight
## 4   5.010 0.9972 -0.1114           4  46.569 -84.2   0.00  0.555
## 8   5.018 0.9992 -0.1042 -0.02754  5  46.714 -82.1   2.19  0.186
## 2   4.970 0.9733                   3  44.194 -81.9   2.38  0.169
## 6   4.992 0.9805         -0.05448  4  44.751 -80.6   3.64  0.090
## 1   5.460                          2 -12.904  30.1 114.31  0.000
## 3   5.392         0.1454           3 -12.485  31.5 115.74  0.000
## 5   5.411                 0.10350  3 -12.697  31.9 116.16  0.000
## 7   5.369         0.1264  0.06710  4 -12.403  33.7 117.95  0.000
## Models ranked by AICc(x) 
## 
## [[209]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik  AICc  delta weight
## 4   5.024 0.9653 -0.07398            4 49.981 -91.1   0.00  0.402
## 2   4.989 0.9570                     3 48.711 -90.9   0.17  0.368
## 8   5.023 0.9652 -0.07394 0.0007785  5 49.981 -88.6   2.47  0.117
## 6   4.987 0.9565          0.0048800  4 48.716 -88.5   2.53  0.113
## 1   5.435                            2 -6.400  17.1 108.13  0.000
## 5   5.379                 0.1229000  3 -6.086  18.7 109.77  0.000
## 3   5.419         0.03050            3 -6.377  19.3 110.35  0.000
## 7   5.360         0.03466 0.1243000  4 -6.055  21.0 112.07  0.000
## Models ranked by AICc(x) 
## 
## [[210]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2       x3 df  logLik  AICc  delta weight
## 2   4.967 0.9797                     3  48.477 -90.4   0.00  0.377
## 6   4.930 0.9863            0.06502  4  49.656 -90.4   0.01  0.375
## 8   4.942 0.9855 -0.027380  0.07114  5  49.836 -88.3   2.12  0.130
## 4   4.973 0.9793 -0.009509           4  48.499 -88.1   2.32  0.118
## 1   5.439                            2 -12.388  29.0 119.46  0.000
## 3   5.473        -0.063830           3 -12.302  31.1 121.56  0.000
## 5   5.456                  -0.03287  3 -12.362  31.2 121.68  0.000
## 7   5.480        -0.058820 -0.01957  4 -12.293  33.5 123.91  0.000
## Models ranked by AICc(x) 
## 
## [[211]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc  delta weight
## 8   5.062 0.9404 -0.07384 -0.07711  5 51.333 -91.3   0.00  0.304
## 6   5.025 0.9380          -0.08169  4 49.979 -91.1   0.23  0.271
## 4   5.015 0.9504 -0.07863           4 49.862 -90.8   0.47  0.241
## 2   4.972 0.9484                    3 48.412 -90.3   1.00  0.184
## 1   5.431                           2 -8.500  21.3 112.56  0.000
## 5   5.553                 -0.20670  3 -7.463  21.4 112.75  0.000
## 3   5.460        -0.05320           3 -8.433  23.4 114.69  0.000
## 7   5.574        -0.04123 -0.20430  4 -7.422  23.7 115.03  0.000
## Models ranked by AICc(x) 
## 
## [[212]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc  delta weight
## 6   5.016 0.9179          -0.07985  4 49.407 -89.9   0.00  0.370
## 2   4.979 0.9161                    3 48.124 -89.7   0.20  0.335
## 8   5.028 0.9332 -0.03854 -0.07984  5 49.760 -88.2   1.77  0.153
## 4   4.991 0.9315 -0.03855           4 48.460 -88.0   1.89  0.143
## 3   5.305         0.26730           3 -1.971  10.5 100.39  0.000
## 7   5.334         0.26780 -0.06098  4 -1.873  12.6 102.56  0.000
## 1   5.446                           2 -4.343  12.9 102.87  0.000
## 5   5.473                 -0.05843  3 -4.260  15.0 104.97  0.000
## Models ranked by AICc(x) 
## 
## [[213]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 4   4.950 1.077 -0.08364           4  38.223 -67.6   0.00  0.295
## 2   4.915 1.073                    3  36.986 -67.5   0.11  0.280
## 6   4.867 1.092           0.07610  4  37.928 -67.0   0.59  0.220
## 8   4.904 1.093 -0.07980  0.07146  5  39.092 -66.8   0.74  0.204
## 1   5.436                          2 -14.592  33.4 101.00  0.000
## 5   5.514                -0.15370  3 -14.083  34.7 102.24  0.000
## 3   5.457       -0.04935           3 -14.538  35.6 103.16  0.000
## 7   5.542       -0.05900 -0.15740  4 -14.005  36.9 104.46  0.000
## Models ranked by AICc(x) 
## 
## [[214]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik  AICc  delta weight
## 2   4.934 1.030                   3  42.955 -79.4   0.00  0.532
## 4   4.953 1.025 -0.03224          4  43.160 -77.4   1.96  0.200
## 6   4.919 1.028          0.03178  4  43.142 -77.4   1.99  0.197
## 8   4.939 1.022 -0.03310 0.03270  5  43.360 -75.4   4.03  0.071
## 1   5.462                         2 -12.587  29.4 108.82  0.000
## 3   5.562       -0.19430          3 -11.746  30.0 109.40  0.000
## 5   5.412                0.10130  3 -12.380  31.3 110.67  0.000
## 7   5.511       -0.19590 0.10450  4 -11.518  31.9 111.31  0.000
## Models ranked by AICc(x) 
## 
## [[215]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik  AICc  delta weight
## 2   5.004 0.9224                    3  47.067 -87.6   0.00  0.398
## 6   4.965 0.9305           0.07146  4  47.947 -87.0   0.61  0.294
## 4   5.029 0.9212 -0.05028           4  47.534 -86.2   1.43  0.195
## 8   4.989 0.9288 -0.03902  0.06405  5  48.228 -85.1   2.52  0.113
## 1   5.543                           2 -10.825  25.9 113.52  0.000
## 5   5.587                 -0.09353  3 -10.675  27.9 115.48  0.000
## 3   5.582        -0.08159           3 -10.704  27.9 115.54  0.000
## 7   5.644        -0.10080 -0.11190  4 -10.495  29.9 117.49  0.000
## Models ranked by AICc(x) 
## 
## [[216]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik  AICc  delta weight
## 4   4.952 1.065 -0.08659            4  45.543 -82.2   0.00  0.467
## 2   4.897 1.076                     3  43.922 -81.3   0.88  0.301
## 8   4.957 1.063 -0.08675 -0.008932  5  45.562 -79.8   2.44  0.138
## 6   4.902 1.075          -0.007524  4  43.934 -79.0   3.22  0.093
## 1   5.404                           2 -17.484  39.2 121.42  0.000
## 5   5.516                -0.226900  3 -16.432  39.4 121.58  0.000
## 3   5.537       -0.23360            3 -16.466  39.5 121.65  0.000
## 7   5.647       -0.23100 -0.224400  4 -15.394  39.7 121.87  0.000
## Models ranked by AICc(x) 
## 
## [[217]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df logLik   AICc  delta weight
## 8   4.947 1.047 -0.07753 0.06467  5 57.114 -102.9   0.00  0.338
## 4   4.969 1.057 -0.06928          4 55.817 -102.7   0.12  0.319
## 2   4.945 1.048                   3 54.175 -101.8   1.04  0.201
## 6   4.925 1.038          0.05331  4 55.008 -101.1   1.74  0.142
## 5   5.343                0.22650  3 -8.150   22.8 125.69  0.000
## 1   5.451                         2 -9.381   23.0 125.88  0.000
## 7   5.339        0.01086 0.22470  4 -8.147   25.2 128.05  0.000
## 3   5.433        0.04359          3 -9.331   25.2 128.05  0.000
## Models ranked by AICc(x) 
## 
## [[218]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   AICc  delta weight
## 4   5.035 0.9506 -0.07412           4 58.376 -107.9   0.00  0.390
## 8   5.060 0.9467 -0.06778 -0.04833  5 59.336 -107.3   0.55  0.296
## 6   5.028 0.9515          -0.05712  4 57.501 -106.1   1.75  0.163
## 2   4.994 0.9567                    3 56.241 -106.0   1.90  0.151
## 1   5.504                           2 -8.459   21.2 129.04  0.000
## 3   5.578        -0.14450           3 -7.863   22.2 130.11  0.000
## 5   5.576                 -0.13460  3 -7.936   22.4 130.26  0.000
## 7   5.632        -0.12840 -0.11720  4 -7.466   23.8 131.68  0.000
## Models ranked by AICc(x) 
## 
## [[219]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik  AICc delta weight
## 4   5.097 0.8454 -0.08882            4 41.090 -73.3  0.00  0.483
## 2   5.052 0.8560                     3 39.378 -72.2  1.06  0.285
## 8   5.104 0.8457 -0.09004 -0.013690  5 41.123 -70.9  2.41  0.145
## 6   5.054 0.8561          -0.003663  4 39.381 -69.9  3.42  0.087
## 1   5.493                            2 -5.986  16.2 89.52  0.000
## 3   5.570        -0.17190            3 -4.943  16.4 89.70  0.000
## 5   5.481                  0.025860  3 -5.968  18.5 91.75  0.000
## 7   5.566        -0.17130  0.006106  4 -4.942  18.8 92.06  0.000
## Models ranked by AICc(x) 
## 
## [[220]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik  AICc  delta weight
## 2   4.953 0.9817                   3  44.424 -82.3   0.00  0.532
## 4   4.969 0.9820 -0.03198          4  44.653 -80.4   1.91  0.205
## 6   4.939 0.9809          0.02422  4  44.571 -80.3   2.07  0.189
## 8   4.955 0.9811 -0.03654 0.02929  5  44.867 -78.4   3.95  0.074
## 1   5.525                          2 -12.255  28.8 111.09  0.000
## 5   5.496                 0.05112  3 -12.187  30.9 113.22  0.000
## 3   5.537        -0.02270          3 -12.244  31.0 113.33  0.000
## 7   5.509        -0.03136 0.05547  4 -12.165  33.2 115.54  0.000
## Models ranked by AICc(x) 
## 
## [[221]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik  AICc  delta weight
## 4   5.011 1.038 -0.09987          4  48.360 -87.8   0.00  0.526
## 2   4.959 1.043                   3  46.257 -86.0   1.84  0.210
## 8   4.997 1.036 -0.09599 0.02606  5  48.499 -85.6   2.20  0.175
## 6   4.939 1.038          0.04112  4  46.584 -84.3   3.55  0.089
## 1   5.515                         2 -15.876  36.0 123.84  0.000
## 5   5.412                0.19330  3 -15.260  37.0 124.87  0.000
## 3   5.592       -0.15630          3 -15.460  37.4 125.27  0.000
## 7   5.487       -0.12960 0.17250  4 -14.975  38.8 126.67  0.000
## Models ranked by AICc(x) 
## 
## [[222]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 4   4.934 1.074 -0.07351           4  50.116 -91.3   0.00  0.394
## 2   4.894 1.089                    3  48.855 -91.2   0.15  0.365
## 8   4.940 1.079 -0.07362 -0.01933  5  50.186 -89.0   2.34  0.123
## 6   4.900 1.094          -0.01881  4  48.918 -88.9   2.40  0.119
## 7   5.381       -0.32500  0.39690  4 -15.306  39.5 130.84  0.000
## 5   5.223                 0.42620  3 -17.172  40.9 132.21  0.000
## 3   5.573       -0.35460           3 -17.588  41.7 133.04  0.000
## 1   5.415                          2 -19.622  43.5 134.84  0.000
## Models ranked by AICc(x) 
## 
## [[223]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df logLik  AICc  delta weight
## 2   4.933 1.030                    3 50.820 -95.1   0.00  0.536
## 4   4.943 1.037 -0.02925           4 51.015 -93.1   1.98  0.199
## 6   4.946 1.031          -0.02531  4 51.011 -93.1   1.99  0.198
## 8   4.953 1.037 -0.02508 -0.02160  5 51.151 -90.9   4.18  0.066
## 3   5.375        0.23400           3 -7.915  22.4 117.47  0.000
## 1   5.486                          2 -9.155  22.6 117.68  0.000
## 7   5.382        0.23690 -0.01481  4 -7.909  24.7 119.83  0.000
## 5   5.474                 0.02311  3 -9.141  24.8 119.92  0.000
## Models ranked by AICc(x) 
## 
## [[224]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2      x3 df logLik  AICc  delta weight
## 4   5.022 0.9525 -0.090200          4 52.659 -96.4   0.00  0.511
## 2   4.988 0.9432                    3 50.453 -94.4   2.05  0.184
## 8   5.006 0.9511 -0.080840 0.02811  5 52.853 -94.3   2.09  0.180
## 6   4.963 0.9424           0.05570  4 51.251 -93.6   2.82  0.125
## 1   5.442                           2 -7.727  19.7 116.14  0.000
## 5   5.411                  0.07014  3 -7.606  21.7 118.16  0.000
## 3   5.439         0.006818          3 -7.726  22.0 118.40  0.000
## 7   5.391         0.033570 0.08155  4 -7.580  24.0 120.48  0.000
## Models ranked by AICc(x) 
## 
## [[225]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik  AICc  delta weight
## 2   4.924 1.084                   3  48.005 -89.5   0.00  0.302
## 4   4.974 1.059 -0.07062          4  49.061 -89.2   0.25  0.266
## 6   4.902 1.074          0.06163  4  48.981 -89.1   0.42  0.245
## 8   4.950 1.050 -0.06659 0.05782  5  49.952 -88.5   0.95  0.188
## 3   5.752       -0.51390          3 -13.216  33.0 122.44  0.000
## 7   5.650       -0.48840 0.19740  4 -12.339  33.6 123.06  0.000
## 5   5.370                0.25700  3 -17.019  40.6 130.05  0.000
## 1   5.485                         2 -18.262  40.8 130.27  0.000
## Models ranked by AICc(x) 
## 
## [[226]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2        x3 df  logLik  AICc delta weight
## 2   4.979 0.9250                      3  36.463 -66.4  0.00  0.443
## 4   5.020 0.9310 -0.079770            4  37.338 -65.8  0.62  0.325
## 6   4.986 0.9230           -0.011150  4  36.477 -64.1  2.34  0.137
## 8   5.022 0.9305 -0.079560 -0.002487  5  37.339 -63.3  3.09  0.094
## 1   5.452                             2 -10.538  25.3 91.74  0.000
## 5   5.575                  -0.242400  3  -9.489  25.5 91.90  0.000
## 3   5.450         0.003396            3 -10.537  27.6 94.00  0.000
## 7   5.565         0.020940 -0.244200  4  -9.480  27.8 94.25  0.000
## Models ranked by AICc(x) 
## 
## [[227]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik  AICc  delta weight
## 4   5.023 0.9595 -0.08909          4  44.239 -79.6   0.00  0.314
## 8   4.985 0.9512 -0.08946 0.07926  5  45.462 -79.6   0.03  0.309
## 2   4.983 0.9549                   3  42.573 -78.6   0.97  0.194
## 6   4.945 0.9466          0.07878  4  43.701 -78.5   1.08  0.183
## 1   5.455                          2 -10.661  25.6 105.17  0.000
## 5   5.353                 0.19100  3  -9.868  26.3 105.85  0.000
## 3   5.474        -0.04016          3 -10.622  27.8 107.35  0.000
## 7   5.373        -0.04207 0.19150  4  -9.823  28.5 108.12  0.000
## Models ranked by AICc(x) 
## 
## [[228]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.942 0.9824                    3  38.923 -71.3   0.00  0.346
## 4   4.979 0.9901 -0.07569           4  39.916 -70.9   0.38  0.286
## 8   4.955 0.9946 -0.09503 0.075840  5  40.834 -70.3   1.02  0.208
## 6   4.920 0.9841          0.050380  4  39.337 -69.8   1.54  0.160
## 1   5.418                           2 -12.906  30.1 101.39  0.000
## 3   5.402         0.03002           3 -12.887  32.3 103.62  0.000
## 5   5.412                 0.013870  3 -12.903  32.3 103.65  0.000
## 7   5.400         0.02843 0.006372  4 -12.886  34.7 105.99  0.000
## Models ranked by AICc(x) 
## 
## [[229]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc  delta weight
## 2   4.985 0.9635                    3 42.490 -78.5   0.00  0.439
## 4   5.019 0.9592 -0.05996           4 43.152 -77.4   1.04  0.261
## 6   4.964 0.9663           0.04150  4 42.815 -76.7   1.72  0.186
## 8   4.997 0.9621 -0.06330  0.04596  5 43.559 -75.8   2.70  0.114
## 1   5.466                           2 -7.570  19.4  97.85  0.000
## 3   5.531        -0.12460           3 -7.184  20.9  99.35  0.000
## 5   5.475                 -0.01885  3 -7.561  21.6 100.10  0.000
## 7   5.535        -0.12390 -0.00961  4 -7.182  23.3 101.71  0.000
## Models ranked by AICc(x) 
## 
## [[230]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1      x2      x3 df  logLik  AICc  delta weight
## 8   4.950 1.026 -0.1093 0.08228  5  46.370 -81.4   0.00  0.327
## 4   4.974 1.046 -0.1007          4  45.118 -81.3   0.03  0.322
## 2   4.904 1.069                  3  43.461 -80.4   0.98  0.201
## 6   4.877 1.054         0.07170  4  44.353 -79.8   1.56  0.150
## 7   5.521       -0.3812 0.32460  4  -7.745  24.4 105.76  0.000
## 3   5.670       -0.3675          3 -10.068  26.7 108.03  0.000
## 5   5.309               0.30950  3 -10.704  27.9 109.31  0.000
## 1   5.459                        2 -12.600  29.5 110.83  0.000
## Models ranked by AICc(x) 
## 
## [[231]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2     x3 df  logLik  AICc  delta weight
## 6   4.856 1.073          0.1247  4  36.768 -64.6   0.00  0.369
## 8   4.892 1.092 -0.07559 0.1094  5  37.714 -64.1   0.58  0.276
## 4   4.961 1.097 -0.09337         4  36.134 -63.4   1.27  0.196
## 2   4.928 1.073                  3  34.745 -63.0   1.68  0.159
## 1   5.485                        2 -16.143  36.5 101.19  0.000
## 3   5.411        0.15170         3 -15.644  37.8 102.46  0.000
## 5   5.412                0.1272  3 -15.877  38.3 102.92  0.000
## 7   5.306        0.17660 0.1626  4 -15.213  39.3 103.96  0.000
## Models ranked by AICc(x) 
## 
## [[232]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.975 1.006                    3  40.166 -73.8   0.00  0.383
## 4   5.007 1.013 -0.07226           4  41.170 -73.5   0.36  0.320
## 6   4.954 1.011           0.03443  4  40.403 -71.9   1.89  0.149
## 8   4.981 1.021 -0.08080  0.04802  5  41.638 -71.9   1.90  0.148
## 1   5.432                          2 -13.158  30.6 104.38  0.000
## 5   5.486                -0.09942  3 -12.919  32.4 106.17  0.000
## 3   5.416        0.03158           3 -13.136  32.8 106.60  0.000
## 7   5.466        0.04876 -0.10680  4 -12.866  34.6 108.43  0.000
## Models ranked by AICc(x) 
## 
## [[233]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc  delta weight
## 2   4.975 0.9568                    3 44.813 -83.1   0.00  0.506
## 4   4.995 0.9655 -0.05354           4 45.322 -81.8   1.35  0.257
## 6   4.972 0.9543          0.009472  4 44.836 -80.8   2.32  0.158
## 8   4.991 0.9620 -0.05533 0.014380  5 45.373 -79.4   3.72  0.079
## 5   5.427                 0.184400  3 -4.571  15.7  98.77  0.000
## 1   5.514                           2 -5.766  15.8  98.89  0.000
## 3   5.466         0.10250           3 -5.514  17.6 100.66  0.000
## 7   5.396         0.07358 0.176000  4 -4.438  17.8 100.87  0.000
## Models ranked by AICc(x) 
## 
## [[234]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.936 0.9888                    3  45.784 -85.0   0.00  0.470
## 4   4.964 1.0020 -0.05951           4  46.488 -84.1   0.96  0.291
## 6   4.947 0.9876          -0.01625  4  45.814 -82.7   2.31  0.148
## 8   4.981 1.0010 -0.06148 -0.02481  5  46.558 -81.8   3.29  0.091
## 1   5.368                           2 -10.404  25.1 110.11  0.000
## 3   5.273         0.17120           3  -9.757  26.0 111.08  0.000
## 5   5.463                 -0.14830  3 -10.141  26.8 111.85  0.000
## 7   5.356         0.16010 -0.12160  4  -9.579  28.0 113.09  0.000
## Models ranked by AICc(x) 
## 
## [[235]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc  delta weight
## 2   4.972 1.0030                    3 44.969 -83.4   0.00  0.473
## 4   4.995 1.0100 -0.05877           4 45.645 -82.4   1.02  0.285
## 6   4.984 0.9983          -0.01850  4 45.037 -81.2   2.23  0.155
## 8   5.005 1.0050 -0.05833 -0.01703  5 45.704 -80.0   3.37  0.088
## 5   5.588                 -0.24550  3 -7.332  21.2 104.60  0.000
## 1   5.471                           2 -8.848  22.0 105.37  0.000
## 7   5.565         0.05150 -0.24540  4 -7.268  23.4 106.84  0.000
## 3   5.448         0.05206           3 -8.786  24.1 107.51  0.000
## Models ranked by AICc(x) 
## 
## [[236]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc delta weight
## 2   4.955 1.027                    3  34.916 -63.3  0.00  0.320
## 4   4.989 1.039 -0.08126           4  35.906 -62.9  0.39  0.264
## 8   5.037 1.039 -0.09661 -0.08085  5  36.984 -62.6  0.71  0.225
## 6   4.988 1.025          -0.06405  4  35.583 -62.3  1.03  0.191
## 1   5.559                          2 -10.367  25.0 88.30  0.000
## 5   5.604                -0.08930  3 -10.157  26.8 90.14  0.000
## 3   5.536        0.04603           3 -10.315  27.2 90.46  0.000
## 7   5.586        0.03005 -0.08397  4 -10.135  29.2 92.47  0.000
## Models ranked by AICc(x) 
## 
## [[237]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik  AICc  delta weight
## 2   4.952 1.018                   3  40.076 -73.6   0.00  0.527
## 4   4.971 1.021 -0.04413          4  40.420 -72.0   1.68  0.228
## 6   4.941 1.015          0.02268  4  40.155 -71.4   2.21  0.175
## 8   4.961 1.018 -0.04271 0.01906  5  40.477 -69.6   4.04  0.070
## 1   5.509                         2 -15.347  34.9 108.58  0.000
## 5   5.405                0.18450  3 -14.754  36.0 109.66  0.000
## 3   5.495        0.03191          3 -15.327  37.2 110.81  0.000
## 7   5.384        0.04408 0.18770  4 -14.715  38.3 111.95  0.000
## Models ranked by AICc(x) 
## 
## [[238]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.927 1.0210                    3  40.252 -74.0   0.00  0.303
## 4   4.987 0.9878 -0.09020           4  41.367 -73.8   0.14  0.283
## 6   4.968 1.0060          -0.06864  4  41.214 -73.5   0.44  0.243
## 8   5.016 0.9783 -0.07997 -0.05942  5  42.103 -72.8   1.14  0.171
## 3   5.721        -0.53190           3  -9.578  25.7  99.66  0.000
## 7   5.789        -0.48640 -0.18670  4  -8.607  26.1 100.09  0.000
## 5   5.602                 -0.27720  3 -13.275  33.1 107.05  0.000
## 1   5.469                           2 -15.103  34.5 108.44  0.000
## Models ranked by AICc(x) 
## 
## [[239]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2         x3 df  logLik  AICc  delta weight
## 2   4.993 0.9281                      3  42.390 -78.3   0.00  0.508
## 4   5.013 0.9401 -0.05048             4  42.906 -76.9   1.33  0.261
## 6   4.995 0.9287          -0.0042130  4  42.394 -75.9   2.36  0.156
## 8   5.012 0.9400 -0.05058  0.0009597  5  42.906 -74.4   3.81  0.076
## 1   5.452                             2 -12.367  29.0 107.25  0.000
## 3   5.354         0.19120             3 -11.477  29.5 107.73  0.000
## 5   5.376                  0.1357000  3 -11.900  30.3 108.58  0.000
## 7   5.299         0.17520  0.1119000  4 -11.156  31.2 109.46  0.000
## Models ranked by AICc(x) 
## 
## [[240]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik  AICc  delta weight
## 2   4.960 0.9972                   3  38.738 -71.0   0.00  0.389
## 4   4.996 0.9964 -0.07731          4  39.845 -70.8   0.15  0.360
## 6   4.949 0.9947          0.02314  4  38.843 -68.8   2.16  0.132
## 8   4.984 0.9936 -0.07808 0.02535  5  39.977 -68.6   2.36  0.119
## 1   5.516                          2 -11.069  26.4  97.35  0.000
## 5   5.456                 0.11070  3 -10.737  28.0  98.95  0.000
## 3   5.556        -0.08630          3 -10.884  28.3  99.24  0.000
## 7   5.496        -0.08963 0.11310  4 -10.535  30.0 100.91  0.000
## Models ranked by AICc(x) 
## 
## [[241]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik  AICc  delta weight
## 2   4.958 0.9756                    3  37.956 -69.4   0.00  0.420
## 4   4.987 0.9811 -0.06620           4  38.739 -68.6   0.80  0.281
## 6   4.986 0.9734          -0.04961  4  38.301 -67.7   1.68  0.182
## 8   5.015 0.9789 -0.06625 -0.04970  5  39.096 -66.8   2.56  0.117
## 1   5.417                           2 -14.339  32.9 102.32  0.000
## 5   5.474                 -0.10620  3 -14.144  34.8 104.20  0.000
## 3   5.408         0.01915           3 -14.331  35.2 104.57  0.000
## 7   5.465         0.01863 -0.10610  4 -14.136  37.2 106.55  0.000
## Models ranked by AICc(x) 
## 
## [[242]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1      x2        x3 df  logLik  AICc  delta weight
## 4   5.017 0.9371 -0.1099            4  41.533 -74.2   0.00  0.478
## 2   4.955 0.9473                    3  39.773 -73.0   1.15  0.269
## 8   5.031 0.9379 -0.1102 -0.030630  5  41.674 -72.0   2.19  0.160
## 6   4.968 0.9482         -0.029540  4  39.895 -70.9   3.27  0.093
## 1   5.433                           2 -11.536  27.3 101.50  0.000
## 3   5.551        -0.2262            3 -10.583  27.7 101.87  0.000
## 5   5.430                 0.007384  3 -11.535  29.6 103.77  0.000
## 7   5.549        -0.2262  0.004326  4 -10.583  30.1 104.23  0.000
## Models ranked by AICc(x) 
## 
## [[243]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1        x2       x3 df  logLik  AICc  delta weight
## 2   4.907 1.083                     3  44.295 -82.1   0.00  0.471
## 6   4.933 1.080           -0.05034  4  44.877 -80.9   1.20  0.258
## 4   4.888 1.084  0.036840           4  44.549 -80.2   1.86  0.186
## 8   4.917 1.082  0.025400 -0.04505  5  44.994 -78.6   3.44  0.084
## 1   5.512                           2 -16.232  36.7 118.79  0.000
## 5   5.565                 -0.10560  3 -16.005  38.5 120.60  0.000
## 3   5.514       -0.003638           3 -16.231  39.0 121.05  0.000
## 7   5.584       -0.031880 -0.11220  4 -15.989  40.9 122.93  0.000
## Models ranked by AICc(x) 
## 
## [[244]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc  delta weight
## 2   4.972 0.9897                    3 42.845 -79.2   0.00  0.489
## 4   4.998 0.9946 -0.05529           4 43.450 -78.0   1.16  0.274
## 6   4.977 0.9913          -0.01187  4 42.873 -76.9   2.31  0.154
## 8   5.005 0.9967 -0.05613 -0.01496  5 43.495 -75.6   3.54  0.083
## 1   5.387                           2 -7.887  20.0  99.20  0.000
## 5   5.337                  0.10250  3 -7.607  21.7 100.90  0.000
## 3   5.377         0.02016           3 -7.877  22.3 101.44  0.000
## 7   5.324         0.02484  0.10360  4 -7.591  24.1 103.24  0.000
## Models ranked by AICc(x) 
## 
## [[245]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2         x3 df  logLik  AICc  delta weight
## 2   4.912 1.091                      3  40.276 -74.0   0.00  0.582
## 4   4.920 1.091 -0.01426             4  40.308 -71.7   2.30  0.184
## 6   4.916 1.091          -0.0077700  4  40.287 -71.7   2.35  0.180
## 8   4.923 1.091 -0.01426 -0.0077750  5  40.318 -69.3   4.76  0.054
## 1   5.429                            2 -12.599  29.5 103.48  0.000
## 3   5.453       -0.04626             3 -12.559  31.6 105.67  0.000
## 5   5.429                -0.0006546  3 -12.599  31.7 105.75  0.000
## 7   5.454       -0.04626 -0.0006804  4 -12.559  34.0 108.04  0.000
## Models ranked by AICc(x) 
## 
## [[246]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik  AICc  delta weight
## 4   4.974 1.026 -0.10190          4  41.202 -73.5   0.00  0.432
## 2   4.931 1.024                   3  39.599 -72.7   0.84  0.284
## 8   4.959 1.021 -0.10020 0.03753  5  41.472 -71.6   1.93  0.164
## 6   4.914 1.018          0.04148  4  39.910 -70.9   2.58  0.119
## 1   5.417                         2 -18.871  42.0 115.51  0.000
## 5   5.313                0.22120  3 -17.986  42.5 116.01  0.000
## 3   5.448       -0.07123          3 -18.798  44.1 117.63  0.000
## 7   5.341       -0.06181 0.21900  4 -17.929  44.7 118.26  0.000
## Models ranked by AICc(x) 
## 
## [[247]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc delta weight
## 4   5.050 0.8843 -0.07369           4 47.304 -85.7  0.00  0.381
## 2   5.005 0.8827                    3 45.931 -85.3  0.38  0.315
## 6   5.031 0.8836          -0.05185  4 46.462 -84.0  1.68  0.164
## 8   5.063 0.8847 -0.06649 -0.03424  5 47.534 -83.7  2.02  0.139
## 1   5.502                           2 -2.601   9.5 95.18  0.000
## 3   5.538        -0.05924           3 -2.477  11.5 97.19  0.000
## 5   5.521                 -0.03762  3 -2.561  11.6 97.36  0.000
## 7   5.547        -0.05436 -0.02321  4 -2.462  13.8 99.53  0.000
## Models ranked by AICc(x) 
## 
## [[248]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik  AICc  delta weight
## 2   5.003 0.9300                    3 47.491 -88.5   0.00  0.503
## 4   5.022 0.9375 -0.05090           4 48.015 -87.1   1.32  0.260
## 6   5.010 0.9281          -0.01260  4 47.531 -86.2   2.29  0.160
## 8   5.027 0.9362 -0.04996 -0.00788  5 48.031 -84.7   3.76  0.077
## 1   5.455                           2 -7.170  18.6 107.05  0.000
## 5   5.522                 -0.13720  3 -6.618  19.8 108.22  0.000
## 3   5.408         0.10410           3 -6.919  20.4 108.82  0.000
## 7   5.474         0.11740 -0.14570  4 -6.293  21.5 109.93  0.000
## Models ranked by AICc(x) 
## 
## [[249]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 4   4.986 1.066 -0.11450           4  40.945 -73.0   0.00  0.504
## 2   4.940 1.049                    3  39.077 -71.6   1.37  0.255
## 8   4.983 1.065 -0.11330 0.003684  5  40.946 -70.5   2.47  0.147
## 6   4.920 1.050          0.036360  4  39.271 -69.7   3.35  0.095
## 1   5.426                          2 -13.764  31.8 104.78  0.000
## 3   5.397        0.06261           3 -13.697  33.9 106.92  0.000
## 5   5.417                0.017150  3 -13.758  34.0 107.04  0.000
## 7   5.370        0.07432 0.038760  4 -13.673  36.2 109.23  0.000
## Models ranked by AICc(x) 
## 
## [[250]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2         x3 df  logLik  AICc  delta weight
## 2   4.935 1.020                      3  44.112 -81.7   0.00  0.528
## 4   4.957 1.031 -0.04836             4  44.511 -80.1   1.57  0.241
## 6   4.936 1.020          -0.0027900  4  44.113 -79.3   2.36  0.162
## 8   4.957 1.031 -0.04832 -0.0009064  5  44.511 -77.7   4.04  0.070
## 1   5.369                            2 -11.190  26.6 108.34  0.000
## 3   5.255        0.20710             3 -10.332  27.2 108.89  0.000
## 5   5.369                -0.0005093  3 -11.190  28.9 110.60  0.000
## 7   5.259        0.20750 -0.0087060  4 -10.330  29.5 111.25  0.000
## Models ranked by AICc(x) 
## 
## [[251]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2         x3 df logLik  AICc  delta weight
## 2   4.992 0.9938                      3 45.899 -85.3   0.00  0.386
## 4   5.014 1.0080 -0.07424             4 47.070 -85.3   0.02  0.381
## 6   5.000 0.9894          -0.0118900  4 45.929 -83.0   2.31  0.122
## 8   5.015 1.0080 -0.07413 -0.0007229  5 47.070 -82.8   2.50  0.111
## 5   5.634                 -0.3299000  3 -6.443  19.4 104.68  0.000
## 7   5.582         0.14020 -0.3397000  4 -5.918  20.7 106.00  0.000
## 1   5.472                             2 -9.435  23.1 108.40  0.000
## 3   5.426         0.11410             3 -9.126  24.8 110.05  0.000
## Models ranked by AICc(x) 
## 
## [[252]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 4   4.978 1.045 -0.08680           4  48.262 -87.6   0.00  0.435
## 2   4.935 1.051                    3  46.569 -86.6   1.02  0.262
## 8   4.999 1.040 -0.08718 -0.03984  5  48.662 -86.0   1.68  0.188
## 6   4.956 1.046          -0.03907  4  46.928 -85.0   2.67  0.115
## 1   5.493                          2 -11.570  27.4 115.03  0.000
## 3   5.565       -0.15530           3 -11.050  28.6 116.26  0.000
## 5   5.565                -0.14840  3 -11.056  28.6 116.27  0.000
## 7   5.636       -0.15550 -0.14870  4 -10.524  29.9 117.57  0.000
## Models ranked by AICc(x) 
## 
## [[253]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik  AICc  delta weight
## 4   4.960 1.071 -0.09194           4  46.169 -83.4   0.00  0.513
## 2   4.920 1.062                    3  44.172 -81.8   1.63  0.228
## 8   4.950 1.072 -0.08753  0.01562  5  46.214 -81.1   2.38  0.156
## 6   4.897 1.066           0.04544  4  44.564 -80.2   3.21  0.103
## 1   5.470                          2 -16.231  36.7 120.17  0.000
## 5   5.496                -0.05735  3 -16.175  38.9 122.32  0.000
## 3   5.465        0.00960           3 -16.229  39.0 122.43  0.000
## 7   5.501       -0.00764 -0.06001  4 -16.174  41.2 124.69  0.000
## Models ranked by AICc(x) 
## 
## [[254]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik  AICc  delta weight
## 2   4.969 1.015                     3  46.396 -86.3   0.00  0.391
## 4   5.000 1.024 -0.06810            4  47.540 -86.2   0.08  0.376
## 6   4.968 1.015           0.002031  4  46.397 -83.9   2.37  0.120
## 8   5.008 1.024 -0.07104 -0.013180  5  47.583 -83.8   2.47  0.114
## 1   5.470                           2 -12.425  29.1 115.37  0.000
## 3   5.436        0.06480            3 -12.326  31.2 117.44  0.000
## 5   5.489                -0.037310  3 -12.391  31.3 117.57  0.000
## 7   5.451        0.05934 -0.024300  4 -12.313  33.5 119.78  0.000
## Models ranked by AICc(x) 
## 
## [[255]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik  AICc  delta weight
## 2   4.919 1.069                     3  42.939 -79.4   0.00  0.567
## 4   4.935 1.064 -0.02811            4  43.070 -77.3   2.10  0.198
## 6   4.915 1.070           0.008969  4  42.954 -77.0   2.34  0.176
## 8   4.932 1.065 -0.02746  0.006564  5  43.079 -74.8   4.56  0.058
## 3   5.606       -0.28860            3 -19.732  46.0 125.34  0.000
## 1   5.467                           2 -20.880  46.0 125.37  0.000
## 7   5.710       -0.30180 -0.242100  4 -18.782  46.5 125.81  0.000
## 5   5.559                -0.227500  3 -20.079  46.7 126.03  0.000
## Models ranked by AICc(x)

dredgelistBIC[which(pstor>1)]

## [[1]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.877 1.057                    3  40.059 -68.4   0.00  0.563
## 4   4.924 1.081 -0.09767           4  41.418 -67.2   1.19  0.310
## 6   4.870 1.058           0.01343  4  40.090 -64.5   3.85  0.082
## 8   4.922 1.081 -0.09725  0.00311  5  41.420 -63.3   5.10  0.044
## 1   5.375                          2 -15.471  38.8 107.15  0.000
## 3   5.237        0.22920           3 -14.602  40.9 109.32  0.000
## 5   5.408                -0.07052  3 -15.376  42.5 110.87  0.000
## 7   5.261        0.22290 -0.04265  4 -14.566  44.8 113.16  0.000
## Models ranked by BIC(x) 
## 
## [[2]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC delta weight
## 2   4.985 0.9575                    3 37.630 -63.5  0.00  0.633
## 6   5.007 0.9769          -0.06986  4 38.455 -61.3  2.26  0.204
## 4   5.003 0.9607 -0.03913           4 37.863 -60.1  3.45  0.113
## 8   5.040 0.9861 -0.06118 -0.08439  5 39.009 -58.5  5.07  0.050
## 1   5.535                           2 -9.382  26.6 90.11  0.000
## 5   5.458                  0.16200  3 -8.659  29.1 92.58  0.000
## 3   5.514         0.04058           3 -9.344  30.4 93.95  0.000
## 7   5.407         0.08283  0.17870  4 -8.503  32.7 96.18  0.000
## Models ranked by BIC(x) 
## 
## [[3]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df logLik    BIC  delta weight
## 2   4.940 1.041                   3 57.656 -103.6   0.00  0.453
## 4   4.969 1.051 -0.06782          4 59.294 -102.9   0.64  0.330
## 6   4.924 1.034          0.04291  4 58.408 -101.2   2.41  0.136
## 8   4.954 1.044 -0.06333 0.03618  5 59.855 -100.2   3.43  0.082
## 1   5.435                         2 -3.844   15.5 119.09  0.000
## 5   5.368                0.14910  3 -3.054   17.8 121.42  0.000
## 3   5.415        0.04127          3 -3.793   19.3 122.90  0.000
## 7   5.337        0.05738 0.15420  4 -2.953   21.6 125.13  0.000
## Models ranked by BIC(x) 
## 
## [[4]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df logLik   BIC  delta weight
## 2   4.946 1.017                   3 42.166 -72.6   0.00  0.535
## 4   4.989 1.017 -0.08712          4 43.625 -71.6   0.99  0.325
## 6   4.934 1.013          0.02904  4 42.325 -69.0   3.59  0.089
## 8   4.978 1.014 -0.08551 0.02311  5 43.731 -67.9   4.69  0.051
## 1   5.395                         2 -8.787  25.4  97.99  0.000
## 5   5.316                0.15960  3 -8.144  28.0 100.62  0.000
## 3   5.436       -0.08245          3 -8.621  29.0 101.57  0.000
## 7   5.354       -0.07178 0.15470  4 -8.016  31.7 104.28  0.000
## Models ranked by BIC(x) 
## 
## [[5]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df  logLik   BIC  delta weight
## 2   4.961 1.0050                     3  55.133 -98.5   0.00  0.579
## 4   4.989 0.9968 -0.05707            4  56.202 -96.8   1.77  0.239
## 6   4.982 1.0060          -0.042040  4  55.619 -95.6   2.94  0.133
## 8   5.005 0.9983 -0.05367 -0.036060  5  56.570 -93.6   4.95  0.049
## 1   5.466                            2 -11.260  30.3 128.88  0.000
## 3   5.547        -0.19240            3 -10.395  32.5 131.06  0.000
## 5   5.470                 -0.008125  3 -11.259  34.3 132.79  0.000
## 7   5.541        -0.19350  0.012520  4 -10.392  36.4 134.96  0.000
## Models ranked by BIC(x) 
## 
## [[6]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC delta weight
## 2   4.935 1.023                    3  32.473 -53.2  0.00  0.761
## 4   4.950 1.018 -0.02208           4  32.532 -49.4  3.79  0.114
## 6   4.932 1.022          0.007287  4  32.480 -49.3  3.90  0.108
## 8   4.947 1.018 -0.02149 0.005174  5  32.536 -45.5  7.70  0.016
## 1   5.443                          2 -13.257  34.3 87.55  0.000
## 3   5.577       -0.24600           3 -11.993  35.7 88.93  0.000
## 5   5.418                0.052000  3 -13.196  38.1 91.34  0.000
## 7   5.563       -0.24290 0.025800  4 -11.977  39.6 92.81  0.000
## Models ranked by BIC(x) 
## 
## [[7]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   BIC delta weight
## 4   5.062 0.9026 -0.11370          4 41.051 -66.5  0.00  0.410
## 2   4.999 0.9107                   3 38.707 -65.7  0.78  0.278
## 6   4.969 0.8893          0.09158  4 40.151 -64.7  1.80  0.167
## 8   5.031 0.8869 -0.09967 0.07136  5 41.965 -64.4  2.08  0.145
## 5   5.393                 0.24440  3 -0.666  13.1 79.52  0.000
## 1   5.503                          2 -2.733  13.3 79.74  0.000
## 3   5.586        -0.16130          3 -1.855  15.4 81.90  0.000
## 7   5.463        -0.11560 0.22050  4 -0.202  16.1 82.50  0.000
## Models ranked by BIC(x) 
## 
## [[8]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2      x3 df  logLik   BIC delta weight
## 2   5.003 0.9732                    3  34.871 -58.0  0.00  0.625
## 4   5.035 0.9809 -0.077520          4  35.844 -56.0  1.96  0.234
## 6   4.987 0.9726           0.03516  4  35.047 -54.4  3.56  0.105
## 8   5.023 0.9801 -0.074230 0.02360  5  35.925 -52.3  5.72  0.036
## 1   5.471                           2 -10.454  28.7 86.74  0.000
## 5   5.448                  0.05125  3 -10.393  32.5 90.53  0.000
## 3   5.469         0.004414          3 -10.454  32.6 90.65  0.000
## 7   5.442         0.011670 0.05305  4 -10.390  36.4 94.43  0.000
## Models ranked by BIC(x) 
## 
## [[9]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.904 1.070                    3  53.131 -94.5   0.00  0.624
## 4   4.931 1.068 -0.05145           4  54.091 -92.5   1.99  0.231
## 6   4.892 1.071           0.01915  4  53.234 -90.8   3.71  0.098
## 8   4.912 1.068 -0.06040  0.03742  5  54.474 -89.4   5.14  0.048
## 1   5.484                          2 -13.629  35.1 129.61  0.000
## 3   5.532       -0.09455           3 -13.407  38.6 133.08  0.000
## 5   5.494                -0.01525  3 -13.625  39.0 133.51  0.000
## 7   5.525       -0.09804  0.01454  4 -13.403  42.5 136.98  0.000
## Models ranked by BIC(x) 
## 
## [[10]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2     x3 df logLik   BIC delta weight
## 6   4.949 0.9235           0.1055  4 43.080 -70.5  0.00  0.485
## 2   4.994 0.9293                   3 40.480 -69.2  1.29  0.255
## 8   4.983 0.9273 -0.058500 0.0948  5 43.784 -68.0  2.50  0.139
## 4   5.034 0.9336 -0.078790         4 41.690 -67.7  2.78  0.121
## 1   5.485                          2 -6.693  21.2 91.72  0.000
## 5   5.421                  0.1427  3 -5.998  23.7 94.24  0.000
## 3   5.504        -0.035650         3 -6.656  25.0 95.56  0.000
## 7   5.424        -0.005771 0.1417  4 -5.997  27.6 98.15  0.000
## Models ranked by BIC(x) 
## 
## [[11]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2         x3 df  logLik   BIC  delta weight
## 2   4.952 0.9766                      3  44.202 -76.7   0.00  0.740
## 4   4.972 0.9709 -0.03238             4  44.454 -73.3   3.41  0.135
## 6   4.956 0.9758          -0.0072130  4  44.212 -72.8   3.89  0.106
## 8   4.972 0.9709 -0.03228 -0.0005669  5  44.454 -69.3   7.32  0.019
## 1   5.469                             2 -10.977  29.8 106.45  0.000
## 3   5.559        -0.17970             3 -10.087  31.9 108.58  0.000
## 5   5.529                 -0.1289000  3 -10.611  33.0 109.62  0.000
## 7   5.594        -0.16300 -0.0922300  4  -9.901  35.4 112.12  0.000
## Models ranked by BIC(x) 
## 
## [[12]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC delta weight
## 2   4.967 0.9787                    3 35.504 -59.3  0.00  0.501
## 4   5.006 0.9800 -0.09149           4 36.951 -58.3  1.02  0.301
## 6   4.998 0.9796          -0.07010  4 36.148 -56.6  2.62  0.135
## 8   5.027 0.9807 -0.08359 -0.05432  5 37.347 -55.1  4.14  0.063
## 1   5.419                           2 -8.064  24.0 83.22  0.000
## 3   5.454        -0.08055           3 -7.872  27.5 86.75  0.000
## 5   5.445                 -0.05694  3 -7.990  27.7 86.99  0.000
## 7   5.471        -0.07431 -0.04290  4 -7.831  31.3 90.58  0.000
## Models ranked by BIC(x) 
## 
## [[13]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC  delta weight
## 2   4.964 0.9952                    3 49.178 -86.6   0.00  0.719
## 4   4.986 0.9875 -0.03586           4 49.467 -83.3   3.33  0.136
## 6   4.977 0.9927          -0.02479  4 49.352 -83.1   3.56  0.121
## 8   5.005 0.9835 -0.04023 -0.02951  5 49.713 -79.9   6.76  0.025
## 1   5.503                           2 -6.400  20.6 107.24  0.000
## 3   5.616        -0.22630           3 -5.072  21.9 108.50  0.000
## 5   5.552                 -0.09857  3 -6.099  23.9 110.55  0.000
## 7   5.685        -0.24130 -0.12280  4 -4.584  24.8 111.44  0.000
## Models ranked by BIC(x) 
## 
## [[14]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik    BIC  delta weight
## 2   4.950 0.9649                     3 55.961 -100.2   0.00  0.667
## 4   4.978 0.9695 -0.05473            4 56.749  -97.9   2.34  0.208
## 6   4.954 0.9651          -0.006867  4 55.978  -96.3   3.88  0.096
## 8   4.977 0.9695 -0.05511  0.001687  5 56.750  -93.9   6.25  0.029
## 1   5.419                            2 -4.976   17.8 117.96  0.000
## 3   5.401         0.03233            3 -4.953   21.6 121.83  0.000
## 5   5.412                  0.012750  3 -4.971   21.7 121.86  0.000
## 7   5.398         0.03057  0.007953  4 -4.951   25.5 125.74  0.000
## Models ranked by BIC(x) 
## 
## [[15]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.914 1.041                   3  34.159 -56.6   0.00  0.563
## 4   4.963 1.034 -0.08611          4  35.187 -54.7   1.86  0.223
## 6   4.880 1.041          0.07022  4  34.849 -54.0   2.53  0.159
## 8   4.929 1.036 -0.07969 0.06212  5  35.742 -51.9   4.66  0.055
## 1   5.425                         2 -18.938  45.7 102.28  0.000
## 3   5.520       -0.18020          3 -18.402  48.5 105.12  0.000
## 5   5.400                0.05255  3 -18.893  49.5 106.10  0.000
## 7   5.501       -0.17670 0.03480  4 -18.381  52.4 108.99  0.000
## Models ranked by BIC(x) 
## 
## [[16]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.982 0.9658                   3  39.041 -66.3   0.00  0.446
## 4   5.032 0.9696 -0.10740          4  40.715 -65.8   0.56  0.336
## 6   4.956 0.9572          0.06000  4  39.717 -63.8   2.56  0.124
## 8   5.007 0.9613 -0.10600 0.05807  5  41.391 -63.2   3.13  0.094
## 1   5.456                          2 -12.356  32.5  98.88  0.000
## 5   5.360                 0.19210  3 -11.449  34.6 100.98  0.000
## 3   5.486        -0.06263          3 -12.286  36.3 102.65  0.000
## 7   5.389        -0.05929 0.19130  4 -11.383  38.4 104.76  0.000
## Models ranked by BIC(x) 
## 
## [[17]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   BIC  delta weight
## 2   4.955 0.9941                     3 45.255 -78.8   0.00  0.556
## 4   4.996 0.9864 -0.07617            4 46.624 -77.6   1.17  0.309
## 6   4.952 0.9942           0.006817  4 45.266 -74.9   3.89  0.079
## 8   4.984 0.9862 -0.08621  0.032890  5 46.866 -74.2   4.60  0.056
## 1   5.465                            2 -7.922  23.7 102.44  0.000
## 3   5.541        -0.15580            3 -7.243  26.2 105.00  0.000
## 5   5.471                 -0.011360  3 -7.919  27.6 106.35  0.000
## 7   5.527        -0.16790  0.039690  4 -7.203  30.1 108.83  0.000
## Models ranked by BIC(x) 
## 
## [[18]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2         x3 df logLik   BIC  delta weight
## 2   5.014 0.8882                      3 46.497 -81.3   0.00  0.520
## 4   5.054 0.8914 -0.08390             4 48.073 -80.5   0.76  0.355
## 6   5.008 0.8921           0.0104200  4 46.514 -77.4   3.88  0.075
## 8   5.054 0.8913 -0.08393 -0.0003316  5 48.073 -76.6   4.67  0.050
## 5   5.632                 -0.3874000  3 -2.257  16.3  97.51  0.000
## 7   5.683        -0.09177 -0.3987000  4 -1.999  19.6 100.90  0.000
## 1   5.451                             2 -6.021  19.9 101.12  0.000
## 3   5.475        -0.04862             3 -5.958  23.7 104.91  0.000
## Models ranked by BIC(x) 
## 
## [[19]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.916 1.068                    3  36.186 -60.6   0.00  0.451
## 4   4.959 1.072 -0.09786           4  37.919 -60.2   0.45  0.361
## 8   4.993 1.072 -0.10410 -0.05998  5  38.543 -57.5   3.11  0.095
## 6   4.940 1.068          -0.04819  4  36.564 -57.5   3.16  0.093
## 1   5.460                          2 -16.360  40.5 101.18  0.000
## 3   5.489       -0.06314           3 -16.274  44.3 104.92  0.000
## 5   5.486                -0.05054  3 -16.309  44.4 104.99  0.000
## 7   5.522       -0.06924 -0.05838  4 -16.207  48.1 108.70  0.000
## Models ranked by BIC(x) 
## 
## [[20]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik   BIC delta weight
## 2   4.967 0.9517                   3  35.668 -59.6  0.00  0.545
## 6   4.936 0.9331          0.08616  4  36.665 -57.7  1.92  0.209
## 4   5.007 0.9498 -0.07211          4  36.475 -57.3  2.30  0.173
## 8   4.976 0.9304 -0.07508 0.08906  5  37.575 -55.6  4.01  0.073
## 5   5.293                 0.31860  3 -10.068  31.9 91.47  0.000
## 1   5.441                          2 -12.237  32.3 91.90  0.000
## 7   5.349        -0.10740 0.32180  4  -9.784  35.2 94.82  0.000
## 3   5.495        -0.09867          3 -12.017  35.8 95.37  0.000
## Models ranked by BIC(x) 
## 
## [[21]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.970 0.9570                    3  42.706 -73.7   0.00  0.389
## 4   5.029 0.9337 -0.09516           4  44.607 -73.6   0.11  0.368
## 6   4.928 0.9646           0.06442  4  43.662 -71.7   2.00  0.143
## 8   4.990 0.9419 -0.08701  0.05229  5  45.268 -71.0   2.70  0.101
## 3   5.605        -0.33940           3 -10.720  33.2 106.85  0.000
## 1   5.435                           2 -13.496  34.8 108.49  0.000
## 7   5.662        -0.34960 -0.08861  4 -10.509  36.7 110.34  0.000
## 5   5.464                 -0.05078  3 -13.434  38.6 112.28  0.000
## Models ranked by BIC(x) 
## 
## [[22]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC  delta weight
## 2   4.961 0.9879                    3 45.501 -79.3   0.00  0.590
## 6   4.993 0.9897          -0.06541  4 46.379 -77.1   2.15  0.201
## 4   4.990 0.9865 -0.05712           4 46.160 -76.7   2.59  0.161
## 8   5.016 0.9883 -0.05046 -0.05986  5 46.904 -74.2   5.02  0.048
## 1   5.463                           2 -9.566  27.0 106.22  0.000
## 3   5.503        -0.08182           3 -9.418  30.6 109.84  0.000
## 5   5.482                 -0.03684  3 -9.535  30.8 110.07  0.000
## 7   5.516        -0.07869 -0.02825  4 -9.400  34.4 113.71  0.000
## Models ranked by BIC(x) 
## 
## [[23]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df logLik   BIC  delta weight
## 2   4.946 1.036                   3 50.739 -89.7   0.00  0.728
## 6   4.932 1.037          0.02943  4 50.988 -86.3   3.41  0.132
## 4   4.957 1.038 -0.02495          4 50.888 -86.1   3.61  0.120
## 8   4.943 1.038 -0.02043 0.02651  5 51.087 -82.6   7.13  0.021
## 1   5.437                         2 -9.726  27.3 117.02  0.000
## 3   5.411        0.05149          3 -9.669  31.1 120.82  0.000
## 5   5.431                0.01357  3 -9.722  31.2 120.92  0.000
## 7   5.400        0.05516 0.02150  4 -9.658  35.0 124.70  0.000
## Models ranked by BIC(x) 
## 
## [[24]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2         x3 df  logLik   BIC  delta weight
## 2   4.927 1.058                      3  41.498 -71.3   0.00  0.727
## 4   4.946 1.059 -0.04505             4  41.865 -68.1   3.18  0.149
## 6   4.927 1.058          -0.0007143  4  41.498 -67.3   3.91  0.103
## 8   4.953 1.058 -0.04708 -0.0113300  5  41.883 -64.2   7.05  0.021
## 1   5.436                            2 -17.486  42.8 114.06  0.000
## 5   5.502                -0.1245000  3 -17.274  46.3 117.54  0.000
## 3   5.445       -0.01927             3 -17.480  46.7 117.95  0.000
## 7   5.526       -0.04352 -0.1343000  4 -17.243  50.1 121.39  0.000
## Models ranked by BIC(x) 
## 
## [[25]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC delta weight
## 2   5.019 0.8677                    3 39.453 -67.2  0.00  0.673
## 4   5.044 0.8888 -0.07171           4 40.137 -64.6  2.54  0.189
## 6   5.030 0.8750          -0.03188  4 39.599 -63.5  3.62  0.110
## 8   5.051 0.8929 -0.06832 -0.02242  5 40.210 -60.9  6.31  0.029
## 1   5.469                           2 -3.476  14.8 81.95  0.000
## 3   5.365         0.20280           3 -2.386  16.5 83.68  0.000
## 5   5.392                  0.16780  3 -2.699  17.1 84.30  0.000
## 7   5.318         0.17520  0.13300  4 -1.900  19.4 86.62  0.000
## Models ranked by BIC(x) 
## 
## [[26]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.942 0.9849                   3  41.168 -70.6   0.00  0.577
## 4   4.981 0.9990 -0.08615          4  42.298 -68.9   1.65  0.253
## 6   4.925 0.9793          0.04075  4  41.535 -67.4   3.18  0.118
## 8   4.964 0.9934 -0.08632 0.04100  5  42.688 -65.8   4.78  0.053
## 1   5.466                          2 -13.941  35.7 106.31  0.000
## 5   5.386                 0.16550  3 -13.255  38.2 108.85  0.000
## 3   5.393         0.13450          3 -13.630  39.0 109.60  0.000
## 7   5.318         0.12890 0.16240  4 -12.963  41.6 112.17  0.000
## Models ranked by BIC(x) 
## 
## [[27]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2         x3 df  logLik   BIC  delta weight
## 2   4.979 0.9742                      3  44.088 -76.4   0.00  0.464
## 4   5.026 0.9863 -0.09321             4  45.923 -76.2   0.24  0.411
## 6   4.979 0.9744           0.0005246  4  44.088 -72.5   3.91  0.066
## 8   5.029 0.9853 -0.09339 -0.0039240  5  45.926 -72.3   4.15  0.058
## 1   5.480                             2 -11.467  30.8 107.20  0.000
## 5   5.598                 -0.2444000  3 -10.045  31.8 108.27  0.000
## 3   5.457         0.03986             3 -11.431  34.6 111.04  0.000
## 7   5.585         0.02058 -0.2428000  4 -10.035  35.7 112.16  0.000
## Models ranked by BIC(x) 
## 
## [[28]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   BIC  delta weight
## 2   4.962 0.9570                   3 49.131 -86.5   0.00  0.550
## 4   4.997 0.9531 -0.07555          4 50.421 -85.2   1.33  0.283
## 6   4.943 0.9495          0.04248  4 49.514 -83.4   3.15  0.114
## 8   4.980 0.9471 -0.07228 0.03553  5 50.700 -81.8   4.69  0.053
## 1   5.389                          2 -6.807  21.4 107.96  0.000
## 5   5.278                 0.21700  3 -5.688  23.1 109.64  0.000
## 3   5.445        -0.12600          3 -6.430  24.6 111.12  0.000
## 7   5.330        -0.10520 0.20620  4 -5.417  26.5 113.01  0.000
## Models ranked by BIC(x) 
## 
## [[29]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1         x2      x3 df logLik   BIC  delta weight
## 2   4.972 0.9416                     3 50.457 -89.2   0.00  0.746
## 6   4.958 0.9415            0.03042  4 50.658 -85.7   3.51  0.129
## 4   4.969 0.9410  5.441e-03          4 50.465 -85.3   3.90  0.106
## 8   4.958 0.9415 -3.664e-05 0.03043  5 50.658 -81.8   7.42  0.018
## 1   5.484                            2 -8.024  23.9 113.05  0.000
## 3   5.438         9.642e-02          3 -7.775  27.3 116.46  0.000
## 5   5.469                   0.03442  3 -7.999  27.7 116.91  0.000
## 7   5.433         9.412e-02 0.01289  4 -7.772  31.2 120.37  0.000
## Models ranked by BIC(x) 
## 
## [[30]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   BIC delta weight
## 2   4.998 0.9263                   3 36.777 -61.8  0.00  0.707
## 4   5.030 0.9172 -0.04949          4 37.132 -58.6  3.20  0.143
## 6   4.983 0.9248          0.03519  4 36.996 -58.3  3.47  0.125
## 8   5.015 0.9155 -0.05052 0.03635  5 37.369 -55.2  6.64  0.026
## 1   5.453                          2 -8.828  25.5 87.30  0.000
## 3   5.572        -0.21930          3 -7.643  27.0 88.84  0.000
## 5   5.422                 0.06803  3 -8.696  29.1 90.95  0.000
## 7   5.540        -0.22070 0.07168  4 -7.489  30.6 92.44  0.000
## Models ranked by BIC(x) 
## 
## [[31]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   BIC  delta weight
## 2   4.938 1.053                     3  41.007 -70.3   0.00  0.501
## 4   4.979 1.065 -0.10280            4  42.668 -69.7   0.59  0.373
## 6   4.948 1.047          -0.015420  4  41.044 -66.4   3.84  0.074
## 8   4.978 1.066 -0.10320  0.002164  5  42.668 -65.8   4.50  0.053
## 5   5.666                -0.394800  3 -11.894  35.5 105.80  0.000
## 1   5.476                           2 -14.987  37.8 108.08  0.000
## 7   5.621        0.10880 -0.406100  4 -11.675  39.0 109.28  0.000
## 3   5.448        0.06095            3 -14.926  41.6 111.87  0.000
## Models ranked by BIC(x) 
## 
## [[32]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1      x2       x3 df  logLik   BIC  delta weight
## 2   4.931 1.016                   3  51.984 -92.2   0.00  0.749
## 6   4.941 1.019         -0.02238  4  52.141 -88.6   3.60  0.124
## 4   4.927 1.014 0.01211           4  52.015 -88.4   3.85  0.109
## 8   4.937 1.017 0.01136 -0.02212  5  52.169 -84.8   7.45  0.018
## 1   5.400                         2 -12.737  33.3 125.53  0.000
## 3   5.284       0.24540           3 -11.714  35.2 127.40  0.000
## 5   5.351                0.09674  3 -12.512  36.8 128.99  0.000
## 7   5.234       0.24570  0.09737  4 -11.477  38.6 130.83  0.000
## Models ranked by BIC(x) 
## 
## [[33]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1      x2         x3 df  logLik   BIC delta weight
## 2   4.939 1.056                     3  35.654 -59.6  0.00  0.521
## 4   4.989 1.051 -0.1096             4  37.223 -58.8  0.77  0.354
## 6   4.939 1.056         -0.0001649  4  35.654 -55.7  3.91  0.074
## 8   4.984 1.050 -0.1107  0.0111600  5  37.239 -54.9  4.65  0.051
## 1   5.480                           2 -12.060  31.9 91.52  0.000
## 3   5.548       -0.1555             3 -11.601  34.9 94.51  0.000
## 5   5.391                0.1541000  3 -11.628  35.0 94.56  0.000
## 7   5.457       -0.1708  0.1702000  4 -11.067  37.8 97.35  0.000
## Models ranked by BIC(x) 
## 
## [[34]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   BIC  delta weight
## 2   4.955 0.9808                     3 40.473 -69.2   0.00  0.622
## 4   4.994 0.9829 -0.07138            4 41.530 -67.4   1.80  0.253
## 6   4.954 0.9807           0.001789  4 40.473 -65.3   3.91  0.088
## 8   4.997 0.9832 -0.07200 -0.006400  5 41.537 -63.5   5.70  0.036
## 1   5.423                            2 -9.371  26.6  95.78  0.000
## 3   5.450        -0.04732            3 -9.309  30.4  99.56  0.000
## 5   5.405                  0.042780  3 -9.328  30.4  99.60  0.000
## 7   5.432        -0.04371  0.037870  4 -9.275  34.2 103.41  0.000
## Models ranked by BIC(x) 
## 
## [[35]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.942 1.052                    3  43.146 -74.6   0.00  0.579
## 4   4.990 1.040 -0.08514           4  44.403 -73.2   1.40  0.288
## 6   4.951 1.051          -0.01803  4  43.218 -70.8   3.77  0.088
## 8   5.000 1.039 -0.08558 -0.01950  5  44.491 -69.4   5.13  0.045
## 1   5.518                          2 -12.761  33.3 107.90  0.000
## 3   5.639       -0.24930           3 -11.584  34.9 109.46  0.000
## 5   5.545                -0.05613  3 -12.686  37.1 111.66  0.000
## 7   5.668       -0.25020 -0.05910  4 -11.497  38.6 113.20  0.000
## Models ranked by BIC(x) 
## 
## [[36]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2         x3 df  logLik   BIC  delta weight
## 2   4.960 1.025                      3  52.842 -93.9   0.00  0.621
## 4   4.995 1.017 -0.06834             4  53.906 -92.2   1.78  0.254
## 6   4.960 1.025           1.599e-06  4  52.842 -90.0   3.91  0.088
## 8   4.990 1.019 -0.07020  9.840e-03  5  53.936 -88.3   5.64  0.037
## 1   5.440                            2 -15.649  39.1 133.07  0.000
## 5   5.547                -2.082e-01  3 -14.759  41.3 135.20  0.000
## 3   5.550       -0.23790             3 -14.805  41.3 135.29  0.000
## 7   5.624       -0.19970 -1.768e-01  4 -14.166  44.0 137.93  0.000
## Models ranked by BIC(x) 
## 
## [[37]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   BIC delta weight
## 2   4.980 0.9522                    3  37.325 -62.9  0.00  0.503
## 6   5.037 0.9424          -0.09717  4  38.951 -62.3  0.66  0.362
## 4   4.993 0.9568 -0.03170           4  37.471 -59.3  3.62  0.082
## 8   5.042 0.9450 -0.01629 -0.09486  5  38.992 -58.4  4.49  0.053
## 1   5.486                           2 -10.294  28.4 91.33  0.000
## 5   5.586                 -0.18620  3  -9.409  30.6 93.47  0.000
## 3   5.431         0.11490           3 -10.000  31.7 94.65  0.000
## 7   5.527         0.14430 -0.20440  4  -8.937  33.5 96.44  0.000
## Models ranked by BIC(x) 
## 
## [[38]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   BIC  delta weight
## 2   4.945 0.9772                   3 46.797 -81.9   0.00  0.713
## 4   4.961 0.9874 -0.04051          4 47.197 -78.7   3.11  0.150
## 6   4.937 0.9710          0.02435  4 46.912 -78.2   3.68  0.113
## 8   4.953 0.9812 -0.04031 0.02394  5 47.310 -75.1   6.80  0.024
## 1   5.465                          2 -4.683  17.2  99.05  0.000
## 5   5.360                 0.23940  3 -3.136  18.0  99.86  0.000
## 3   5.394         0.13440          3 -4.092  19.9 101.78  0.000
## 7   5.297         0.12580 0.23370  4 -2.587  20.8 102.68  0.000
## Models ranked by BIC(x) 
## 
## [[39]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   BIC  delta weight
## 2   5.006 0.9390                   3 43.680 -75.6   0.00  0.674
## 4   5.023 0.9490 -0.05316          4 44.332 -73.0   2.61  0.183
## 6   4.992 0.9329          0.03336  4 43.867 -72.1   3.54  0.115
## 8   5.013 0.9444 -0.04929 0.02100  5 44.404 -69.2   6.38  0.028
## 1   5.496                          2 -6.049  19.9  95.55  0.000
## 5   5.384                 0.20990  3 -4.983  21.7  97.33  0.000
## 3   5.461         0.08407          3 -5.821  23.4  99.00  0.000
## 7   5.321         0.11990 0.23460  4 -4.514  24.7 100.30  0.000
## Models ranked by BIC(x) 
## 
## [[40]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.910 1.069                   3  46.102 -80.5   0.00  0.760
## 6   4.903 1.068          0.01401  4  46.143 -76.6   3.83  0.112
## 4   4.919 1.066 -0.01359          4  46.140 -76.6   3.84  0.112
## 8   4.912 1.065 -0.01246 0.01293  5  46.175 -72.8   7.68  0.016
## 1   5.448                         2 -14.322  36.5 116.94  0.000
## 3   5.606       -0.29000          3 -12.602  36.9 117.41  0.000
## 5   5.390                0.11050  3 -14.092  39.9 120.39  0.000
## 7   5.559       -0.28170 0.07969  4 -12.476  40.6 121.07  0.000
## Models ranked by BIC(x) 
## 
## [[41]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.969 0.9919                    3  46.781 -81.8   0.00  0.629
## 4   5.006 0.9832 -0.06043           4  47.641 -79.6   2.19  0.210
## 6   4.980 1.0000          -0.03059  4  47.017 -78.4   3.44  0.113
## 8   5.027 0.9937 -0.07004 -0.04455  5  48.139 -76.7   5.11  0.049
## 1   5.513                           2 -13.874  35.6 117.40  0.000
## 5   5.398                  0.22960  3 -12.587  36.9 118.74  0.000
## 3   5.628        -0.21720           3 -12.866  37.5 119.29  0.000
## 7   5.507        -0.16860  0.19200  4 -11.989  39.6 121.45  0.000
## Models ranked by BIC(x) 
## 
## [[42]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   BIC  delta weight
## 2   4.971 0.9651                     3 50.615 -89.5   0.00  0.469
## 4   5.024 0.9430 -0.08175            4 52.419 -89.2   0.30  0.403
## 6   4.975 0.9650          -0.006713  4 50.630 -85.6   3.88  0.067
## 8   5.020 0.9421 -0.08577  0.013370  5 52.479 -85.4   4.10  0.060
## 3   5.572        -0.32560            3 -6.390  24.5 114.01  0.000
## 1   5.400                            2 -9.255  26.3 115.83  0.000
## 7   5.551        -0.34290  0.060680  4 -6.272  28.2 117.69  0.000
## 5   5.410                 -0.020930  3 -9.241  30.2 119.71  0.000
## Models ranked by BIC(x) 
## 
## [[43]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   BIC delta weight
## 2   4.931 1.068                   3  35.235 -58.7  0.00  0.630
## 6   4.892 1.046          0.09101  4  36.246 -56.8  1.89  0.245
## 4   4.936 1.068 -0.01032          4  35.253 -54.9  3.88  0.091
## 8   4.884 1.046  0.01166 0.09477  5  36.268 -53.0  5.76  0.035
## 5   5.230                0.33820  3 -10.254  32.2 90.98  0.000
## 1   5.411                         2 -12.498  32.8 91.55  0.000
## 7   5.187        0.06274 0.35750  4 -10.155  36.0 94.69  0.000
## 3   5.422       -0.02099          3 -12.487  36.7 95.44  0.000
## Models ranked by BIC(x) 
## 
## [[44]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC delta weight
## 2   5.014 0.8867                    3 39.156 -66.6  0.00  0.622
## 4   5.043 0.8970 -0.06968           4 40.153 -64.7  1.92  0.238
## 6   5.024 0.8947          -0.02574  4 39.266 -62.9  3.69  0.098
## 8   5.057 0.9085 -0.07332 -0.03498  5 40.362 -61.2  5.41  0.042
## 1   5.456                           2 -4.233  16.3 82.87  0.000
## 5   5.350                  0.20340  3 -2.880  17.5 84.07  0.000
## 3   5.443         0.02719           3 -4.207  20.1 86.72  0.000
## 7   5.328         0.04141  0.20660  4 -2.815  21.3 87.85  0.000
## Models ranked by BIC(x) 
## 
## [[45]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   BIC delta weight
## 2   4.946 0.9742                     3 38.469 -65.2  0.00  0.762
## 4   4.958 0.9714 -0.01941            4 38.514 -61.4  3.82  0.113
## 6   4.949 0.9749          -0.008615  4 38.480 -61.3  3.89  0.109
## 8   4.964 0.9720 -0.02150 -0.011680  5 38.534 -57.5  7.69  0.016
## 1   5.394                            2 -7.627  23.1 88.28  0.000
## 3   5.494        -0.17600            3 -7.012  25.8 90.96  0.000
## 5   5.369                  0.058380  3 -7.544  26.8 92.03  0.000
## 7   5.476        -0.16990  0.032620  4 -6.986  29.6 94.82  0.000
## Models ranked by BIC(x) 
## 
## [[46]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   BIC  delta weight
## 2   4.920 1.118                     3  50.606 -89.5   0.00  0.715
## 4   4.942 1.107 -0.04173            4  51.059 -86.5   3.01  0.159
## 6   4.925 1.116          -0.008217  4  50.623 -85.6   3.88  0.103
## 8   4.946 1.105 -0.04153 -0.007013  5  51.071 -82.6   6.89  0.023
## 7   5.791       -0.35940 -0.339300  4 -15.713  47.1 136.55  0.000
## 3   5.633       -0.39960            3 -17.837  47.4 136.89  0.000
## 5   5.675                -0.382800  3 -18.138  48.0 137.49  0.000
## 1   5.479                           2 -20.610  49.0 138.52  0.000
## Models ranked by BIC(x) 
## 
## [[47]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2       x3 df  logLik   BIC  delta weight
## 2   4.941 0.9803                     3  42.039 -72.3   0.00  0.738
## 6   4.959 0.9778           -0.04106  4  42.316 -69.0   3.36  0.138
## 4   4.945 0.9798 -0.006742           4  42.048 -68.4   3.89  0.105
## 8   4.962 0.9775 -0.005552 -0.04086  5  42.323 -65.1   7.26  0.020
## 1   5.382                            2 -13.430  34.7 107.03  0.000
## 5   5.430                  -0.11660  3 -13.186  38.1 110.45  0.000
## 3   5.426        -0.076780           3 -13.301  38.3 110.68  0.000
## 7   5.471        -0.073010 -0.11370  4 -13.068  41.8 114.13  0.000
## Models ranked by BIC(x) 
## 
## [[48]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.951 1.029                   3  44.057 -76.4   0.00  0.641
## 4   4.979 1.030 -0.06648          4  44.792 -73.9   2.44  0.189
## 6   4.934 1.029          0.04017  4  44.360 -73.1   3.31  0.123
## 8   4.961 1.031 -0.07796 0.05456  5  45.347 -71.1   5.24  0.047
## 1   5.447                         2 -16.847  41.5 117.90  0.000
## 3   5.462       -0.03564          3 -16.829  45.4 121.77  0.000
## 5   5.438                0.02234  3 -16.839  45.4 121.79  0.000
## 7   5.453       -0.04195 0.03007  4 -16.814  49.3 125.66  0.000
## Models ranked by BIC(x) 
## 
## [[49]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.959 0.9696                    3  42.027 -72.3   0.00  0.649
## 6   4.993 0.9618          -0.06871  4  42.689 -69.7   2.59  0.178
## 4   4.984 0.9723 -0.04665           4  42.420 -69.2   3.13  0.136
## 8   5.019 0.9645 -0.04661 -0.06867  5  43.091 -66.6   5.70  0.038
## 1   5.455                           2 -11.028  29.9 102.20  0.000
## 5   5.552                 -0.22070  3 -10.193  32.1 104.44  0.000
## 3   5.448         0.01310           3 -11.024  33.8 106.10  0.000
## 7   5.546         0.01170 -0.22060  4 -10.190  36.0 108.35  0.000
## Models ranked by BIC(x) 
## 
## [[50]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   BIC  delta weight
## 2   4.965 0.9925                   3 43.057 -74.4   0.00  0.616
## 4   4.989 1.0030 -0.06062          4 43.913 -72.2   2.20  0.205
## 6   4.947 0.9859          0.04718  4 43.444 -71.2   3.14  0.128
## 8   4.969 0.9967 -0.06636 0.05619  5 44.475 -69.4   4.99  0.051
## 1   5.495                          2 -8.336  24.5  98.88  0.000
## 5   5.411                 0.18190  3 -7.581  26.9 101.28  0.000
## 3   5.459         0.07319          3 -8.175  28.1 102.46  0.000
## 7   5.389         0.05266 0.17350  4 -7.497  30.6 105.02  0.000
## Models ranked by BIC(x) 
## 
## [[51]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   BIC  delta weight
## 2   4.980 0.9500                   3 43.304 -74.9   0.00  0.517
## 4   5.019 0.9569 -0.08229          4 44.728 -73.8   1.06  0.304
## 6   4.959 0.9422          0.05099  4 43.798 -71.9   2.92  0.120
## 8   5.000 0.9504 -0.07701 0.03993  5 45.041 -70.5   4.35  0.059
## 1   5.396                          2 -7.176  22.2  97.05  0.000
## 5   5.310                 0.18560  3 -6.280  24.3  99.17  0.000
## 3   5.402        -0.01159          3 -7.173  26.1 100.95  0.000
## 7   5.303         0.01088 0.18700  4 -6.277  28.2 103.07  0.000
## Models ranked by BIC(x) 
## 
## [[52]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.946 1.053                    3  39.890 -68.0   0.00  0.630
## 4   4.984 1.040 -0.06318           4  40.635 -65.6   2.42  0.188
## 6   4.919 1.059           0.04849  4  40.347 -65.0   3.00  0.141
## 8   4.957 1.046 -0.06195  0.04695  5  41.077 -62.6   5.45  0.041
## 1   5.452                          2 -10.419  28.7  96.71  0.000
## 3   5.565       -0.22470           3  -9.102  29.9  97.98  0.000
## 5   5.473                -0.04314  3 -10.370  32.5 100.52  0.000
## 7   5.587       -0.22510 -0.04476  4  -9.047  33.7 101.79  0.000
## Models ranked by BIC(x) 
## 
## [[53]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1        x2       x3 df  logLik   BIC  delta weight
## 2   4.871 1.132                     3  45.310 -78.9   0.00  0.763
## 6   4.863 1.135            0.01298  4  45.351 -75.1   3.83  0.112
## 4   4.875 1.131 -0.006769           4  45.318 -75.0   3.89  0.109
## 8   4.866 1.135 -0.003927  0.01229  5  45.354 -71.1   7.74  0.016
## 1   5.504                           2 -15.838  39.5 118.38  0.000
## 5   5.610                 -0.22970  3 -14.615  41.0 119.85  0.000
## 3   5.557       -0.111300           3 -15.635  43.0 121.89  0.000
## 7   5.699       -0.163200 -0.25380  4 -14.169  44.0 122.87  0.000
## Models ranked by BIC(x) 
## 
## [[54]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC  delta weight
## 2   4.992 0.9387                    3 44.551 -77.4   0.00  0.590
## 4   5.028 0.9509 -0.07401           4 45.648 -75.6   1.72  0.250
## 6   4.964 0.9455           0.04284  4 44.903 -74.2   3.21  0.119
## 8   5.006 0.9545 -0.06818  0.02855  5 45.804 -72.0   5.32  0.041
## 1   5.542                           2 -4.761  17.3  94.71  0.000
## 5   5.594                 -0.09247  3 -4.528  20.8  98.16  0.000
## 3   5.505         0.06348           3 -4.649  21.0  98.40  0.000
## 7   5.562         0.04522 -0.08214  4 -4.473  24.6 101.96  0.000
## Models ranked by BIC(x) 
## 
## [[55]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.995 0.9259                    3  47.187 -82.6   0.00  0.633
## 4   5.020 0.9314 -0.05718           4  47.924 -80.2   2.44  0.187
## 6   5.015 0.9263          -0.03984  4  47.604 -79.6   3.08  0.136
## 8   5.043 0.9321 -0.05977 -0.04292  5  48.422 -77.3   5.35  0.044
## 1   5.430                           2 -11.266  30.4 112.99  0.000
## 3   5.405         0.05176           3 -11.207  34.2 116.79  0.000
## 5   5.445                 -0.02936  3 -11.244  34.2 116.86  0.000
## 7   5.419         0.05020 -0.02683  4 -11.189  38.0 120.66  0.000
## Models ranked by BIC(x) 
## 
## [[56]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC  delta weight
## 2   4.990 0.9312                    3 49.088 -86.4   0.00  0.617
## 4   5.015 0.9369 -0.06089           4 50.113 -84.6   1.86  0.243
## 6   4.977 0.9340           0.02260  4 49.223 -82.8   3.64  0.100
## 8   5.001 0.9398 -0.06121  0.02345  5 50.265 -81.0   5.47  0.040
## 1   5.404                           2 -7.715  23.3 109.69  0.000
## 5   5.449                 -0.08319  3 -7.523  26.8 113.22  0.000
## 3   5.396         0.01945           3 -7.705  27.1 113.58  0.000
## 7   5.440         0.01971 -0.08326  4 -7.512  30.7 117.11  0.000
## Models ranked by BIC(x) 
## 
## [[57]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df logLik   BIC  delta weight
## 2   4.959 1.002                     3 44.106 -76.5   0.00  0.734
## 4   4.977 1.009 -0.04052            4 44.421 -73.2   3.28  0.142
## 6   4.958 1.002           0.001402  4 44.107 -72.6   3.91  0.104
## 8   4.974 1.009 -0.04095  0.004566  5 44.426 -69.3   7.19  0.020
## 1   5.468                           2 -7.060  21.9  98.42  0.000
## 3   5.408        0.11250            3 -6.738  25.2 101.69  0.000
## 5   5.477                -0.017680  3 -7.051  25.8 102.31  0.000
## 7   5.420        0.11480 -0.026160  4 -6.718  29.1 105.56  0.000
## Models ranked by BIC(x) 
## 
## [[58]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   BIC  delta weight
## 2   4.976 0.9752                   3 48.916 -86.1   0.00  0.536
## 4   5.018 0.9862 -0.08939          4 50.385 -85.1   0.97  0.329
## 6   4.965 0.9755          0.02206  4 49.038 -82.4   3.67  0.086
## 8   5.010 0.9861 -0.08752 0.01328  5 50.431 -81.3   4.79  0.049
## 1   5.437                          2 -9.570  27.0 113.06  0.000
## 3   5.397         0.07477          3 -9.471  30.7 116.77  0.000
## 5   5.431                 0.01107  3 -9.567  30.9 116.96  0.000
## 7   5.386         0.07742 0.01895  4 -9.463  34.6 120.67  0.000
## Models ranked by BIC(x) 
## 
## [[59]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.940 1.032                   3  44.776 -77.8   0.00  0.708
## 6   4.922 1.027          0.04325  4  45.195 -74.7   3.07  0.152
## 4   4.950 1.035 -0.02225          4  44.889 -74.1   3.68  0.112
## 8   4.934 1.030 -0.03106 0.04899  5  45.413 -71.3   6.55  0.027
## 1   5.434                         2 -15.742  39.3 117.12  0.000
## 5   5.355                0.17310  3 -15.133  42.0 119.82  0.000
## 3   5.369        0.12640          3 -15.408  42.6 120.37  0.000
## 7   5.314        0.09668 0.15380  4 -14.941  45.5 123.35  0.000
## Models ranked by BIC(x) 
## 
## [[60]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2     x3 df  logLik   BIC delta weight
## 6   4.868 1.025          0.1230  4  35.187 -54.7  0.00  0.434
## 2   4.924 1.041                  3  33.179 -54.6  0.10  0.412
## 8   4.887 1.034 -0.03988 0.1220  5  35.429 -51.3  3.43  0.078
## 4   4.944 1.049 -0.04266         4  33.436 -51.2  3.50  0.075
## 1   5.364                        2 -14.080  36.0 90.71  0.000
## 5   5.237                0.2499  3 -12.829  37.4 92.12  0.000
## 3   5.278        0.15170         3 -13.568  38.9 93.60  0.000
## 7   5.151        0.15150 0.2497  4 -12.292  40.2 94.96  0.000
## Models ranked by BIC(x) 
## 
## [[61]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.946 1.040                    3  45.413 -79.1   0.00  0.629
## 4   4.978 1.046 -0.06716           4  46.379 -77.1   1.98  0.234
## 6   4.959 1.038          -0.02275  4  45.527 -75.4   3.68  0.100
## 8   4.991 1.043 -0.06699 -0.02227  5  46.493 -73.4   5.67  0.037
## 1   5.449                          2 -12.449  32.7 111.81  0.000
## 5   5.521                -0.12940  3 -12.079  35.9 114.99  0.000
## 3   5.438        0.02103           3 -12.440  36.6 115.71  0.000
## 7   5.510        0.02080 -0.12940  4 -12.070  39.8 118.88  0.000
## Models ranked by BIC(x) 
## 
## [[62]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.954 0.9675                    3  49.039 -86.3   0.00  0.722
## 4   4.968 0.9676 -0.03068           4  49.277 -82.9   3.44  0.129
## 6   4.968 0.9669          -0.02869  4  49.233 -82.8   3.52  0.124
## 8   4.991 0.9669 -0.03839 -0.03722  5  49.592 -79.6   6.72  0.025
## 1   5.396                           2 -11.166  30.2 116.50  0.000
## 5   5.421                 -0.05041  3 -11.112  34.0 120.30  0.000
## 3   5.409        -0.02744           3 -11.149  34.0 120.38  0.000
## 7   5.444        -0.03971 -0.05924  4 -11.078  37.8 124.15  0.000
## Models ranked by BIC(x) 
## 
## [[63]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1      x2      x3 df  logLik   BIC  delta weight
## 2   4.960 0.9611                  3  41.901 -72.1   0.00  0.461
## 4   5.026 0.9509 -0.1091          4  43.583 -71.5   0.55  0.351
## 6   4.939 0.9558         0.04804  4  42.337 -69.0   3.04  0.101
## 8   5.004 0.9447 -0.1122 0.05275  5  44.144 -68.7   3.34  0.087
## 1   5.405                         2 -11.610  31.0 103.11  0.000
## 3   5.539        -0.2406          3 -10.650  33.0 105.10  0.000
## 5   5.324                0.16240  3 -11.015  33.8 105.83  0.000
## 7   5.459        -0.2476 0.16990  4  -9.973  35.6 107.66  0.000
## Models ranked by BIC(x) 
## 
## [[64]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.900 1.080                    3  49.351 -87.0   0.00  0.729
## 4   4.923 1.069 -0.03395           4  49.668 -83.7   3.28  0.142
## 6   4.893 1.081           0.01395  4  49.402 -83.2   3.81  0.108
## 8   4.916 1.070 -0.03340  0.01240  5  49.709 -79.9   7.11  0.021
## 3   5.669       -0.38430           3 -14.701  41.1 128.10  0.000
## 1   5.475                          2 -17.982  43.8 130.75  0.000
## 7   5.706       -0.38570 -0.07123  4 -14.598  44.8 131.81  0.000
## 5   5.506                -0.06272  3 -17.912  47.6 134.53  0.000
## Models ranked by BIC(x) 
## 
## [[65]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC  delta weight
## 4   5.016 0.9740 -0.08765           4 49.375 -83.1   0.00  0.351
## 2   4.963 0.9902                    3 47.172 -82.6   0.49  0.274
## 6   4.918 0.9963           0.07900  4 48.961 -82.3   0.83  0.232
## 8   4.972 0.9816 -0.07195  0.06046  5 50.428 -81.3   1.81  0.142
## 1   5.434                           2 -9.661  27.1 110.25  0.000
## 3   5.553        -0.22890           3 -8.091  27.9 111.02  0.000
## 5   5.425                  0.01667  3 -9.653  31.0 114.15  0.000
## 7   5.581        -0.23900 -0.04185  4 -8.041  31.7 114.83  0.000
## Models ranked by BIC(x) 
## 
## [[66]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.934 1.025                    3  46.864 -82.0   0.00  0.622
## 6   4.968 1.025          -0.06916  4  47.856 -80.1   1.93  0.237
## 4   4.948 1.023 -0.02564           4  46.986 -78.3   3.67  0.099
## 8   4.988 1.023 -0.03373 -0.07259  5  48.074 -76.6   5.40  0.042
## 1   5.507                          2 -19.558  46.9 128.93  0.000
## 3   5.586       -0.15590           3 -19.236  50.2 132.20  0.000
## 5   5.542                -0.07232  3 -19.483  50.7 132.69  0.000
## 7   5.635       -0.16580 -0.08912  4 -19.123  53.9 135.89  0.000
## Models ranked by BIC(x) 
## 
## [[67]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC delta weight
## 2   5.001 0.9226                    3 40.866 -70.0  0.00  0.537
## 4   5.048 0.9151 -0.09138           4 42.304 -69.0  1.04  0.320
## 6   5.014 0.9276          -0.03168  4 41.069 -66.5  3.51  0.093
## 8   5.055 0.9187 -0.08828 -0.02065  5 42.393 -65.2  4.77  0.049
## 1   5.493                           2 -6.849  21.5 91.52  0.000
## 3   5.571        -0.16620           3 -6.150  24.0 94.03  0.000
## 5   5.449                  0.09031  3 -6.600  24.9 94.93  0.000
## 7   5.525        -0.18120  0.11050  4 -5.770  27.2 97.19  0.000
## Models ranked by BIC(x) 
## 
## [[68]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.998 0.9228                    3  42.957 -74.2   0.00  0.706
## 4   5.015 0.9388 -0.05210           4  43.479 -71.3   2.87  0.168
## 6   4.994 0.9223          0.008210  4  42.973 -70.3   3.88  0.101
## 8   5.011 0.9384 -0.05186 0.006638  5  43.489 -67.4   6.76  0.024
## 1   5.557                           2 -10.178  28.2 102.36  0.000
## 3   5.434         0.24530           3  -8.617  29.0 103.15  0.000
## 5   5.528                 0.057160  3 -10.087  31.9 106.09  0.000
## 7   5.403         0.24630 0.060580  4  -8.508  32.7 106.84  0.000
## Models ranked by BIC(x) 
## 
## [[69]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.947 1.080                   3  49.133 -86.5   0.00  0.728
## 4   4.963 1.076 -0.02927          4  49.383 -83.1   3.41  0.132
## 6   4.936 1.078          0.02378  4  49.267 -82.9   3.64  0.118
## 8   4.952 1.073 -0.02994 0.02477  5  49.530 -79.5   7.03  0.022
## 1   5.554                         2 -17.138  42.1 128.63  0.000
## 3   5.635       -0.17270          3 -16.506  44.7 131.28  0.000
## 5   5.476                0.14930  3 -16.758  45.3 131.78  0.000
## 7   5.556       -0.17470 0.15210  4 -16.102  47.9 134.38  0.000
## Models ranked by BIC(x) 
## 
## [[70]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.948 1.0090                    3  51.368 -91.0   0.00  0.436
## 4   4.978 1.0050 -0.06909           4  52.832 -90.0   0.98  0.267
## 6   4.987 1.0010          -0.06179  4  52.425 -89.2   1.80  0.177
## 8   5.017 0.9974 -0.06982 -0.06268  5  53.987 -88.4   2.59  0.120
## 1   5.454                           2 -14.662  37.1 128.15  0.000
## 5   5.571                 -0.20660  3 -13.808  39.4 130.35  0.000
## 3   5.505        -0.12870           3 -14.306  40.3 131.35  0.000
## 7   5.623        -0.12960 -0.20720  4 -13.435  42.5 133.52  0.000
## Models ranked by BIC(x) 
## 
## [[71]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.945 1.038                    3  44.323 -76.9   0.00  0.567
## 6   4.983 1.037          -0.07068  4  45.461 -75.3   1.64  0.250
## 4   4.975 1.028 -0.04882           4  44.844 -74.0   2.87  0.135
## 8   5.003 1.030 -0.03752 -0.06427  5  45.772 -72.0   4.93  0.048
## 1   5.444                          2 -17.223  42.3 119.18  0.000
## 3   5.587       -0.28130           3 -15.643  43.0 119.93  0.000
## 5   5.483                -0.07281  3 -17.122  46.0 122.89  0.000
## 7   5.598       -0.27700 -0.02539  4 -15.630  46.9 123.82  0.000
## Models ranked by BIC(x) 
## 
## [[72]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik   BIC  delta weight
## 4   5.021 0.9527 -0.09373          4  48.879 -82.1   0.00  0.448
## 2   4.974 0.9725                   3  46.837 -81.9   0.17  0.411
## 8   5.009 0.9485 -0.09459 0.02989  5  49.046 -78.5   3.58  0.075
## 6   4.963 0.9690          0.02632  4  46.956 -78.3   3.84  0.066
## 3   5.601        -0.31480          3 -10.270  32.3 114.39  0.000
## 1   5.476                          2 -12.533  32.9 115.00  0.000
## 7   5.496        -0.31400 0.21620  4  -9.415  34.5 116.59  0.000
## 5   5.370                 0.21780  3 -11.742  35.2 117.33  0.000
## Models ranked by BIC(x) 
## 
## [[73]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   BIC  delta weight
## 2   4.959 0.9995                   3 47.203 -82.7   0.00  0.499
## 6   4.912 1.0020          0.08407  4 48.833 -82.0   0.65  0.360
## 4   4.964 0.9992 -0.01109          4 47.231 -78.8   3.86  0.073
## 8   4.923 1.0020 -0.03540 0.09356  5 49.121 -78.7   3.99  0.068
## 1   5.438                          2 -6.478  20.8 103.45  0.000
## 5   5.408                 0.05481  3 -6.400  24.5 107.21  0.000
## 3   5.452        -0.03269          3 -6.450  24.6 107.30  0.000
## 7   5.423        -0.05050 0.06838  4 -6.336  28.3 110.99  0.000
## Models ranked by BIC(x) 
## 
## [[74]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC  delta weight
## 2   4.981 0.9013                    3 46.757 -81.8   0.00  0.575
## 4   5.024 0.8975 -0.07234           4 47.963 -80.3   1.50  0.271
## 6   4.995 0.9090          -0.04133  4 47.076 -78.5   3.27  0.112
## 8   5.028 0.9021 -0.06715 -0.02280  5 48.058 -76.6   5.22  0.042
## 1   5.451                           2 -9.550  26.9 108.70  0.000
## 5   5.371                  0.18750  3 -8.820  29.4 111.15  0.000
## 3   5.521        -0.12580           3 -9.172  30.1 111.86  0.000
## 7   5.451        -0.17570  0.23150  4 -8.096  31.8 113.62  0.000
## Models ranked by BIC(x) 
## 
## [[75]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC  delta weight
## 2   4.954 0.9875                    3 50.653 -89.6   0.00  0.744
## 4   4.937 0.9962  0.02651           4 50.861 -86.1   3.50  0.129
## 6   4.958 0.9908          -0.01014  4 50.677 -85.7   3.86  0.108
## 8   4.942 1.0020  0.02851 -0.01495  5 50.912 -82.3   7.31  0.019
## 1   5.399                           2 -3.836  15.5 105.07  0.000
## 5   5.257                  0.24850  3 -1.996  15.7 105.30  0.000
## 7   5.347        -0.19600  0.26200  4 -0.478  16.6 106.17  0.000
## 3   5.490        -0.18160           3 -2.629  17.0 106.56  0.000
## Models ranked by BIC(x) 
## 
## [[76]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   BIC  delta weight
## 2   4.947 1.037                     3  37.109 -62.5   0.00  0.631
## 4   4.984 1.042 -0.08301            4  38.111 -60.6   1.91  0.243
## 6   4.948 1.037          -0.001507  4  37.110 -58.6   3.91  0.089
## 8   4.998 1.039 -0.08792 -0.020320  5  38.177 -56.8   5.69  0.037
## 1   5.467                           2 -18.186  44.2 106.68  0.000
## 5   5.568                -0.214400  3 -17.331  46.4 108.88  0.000
## 3   5.469       -0.00578            3 -18.185  48.1 110.59  0.000
## 7   5.605       -0.06376 -0.228200  4 -17.268  50.2 112.67  0.000
## Models ranked by BIC(x) 
## 
## [[77]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   BIC  delta weight
## 2   5.045 0.9173                     3 47.795 -83.9   0.00  0.571
## 4   5.064 0.9391 -0.07109            4 48.779 -81.9   1.94  0.216
## 6   5.017 0.9215           0.054070  4 48.464 -81.3   2.58  0.157
## 8   5.036 0.9422 -0.06806  0.050620  5 49.386 -79.2   4.64  0.056
## 1   5.540                            2 -7.221  22.3 106.12  0.000
## 3   5.433         0.25140            3 -5.681  23.1 106.95  0.000
## 5   5.551                 -0.021530  3 -7.209  26.2 110.01  0.000
## 7   5.435         0.25120 -0.002549  4 -5.681  27.0 110.86  0.000
## Models ranked by BIC(x) 
## 
## [[78]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.883 1.098                    3  41.179 -70.6   0.00  0.484
## 4   4.935 1.097 -0.09783           4  42.896 -70.1   0.48  0.381
## 6   4.868 1.103           0.02678  4  41.315 -67.0   3.64  0.078
## 8   4.927 1.100 -0.09580  0.01287  5  42.929 -66.3   4.32  0.056
## 1   5.427                          2 -16.710  41.2 111.87  0.000
## 5   5.499                -0.15490  3 -16.246  44.2 114.85  0.000
## 3   5.484       -0.10740           3 -16.512  44.8 115.38  0.000
## 7   5.580       -0.13470 -0.17380  4 -15.934  47.5 118.14  0.000
## Models ranked by BIC(x) 
## 
## [[79]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1        x2      x3 df logLik   BIC  delta weight
## 2   4.956 1.025                    3 46.098 -80.5   0.00  0.693
## 6   4.931 1.022           0.05302  4 46.724 -77.8   2.66  0.183
## 4   4.958 1.025 -0.003241          4 46.100 -76.6   3.91  0.098
## 8   4.933 1.022 -0.004163 0.05309  5 46.728 -73.9   6.56  0.026
## 1   5.475                          2 -9.007  25.8 106.30  0.000
## 5   5.425                 0.10100  3 -8.757  29.3 109.71  0.000
## 3   5.488       -0.028000          3 -8.989  29.7 110.17  0.000
## 7   5.438       -0.029620 0.10140  4 -8.737  33.1 113.58  0.000
## Models ranked by BIC(x) 
## 
## [[80]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.943 1.0040                   3  44.772 -77.8   0.00  0.437
## 4   5.000 0.9988 -0.09770          4  46.633 -77.6   0.19  0.397
## 6   4.917 0.9976          0.05198  4  45.220 -74.8   3.02  0.097
## 8   4.979 0.9949 -0.09194 0.03432  5  46.836 -74.1   3.70  0.069
## 1   5.422                          2 -10.864  29.6 107.36  0.000
## 5   5.307                 0.20110  3 -10.121  32.0 109.79  0.000
## 3   5.508        -0.15560          3 -10.366  32.5 110.28  0.000
## 7   5.390        -0.12480 0.17660  4  -9.804  35.3 113.06  0.000
## Models ranked by BIC(x) 
## 
## [[81]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC  delta weight
## 2   4.956 0.9552                    3 46.934 -82.1   0.00  0.686
## 6   4.978 0.9524          -0.04692  4 47.524 -79.4   2.73  0.175
## 4   4.973 0.9489 -0.02604           4 47.066 -78.5   3.65  0.111
## 8   4.997 0.9456 -0.02772 -0.04763  5 47.677 -75.8   6.34  0.029
## 1   5.461                           2 -6.302  20.4 102.56  0.000
## 3   5.596        -0.25330           3 -4.685  21.1 103.24  0.000
## 5   5.502                 -0.09053  3 -6.042  23.8 105.95  0.000
## 7   5.639        -0.25510 -0.09428  4 -4.384  24.4 106.55  0.000
## Models ranked by BIC(x) 
## 
## [[82]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC  delta weight
## 2   4.951 0.9705                    3 47.713 -83.7   0.00  0.690
## 4   4.977 0.9727 -0.05457           4 48.359 -81.1   2.62  0.186
## 6   4.950 0.9701          0.002117  4 47.714 -79.8   3.91  0.098
## 8   4.976 0.9721 -0.05463 0.003078  5 48.362 -77.2   6.53  0.026
## 1   5.420                           2 -8.120  24.1 107.76  0.000
## 5   5.345                 0.153600  3 -7.435  26.6 110.30  0.000
## 3   5.428        -0.01541           3 -8.115  28.0 111.66  0.000
## 7   5.355        -0.01986 0.154100  4 -7.426  30.5 114.19  0.000
## Models ranked by BIC(x) 
## 
## [[83]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.927 1.055                   3  45.749 -79.8   0.00  0.663
## 4   4.958 1.065 -0.06610          4  46.413 -77.2   2.58  0.182
## 6   4.909 1.054          0.03484  4  46.000 -76.4   3.41  0.121
## 8   4.940 1.064 -0.06635 0.03518  5  46.676 -73.8   5.97  0.034
## 1   5.412                         2 -15.552  38.9 118.69  0.000
## 3   5.316        0.17880          3 -15.121  42.0 121.74  0.000
## 5   5.369                0.07719  3 -15.446  42.6 122.39  0.000
## 7   5.276        0.17770 0.07520  4 -15.019  45.7 125.45  0.000
## Models ranked by BIC(x) 
## 
## [[84]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.925 1.013                   3  44.551 -77.4   0.00  0.647
## 4   4.959 1.022 -0.06826          4  45.418 -75.2   2.18  0.218
## 6   4.916 1.007          0.02414  4  44.658 -73.7   3.70  0.102
## 8   4.950 1.017 -0.06718 0.02065  5  45.499 -71.4   5.93  0.033
## 1   5.382                         2 -11.582  31.0 108.35  0.000
## 5   5.236                0.29290  3  -9.728  31.2 108.56  0.000
## 3   5.337        0.08162          3 -11.450  34.6 112.00  0.000
## 7   5.188        0.08561 0.29410  4  -9.571  34.8 112.16  0.000
## Models ranked by BIC(x) 
## 
## [[85]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1      x2        x3 df logLik   BIC delta weight
## 2   5.018 0.9032                    3 41.315 -70.9  0.00  0.526
## 4   5.056 0.9252 -0.0888            4 42.736 -69.8  1.07  0.308
## 6   5.040 0.9058         -0.051430  4 41.765 -67.9  3.01  0.117
## 8   5.065 0.9247 -0.0810 -0.027810  5 42.863 -66.2  4.73  0.049
## 1   5.430                           2 -5.284  18.4 89.29  0.000
## 3   5.366         0.1183            3 -4.878  21.5 92.39  0.000
## 5   5.433                -0.005106  3 -5.283  22.3 93.20  0.000
## 7   5.379         0.1307 -0.044750  4 -4.830  25.3 96.20  0.000
## Models ranked by BIC(x) 
## 
## [[86]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2      x3 df logLik   BIC delta weight
## 2   5.031 0.8566                    3 37.649 -63.6  0.00  0.621
## 6   4.991 0.8590           0.08335  4 38.710 -61.8  1.79  0.254
## 4   5.033 0.8594 -0.008172          4 37.660 -59.7  3.89  0.089
## 8   4.994 0.8630 -0.011920 0.08390  5 38.733 -57.9  5.66  0.037
## 3   5.337         0.243100          3 -2.372  16.5 80.04  0.000
## 1   5.449                           2 -4.352  16.5 80.09  0.000
## 7   5.314         0.241500 0.05010  4 -2.297  20.2 83.80  0.000
## 5   5.421                  0.05898  3 -4.254  20.2 83.81  0.000
## Models ranked by BIC(x) 
## 
## [[87]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.933 1.046                    3  45.126 -78.5   0.00  0.494
## 4   4.986 1.035 -0.08887           4  46.771 -77.9   0.62  0.362
## 6   4.948 1.044          -0.02956  4  45.320 -75.0   3.52  0.085
## 8   4.997 1.034 -0.08742 -0.02492  5  46.917 -74.3   4.24  0.059
## 1   5.508                          2 -15.053  37.9 116.45  0.000
## 3   5.628       -0.22680           3 -14.087  39.9 118.43  0.000
## 5   5.560                -0.11080  3 -14.807  41.3 119.87  0.000
## 7   5.670       -0.22020 -0.09720  4 -13.891  43.4 121.95  0.000
## Models ranked by BIC(x) 
## 
## [[88]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   BIC  delta weight
## 2   4.951 1.039                     3  40.741 -69.7   0.00  0.537
## 4   5.001 1.043 -0.09638            4  42.238 -68.8   0.92  0.339
## 6   4.951 1.039          -0.002066  4  40.742 -65.8   3.91  0.076
## 8   5.005 1.043 -0.09689 -0.007318  5  42.250 -64.9   4.81  0.049
## 1   5.508                           2 -16.325  40.5 110.22  0.000
## 3   5.537       -0.05256            3 -16.281  44.3 114.04  0.000
## 5   5.502                 0.014220  3 -16.321  44.4 114.12  0.000
## 7   5.531       -0.05176  0.011440  4 -16.279  48.2 117.95  0.000
## Models ranked by BIC(x) 
## 
## [[89]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df logLik   BIC  delta weight
## 2   4.935 1.004                     3 49.812 -87.9   0.00  0.529
## 4   4.979 1.000 -0.07601            4 51.331 -87.0   0.87  0.342
## 6   4.944 1.006          -0.016350  4 49.885 -84.1   3.77  0.080
## 8   4.982 1.001 -0.07515 -0.005722  5 51.340 -83.1   4.77  0.049
## 1   5.516                           2 -9.989  27.8 115.69  0.000
## 3   5.587       -0.12960            3 -9.593  30.9 118.81  0.000
## 5   5.488                 0.050550  3 -9.926  31.6 119.48  0.000
## 7   5.554       -0.13970  0.069700  4 -9.473  34.6 122.48  0.000
## Models ranked by BIC(x) 
## 
## [[90]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.968 0.9724                    3  40.711 -69.7   0.00  0.536
## 4   5.008 0.9813 -0.07830           4  42.056 -68.5   1.22  0.291
## 6   4.941 0.9812           0.04266  4  41.034 -66.4   3.27  0.105
## 8   4.978 0.9925 -0.08310  0.05196  5  42.559 -65.6   4.13  0.068
## 1   5.449                           2 -10.056  27.9  97.62  0.000
## 5   5.527                 -0.14930  3  -9.511  30.8 100.44  0.000
## 3   5.442         0.01186           3 -10.052  31.8 101.52  0.000
## 7   5.515         0.02284 -0.15130  4  -9.496  34.6 104.33  0.000
## Models ranked by BIC(x) 
## 
## [[91]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.912 1.068                    3  41.736 -71.7   0.00  0.470
## 4   4.948 1.085 -0.09278           4  43.522 -71.4   0.34  0.396
## 6   4.925 1.070          -0.03035  4  41.869 -68.1   3.65  0.076
## 8   4.953 1.086 -0.09096 -0.01564  5  43.559 -67.6   4.18  0.058
## 1   5.454                          2 -15.042  37.9 109.64  0.000
## 3   5.410        0.09192           3 -14.861  41.5 113.19  0.000
## 5   5.409                 0.09762  3 -14.898  41.5 113.27  0.000
## 7   5.378        0.08130  0.08283  4 -14.759  45.2 116.90  0.000
## Models ranked by BIC(x) 
## 
## [[92]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.920 1.060                    3  47.599 -83.5   0.00  0.505
## 4   4.962 1.071 -0.09261           4  49.136 -82.6   0.84  0.332
## 6   4.932 1.064          -0.03310  4  47.893 -80.1   3.32  0.096
## 8   4.976 1.075 -0.09373 -0.03505  5  49.487 -79.4   4.05  0.067
## 1   5.479                          2 -15.029  37.9 121.34  0.000
## 5   5.440                 0.08707  3 -14.861  41.5 124.92  0.000
## 3   5.437        0.08125           3 -14.933  41.6 125.06  0.000
## 7   5.397        0.08228  0.08770  4 -14.762  45.2 128.63  0.000
## Models ranked by BIC(x) 
## 
## [[93]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.990 0.9752                    3  39.309 -66.9   0.00  0.666
## 4   5.035 0.9639 -0.07508           4  40.079 -64.5   2.37  0.204
## 6   4.997 0.9778          -0.01723  4  39.361 -63.1   3.81  0.099
## 8   5.046 0.9669 -0.07677 -0.02180  5  40.165 -60.8   6.11  0.031
## 1   5.525                           2 -12.572  33.0  99.85  0.000
## 3   5.665        -0.26620           3 -11.306  34.3 101.23  0.000
## 5   5.457                  0.13040  3 -12.185  36.1 102.99  0.000
## 7   5.601        -0.25470  0.10980  4 -11.020  37.7 104.57  0.000
## Models ranked by BIC(x) 
## 
## [[94]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.986 0.9597                    3  36.417 -61.1   0.00  0.581
## 4   5.023 0.9736 -0.09122           4  37.581 -59.5   1.58  0.263
## 6   4.964 0.9613          0.044080  4  36.740 -57.8   3.27  0.113
## 8   5.006 0.9737 -0.08496 0.028710  5  37.718 -55.9   5.22  0.043
## 1   5.469                           2 -12.698  33.2  94.32  0.000
## 3   5.428         0.08478           3 -12.556  36.8  97.95  0.000
## 5   5.465                 0.008931  3 -12.696  37.1  98.23  0.000
## 7   5.413         0.09042 0.025780  4 -12.541  40.7 101.83  0.000
## Models ranked by BIC(x) 
## 
## [[95]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.902 1.066                   3  44.590 -77.4   0.00  0.742
## 4   4.917 1.060 -0.02358          4  44.724 -73.8   3.65  0.120
## 6   4.890 1.065          0.02525  4  44.717 -73.8   3.66  0.119
## 8   4.905 1.060 -0.02139 0.02276  5  44.826 -70.1   7.35  0.019
## 1   5.461                         2 -13.314  34.5 111.90  0.000
## 3   5.579       -0.22530          3 -12.026  35.8 113.23  0.000
## 5   5.437                0.05001  3 -13.265  38.3 115.71  0.000
## 7   5.567       -0.22310 0.02285  4 -12.015  39.7 117.12  0.000
## Models ranked by BIC(x) 
## 
## [[96]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.960 0.9744                   3  41.167 -70.6   0.00  0.473
## 4   5.028 0.9527 -0.10240          4  42.930 -70.2   0.39  0.390
## 6   4.947 0.9689          0.03233  4  41.351 -67.1   3.54  0.080
## 8   5.021 0.9511 -0.09964 0.01292  5  42.960 -66.4   4.24  0.057
## 3   5.611        -0.31790          3  -8.254  28.2  98.84  0.000
## 1   5.432                          2 -10.536  28.9  99.49  0.000
## 5   5.334                 0.19790  3  -9.623  31.0 101.58  0.000
## 7   5.527        -0.28600 0.13340  4  -7.828  31.3 101.90  0.000
## Models ranked by BIC(x) 
## 
## [[97]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   BIC  delta weight
## 2   4.993 0.9229                   3 50.692 -89.6   0.00  0.550
## 4   5.027 0.9251 -0.07003          4 51.979 -88.3   1.34  0.282
## 6   4.973 0.9233          0.04000  4 51.148 -86.6   3.00  0.123
## 8   5.012 0.9251 -0.06315 0.02248  5 52.117 -84.7   4.97  0.046
## 1   5.437                          2 -8.451  24.7 114.37  0.000
## 3   5.456        -0.03802          3 -8.417  28.6 118.22  0.000
## 5   5.422                 0.03004  3 -8.427  28.6 118.24  0.000
## 7   5.442        -0.03150 0.02130  4 -8.406  32.5 122.11  0.000
## Models ranked by BIC(x) 
## 
## [[98]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df logLik   BIC  delta weight
## 2   4.950 1.009                    3 44.154 -76.6   0.00  0.644
## 4   4.977 1.017 -0.06749           4 45.090 -74.5   2.04  0.232
## 6   4.948 1.008          0.004402  4 44.158 -72.7   3.90  0.091
## 8   4.975 1.016 -0.06750 0.004538  5 45.094 -70.6   5.94  0.033
## 1   5.416                          2 -7.040  21.9  98.48  0.000
## 5   5.355                0.116000  3 -6.703  25.1 101.71  0.000
## 3   5.403        0.02976           3 -7.017  25.8 102.34  0.000
## 7   5.342        0.02812 0.115600  4 -6.681  29.0 105.58  0.000
## Models ranked by BIC(x) 
## 
## [[99]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC delta weight
## 2   4.966 0.9751                    3 37.825 -63.9  0.00  0.620
## 4   5.006 0.9687 -0.07707           4 38.780 -61.9  2.00  0.228
## 6   4.940 0.9853           0.04388  4 38.091 -60.5  3.38  0.115
## 8   4.986 0.9764 -0.07237  0.03147  5 38.919 -58.3  5.64  0.037
## 1   5.420                           2 -9.987  27.8 91.71  0.000
## 5   5.512                 -0.19440  3 -9.161  30.1 93.97  0.000
## 3   5.496        -0.15420           3 -9.423  30.6 94.50  0.000
## 7   5.614        -0.18280 -0.22030  4 -8.352  32.4 96.27  0.000
## Models ranked by BIC(x) 
## 
## [[100]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.953 1.056                   3  37.494 -63.3   0.00  0.612
## 6   4.909 1.056          0.07830  4  38.516 -61.4   1.87  0.240
## 4   4.978 1.049 -0.03808          4  37.699 -59.8   3.50  0.106
## 8   4.934 1.049 -0.03760 0.07810  5  38.725 -57.9   5.36  0.042
## 1   5.541                         2 -17.877  43.6 106.83  0.000
## 3   5.705       -0.28970          3 -16.482  44.7 107.95  0.000
## 5   5.493                0.08469  3 -17.749  47.2 110.49  0.000
## 7   5.658       -0.28910 0.08282  4 -16.353  48.4 111.60  0.000
## Models ranked by BIC(x) 
## 
## [[101]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   BIC  delta weight
## 2   5.000 0.9362                     3 49.501 -87.3   0.00  0.510
## 4   5.037 0.9321 -0.08360            4 51.122 -86.6   0.67  0.365
## 6   5.003 0.9358          -0.007589  4 49.511 -83.4   3.89  0.073
## 8   5.033 0.9327 -0.08521  0.009846  5 51.140 -82.7   4.55  0.053
## 1   5.505                            2 -7.603  23.0 110.29  0.000
## 3   5.562        -0.13450            3 -7.184  26.1 113.37  0.000
## 5   5.546                 -0.087400  3 -7.462  26.7 113.93  0.000
## 7   5.586        -0.12420 -0.061600  4 -7.116  29.9 117.15  0.000
## Models ranked by BIC(x) 
## 
## [[102]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   BIC  delta weight
## 2   5.013 0.9307                    3  45.291 -78.8   0.00  0.715
## 4   5.032 0.9309 -0.04581           4  45.696 -75.7   3.10  0.151
## 6   5.025 0.9276          -0.01884  4  45.373 -75.1   3.75  0.110
## 8   5.045 0.9275 -0.04696 -0.02098  5  45.799 -72.0   6.81  0.024
## 1   5.477                           2 -10.484  28.8 107.64  0.000
## 5   5.569                 -0.17290  3  -9.711  31.2 110.00  0.000
## 3   5.494        -0.03932           3 -10.452  32.6 111.49  0.000
## 7   5.591        -0.04917 -0.17510  4  -9.659  35.0 113.81  0.000
## Models ranked by BIC(x) 
## 
## [[103]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik   BIC  delta weight
## 4   5.001 0.9854 -0.09509          4  47.386 -79.1   0.00  0.433
## 2   4.968 0.9676                   3  45.384 -79.0   0.09  0.413
## 6   4.955 0.9616          0.03549  4  45.671 -75.7   3.43  0.078
## 8   4.990 0.9800 -0.09312 0.02973  5  47.604 -75.6   3.48  0.076
## 1   5.422                          2 -10.459  28.7 107.87  0.000
## 5   5.339                 0.18900  3  -9.551  30.8 109.96  0.000
## 3   5.382         0.09094          3 -10.263  32.3 111.39  0.000
## 7   5.295         0.09711 0.19190  4  -9.319  34.3 113.41  0.000
## Models ranked by BIC(x) 
## 
## [[104]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.977 1.011                    3  37.150 -62.6   0.00  0.496
## 6   4.916 1.023           0.10370  4  38.704 -61.8   0.80  0.332
## 4   4.997 1.020 -0.05244           4  37.538 -59.4   3.14  0.103
## 8   4.936 1.032 -0.05134  0.10320  5  39.100 -58.6   3.92  0.070
## 1   5.502                          2 -13.932  35.7  98.25  0.000
## 3   5.428        0.15380           3 -13.483  38.7 101.27  0.000
## 5   5.518                -0.03086  3 -13.915  39.6 102.13  0.000
## 7   5.442        0.15300 -0.02564  4 -13.471  42.6 105.15  0.000
## Models ranked by BIC(x) 
## 
## [[105]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.946 1.025                    3  36.753 -61.8   0.00  0.548
## 4   4.996 1.013 -0.08508           4  38.146 -60.6   1.13  0.312
## 6   4.960 1.025          -0.02519  4  36.846 -58.0   3.73  0.085
## 8   5.019 1.013 -0.08902 -0.03719  5  38.359 -57.2   4.61  0.055
## 1   5.354                          2 -15.301  38.4 100.20  0.000
## 3   5.465       -0.20990           3 -14.233  40.2 101.97  0.000
## 5   5.364                -0.01865  3 -15.295  42.3 104.10  0.000
## 7   5.494       -0.21490 -0.04780  4 -14.189  44.0 105.80  0.000
## Models ranked by BIC(x) 
## 
## [[106]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   BIC delta weight
## 2   4.956 0.9605                   3 39.157 -66.6  0.00  0.628
## 4   4.987 0.9733 -0.06963          4 40.066 -64.5  2.09  0.221
## 6   4.940 0.9506          0.03927  4 39.418 -63.2  3.39  0.115
## 8   4.973 0.9653 -0.06534 0.02850  5 40.205 -60.8  5.73  0.036
## 1   5.453                          2 -9.780  27.4 93.96  0.000
## 5   5.310                 0.25870  3 -8.033  27.8 94.38  0.000
## 3   5.406         0.08576          3 -9.582  30.9 97.48  0.000
## 7   5.241         0.11470 0.27160  4 -7.657  31.0 97.54  0.000
## Models ranked by BIC(x) 
## 
## [[107]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC delta weight
## 2   5.031 0.8980                    3 40.301 -68.9  0.00  0.389
## 4   5.077 0.9022 -0.09935           4 42.159 -68.7  0.20  0.352
## 6   5.055 0.9162          -0.06507  4 41.185 -66.7  2.14  0.133
## 8   5.100 0.9201 -0.09863 -0.06410  5 43.084 -66.6  2.26  0.126
## 1   5.476                           2 -2.884  13.6 82.46  0.000
## 5   5.422                  0.10510  3 -2.455  16.6 85.51  0.000
## 3   5.509        -0.06927           3 -2.728  17.2 86.06  0.000
## 7   5.456        -0.07145  0.10630  4 -2.287  20.2 89.09  0.000
## Models ranked by BIC(x) 
## 
## [[108]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.961 0.9810                    3  41.017 -70.3   0.00  0.686
## 6   4.985 0.9883          -0.04910  4  41.492 -67.3   2.96  0.156
## 4   4.987 0.9860 -0.04752           4  41.295 -66.9   3.36  0.128
## 8   5.011 0.9932 -0.04787 -0.04931  5  41.779 -64.0   6.30  0.029
## 1   5.438                           2 -12.576  33.0 103.27  0.000
## 5   5.387                  0.09329  3 -12.371  36.5 106.78  0.000
## 3   5.371         0.11330           3 -12.388  36.5 106.81  0.000
## 7   5.322         0.11170  0.09211  4 -12.187  40.0 110.32  0.000
## Models ranked by BIC(x) 
## 
## [[109]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   BIC  delta weight
## 2   5.005 0.9423                   3 39.983 -68.2   0.00  0.359
## 4   5.048 0.9364 -0.10160          4 41.748 -67.8   0.38  0.296
## 6   4.963 0.9398          0.09217  4 41.501 -67.4   0.88  0.232
## 8   5.008 0.9353 -0.08512 0.07412  5 42.742 -65.9   2.31  0.113
## 1   5.502                          2 -8.878  25.6  93.81  0.000
## 3   5.564        -0.15770          3 -8.289  28.3  96.54  0.000
## 5   5.447                 0.11730  3 -8.538  28.8  97.04  0.000
## 7   5.516        -0.13800 0.08779  4 -8.103  31.9 100.09  0.000
## Models ranked by BIC(x) 
## 
## [[110]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1        x2       x3 df  logLik   BIC  delta weight
## 2   4.936 1.013                     3  53.010 -94.3   0.00  0.607
## 4   4.966 1.015 -0.056190           4  54.149 -92.7   1.63  0.268
## 6   4.933 1.012           0.005458  4  53.019 -90.4   3.89  0.087
## 8   4.962 1.015 -0.056320 0.006655  5  54.164 -88.8   5.51  0.039
## 1   5.472                           2 -14.518  36.9 131.14  0.000
## 5   5.422                 0.094430  3 -14.320  40.4 134.66  0.000
## 3   5.476       -0.007721           3 -14.517  40.8 135.05  0.000
## 7   5.427       -0.009971 0.094680  4 -14.317  44.3 138.57  0.000
## Models ranked by BIC(x) 
## 
## [[111]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   BIC  delta weight
## 2   4.993 0.9170                   3 42.371 -73.0   0.00  0.516
## 4   5.034 0.9195 -0.08751          4 43.835 -72.0   0.98  0.316
## 6   4.968 0.9185          0.04750  4 42.734 -69.8   3.19  0.105
## 8   5.009 0.9209 -0.08643 0.04510  5 44.182 -68.8   4.20  0.063
## 1   5.407                          2 -8.062  23.9  96.95  0.000
## 3   5.435        -0.05952          3 -7.974  27.7 100.69  0.000
## 5   5.401                 0.01235  3 -8.058  27.9 100.86  0.000
## 7   5.430        -0.05926 0.01064  4 -7.971  31.6 104.60  0.000
## Models ranked by BIC(x) 
## 
## [[112]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2       x3 df  logLik   BIC  delta weight
## 2   4.965 0.9773                     3  48.941 -86.1   0.00  0.763
## 6   4.971 0.9772           -0.01136  4  48.969 -82.3   3.86  0.111
## 4   4.969 0.9772 -0.007895           4  48.955 -82.3   3.88  0.110
## 8   4.977 0.9771 -0.010010 -0.01309  5  48.991 -78.4   7.72  0.016
## 1   5.397                            2 -12.174  32.2 118.32  0.000
## 5   5.410                  -0.02357  3 -12.164  36.1 122.21  0.000
## 3   5.405        -0.017760           3 -12.168  36.1 122.22  0.000
## 7   5.423        -0.022190 -0.02739  4 -12.155  40.0 126.10  0.000
## Models ranked by BIC(x) 
## 
## [[113]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   BIC delta weight
## 2   4.989 0.9479                   3 42.013 -72.3  0.00  0.485
## 4   5.032 0.9355 -0.07624          4 43.330 -71.0  1.28  0.256
## 6   4.961 0.9411          0.07029  4 43.020 -70.4  1.90  0.187
## 8   5.003 0.9314 -0.06652 0.05797  5 44.025 -68.5  3.80  0.072
## 1   5.373                          2 -2.463  12.8 85.04  0.000
## 3   5.457        -0.16920          3 -1.355  14.4 86.74  0.000
## 5   5.315                 0.13240  3 -1.861  15.5 87.75  0.000
## 7   5.403        -0.15120 0.10300  4 -0.989  17.6 89.92  0.000
## Models ranked by BIC(x) 
## 
## [[114]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1      x2        x3 df  logLik   BIC delta weight
## 2   4.971 1.027                    3  38.355 -65.0  0.00  0.474
## 4   5.022 1.017 -0.1030            4  40.130 -64.6  0.36  0.395
## 6   4.985 1.023         -0.023750  4  38.459 -61.3  3.71  0.074
## 8   5.026 1.015 -0.1015 -0.008697  5  40.144 -60.7  4.25  0.057
## 1   5.472                          2 -10.831  29.5 94.46  0.000
## 3   5.560       -0.1970            3  -9.930  31.6 96.57  0.000
## 5   5.561               -0.181500  3  -9.949  31.6 96.61  0.000
## 7   5.623       -0.1685 -0.154600  4  -9.289  34.2 99.20  0.000
## Models ranked by BIC(x) 
## 
## [[115]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.947 1.044                    3  40.509 -69.3   0.00  0.683
## 6   4.975 1.048          -0.05874  4  41.114 -66.6   2.70  0.177
## 4   4.961 1.043 -0.02968           4  40.645 -65.6   3.64  0.111
## 8   4.990 1.047 -0.03143 -0.05956  5  41.271 -63.0   6.30  0.029
## 1   5.489                          2 -14.848  37.5 106.80  0.000
## 3   5.521       -0.07238           3 -14.760  41.3 110.54  0.000
## 5   5.479                 0.01951  3 -14.841  41.4 110.70  0.000
## 7   5.511       -0.07182  0.01747  4 -14.754  45.2 114.44  0.000
## Models ranked by BIC(x) 
## 
## [[116]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1      x2       x3 df  logLik   BIC  delta weight
## 4   4.983 1.058 -0.1073           4  52.654 -89.7   0.00  0.427
## 2   4.952 1.027                   3  50.630 -89.5   0.14  0.399
## 8   4.958 1.065 -0.1076  0.04076  5  53.067 -86.6   3.09  0.091
## 6   4.929 1.033          0.04014  4  50.999 -86.3   3.31  0.082
## 1   5.479                         2 -10.911  29.6 119.30  0.000
## 3   5.348        0.3042           3  -9.360  30.5 120.11  0.000
## 5   5.545               -0.12690  3 -10.589  32.9 122.57  0.000
## 7   5.410        0.2984 -0.11450  4  -9.081  33.8 123.47  0.000
## Models ranked by BIC(x) 
## 
## [[117]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.940 1.032                   3  49.962 -88.2   0.00  0.608
## 6   4.915 1.015          0.06887  4  50.982 -86.3   1.87  0.238
## 4   4.955 1.036 -0.03097          4  50.194 -84.7   3.45  0.108
## 8   4.930 1.019 -0.03398 0.07053  5  51.273 -83.0   5.20  0.045
## 5   5.319                0.34710  3  -8.924  29.6 117.77  0.000
## 1   5.492                         2 -11.383  30.6 118.78  0.000
## 7   5.290        0.06053 0.34250  4  -8.839  33.3 121.52  0.000
## 3   5.448        0.08447          3 -11.233  34.2 122.39  0.000
## Models ranked by BIC(x) 
## 
## [[118]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.927 1.033                    3  42.333 -72.9   0.00  0.525
## 4   4.976 1.015 -0.08411           4  43.817 -72.0   0.94  0.328
## 6   4.951 1.023          -0.03514  4  42.559 -69.5   3.46  0.093
## 8   4.993 1.008 -0.08181 -0.02748  5  43.963 -68.4   4.56  0.054
## 1   5.438                          2 -10.746  29.3 102.25  0.000
## 5   5.595                -0.28260  3  -8.801  29.3 102.27  0.000
## 3   5.563       -0.26080           3  -8.962  29.7 102.59  0.000
## 7   5.686       -0.22860 -0.25090  4  -7.356  30.4 103.29  0.000
## Models ranked by BIC(x) 
## 
## [[119]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   BIC  delta weight
## 2   4.986 0.9728                     3 48.969 -86.2   0.00  0.509
## 4   5.021 0.9861 -0.07386            4 50.389 -85.1   1.07  0.298
## 8   5.061 0.9910 -0.08878 -0.060720  5 51.224 -82.9   3.31  0.097
## 6   5.006 0.9742          -0.036260  4 49.267 -82.9   3.32  0.097
## 1   5.436                            2 -9.783  27.4 113.59  0.000
## 3   5.382         0.09629            3 -9.551  30.8 117.04  0.000
## 5   5.433                  0.004529  3 -9.782  31.3 117.50  0.000
## 7   5.359         0.10380  0.032290  4 -9.529  34.7 120.91  0.000
## Models ranked by BIC(x) 
## 
## [[120]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC  delta weight
## 2   4.987 0.8986                    3 53.000 -94.3   0.00  0.564
## 4   5.017 0.9129 -0.07081           4 54.294 -92.9   1.32  0.291
## 6   4.998 0.8974          -0.02420  4 53.168 -90.7   3.58  0.094
## 8   5.030 0.9118 -0.07152 -0.02592  5 54.497 -89.4   4.83  0.050
## 1   5.445                           2 -8.086  24.0 118.26  0.000
## 3   5.363         0.15590           3 -7.520  26.8 121.04  0.000
## 5   5.478                 -0.07459  3 -7.947  27.6 121.89  0.000
## 7   5.394         0.15320 -0.06917  4 -7.398  30.4 124.71  0.000
## Models ranked by BIC(x) 
## 
## [[121]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.981 0.9679                    3  42.161 -72.6   0.00  0.582
## 6   5.017 0.9656          -0.06196  4  43.026 -70.4   2.18  0.196
## 4   5.008 0.9626 -0.05527           4  42.922 -70.2   2.39  0.176
## 8   5.034 0.9617 -0.04522 -0.05235  5  43.529 -67.5   5.09  0.046
## 1   5.458                           2 -10.115  28.1 100.64  0.000
## 3   5.514        -0.12490           3  -9.635  31.0 103.59  0.000
## 5   5.509                 -0.09178  3  -9.884  31.5 104.09  0.000
## 7   5.546        -0.11180 -0.06770  4  -9.512  34.7 107.26  0.000
## Models ranked by BIC(x) 
## 
## [[122]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   BIC  delta weight
## 2   4.898 1.090                     3  46.246 -80.8   0.00  0.722
## 4   4.927 1.082 -0.04688            4  46.661 -77.7   3.08  0.154
## 6   4.898 1.090           0.000809  4  46.247 -76.8   3.91  0.102
## 8   4.928 1.082 -0.04703 -0.001948  5  46.662 -73.8   6.99  0.022
## 1   5.472                           2 -19.778  47.4 128.14  0.000
## 3   5.630       -0.30430            3 -18.457  48.6 129.41  0.000
## 5   5.394                 0.147800  3 -19.384  50.5 131.26  0.000
## 7   5.558       -0.29140  0.124400  4 -18.165  52.0 132.74  0.000
## Models ranked by BIC(x) 
## 
## [[123]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.939 1.027                   3  53.286 -94.8   0.00  0.587
## 4   4.965 1.031 -0.06051          4  54.364 -93.1   1.76  0.244
## 6   4.923 1.023          0.03957  4  53.712 -91.8   3.06  0.127
## 8   4.951 1.028 -0.05462 0.02670  5  54.555 -89.5   5.29  0.042
## 1   5.467                         2 -14.465  36.8 131.59  0.000
## 5   5.379                0.18400  3 -13.838  39.4 134.25  0.000
## 3   5.461        0.01342          3 -14.461  40.7 135.49  0.000
## 7   5.348        0.05488 0.19630  4 -13.782  43.2 138.05  0.000
## Models ranked by BIC(x) 
## 
## [[124]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC  delta weight
## 2   4.974 0.9114                    3 53.049 -94.4   0.00  0.743
## 4   4.987 0.9179 -0.02881           4 53.280 -90.9   3.45  0.132
## 6   4.972 0.9113          0.003140  4 53.053 -90.5   3.90  0.105
## 8   4.985 0.9179 -0.02974 0.006277  5 53.296 -87.0   7.33  0.019
## 1   5.433                           2 -5.161  18.1 112.51  0.000
## 3   5.335         0.16910           3 -4.334  20.4 114.77  0.000
## 5   5.423                 0.019620  3 -5.146  22.0 116.39  0.000
## 7   5.335         0.16890 0.001133  4 -4.334  24.3 118.68  0.000
## Models ranked by BIC(x) 
## 
## [[125]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.921 1.038                    3  47.262 -82.8   0.00  0.482
## 4   4.971 1.036 -0.08960           4  48.956 -82.3   0.52  0.371
## 6   4.936 1.040          -0.03599  4  47.538 -79.4   3.36  0.090
## 8   4.977 1.037 -0.08569 -0.01914  5  49.036 -78.5   4.28  0.057
## 1   5.509                          2 -17.848  43.5 126.31  0.000
## 3   5.580       -0.12770           3 -17.600  46.9 129.72  0.000
## 5   5.498                 0.02486  3 -17.838  47.4 130.20  0.000
## 7   5.562       -0.13820  0.05177  4 -17.559  50.8 133.55  0.000
## Models ranked by BIC(x) 
## 
## [[126]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1        x2       x3 df  logLik   BIC delta weight
## 2   4.923 1.046                     3  33.400 -55.1  0.00  0.561
## 4   4.974 1.055 -0.109800           4  34.768 -53.9  1.18  0.311
## 6   4.913 1.045            0.02065  4  33.461 -51.3  3.79  0.084
## 8   4.975 1.055 -0.110000 -0.00101  5  34.768 -50.0  5.09  0.044
## 1   5.434                           2 -10.074  28.0 83.04  0.000
## 5   5.403                  0.05842  3  -9.988  31.7 86.78  0.000
## 3   5.445       -0.022770           3 -10.063  31.9 86.93  0.000
## 7   5.408       -0.008674  0.05674  4  -9.986  35.6 90.68  0.000
## Models ranked by BIC(x) 
## 
## [[127]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   BIC  delta weight
## 2   4.990 0.9511                   3 49.510 -87.3   0.00  0.535
## 4   5.025 0.9415 -0.06625          4 50.693 -85.7   1.55  0.247
## 6   4.966 0.9469          0.05062  4 50.205 -84.8   2.52  0.152
## 8   5.002 0.9380 -0.06366 0.04718  5 51.323 -83.1   4.20  0.066
## 1   5.422                          2 -6.794  21.4 108.70  0.000
## 3   5.509        -0.18580          3 -5.801  23.3 110.62  0.000
## 5   5.362                 0.11870  3 -6.392  24.5 111.80  0.000
## 7   5.451        -0.17890 0.10730  4 -5.461  26.6 113.85  0.000
## Models ranked by BIC(x) 
## 
## [[128]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1      x2        x3 df logLik   BIC  delta weight
## 2   4.976 0.9566                    3 43.593 -75.4   0.00  0.764
## 4   4.972 0.9528 0.01183            4 43.614 -71.6   3.87  0.110
## 6   4.973 0.9568          0.007163  4 43.605 -71.6   3.89  0.109
## 8   4.970 0.9534 0.01043  0.005368  5 43.620 -67.7   7.77  0.016
## 3   5.204        0.34300            3 -4.683  21.1  96.55  0.000
## 1   5.367                           2 -7.427  22.7  98.13  0.000
## 7   5.233        0.35930 -0.073300  4 -4.511  24.7 100.12  0.000
## 5   5.374                -0.014120  3 -7.421  26.6 102.03  0.000
## Models ranked by BIC(x) 
## 
## [[129]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.956 0.9868                    3  38.085 -64.4   0.00  0.678
## 6   4.915 1.0010           0.07232  4  38.780 -61.9   2.52  0.192
## 4   4.965 0.9858 -0.01738           4  38.130 -60.6   3.82  0.100
## 8   4.926 1.0000 -0.02581  0.07556  5  38.879 -58.2   6.24  0.030
## 1   5.459                           2 -12.463  32.8  97.19  0.000
## 5   5.537                 -0.16500  3 -11.963  35.7 100.10  0.000
## 3   5.496        -0.07842           3 -12.343  36.4 100.86  0.000
## 7   5.561        -0.05904 -0.15720  4 -11.895  39.4 103.87  0.000
## Models ranked by BIC(x) 
## 
## [[130]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC  delta weight
## 4   5.035 0.9549 -0.09670           4 48.198 -80.7   0.00  0.371
## 2   4.994 0.9505                    3 45.928 -80.1   0.63  0.271
## 8   5.074 0.9623 -0.08837 -0.08190  5 49.436 -79.3   1.44  0.181
## 6   5.043 0.9594          -0.09441  4 47.460 -79.3   1.48  0.177
## 1   5.449                           2 -7.374  22.6 103.32  0.000
## 3   5.475        -0.05788           3 -7.282  26.3 107.05  0.000
## 5   5.440                  0.01637  3 -7.369  26.5 107.22  0.000
## 7   5.462        -0.06052  0.02516  4 -7.269  30.2 110.93  0.000
## Models ranked by BIC(x) 
## 
## [[131]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC  delta weight
## 2   5.000 0.8938                    3 53.560 -95.4   0.00  0.729
## 4   5.016 0.8959 -0.03420           4 53.871 -92.1   3.29  0.141
## 6   4.990 0.8979           0.01355  4 53.608 -91.6   3.82  0.108
## 8   5.003 0.9030 -0.03909  0.02231  5 53.995 -88.4   6.95  0.023
## 1   5.480                           2 -4.050  15.9 111.31  0.000
## 5   5.611                 -0.25670  3 -2.106  15.9 111.33  0.000
## 7   5.579         0.07899 -0.27130  4 -1.934  19.5 114.90  0.000
## 3   5.468         0.02511           3 -4.033  19.8 115.19  0.000
## Models ranked by BIC(x) 
## 
## [[132]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   BIC delta weight
## 2   4.983 0.9512                   3 36.785 -61.8  0.00  0.613
## 6   4.952 0.9510          0.06264  4 37.550 -59.5  2.38  0.186
## 4   5.009 0.9613 -0.06032          4 37.359 -59.1  2.76  0.154
## 8   4.978 0.9608 -0.05887 0.06152  5 38.114 -56.7  5.17  0.046
## 1   5.431                          2 -7.953  23.7 85.56  0.000
## 3   5.391         0.07781          3 -7.791  27.3 89.15  0.000
## 5   5.399                 0.06531  3 -7.816  27.4 89.20  0.000
## 7   5.357         0.07931 0.06680  4 -7.646  30.9 92.77  0.000
## Models ranked by BIC(x) 
## 
## [[133]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC delta weight
## 2   5.002 0.9109                    3 39.368 -67.0  0.00  0.564
## 6   5.040 0.9034          -0.07341  4 40.506 -65.4  1.64  0.249
## 4   5.032 0.9047 -0.06447           4 39.907 -64.2  2.84  0.137
## 8   5.062 0.8990 -0.05275 -0.06775  5 40.875 -62.2  4.81  0.051
## 1   5.467                           2 -9.133  26.1 93.09  0.000
## 5   5.538                 -0.15200  3 -8.431  28.6 95.60  0.000
## 3   5.546        -0.18370           3 -8.496  28.7 95.73  0.000
## 7   5.598        -0.15910 -0.13380  4 -7.952  31.6 98.55  0.000
## Models ranked by BIC(x) 
## 
## [[134]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1         x2      x3 df  logLik   BIC  delta weight
## 2   4.936 1.041                     3  46.630 -81.5   0.00  0.711
## 6   4.913 1.031            0.05674  4  47.126 -78.6   2.92  0.165
## 4   4.936 1.041 -0.0008722          4  46.630 -77.6   3.91  0.101
## 8   4.907 1.032  0.0101200 0.05901  5  47.144 -74.7   6.80  0.024
## 1   5.472                           2 -11.938  31.7 113.22  0.000
## 5   5.320                  0.30980  3 -10.422  32.6 114.10  0.000
## 3   5.562       -0.2111000          3 -11.106  33.9 115.47  0.000
## 7   5.404       -0.1527000 0.27030  4  -9.988  35.6 117.15  0.000
## Models ranked by BIC(x) 
## 
## [[135]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2       x3 df logLik   BIC  delta weight
## 6   4.990 0.9773           -0.09196  4 46.152 -76.7   0.00  0.351
## 2   4.936 0.9854                     3 44.196 -76.7   0.00  0.351
## 4   4.977 0.9910 -0.072010           4 45.392 -75.1   1.52  0.164
## 8   5.022 0.9828 -0.063530 -0.08559  5 47.145 -74.7   1.93  0.134
## 1   5.504                            2 -8.347  24.5 101.17  0.000
## 5   5.591                  -0.16250  3 -7.613  27.0 103.62  0.000
## 3   5.509        -0.008922           3 -8.345  28.4 105.08  0.000
## 7   5.587         0.006248 -0.16310  4 -7.612  30.9 107.53  0.000
## Models ranked by BIC(x) 
## 
## [[136]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.910 1.050                    3  41.942 -72.1   0.00  0.457
## 4   4.948 1.064 -0.09706           4  43.635 -71.6   0.53  0.352
## 8   4.924 1.067 -0.10520 0.052410  5  44.306 -69.1   3.10  0.097
## 6   4.889 1.051          0.040010  4  42.312 -69.0   3.17  0.094
## 1   5.375                          2 -12.854  33.5 105.68  0.000
## 3   5.348        0.05990           3 -12.782  37.3 109.45  0.000
## 5   5.369                0.013400  3 -12.849  37.4 109.58  0.000
## 7   5.345        0.05891 0.006681  4 -12.781  41.2 113.36  0.000
## Models ranked by BIC(x) 
## 
## [[137]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.937 1.016                    3  41.466 -71.2   0.00  0.478
## 6   4.980 1.021          -0.08597  4  42.863 -70.1   1.12  0.273
## 4   4.978 1.012 -0.07588           4  42.297 -68.9   2.25  0.155
## 8   5.021 1.017 -0.07606 -0.08610  5  43.746 -67.9   3.26  0.094
## 1   5.450                          2 -12.605  33.0 104.23  0.000
## 3   5.524       -0.14660           3 -12.251  36.2 107.43  0.000
## 5   5.462                -0.02229  3 -12.595  36.9 108.12  0.000
## 7   5.536       -0.14670 -0.02302  4 -12.239  40.1 111.32  0.000
## Models ranked by BIC(x) 
## 
## [[138]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   BIC  delta weight
## 4   5.023 0.9614 -0.09281          4 50.683 -85.7   0.00  0.398
## 2   4.961 0.9885                   3 48.552 -85.4   0.35  0.334
## 6   4.939 0.9705          0.06511  4 49.732 -83.8   1.90  0.154
## 8   4.999 0.9508 -0.08207 0.04962  5 51.393 -83.2   2.49  0.114
## 3   5.669        -0.30200          3 -1.685  15.1 100.83  0.000
## 7   5.554        -0.25390 0.18330  4 -0.444  16.5 102.26  0.000
## 5   5.397                 0.24230  3 -2.515  16.8 102.49  0.000
## 1   5.517                          2 -4.606  17.0 102.75  0.000
## Models ranked by BIC(x) 
## 
## [[139]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   BIC  delta weight
## 2   4.962 1.0050                   3 48.552 -85.4   0.00  0.670
## 6   4.942 0.9882          0.05384  4 49.127 -82.6   2.76  0.168
## 4   4.978 1.0010 -0.03475          4 48.883 -82.1   3.25  0.132
## 8   4.957 0.9860 -0.02995 0.04982  5 49.374 -79.2   6.18  0.030
## 5   5.243                 0.35810  3 -5.427  22.6 107.96  0.000
## 1   5.429                          2 -8.439  24.7 110.07  0.000
## 7   5.283        -0.08329 0.34500  4 -5.210  26.1 111.44  0.000
## 3   5.479        -0.12580          3 -7.989  27.7 113.08  0.000
## Models ranked by BIC(x) 
## 
## [[140]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.930 1.048                    3  39.953 -68.2   0.00  0.523
## 6   4.986 1.042          -0.09927  4  41.461 -67.3   0.89  0.335
## 4   4.946 1.048 -0.03302           4  40.151 -64.7   3.51  0.090
## 8   4.996 1.043 -0.02214 -0.09621  5  41.555 -63.5   4.62  0.052
## 1   5.432                          2 -16.893  41.6 109.78  0.000
## 5   5.525                -0.17240  3 -16.433  44.6 112.77  0.000
## 3   5.434       -0.00475           3 -16.893  45.5 113.69  0.000
## 7   5.519        0.01470 -0.17440  4 -16.429  48.5 116.68  0.000
## Models ranked by BIC(x) 
## 
## [[141]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC  delta weight
## 2   5.001 0.9242                    3 48.639 -85.5   0.00  0.521
## 6   5.035 0.9360          -0.07265  4 49.977 -84.3   1.24  0.281
## 4   5.016 0.9427 -0.04861           4 49.143 -82.6   2.90  0.122
## 8   5.054 0.9572 -0.05419 -0.07605  5 50.637 -81.7   3.83  0.077
## 3   5.300         0.26710           3 -2.039  15.8 101.36  0.000
## 1   5.432                           2 -4.219  16.3 101.80  0.000
## 7   5.268         0.26770  0.05846  4 -1.925  19.5 105.04  0.000
## 5   5.402                  0.05605  3 -4.123  20.0 105.52  0.000
## Models ranked by BIC(x) 
## 
## [[142]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1      x2        x3 df logLik   BIC  delta weight
## 2   4.966 0.9733                    3 49.551 -87.4   0.00  0.452
## 4   5.015 0.9726 -0.1037            4 51.430 -87.2   0.15  0.419
## 8   5.011 0.9663 -0.1083 0.0182600  5 51.521 -83.5   3.88  0.065
## 6   4.966 0.9731         0.0006794  4 49.551 -83.5   3.91  0.064
## 5   5.322                0.2644000  3 -5.176  22.1 109.45  0.000
## 1   5.458                           2 -7.357  22.5 109.90  0.000
## 7   5.395        -0.1859 0.2914000  4 -4.540  24.7 112.09  0.000
## 3   5.511        -0.1127            3 -7.136  26.0 113.37  0.000
## Models ranked by BIC(x) 
## 
## [[143]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.943 1.068                    3  51.303 -90.9   0.00  0.650
## 4   4.970 1.072 -0.05411           4  52.166 -88.7   2.19  0.218
## 6   4.935 1.064          0.019180  4  51.395 -87.1   3.73  0.101
## 8   4.969 1.072 -0.05367 0.001545  5  52.167 -84.8   6.10  0.031
## 1   5.568                          2 -10.265  28.4 119.23  0.000
## 5   5.446                0.226800  3  -9.097  29.9 120.80  0.000
## 3   5.563        0.01013           3 -10.263  32.3 123.13  0.000
## 7   5.393        0.07732 0.250000  4  -8.954  33.6 124.43  0.000
## Models ranked by BIC(x) 
## 
## [[144]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2       x3 df logLik   BIC delta weight
## 2   4.982 0.9581                     3 34.476 -57.2  0.00  0.572
## 4   5.029 0.9704 -0.097520           4 35.747 -55.8  1.37  0.288
## 6   4.963 0.9628            0.03258  4 34.626 -53.6  3.61  0.094
## 8   5.011 0.9744 -0.096360  0.02903  5 35.872 -52.2  5.03  0.046
## 1   5.472                            2 -6.898  21.6 78.84  0.000
## 5   5.513                  -0.07868  3 -6.728  25.2 82.41  0.000
## 3   5.467         0.009565           3 -6.895  25.5 82.74  0.000
## 7   5.510         0.005237 -0.07841  4 -6.727  29.1 86.32  0.000
## Models ranked by BIC(x) 
## 
## [[145]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1        x2       x3 df  logLik   BIC  delta weight
## 2   4.947 1.039                     3  50.543 -89.4   0.00  0.656
## 4   4.968 1.043 -0.052180           4  51.366 -87.1   2.27  0.211
## 6   4.953 1.038           -0.01462  4  50.607 -85.6   3.78  0.099
## 8   4.979 1.042 -0.055120 -0.02201  5  51.512 -83.5   5.89  0.035
## 1   5.503                           2 -10.446  28.7 118.07  0.000
## 5   5.525                 -0.05310  3 -10.373  32.5 121.83  0.000
## 3   5.501        0.005133           3 -10.445  32.6 121.98  0.000
## 7   5.526       -0.002116 -0.05339  4 -10.372  36.4 125.74  0.000
## Models ranked by BIC(x) 
## 
## [[146]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC  delta weight
## 2   4.982 0.9006                    3 52.750 -93.8   0.00  0.495
## 4   5.010 0.9185 -0.07365           4 54.422 -93.2   0.57  0.373
## 6   4.991 0.8972          -0.01556  4 52.837 -90.0   3.74  0.076
## 8   5.017 0.9157 -0.07302 -0.01250  5 54.482 -89.4   4.36  0.056
## 1   5.388                           2 -6.169  20.2 113.93  0.000
## 5   5.470                 -0.17020  3 -5.135  22.0 115.77  0.000
## 3   5.320         0.13500           3 -5.618  23.0 116.74  0.000
## 7   5.402         0.13470 -0.17000  4 -4.563  24.8 118.54  0.000
## Models ranked by BIC(x) 
## 
## [[147]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df  logLik   BIC  delta weight
## 2   4.961 0.9802                     3  49.630 -87.5   0.00  0.529
## 4   4.997 0.9822 -0.07716            4  51.139 -86.6   0.89  0.338
## 6   4.971 0.9801          -0.019000  4  49.750 -83.9   3.67  0.084
## 8   4.998 0.9822 -0.07611 -0.003947  5  51.144 -82.7   4.80  0.048
## 1   5.432                            2 -14.839  37.5 125.03  0.000
## 3   5.453        -0.04444            3 -14.802  41.3 128.86  0.000
## 5   5.444                 -0.023290  3 -14.825  41.4 128.91  0.000
## 7   5.459        -0.04038 -0.015310  4 -14.797  45.2 132.77  0.000
## Models ranked by BIC(x) 
## 
## [[148]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.916 1.057                    3  37.395 -63.1   0.00  0.493
## 6   4.991 1.061          -0.12550  4  38.977 -62.3   0.75  0.339
## 4   4.939 1.059 -0.04461           4  37.725 -59.8   3.25  0.097
## 8   5.016 1.064 -0.04670 -0.12680  5  39.363 -59.2   3.89  0.071
## 1   5.461                          2 -18.924  45.7 108.72  0.000
## 5   5.494                -0.05364  3 -18.894  49.5 112.58  0.000
## 3   5.453        0.01643           3 -18.919  49.6 112.63  0.000
## 7   5.486        0.01566 -0.05326  4 -18.890  53.4 116.48  0.000
## Models ranked by BIC(x) 
## 
## [[149]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC  delta weight
## 2   4.994 0.9447                    3 48.477 -85.2   0.00  0.428
## 6   5.035 0.9388          -0.07965  4 50.286 -84.9   0.29  0.370
## 4   5.016 0.9536 -0.05936           4 49.257 -82.9   2.35  0.132
## 8   5.043 0.9449 -0.03665 -0.07027  5 50.576 -81.6   3.63  0.070
## 1   5.446                           2 -9.327  26.5 111.70  0.000
## 5   5.515                 -0.14460  3 -8.748  29.2 114.45  0.000
## 3   5.401         0.10220           3 -9.095  29.9 115.14  0.000
## 7   5.464         0.15750 -0.18310  4 -8.221  32.1 117.31  0.000
## Models ranked by BIC(x) 
## 
## [[150]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df logLik   BIC  delta weight
## 2   4.953 1.042                    3 47.844 -84.0   0.00  0.640
## 4   4.975 1.049 -0.06184           4 48.752 -81.9   2.10  0.224
## 6   4.943 1.044           0.01759  4 47.919 -80.2   3.76  0.097
## 8   4.961 1.054 -0.06666  0.02846  5 48.951 -78.3   5.61  0.039
## 1   5.453                          2 -9.298  26.4 110.37  0.000
## 5   5.502                -0.09914  3 -9.051  29.8 113.79  0.000
## 3   5.430        0.05364           3 -9.228  30.2 114.14  0.000
## 7   5.477        0.07028 -0.10940  4 -8.933  33.5 117.47  0.000
## Models ranked by BIC(x) 
## 
## [[151]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1         x2       x3 df  logLik   BIC  delta weight
## 2   4.929 1.024                      3  49.592 -87.4   0.00  0.621
## 6   4.956 1.017            -0.05117  4  50.344 -85.0   2.41  0.186
## 4   4.944 1.027 -0.0397200           4  50.002 -84.4   3.09  0.132
## 8   4.985 1.020 -0.0577500 -0.06562  5  51.184 -82.8   4.64  0.061
## 1   5.470                            2 -15.260  38.3 125.79  0.000
## 5   5.560                  -0.19770  3 -14.401  40.5 127.99  0.000
## 3   5.446        0.0571500           3 -15.196  42.1 129.58  0.000
## 7   5.559        0.0006701 -0.19750  4 -14.401  44.5 131.90  0.000
## Models ranked by BIC(x) 
## 
## [[152]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2      x3 df logLik   BIC  delta weight
## 2   4.999 0.9209                    3 51.270 -90.8   0.00  0.421
## 6   4.965 0.9150           0.07232  4 52.798 -89.9   0.86  0.274
## 4   5.030 0.9265 -0.071080          4 52.557 -89.5   1.34  0.216
## 8   4.995 0.9205 -0.057130 0.06084  5 53.633 -87.7   3.10  0.089
## 1   5.495                           2 -7.392  22.6 113.41  0.000
## 5   5.421                  0.14480  3 -6.813  25.4 116.17  0.000
## 3   5.490         0.009715          3 -7.390  26.5 117.32  0.000
## 7   5.396         0.043530 0.15330  4 -6.769  29.2 119.99  0.000
## Models ranked by BIC(x) 
## 
## [[153]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC delta weight
## 2   4.947 1.022                    3  34.361 -57.0  0.00  0.509
## 4   5.004 1.022 -0.11140           4  35.882 -56.1  0.87  0.330
## 6   4.924 1.028           0.03968  4  34.568 -53.5  3.50  0.089
## 8   4.975 1.030 -0.12030  0.05684  5  36.326 -53.1  3.89  0.073
## 1   5.501                          2 -11.041  29.9 86.89  0.000
## 3   5.557       -0.11050           3 -10.804  33.3 90.33  0.000
## 5   5.549                -0.09312  3 -10.852  33.4 90.43  0.000
## 7   5.591       -0.09805 -0.07940  4 -10.668  37.0 93.97  0.000
## Models ranked by BIC(x) 
## 
## [[154]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   BIC  delta weight
## 2   4.904 1.067                     3  39.471 -67.2   0.00  0.507
## 4   4.948 1.078 -0.09548            4  41.107 -66.6   0.64  0.368
## 6   4.902 1.067           0.004933  4  39.475 -63.3   3.90  0.072
## 8   4.951 1.078 -0.09597 -0.005030  5  41.111 -62.7   4.54  0.052
## 1   5.400                           2 -14.445  36.7 103.92  0.000
## 3   5.385        0.02851            3 -14.428  40.6 107.80  0.000
## 5   5.390                 0.019500  3 -14.438  40.6 107.82  0.000
## 7   5.372        0.03066  0.022640  4 -14.419  44.5 111.69  0.000
## Models ranked by BIC(x) 
## 
## [[155]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.944 1.007                    3  42.115 -72.5   0.00  0.470
## 4   4.991 1.006 -0.08555           4  43.552 -71.5   1.04  0.279
## 6   4.970 1.025          -0.07726  4  43.110 -70.6   1.92  0.180
## 8   5.004 1.019 -0.07328 -0.05968  5  44.145 -68.7   3.76  0.071
## 1   5.524                          2 -11.496  30.8 103.31  0.000
## 5   5.448                 0.16870  3 -10.914  33.6 106.06  0.000
## 3   5.581       -0.10700           3 -11.239  34.2 106.71  0.000
## 7   5.511       -0.14740  0.20140  4 -10.434  36.5 109.01  0.000
## Models ranked by BIC(x) 
## 
## [[156]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.940 1.023                    3  46.905 -82.1   0.00  0.689
## 6   4.916 1.027           0.04638  4  47.466 -79.3   2.79  0.171
## 4   4.957 1.017 -0.02511           4  47.072 -78.5   3.58  0.115
## 8   4.927 1.024 -0.01433  0.04267  5  47.517 -75.5   6.60  0.025
## 1   5.487                          2 -11.579  31.0 113.06  0.000
## 3   5.602       -0.21080           3 -10.371  32.5 114.55  0.000
## 5   5.503                -0.03254  3 -11.553  34.8 116.91  0.000
## 7   5.656       -0.23070 -0.08784  4 -10.179  36.0 118.08  0.000
## Models ranked by BIC(x) 
## 
## [[157]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.958 1.007                    3  46.832 -81.9   0.00  0.497
## 4   4.992 1.028 -0.08787           4  48.401 -81.2   0.77  0.338
## 6   4.940 1.011           0.03481  4  47.155 -78.7   3.27  0.097
## 8   4.973 1.033 -0.08814  0.03531  5  48.756 -78.0   3.98  0.068
## 1   5.443                          2 -11.440  30.7 112.63  0.000
## 3   5.354        0.18080           3 -10.763  33.3 115.19  0.000
## 5   5.479                -0.07608  3 -11.289  34.3 116.24  0.000
## 7   5.389        0.17890 -0.07238  4 -10.622  36.9 118.82  0.000
## Models ranked by BIC(x) 
## 
## [[158]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.935 1.027                    3  45.174 -78.6   0.00  0.483
## 4   4.984 1.013 -0.08151           4  46.775 -77.9   0.71  0.339
## 6   4.911 1.031           0.03958  4  45.551 -75.5   3.16  0.100
## 8   4.959 1.017 -0.08383  0.04391  5  47.270 -75.0   3.63  0.079
## 1   5.442                          2 -14.047  35.9 114.53  0.000
## 3   5.571       -0.24920           3 -12.609  37.0 115.57  0.000
## 5   5.472                -0.05527  3 -13.978  39.7 118.30  0.000
## 7   5.590       -0.24660 -0.03871  4 -12.573  40.8 119.41  0.000
## Models ranked by BIC(x) 
## 
## [[159]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   BIC  delta weight
## 2   5.008 0.9009                   3 43.460 -75.2   0.00  0.682
## 6   4.986 0.9003          0.04620  4 43.935 -72.2   2.96  0.155
## 4   5.029 0.8996 -0.03979          4 43.781 -71.9   3.27  0.133
## 8   5.007 0.8991 -0.03928 0.04580  5 44.255 -68.9   6.24  0.030
## 1   5.440                          2 -9.477  26.8 101.96  0.000
## 3   5.477        -0.07185          3 -9.351  30.4 105.62  0.000
## 5   5.413                 0.05773  3 -9.388  30.5 105.70  0.000
## 7   5.450        -0.07119 0.05698  4 -9.264  34.2 109.36  0.000
## Models ranked by BIC(x) 
## 
## [[160]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.941 1.019                    3  49.385 -87.0   0.00  0.560
## 4   4.976 1.025 -0.07746           4  50.745 -85.8   1.19  0.309
## 6   4.943 1.020          -0.00495  4  49.392 -83.1   3.90  0.080
## 8   4.989 1.029 -0.08493 -0.02504  5  50.917 -82.3   4.76  0.052
## 1   5.429                          2 -15.138  38.1 125.13  0.000
## 5   5.352                 0.16940  3 -14.508  40.8 127.79  0.000
## 3   5.420        0.01987           3 -15.131  42.0 129.03  0.000
## 7   5.310        0.07176  0.18500  4 -14.424  44.5 131.53  0.000
## Models ranked by BIC(x) 
## 
## [[161]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1        x2       x3 df  logLik   BIC  delta weight
## 2   4.957 1.018                     3  47.737 -83.7   0.00  0.447
## 4   4.992 1.025 -0.085280           4  49.611 -83.6   0.16  0.412
## 6   4.972 1.016           -0.03054  4  47.949 -80.3   3.49  0.078
## 8   4.999 1.024 -0.082730 -0.01663  5  49.676 -79.8   3.94  0.062
## 1   5.470                           2 -12.588  33.0 116.74  0.000
## 5   5.508                 -0.07950  3 -12.460  36.7 120.39  0.000
## 3   5.466        0.006998           3 -12.587  36.9 120.65  0.000
## 7   5.501        0.019260 -0.08264  4 -12.451  40.6 124.29  0.000
## Models ranked by BIC(x) 
## 
## [[162]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   BIC  delta weight
## 2   4.936 1.049                     3  41.520 -71.3   0.00  0.547
## 4   4.979 1.047 -0.08855            4  42.953 -70.3   1.05  0.324
## 6   4.944 1.051          -0.018460  4  41.583 -67.5   3.79  0.082
## 8   4.980 1.047 -0.08804 -0.002809  5  42.955 -66.3   4.95  0.046
## 1   5.413                           2 -14.147  36.1 107.42  0.000
## 3   5.465       -0.11090            3 -13.910  39.6 110.86  0.000
## 5   5.368                 0.097510  3 -13.954  39.6 110.95  0.000
## 7   5.420       -0.13290  0.120600  4 -13.622  42.9 114.20  0.000
## Models ranked by BIC(x) 
## 
## [[163]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC  delta weight
## 2   4.986 0.9749                    3 53.008 -94.3   0.00  0.662
## 4   5.012 0.9699 -0.05237           4 53.829 -92.0   2.27  0.213
## 6   4.984 0.9737          0.005201  4 53.014 -90.4   3.90  0.094
## 8   5.010 0.9686 -0.05242 0.005810  5 53.837 -88.1   6.17  0.030
## 1   5.509                           2 -7.538  22.9 117.18  0.000
## 5   5.379                 0.246000  3 -6.172  24.1 118.36  0.000
## 3   5.570        -0.13660           3 -7.041  25.8 120.10  0.000
## 7   5.440        -0.13410 0.244300  4 -5.666  27.0 121.26  0.000
## Models ranked by BIC(x) 
## 
## [[164]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df logLik   BIC  delta weight
## 2   4.930 1.073                   3 43.047 -74.4   0.00  0.489
## 4   4.980 1.067 -0.09363          4 44.745 -73.8   0.52  0.377
## 6   4.921 1.070          0.01863  4 43.123 -70.6   3.76  0.075
## 8   4.970 1.063 -0.09429 0.02116  5 44.850 -70.1   4.22  0.059
## 1   5.422                         2 -9.465  26.8 101.11  0.000
## 3   5.497       -0.15030          3 -8.940  29.6 103.98  0.000
## 5   5.351                0.13170  3 -8.988  29.7 104.07  0.000
## 7   5.426       -0.15340 0.13470  4 -8.430  32.5 106.87  0.000
## Models ranked by BIC(x) 
## 
## [[165]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.948 1.024                    3  39.404 -67.1   0.00  0.574
## 6   4.900 1.032           0.09128  4  40.580 -65.5   1.56  0.263
## 4   4.971 1.025 -0.04985           4  39.810 -64.0   3.10  0.122
## 8   4.917 1.032 -0.02669  0.08247  5  40.690 -61.8   5.25  0.042
## 1   5.447                          2 -16.184  40.2 107.26  0.000
## 5   5.463                -0.03133  3 -16.169  44.1 111.15  0.000
## 3   5.460       -0.02578           3 -16.173  44.1 111.15  0.000
## 7   5.487       -0.03819 -0.04390  4 -16.146  47.9 115.01  0.000
## Models ranked by BIC(x) 
## 
## [[166]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.943 1.004                   3  44.988 -78.2   0.00  0.577
## 4   4.978 1.010 -0.06729          4  45.847 -76.0   2.19  0.193
## 6   4.919 0.997          0.05762  4  45.724 -75.8   2.44  0.170
## 8   4.954 1.003 -0.06852 0.05885  5  46.642 -73.7   4.52  0.060
## 1   5.399                         2 -11.702  31.2 109.47  0.000
## 5   5.316                0.17330  3 -11.004  33.7 111.98  0.000
## 3   5.376        0.04018          3 -11.671  35.1 113.32  0.000
## 7   5.297        0.03441 0.17230  4 -10.980  37.6 115.85  0.000
## Models ranked by BIC(x) 
## 
## [[167]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df  logLik   BIC delta weight
## 2   5.005 0.9150                     3  36.069 -60.4  0.00  0.680
## 4   5.039 0.9249 -0.06753            4  36.779 -57.9  2.49  0.196
## 6   5.004 0.9150           0.001303  4  36.069 -56.5  3.91  0.096
## 8   5.037 0.9251 -0.06761  0.003172  5  36.780 -54.0  6.40  0.028
## 1   5.437                            2 -11.066  30.0 90.36  0.000
## 3   5.393         0.07689            3 -10.924  33.6 93.99  0.000
## 5   5.474                 -0.062980  3 -10.980  33.7 94.10  0.000
## 7   5.430         0.07788 -0.064320  4 -10.835  37.3 97.72  0.000
## Models ranked by BIC(x) 
## 
## [[168]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.954 0.9768                   3  46.197 -80.7   0.00  0.743
## 4   4.971 0.9739 -0.02663          4  46.377 -77.1   3.55  0.126
## 6   4.946 0.9751          0.01861  4  46.267 -76.9   3.77  0.113
## 8   4.963 0.9728 -0.02478 0.01467  5  46.420 -73.3   7.38  0.019
## 1   5.448                          2 -13.346  34.5 115.17  0.000
## 3   5.520        -0.13200          3 -12.930  37.6 118.25  0.000
## 5   5.383                 0.13480  3 -13.003  37.7 118.40  0.000
## 7   5.456        -0.11650 0.11490  4 -12.683  41.0 121.67  0.000
## Models ranked by BIC(x) 
## 
## [[169]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.954 0.9963                    3  42.056 -72.4   0.00  0.578
## 4   4.990 0.9993 -0.07529           4  43.308 -71.0   1.41  0.286
## 6   4.939 0.9975           0.02792  4  42.189 -68.7   3.65  0.093
## 8   4.980 1.0000 -0.07346  0.01877  5  43.370 -67.2   5.20  0.043
## 1   5.492                           2 -12.446  32.7 105.09  0.000
## 3   5.512        -0.03845           3 -12.410  36.6 108.93  0.000
## 5   5.502                 -0.02040  3 -12.438  36.6 108.99  0.000
## 7   5.526        -0.04098 -0.02557  4 -12.398  40.4 112.82  0.000
## Models ranked by BIC(x) 
## 
## [[170]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   BIC  delta weight
## 2   4.958 0.9508                   3 51.223 -90.7   0.00  0.680
## 4   4.981 0.9504 -0.04329          4 51.724 -87.8   2.91  0.159
## 6   4.944 0.9515          0.03142  4 51.505 -87.4   3.35  0.127
## 8   4.967 0.9511 -0.04880 0.03800  5 52.138 -84.7   5.99  0.034
## 1   5.405                          2 -9.666  27.2 117.86  0.000
## 3   5.432        -0.05328          3 -9.600  30.9 121.65  0.000
## 5   5.399                 0.01229  3 -9.662  31.1 121.77  0.000
## 7   5.426        -0.05617 0.01988  4 -9.590  34.8 125.54  0.000
## Models ranked by BIC(x) 
## 
## [[171]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.961 1.016                   3  47.450 -83.2   0.00  0.626
## 4   4.984 1.016 -0.05053          4  48.242 -80.8   2.33  0.195
## 6   4.941 1.014          0.04152  4  47.866 -80.1   3.08  0.134
## 8   4.964 1.014 -0.05177 0.04341  5  48.711 -77.9   5.30  0.044
## 1   5.492                         2 -13.790  35.4 118.57  0.000
## 5   5.453                0.07971  3 -13.658  39.1 122.22  0.000
## 3   5.515       -0.05144          3 -13.720  39.2 122.34  0.000
## 7   5.476       -0.05377 0.08167  4 -13.581  42.8 125.97  0.000
## Models ranked by BIC(x) 
## 
## [[172]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2       x3 df logLik   BIC delta weight
## 4   5.036 0.9219 -0.109900           4 40.524 -65.4  0.00  0.420
## 2   4.989 0.9087                     3 38.489 -65.2  0.16  0.388
## 8   5.062 0.9217 -0.107400 -0.05798  5 41.022 -62.5  2.92  0.098
## 6   5.020 0.9089           -0.06348  4 39.041 -62.4  2.97  0.095
## 1   5.439                            2 -5.991  19.8 85.21  0.000
## 5   5.469                  -0.06114  3 -5.905  23.5 88.95  0.000
## 3   5.444        -0.009636           3 -5.989  23.7 89.11  0.000
## 7   5.472        -0.007045 -0.06077  4 -5.904  27.5 92.86  0.000
## Models ranked by BIC(x) 
## 
## [[173]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   BIC delta weight
## 2   4.953 0.9987                     3 39.513 -67.3  0.00  0.556
## 4   4.996 1.0050 -0.09780            4 40.906 -66.2  1.13  0.317
## 6   4.959 1.0070          -0.017590  4 39.557 -63.5  3.82  0.082
## 8   4.996 1.0040 -0.09822  0.002068  5 40.906 -62.3  5.04  0.045
## 5   5.272                  0.310100  3 -1.559  14.9 82.14  0.000
## 1   5.445                            2 -4.510  16.8 84.13  0.000
## 7   5.315        -0.11720  0.332600  4 -1.195  18.0 85.33  0.000
## 3   5.465        -0.04147            3 -4.468  20.7 87.96  0.000
## Models ranked by BIC(x) 
## 
## [[174]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.929 1.073                   3  44.652 -77.6   0.00  0.435
## 4   4.985 1.041 -0.09114          4  46.299 -77.0   0.62  0.319
## 6   4.907 1.058          0.06474  4  45.580 -75.5   2.06  0.155
## 8   4.961 1.031 -0.08389 0.05496  5  46.999 -74.4   3.13  0.091
## 3   5.667       -0.42490          3  -9.429  30.6 108.16  0.000
## 7   5.556       -0.38650 0.20390  4  -8.357  32.4 109.93  0.000
## 1   5.481                         2 -13.547  34.9 112.49  0.000
## 5   5.355                0.27310  3 -11.837  35.4 112.98  0.000
## Models ranked by BIC(x) 
## 
## [[175]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   BIC delta weight
## 2   4.994 0.9225                   3 42.601 -73.5  0.00  0.669
## 4   5.019 0.9297 -0.05177          4 43.276 -70.9  2.56  0.186
## 6   4.979 0.9190          0.03102  4 42.791 -69.9  3.53  0.114
## 8   5.005 0.9265 -0.04983 0.02639  5 43.415 -67.3  6.20  0.030
## 1   5.437                          2 -5.502  18.8 92.29  0.000
## 5   5.373                 0.12020  3 -5.080  21.9 95.36  0.000
## 3   5.417         0.03704          3 -5.451  22.6 96.11  0.000
## 7   5.347         0.04469 0.12370  4 -5.006  25.7 99.13  0.000
## Models ranked by BIC(x) 
## 
## [[176]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.901 1.096                    3  48.269 -84.8   0.00  0.376
## 4   4.934 1.111 -0.09134           4  50.087 -84.5   0.28  0.327
## 6   4.859 1.109           0.06837  4  49.406 -83.2   1.64  0.166
## 8   4.894 1.122 -0.08726  0.06340  5  51.133 -82.7   2.10  0.132
## 1   5.494                          2 -15.469  38.8 123.56  0.000
## 5   5.563                -0.13350  3 -15.124  42.0 126.79  0.000
## 3   5.443        0.11320           3 -15.251  42.2 127.04  0.000
## 7   5.513        0.10120 -0.12490  4 -14.949  45.5 130.35  0.000
## Models ranked by BIC(x) 
## 
## [[177]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   BIC delta weight
## 2   4.982 0.9721                   3 43.447 -75.2  0.00  0.489
## 4   5.018 0.9781 -0.09367          4 44.904 -74.2  1.00  0.297
## 6   4.959 0.9655          0.05437  4 44.008 -72.4  2.79  0.121
## 8   4.994 0.9708 -0.09973 0.06266  5 45.691 -71.8  3.34  0.092
## 1   5.492                          2 -4.173  16.2 91.33  0.000
## 5   5.419                 0.14880  3 -3.539  18.8 93.97  0.000
## 3   5.506        -0.03579          3 -4.142  20.0 95.18  0.000
## 7   5.439        -0.05169 0.15340  4 -3.474  22.6 97.75  0.000
## Models ranked by BIC(x) 
## 
## [[178]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1      x2        x3 df logLik   BIC  delta weight
## 2   4.934 1.0110                    3 45.817 -79.9   0.00  0.519
## 4   5.007 0.9708 -0.1035            4 47.390 -79.1   0.76  0.354
## 6   4.932 1.0120          0.005119  4 45.822 -76.0   3.90  0.074
## 8   5.019 0.9678 -0.1084 -0.017520  5 47.450 -75.3   4.56  0.053
## 3   5.744        -0.5276            3 -2.595  16.9  96.82  0.000
## 7   5.839        -0.5611 -0.162400  4 -1.875  19.4  99.30  0.000
## 1   5.488                           2 -8.687  25.2 105.09  0.000
## 5   5.517                -0.059880  3 -8.608  29.0 108.85  0.000
## Models ranked by BIC(x) 
## 
## [[179]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.937 1.046                    3  51.625 -91.5   0.00  0.713
## 6   4.953 1.050          -0.04017  4  52.079 -88.5   3.00  0.159
## 4   4.943 1.046 -0.01015           4  51.657 -87.7   3.85  0.104
## 8   4.959 1.049 -0.01146 -0.04058  5  52.121 -84.7   6.83  0.023
## 1   5.446                          2 -16.955  41.7 133.25  0.000
## 3   5.490       -0.08682           3 -16.803  45.3 136.86  0.000
## 5   5.413                 0.07667  3 -16.848  45.4 136.95  0.000
## 7   5.457       -0.08397  0.07302  4 -16.705  49.1 140.57  0.000
## Models ranked by BIC(x) 
## 
## [[180]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   BIC  delta weight
## 2   4.956 1.042                     3  39.914 -68.1   0.00  0.564
## 4   5.012 1.026 -0.09968            4  41.274 -66.9   1.19  0.311
## 6   4.952 1.042           0.008079  4  39.924 -64.2   3.89  0.081
## 8   5.017 1.025 -0.10130 -0.008181  5  41.285 -63.0   5.08  0.044
## 1   5.470                           2 -11.514  30.9  98.94  0.000
## 3   5.608       -0.28740            3 -10.022  31.8  99.87  0.000
## 5   5.497                -0.058050  3 -11.445  34.6 102.72  0.000
## 7   5.665       -0.30550 -0.103800  4  -9.792  35.2 103.32  0.000
## Models ranked by BIC(x) 
## 
## [[181]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.949 1.031                    3  38.780 -65.8   0.00  0.625
## 4   5.005 1.010 -0.08673           4  39.793 -63.9   1.88  0.244
## 6   4.958 1.030          -0.01913  4  38.839 -62.0   3.79  0.094
## 8   5.015 1.009 -0.08741 -0.02140  5  39.871 -60.2   5.64  0.037
## 3   5.683       -0.36960           3 -10.310  32.4  98.18  0.000
## 1   5.492                          2 -12.891  33.6  99.43  0.000
## 7   5.710       -0.37080 -0.05676  4 -10.237  36.1 101.95  0.000
## 5   5.516                -0.04981  3 -12.840  37.4 103.24  0.000
## Models ranked by BIC(x) 
## 
## [[182]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   BIC  delta weight
## 4   4.988 1.058 -0.10280          4  50.125 -84.6   0.00  0.473
## 2   4.930 1.065                   3  47.763 -83.8   0.81  0.315
## 8   4.959 1.059 -0.09665 0.04998  5  50.661 -81.8   2.84  0.114
## 6   4.898 1.066          0.06296  4  48.552 -81.5   3.15  0.098
## 1   5.424                         2 -10.410  28.6 113.25  0.000
## 3   5.516       -0.17790          3  -9.740  31.2 115.82  0.000
## 5   5.398                0.05123  3 -10.360  32.5 117.06  0.000
## 7   5.501       -0.17440 0.02794  4  -9.725  35.1 119.70  0.000
## Models ranked by BIC(x) 
## 
## [[183]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   BIC  delta weight
## 2   4.957 0.9935                     3 46.700 -81.7   0.00  0.741
## 4   4.973 0.9929 -0.03294            4 46.937 -78.2   3.44  0.133
## 6   4.952 0.9939           0.009706  4 46.718 -77.8   3.88  0.107
## 8   4.968 0.9933 -0.03267  0.008582  5 46.952 -74.3   7.32  0.019
## 1   5.479                            2 -9.140  26.1 107.77  0.000
## 3   5.503        -0.04917            3 -9.084  29.9 111.57  0.000
## 5   5.500                 -0.044450  3 -9.099  29.9 111.60  0.000
## 7   5.526        -0.05056 -0.046140  4 -9.039  33.7 115.39  0.000
## Models ranked by BIC(x) 
## 
## [[184]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.892 1.139                    3  45.575 -79.4   0.00  0.731
## 4   4.913 1.131 -0.03496           4  45.796 -75.9   3.47  0.129
## 6   4.880 1.141           0.02192  4  45.716 -75.8   3.63  0.119
## 8   4.902 1.132 -0.03558  0.02253  5  45.946 -72.3   7.08  0.021
## 1   5.401                          2 -16.430  40.7 120.10  0.000
## 3   5.567       -0.32320           3 -14.697  41.1 120.54  0.000
## 5   5.411                -0.02126  3 -16.419  44.6 123.99  0.000
## 7   5.573       -0.32270 -0.01293  4 -14.693  45.0 124.45  0.000
## Models ranked by BIC(x) 
## 
## [[185]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   BIC  delta weight
## 2   4.941 1.065                     3  36.925 -62.1   0.00  0.627
## 4   4.990 1.042 -0.08677            4  37.943 -60.2   1.88  0.245
## 6   4.948 1.067          -0.016780  4  36.974 -58.3   3.81  0.093
## 8   4.991 1.043 -0.08591 -0.004575  5  37.947 -56.3   5.78  0.035
## 3   5.646       -0.37230            3 -11.347  34.4  96.54  0.000
## 1   5.489                           2 -14.067  36.0  98.07  0.000
## 7   5.588       -0.39180  0.141600  4 -10.836  37.3  99.43  0.000
## 5   5.443                 0.097920  3 -13.846  39.4 101.54  0.000
## Models ranked by BIC(x) 
## 
## [[186]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df  logLik   BIC  delta weight
## 2   4.958 0.9948                     3  39.646 -67.6   0.00  0.572
## 4   5.002 0.9934 -0.08173            4  40.956 -66.3   1.29  0.300
## 6   4.969 0.9929          -0.019620  4  39.704 -63.8   3.80  0.086
## 8   5.004 0.9929 -0.08099 -0.005365  5  40.961 -62.4   5.20  0.043
## 1   5.500                            2 -15.460  38.7 106.30  0.000
## 5   5.571                 -0.149200  3 -15.085  41.9 109.46  0.000
## 3   5.552        -0.09966            3 -15.250  42.2 109.79  0.000
## 7   5.607        -0.08082 -0.135000  4 -14.948  45.5 113.10  0.000
## Models ranked by BIC(x) 
## 
## [[187]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   BIC  delta weight
## 2   4.916 1.057                     3  51.600 -91.5   0.00  0.452
## 4   4.955 1.068 -0.08729            4  53.495 -91.3   0.12  0.424
## 6   4.917 1.057          -0.002054  4  51.602 -87.6   3.91  0.064
## 8   4.956 1.068 -0.08728 -0.001516  5  53.495 -87.4   4.03  0.060
## 1   5.446                           2 -13.681  35.2 126.65  0.000
## 3   5.413        0.06566            3 -13.604  38.9 130.41  0.000
## 5   5.473                -0.050610  3 -13.628  39.0 130.46  0.000
## 7   5.439        0.06569 -0.050640  4 -13.551  42.7 134.21  0.000
## Models ranked by BIC(x) 
## 
## [[188]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1      x2       x3 df  logLik   BIC  delta weight
## 2   4.959 0.9654                   3  47.770 -83.8   0.00  0.712
## 4   4.943 0.9561 0.03703           4  48.049 -80.4   3.36  0.133
## 6   4.944 0.9663         0.035110  4  48.031 -80.4   3.39  0.131
## 8   4.927 0.9570 0.03717 0.035250  5  48.314 -77.1   6.74  0.025
## 3   5.208        0.32980           3  -9.773  31.3 115.09  0.000
## 1   5.393                          2 -12.046  31.9 115.72  0.000
## 7   5.204        0.32990 0.008457  4  -9.772  35.2 119.00  0.000
## 5   5.391                0.004571  3 -12.046  35.8 119.63  0.000
## Models ranked by BIC(x) 
## 
## [[189]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik   BIC delta weight
## 2   5.019 0.9101                   3  38.408 -65.1  0.00  0.737
## 6   5.007 0.9060          0.03156  4  38.575 -61.5  3.58  0.123
## 4   5.031 0.9160 -0.03145          4  38.541 -61.4  3.65  0.119
## 8   5.019 0.9122 -0.03571 0.03505  5  38.745 -57.9  7.15  0.021
## 1   5.424                          2 -10.483  28.8 93.87  0.000
## 3   5.335         0.19350          3  -9.727  31.2 96.27  0.000
## 5   5.351                 0.15900  3  -9.869  31.5 96.55  0.000
## 7   5.281         0.17310 0.13780  4  -9.261  34.2 99.25  0.000
## Models ranked by BIC(x) 
## 
## [[190]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   BIC delta weight
## 2   4.941 1.018                   3  31.898 -52.1  0.00  0.497
## 4   4.984 1.038 -0.10930          4  33.551 -51.5  0.61  0.367
## 6   4.925 1.017          0.02940  4  32.015 -48.4  3.68  0.079
## 8   4.970 1.036 -0.10800 0.02355  5  33.631 -47.7  4.36  0.056
## 1   5.436                         2 -12.496  32.8 84.88  0.000
## 5   5.394                0.07459  3 -12.368  36.5 88.53  0.000
## 3   5.414        0.04732          3 -12.444  36.6 88.68  0.000
## 7   5.368        0.05083 0.07694  4 -12.307  40.3 92.32  0.000
## Models ranked by BIC(x) 
## 
## [[191]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2         x3 df  logLik   BIC  delta weight
## 2   4.958 1.045                      3  50.683 -89.6   0.00  0.457
## 4   5.002 1.028 -0.08230             4  52.546 -89.4   0.19  0.416
## 6   4.958 1.045          -0.0001768  4  50.683 -85.7   3.91  0.065
## 8   5.012 1.028 -0.08501 -0.0155300  5  52.611 -85.7   3.97  0.063
## 1   5.396                            2 -10.054  27.9 117.56  0.000
## 3   5.518       -0.26890             3  -8.234  28.2 117.83  0.000
## 5   5.381                 0.0294500  3 -10.034  31.8 121.43  0.000
## 7   5.530       -0.27260 -0.0213600  4  -8.223  32.1 121.72  0.000
## Models ranked by BIC(x) 
## 
## [[192]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   BIC  delta weight
## 2   4.983 0.9449                     3 50.689 -89.6   0.00  0.697
## 4   5.011 0.9330 -0.04417            4 51.283 -86.9   2.72  0.179
## 6   4.983 0.9449          6.749e-05  4 50.689 -85.7   3.91  0.099
## 8   5.011 0.9329 -0.04420 1.233e-03  5 51.284 -83.0   6.63  0.025
## 1   5.465                            2 -3.350  14.5 104.17  0.000
## 3   5.572        -0.21500            3 -1.606  14.9 104.59  0.000
## 5   5.417                 9.906e-02  3 -3.084  17.9 107.55  0.000
## 7   5.524        -0.21480 9.860e-02  4 -1.323  18.3 107.94  0.000
## Models ranked by BIC(x) 
## 
## [[193]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   BIC  delta weight
## 2   4.933 1.042                     3  42.186 -72.6   0.00  0.603
## 4   4.980 1.022 -0.07370            4  43.348 -71.0   1.59  0.273
## 6   4.931 1.043           0.003715  4  42.189 -68.7   3.91  0.086
## 8   4.982 1.022 -0.07391 -0.002580  5  43.349 -67.1   5.50  0.039
## 3   5.627       -0.30730            3 -10.876  33.5 106.12  0.000
## 1   5.472                           2 -13.274  34.4 107.01  0.000
## 7   5.696       -0.31340 -0.126600  4 -10.496  36.6 109.28  0.000
## 5   5.529                -0.109400  3 -13.016  37.8 110.40  0.000
## Models ranked by BIC(x) 
## 
## [[194]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df logLik   BIC  delta weight
## 2   4.925 1.081                   3 51.524 -91.3   0.00  0.493
## 4   4.953 1.086 -0.06664          4 53.016 -90.4   0.93  0.310
## 6   4.907 1.078          0.04290  4 52.096 -88.5   2.77  0.123
## 8   4.936 1.082 -0.06494 0.03997  5 53.541 -87.5   3.79  0.074
## 1   5.481                         2 -7.454  22.7 114.05  0.000
## 5   5.436                0.10070  3 -7.157  26.0 117.36  0.000
## 3   5.491       -0.02131          3 -7.440  26.6 117.93  0.000
## 7   5.444       -0.01741 0.09999  4 -7.147  29.9 121.26  0.000
## Models ranked by BIC(x) 
## 
## [[195]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2        x3 df  logLik   BIC  delta weight
## 2   4.972 0.9803                      3  39.406 -67.1   0.00  0.703
## 4   4.999 0.9836 -0.062000            4  39.943 -64.2   2.84  0.170
## 6   4.980 0.9780           -0.015220  4  39.442 -63.2   3.84  0.103
## 8   5.003 0.9823 -0.060920 -0.007597  5  39.952 -60.3   6.73  0.024
## 1   5.445                             2 -13.350  34.5 101.60  0.000
## 5   5.539                  -0.190300  3 -12.626  37.0 104.06  0.000
## 3   5.442         0.007685            3 -13.349  38.4 105.51  0.000
## 7   5.525         0.033230 -0.194000  4 -12.607  40.9 107.94  0.000
## Models ranked by BIC(x) 
## 
## [[196]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.954 1.049                    3  45.972 -80.2   0.00  0.702
## 4   4.979 1.043 -0.05194           4  46.446 -77.2   2.96  0.159
## 6   4.969 1.049          -0.02531  4  46.096 -76.5   3.66  0.112
## 8   4.995 1.043 -0.05254 -0.02638  5  46.583 -73.6   6.60  0.026
## 1   5.518                          2 -15.319  38.5 118.67  0.000
## 3   5.606       -0.20650           3 -14.661  41.1 121.27  0.000
## 5   5.541                -0.04037  3 -15.292  42.3 122.53  0.000
## 7   5.631       -0.20740 -0.04430  4 -14.627  44.9 125.11  0.000
## Models ranked by BIC(x) 
## 
## [[197]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df logLik   BIC delta weight
## 2   4.936 1.038                   3 36.220 -60.7  0.00  0.423
## 4   4.989 1.041 -0.12050          4 38.162 -60.7  0.03  0.417
## 6   4.916 1.032          0.04970  4 36.590 -57.5  3.17  0.087
## 8   4.973 1.037 -0.11560 0.03607  5 38.369 -57.2  3.53  0.073
## 1   5.488                         2 -7.269  22.4 83.07  0.000
## 5   5.428                0.13350  3 -6.795  25.3 86.03  0.000
## 3   5.532       -0.09560          3 -7.062  25.9 86.56  0.000
## 7   5.468       -0.07898 0.12440  4 -6.653  29.0 89.66  0.000
## Models ranked by BIC(x) 
## 
## [[198]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.973 0.9659                    3  41.036 -70.3   0.00  0.740
## 4   4.995 0.9583 -0.03402           4  41.236 -66.8   3.51  0.128
## 6   4.960 0.9706           0.02062  4  41.115 -66.6   3.75  0.113
## 8   4.983 0.9626 -0.03172  0.01652  5  41.286 -63.0   7.32  0.019
## 1   5.435                           2 -13.031  33.9 104.22  0.000
## 3   5.583        -0.27640           3 -11.379  34.5 104.83  0.000
## 5   5.538                 -0.21080  3 -12.009  35.8 106.09  0.000
## 7   5.705        -0.29360 -0.23110  4 -10.066  35.8 106.12  0.000
## Models ranked by BIC(x) 
## 
## [[199]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   BIC  delta weight
## 2   5.003 0.9482                    3  39.414 -67.1   0.00  0.548
## 4   5.032 0.9607 -0.07433           4  40.376 -65.1   1.99  0.203
## 6   4.966 0.9549           0.06558  4  40.253 -64.9   2.23  0.180
## 8   4.994 0.9675 -0.07446  0.06571  5  41.252 -62.9   4.15  0.069
## 1   5.524                           2 -13.559  34.9 102.03  0.000
## 3   5.470         0.11250           3 -13.289  38.3 105.41  0.000
## 5   5.543                 -0.03665  3 -13.528  38.8 105.88  0.000
## 7   5.489         0.11190 -0.03482  4 -13.260  42.2 109.26  0.000
## Models ranked by BIC(x) 
## 
## [[200]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df logLik   BIC  delta weight
## 2   4.968 0.9274                   3 50.137 -88.5   0.00  0.749
## 4   4.981 0.9293 -0.02491          4 50.274 -84.9   3.64  0.122
## 6   4.963 0.9248          0.01311  4 50.183 -84.7   3.82  0.111
## 8   4.975 0.9266 -0.02543 0.01389  5 50.326 -81.1   7.44  0.018
## 1   5.377                          2 -5.615  19.1 107.59  0.000
## 5   5.288                 0.17050  3 -4.722  21.2 109.72  0.000
## 3   5.347         0.05260          3 -5.549  22.8 111.37  0.000
## 7   5.265         0.04347 0.16870  4 -4.675  25.0 113.54  0.000
## Models ranked by BIC(x) 
## 
## [[201]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   BIC  delta weight
## 2   4.946 1.0150                     3 46.210 -80.7   0.00  0.623
## 4   4.992 0.9989 -0.06948            4 47.260 -78.9   1.81  0.252
## 6   4.949 1.0150          -0.005674  4 46.216 -76.8   3.90  0.089
## 8   4.995 0.9986 -0.06953 -0.006236  5 47.268 -75.0   5.71  0.036
## 1   5.490                            2 -8.080  24.0 104.67  0.000
## 3   5.632        -0.26590            3 -6.214  24.2 104.85  0.000
## 5   5.521                 -0.065670  3 -7.989  27.7 108.40  0.000
## 7   5.662        -0.26550 -0.064160  4 -6.120  27.9 108.57  0.000
## Models ranked by BIC(x) 
## 
## [[202]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df logLik   BIC  delta weight
## 2   4.948 1.001                    3 40.031 -68.3   0.00  0.457
## 4   4.988 1.017 -0.09977           4 41.843 -68.0   0.29  0.396
## 6   4.964 1.006          -0.04016  4 40.319 -65.0   3.34  0.086
## 8   4.995 1.019 -0.09554 -0.02213  5 41.933 -64.3   4.02  0.061
## 1   5.482                          2 -9.461  26.7  95.07  0.000
## 5   5.447                 0.07438  3 -9.323  30.4  98.71  0.000
## 3   5.463        0.03947           3 -9.422  30.6  98.91  0.000
## 7   5.437        0.02528  0.06923  4 -9.307  34.3 102.59  0.000
## Models ranked by BIC(x) 
## 
## [[203]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.930 1.079                   3  45.266 -78.8   0.00  0.643
## 4   4.960 1.079 -0.06478          4  46.169 -76.7   2.11  0.224
## 6   4.919 1.079          0.02025  4  45.344 -75.0   3.76  0.098
## 8   4.949 1.079 -0.06555 0.02273  5  46.271 -73.0   5.82  0.035
## 1   5.471                         2 -17.783  43.4 122.19  0.000
## 3   5.501       -0.06416          3 -17.713  47.2 125.96  0.000
## 5   5.449                0.04222  3 -17.756  47.2 126.04  0.000
## 7   5.479       -0.06568 0.04470  4 -17.683  51.0 129.81  0.000
## Models ranked by BIC(x) 
## 
## [[204]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.943 1.008                    3  51.277 -90.8   0.00  0.486
## 4   4.973 1.023 -0.07476           4  52.748 -89.8   0.97  0.299
## 8   5.018 1.024 -0.09177 -0.06909  5  53.756 -88.0   2.87  0.116
## 6   4.966 1.006          -0.04168  4  51.646 -87.6   3.17  0.099
## 1   5.501                          2 -18.343  44.5 135.33  0.000
## 3   5.387        0.21710           3 -17.540  46.8 137.63  0.000
## 5   5.559                -0.10850  3 -18.189  48.1 138.93  0.000
## 7   5.416        0.20640 -0.04417  4 -17.515  50.7 141.50  0.000
## Models ranked by BIC(x) 
## 
## [[205]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.955 1.022                    3  40.454 -69.2   0.00  0.701
## 4   4.985 1.021 -0.05777           4  40.995 -66.3   2.83  0.170
## 6   4.962 1.026          -0.01518  4  40.499 -65.3   3.82  0.104
## 8   4.991 1.024 -0.05787 -0.01551  5  41.043 -62.5   6.65  0.025
## 1   5.451                          2 -13.507  34.8 104.01  0.000
## 5   5.350                 0.19440  3 -12.606  36.9 106.12  0.000
## 3   5.497       -0.09110           3 -13.352  38.4 107.61  0.000
## 7   5.395       -0.08832  0.19330  4 -12.455  40.6 109.73  0.000
## Models ranked by BIC(x) 
## 
## [[206]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.916 1.061                   3  42.022 -72.3   0.00  0.633
## 4   4.955 1.055 -0.07207          4  42.958 -70.3   2.04  0.228
## 6   4.901 1.056          0.03211  4  42.174 -68.7   3.61  0.104
## 8   4.945 1.053 -0.06901 0.01790  5  43.006 -66.5   5.86  0.034
## 1   5.486                         2 -14.839  37.5 109.81  0.000
## 5   5.352                0.24380  3 -13.893  39.5 111.83  0.000
## 3   5.567       -0.16440          3 -14.339  40.4 112.72  0.000
## 7   5.428       -0.12450 0.21700  4 -13.608  42.9 115.17  0.000
## Models ranked by BIC(x) 
## 
## [[207]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.957 1.033                    3  43.427 -75.1   0.00  0.579
## 4   4.992 1.022 -0.06533           4  44.583 -73.5   1.60  0.260
## 6   4.969 1.030          -0.02067  4  43.491 -71.3   3.78  0.087
## 8   5.048 1.009 -0.09005 -0.07391  5  45.280 -71.0   4.12  0.074
## 1   5.460                          2 -11.182  30.2 105.31  0.000
## 3   5.544       -0.18130           3 -10.164  32.1 107.18  0.000
## 7   5.765       -0.28710 -0.33700  4  -8.427  32.5 107.62  0.000
## 5   5.551                -0.17770  3 -10.634  33.0 108.12  0.000
## Models ranked by BIC(x) 
## 
## [[208]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1      x2       x3 df  logLik   BIC  delta weight
## 4   5.010 0.9972 -0.1114           4  46.569 -77.5   0.00  0.504
## 2   4.970 0.9733                   3  44.194 -76.7   0.84  0.331
## 8   5.018 0.9992 -0.1042 -0.02754  5  46.714 -73.9   3.62  0.082
## 6   4.992 0.9805         -0.05448  4  44.751 -73.9   3.64  0.082
## 1   5.460                          2 -12.904  33.6 111.12  0.000
## 3   5.392         0.1454           3 -12.485  36.7 114.20  0.000
## 5   5.411                 0.10350  3 -12.697  37.1 114.62  0.000
## 7   5.369         0.1264  0.06710  4 -12.403  40.5 117.95  0.000
## Models ranked by BIC(x) 
## 
## [[209]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   BIC  delta weight
## 2   4.989 0.9570                     3 48.711 -85.7   0.00  0.582
## 4   5.024 0.9653 -0.07398            4 49.981 -84.3   1.37  0.293
## 6   4.987 0.9565          0.0048800  4 48.716 -81.8   3.90  0.083
## 8   5.023 0.9652 -0.07394 0.0007785  5 49.981 -80.4   5.28  0.041
## 1   5.435                            2 -6.400  20.6 106.31  0.000
## 5   5.379                 0.1229000  3 -6.086  23.9 109.59  0.000
## 3   5.419         0.03050            3 -6.377  24.5 110.18  0.000
## 7   5.360         0.03466 0.1243000  4 -6.055  27.8 113.44  0.000
## Models ranked by BIC(x) 
## 
## [[210]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2       x3 df  logLik   BIC  delta weight
## 2   4.967 0.9797                     3  48.477 -85.2   0.00  0.595
## 6   4.930 0.9863            0.06502  4  49.656 -83.7   1.55  0.273
## 4   4.973 0.9793 -0.009509           4  48.499 -81.3   3.87  0.086
## 8   4.942 0.9855 -0.027380  0.07114  5  49.836 -80.1   5.11  0.046
## 1   5.439                            2 -12.388  32.6 117.82  0.000
## 3   5.473        -0.063830           3 -12.302  36.3 121.56  0.000
## 5   5.456                  -0.03287  3 -12.362  36.5 121.68  0.000
## 7   5.480        -0.058820 -0.01957  4 -12.293  40.2 125.45  0.000
## Models ranked by BIC(x) 
## 
## [[211]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC  delta weight
## 2   4.972 0.9484                    3 48.412 -85.1   0.00  0.377
## 6   5.025 0.9380          -0.08169  4 49.979 -84.3   0.78  0.256
## 4   5.015 0.9504 -0.07863           4 49.862 -84.1   1.01  0.227
## 8   5.062 0.9404 -0.07384 -0.07711  5 51.333 -83.1   1.98  0.140
## 1   5.431                           2 -8.500  24.8 109.91  0.000
## 5   5.553                 -0.20670  3 -7.463  26.7 111.75  0.000
## 3   5.460        -0.05320           3 -8.433  28.6 113.69  0.000
## 7   5.574        -0.04123 -0.20430  4 -7.422  30.5 115.58  0.000
## Models ranked by BIC(x) 
## 
## [[212]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC  delta weight
## 2   4.979 0.9161                    3 48.124 -84.5   0.00  0.552
## 6   5.016 0.9179          -0.07985  4 49.407 -83.2   1.35  0.282
## 4   4.991 0.9315 -0.03855           4 48.460 -81.3   3.24  0.109
## 8   5.028 0.9332 -0.03854 -0.07984  5 49.760 -80.0   4.55  0.057
## 3   5.305         0.26730           3 -1.971  15.7 100.19  0.000
## 1   5.446                           2 -4.343  16.5 101.02  0.000
## 7   5.334         0.26780 -0.06098  4 -1.873  19.4 103.90  0.000
## 5   5.473                 -0.05843  3 -4.260  20.3 104.77  0.000
## Models ranked by BIC(x) 
## 
## [[213]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.915 1.073                    3  36.986 -62.2   0.00  0.497
## 4   4.950 1.077 -0.08364           4  38.223 -60.8   1.44  0.242
## 6   4.867 1.092           0.07610  4  37.928 -60.2   2.03  0.180
## 8   4.904 1.093 -0.07980  0.07146  5  39.092 -58.6   3.61  0.082
## 1   5.436                          2 -14.592  37.0  99.24  0.000
## 5   5.514                -0.15370  3 -14.083  39.9 102.14  0.000
## 3   5.457       -0.04935           3 -14.538  40.8 103.05  0.000
## 7   5.542       -0.05900 -0.15740  4 -14.005  43.7 105.89  0.000
## Models ranked by BIC(x) 
## 
## [[214]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.934 1.030                   3  42.955 -74.2   0.00  0.728
## 4   4.953 1.025 -0.03224          4  43.160 -70.7   3.50  0.126
## 6   4.919 1.028          0.03178  4  43.142 -70.6   3.54  0.124
## 8   4.939 1.022 -0.03310 0.03270  5  43.360 -67.2   7.01  0.022
## 1   5.462                         2 -12.587  33.0 107.17  0.000
## 3   5.562       -0.19430          3 -11.746  35.2 109.40  0.000
## 5   5.412                0.10130  3 -12.380  36.5 110.67  0.000
## 7   5.511       -0.19590 0.10450  4 -11.518  38.7 112.86  0.000
## Models ranked by BIC(x) 
## 
## [[215]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   BIC  delta weight
## 2   5.004 0.9224                    3  47.067 -82.4   0.00  0.613
## 6   4.965 0.9305           0.07146  4  47.947 -80.2   2.15  0.209
## 4   5.029 0.9212 -0.05028           4  47.534 -79.4   2.98  0.138
## 8   4.989 0.9288 -0.03902  0.06405  5  48.228 -76.9   5.50  0.039
## 1   5.543                           2 -10.825  29.5 111.87  0.000
## 5   5.587                 -0.09353  3 -10.675  33.1 115.48  0.000
## 3   5.582        -0.08159           3 -10.704  33.1 115.54  0.000
## 7   5.644        -0.10080 -0.11190  4 -10.495  36.6 119.04  0.000
## Models ranked by BIC(x) 
## 
## [[216]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   BIC  delta weight
## 2   4.897 1.076                     3  43.922 -76.1   0.00  0.510
## 4   4.952 1.065 -0.08659            4  45.543 -75.4   0.67  0.365
## 6   4.902 1.075          -0.007524  4  43.934 -72.2   3.89  0.073
## 8   4.957 1.063 -0.08675 -0.008932  5  45.562 -71.6   4.54  0.053
## 1   5.404                           2 -17.484  42.8 118.90  0.000
## 5   5.516                -0.226900  3 -16.432  44.6 120.71  0.000
## 3   5.537       -0.23360            3 -16.466  44.7 120.77  0.000
## 7   5.647       -0.23100 -0.224400  4 -15.394  46.4 122.54  0.000
## Models ranked by BIC(x) 
## 
## [[217]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df logLik   BIC  delta weight
## 2   4.945 1.048                   3 54.175 -96.6   0.00  0.411
## 4   4.969 1.057 -0.06928          4 55.817 -96.0   0.63  0.300
## 8   4.947 1.047 -0.07753 0.06467  5 57.114 -94.7   1.95  0.155
## 6   4.925 1.038          0.05331  4 55.008 -94.4   2.25  0.134
## 1   5.451                         2 -9.381  26.6 123.20  0.000
## 5   5.343                0.22650  3 -8.150  28.0 124.65  0.000
## 3   5.433        0.04359          3 -9.331  30.4 127.01  0.000
## 7   5.339        0.01086 0.22470  4 -8.147  31.9 128.56  0.000
## Models ranked by BIC(x) 
## 
## [[218]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik    BIC  delta weight
## 4   5.035 0.9506 -0.07412           4 58.376 -101.1   0.00  0.381
## 2   4.994 0.9567                    3 56.241 -100.7   0.36  0.319
## 6   5.028 0.9515          -0.05712  4 57.501  -99.4   1.75  0.159
## 8   5.060 0.9467 -0.06778 -0.04833  5 59.336  -99.1   1.99  0.141
## 1   5.504                           2 -8.459   24.7 125.84  0.000
## 3   5.578        -0.14450           3 -7.863   27.5 128.57  0.000
## 5   5.576                 -0.13460  3 -7.936   27.6 128.71  0.000
## 7   5.632        -0.12840 -0.11720  4 -7.466   30.6 131.68  0.000
## Models ranked by BIC(x) 
## 
## [[219]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2        x3 df logLik   BIC delta weight
## 2   5.052 0.8560                     3 39.378 -67.0  0.00  0.490
## 4   5.097 0.8454 -0.08882            4 41.090 -66.5  0.49  0.384
## 6   5.054 0.8561          -0.003663  4 39.381 -63.1  3.91  0.069
## 8   5.104 0.8457 -0.09004 -0.013690  5 41.123 -62.7  4.33  0.056
## 1   5.493                            2 -5.986  19.8 86.82  0.000
## 3   5.570        -0.17190            3 -4.943  21.6 88.64  0.000
## 5   5.481                  0.025860  3 -5.968  23.7 90.69  0.000
## 7   5.566        -0.17130  0.006106  4 -4.942  25.5 92.55  0.000
## Models ranked by BIC(x) 
## 
## [[220]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.953 0.9817                   3  44.424 -77.1   0.00  0.728
## 4   4.969 0.9820 -0.03198          4  44.653 -73.7   3.45  0.130
## 6   4.939 0.9809          0.02422  4  44.571 -73.5   3.62  0.119
## 8   4.955 0.9811 -0.03654 0.02929  5  44.867 -70.2   6.94  0.023
## 1   5.525                          2 -12.255  32.3 109.45  0.000
## 5   5.496                 0.05112  3 -12.187  36.1 113.22  0.000
## 3   5.537        -0.02270          3 -12.244  36.2 113.33  0.000
## 7   5.509        -0.03136 0.05547  4 -12.165  40.0 117.09  0.000
## Models ranked by BIC(x) 
## 
## [[221]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   BIC  delta weight
## 4   5.011 1.038 -0.09987          4  48.360 -81.1   0.00  0.456
## 2   4.959 1.043                   3  46.257 -80.8   0.29  0.393
## 6   4.939 1.038          0.04112  4  46.584 -77.5   3.55  0.077
## 8   4.997 1.036 -0.09599 0.02606  5  48.499 -77.4   3.63  0.074
## 1   5.515                         2 -15.876  39.6 120.65  0.000
## 5   5.412                0.19330  3 -15.260  42.3 123.33  0.000
## 3   5.592       -0.15630          3 -15.460  42.7 123.73  0.000
## 7   5.487       -0.12960 0.17250  4 -14.975  45.6 126.67  0.000
## Models ranked by BIC(x) 
## 
## [[222]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.894 1.089                    3  48.855 -86.0   0.00  0.580
## 4   4.934 1.074 -0.07351           4  50.116 -84.6   1.39  0.289
## 6   4.900 1.094          -0.01881  4  48.918 -82.2   3.79  0.087
## 8   4.940 1.079 -0.07362 -0.01933  5  50.186 -80.8   5.16  0.044
## 5   5.223                 0.42620  3 -17.172  46.1 132.05  0.000
## 7   5.381       -0.32500  0.39690  4 -15.306  46.3 132.24  0.000
## 3   5.573       -0.35460           3 -17.588  46.9 132.89  0.000
## 1   5.415                          2 -19.622  47.1 133.04  0.000
## Models ranked by BIC(x) 
## 
## [[223]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df logLik   BIC  delta weight
## 2   4.933 1.030                    3 50.820 -89.9   0.00  0.729
## 4   4.943 1.037 -0.02925           4 51.015 -86.4   3.52  0.125
## 6   4.946 1.031          -0.02531  4 51.011 -86.4   3.53  0.125
## 8   4.953 1.037 -0.02508 -0.02160  5 51.151 -82.7   7.16  0.020
## 1   5.486                          2 -9.155  26.1 116.04  0.000
## 3   5.375        0.23400           3 -7.915  27.6 117.47  0.000
## 5   5.474                 0.02311  3 -9.141  30.0 119.92  0.000
## 7   5.382        0.23690 -0.01481  4 -7.909  31.5 121.37  0.000
## Models ranked by BIC(x) 
## 
## [[224]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2      x3 df logLik   BIC  delta weight
## 4   5.022 0.9525 -0.090200          4 52.659 -89.7   0.00  0.456
## 2   4.988 0.9432                    3 50.453 -89.2   0.50  0.355
## 6   4.963 0.9424           0.05570  4 51.251 -86.9   2.82  0.111
## 8   5.006 0.9511 -0.080840 0.02811  5 52.853 -86.1   3.52  0.078
## 1   5.442                           2 -7.727  23.3 112.95  0.000
## 5   5.411                  0.07014  3 -7.606  26.9 116.62  0.000
## 3   5.439         0.006818          3 -7.726  27.2 116.86  0.000
## 7   5.391         0.033570 0.08155  4 -7.580  30.8 120.48  0.000
## Models ranked by BIC(x) 
## 
## [[225]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.924 1.084                   3  48.005 -84.3   0.00  0.520
## 4   4.974 1.059 -0.07062          4  49.061 -82.5   1.80  0.212
## 6   4.902 1.074          0.06163  4  48.981 -82.3   1.96  0.195
## 8   4.950 1.050 -0.06659 0.05782  5  49.952 -80.3   3.93  0.073
## 3   5.752       -0.51390          3 -13.216  38.2 122.44  0.000
## 7   5.650       -0.48840 0.19740  4 -12.339  40.3 124.60  0.000
## 1   5.485                         2 -18.262  44.3 128.62  0.000
## 5   5.370                0.25700  3 -17.019  45.8 130.05  0.000
## Models ranked by BIC(x) 
## 
## [[226]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1        x2        x3 df  logLik   BIC delta weight
## 2   4.979 0.9250                      3  36.463 -61.2  0.00  0.653
## 4   5.020 0.9310 -0.079770            4  37.338 -59.0  2.16  0.222
## 6   4.986 0.9230           -0.011150  4  36.477 -57.3  3.88  0.094
## 8   5.022 0.9305 -0.079560 -0.002487  5  37.339 -55.1  6.07  0.031
## 1   5.452                             2 -10.538  28.9 90.09  0.000
## 5   5.575                  -0.242400  3  -9.489  30.7 91.90  0.000
## 3   5.450         0.003396            3 -10.537  32.8 94.00  0.000
## 7   5.565         0.020940 -0.244200  4  -9.480  34.6 95.80  0.000
## Models ranked by BIC(x) 
## 
## [[227]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.983 0.9549                   3  42.573 -73.4   0.00  0.393
## 4   5.023 0.9595 -0.08909          4  44.239 -72.8   0.58  0.294
## 6   4.945 0.9466          0.07878  4  43.701 -71.8   1.66  0.172
## 8   4.985 0.9512 -0.08946 0.07926  5  45.462 -71.4   2.05  0.141
## 1   5.455                          2 -10.661  29.1 102.56  0.000
## 5   5.353                 0.19100  3  -9.868  31.5 104.88  0.000
## 3   5.474        -0.04016          3 -10.622  33.0 106.39  0.000
## 7   5.373        -0.04207 0.19150  4  -9.823  35.3 108.70  0.000
## Models ranked by BIC(x) 
## 
## [[228]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.942 0.9824                    3  38.923 -66.1   0.00  0.578
## 4   4.979 0.9901 -0.07569           4  39.916 -64.2   1.93  0.220
## 6   4.920 0.9841          0.050380  4  39.337 -63.0   3.08  0.124
## 8   4.955 0.9946 -0.09503 0.075840  5  40.834 -62.1   4.00  0.078
## 1   5.418                           2 -12.906  33.6  99.75  0.000
## 3   5.402         0.03002           3 -12.887  37.5 103.62  0.000
## 5   5.412                 0.013870  3 -12.903  37.5 103.65  0.000
## 7   5.400         0.02843 0.006372  4 -12.886  41.4 107.53  0.000
## Models ranked by BIC(x) 
## 
## [[229]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC  delta weight
## 2   4.985 0.9635                    3 42.490 -73.2   0.00  0.654
## 4   5.019 0.9592 -0.05996           4 43.152 -70.7   2.59  0.179
## 6   4.964 0.9663           0.04150  4 42.815 -70.0   3.26  0.128
## 8   4.997 0.9621 -0.06330  0.04596  5 43.559 -67.6   5.69  0.038
## 1   5.466                           2 -7.570  23.0  96.21  0.000
## 3   5.531        -0.12460           3 -7.184  26.1  99.35  0.000
## 5   5.475                 -0.01885  3 -7.561  26.9 100.10  0.000
## 7   5.535        -0.12390 -0.00961  4 -7.182  30.0 103.26  0.000
## Models ranked by BIC(x) 
## 
## [[230]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1      x2      x3 df  logLik   BIC  delta weight
## 2   4.904 1.069                  3  43.461 -75.2   0.00  0.408
## 4   4.974 1.046 -0.1007          4  45.118 -74.6   0.60  0.302
## 8   4.950 1.026 -0.1093 0.08228  5  46.370 -73.2   2.01  0.149
## 6   4.877 1.054         0.07170  4  44.353 -73.1   2.13  0.141
## 7   5.521       -0.3812 0.32460  4  -7.745  31.1 106.32  0.000
## 3   5.670       -0.3675          3 -10.068  31.9 107.06  0.000
## 1   5.459                        2 -12.600  33.0 108.21  0.000
## 5   5.309               0.30950  3 -10.704  33.1 108.33  0.000
## Models ranked by BIC(x) 
## 
## [[231]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2     x3 df  logLik   BIC  delta weight
## 6   4.856 1.073          0.1247  4  36.768 -57.9   0.00  0.353
## 2   4.928 1.073                  3  34.745 -57.8   0.13  0.330
## 4   4.961 1.097 -0.09337         4  36.134 -56.6   1.27  0.187
## 8   4.892 1.092 -0.07559 0.1094  5  37.714 -55.9   2.02  0.129
## 1   5.485                        2 -16.143  40.1  98.00  0.000
## 3   5.411        0.15170         3 -15.644  43.0 100.91  0.000
## 5   5.412                0.1272  3 -15.877  43.5 101.38  0.000
## 7   5.306        0.17660 0.1626  4 -15.213  46.1 103.96  0.000
## Models ranked by BIC(x) 
## 
## [[232]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.975 1.006                    3  40.166 -68.6   0.00  0.605
## 4   5.007 1.013 -0.07226           4  41.170 -66.7   1.90  0.234
## 6   4.954 1.011           0.03443  4  40.403 -65.2   3.44  0.109
## 8   4.981 1.021 -0.08080  0.04802  5  41.638 -63.7   4.88  0.053
## 1   5.432                          2 -13.158  34.1 102.74  0.000
## 5   5.486                -0.09942  3 -12.919  37.6 106.17  0.000
## 3   5.416        0.03158           3 -13.136  38.0 106.60  0.000
## 7   5.466        0.04876 -0.10680  4 -12.866  41.4 109.98  0.000
## Models ranked by BIC(x) 
## 
## [[233]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC  delta weight
## 2   4.975 0.9568                    3 44.813 -77.9   0.00  0.707
## 4   4.995 0.9655 -0.05354           4 45.322 -75.0   2.90  0.166
## 6   4.972 0.9543          0.009472  4 44.836 -74.0   3.87  0.102
## 8   4.991 0.9620 -0.05533 0.014380  5 45.373 -71.2   6.70  0.025
## 1   5.514                           2 -5.766  19.4  97.25  0.000
## 5   5.427                 0.184400  3 -4.571  20.9  98.77  0.000
## 3   5.466         0.10250           3 -5.514  22.8 100.66  0.000
## 7   5.396         0.07358 0.176000  4 -4.438  24.5 102.42  0.000
## Models ranked by BIC(x) 
## 
## [[234]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.936 0.9888                    3  45.784 -79.8   0.00  0.678
## 4   4.964 1.0020 -0.05951           4  46.488 -77.3   2.50  0.194
## 6   4.947 0.9876          -0.01625  4  45.814 -76.0   3.85  0.099
## 8   4.981 1.0010 -0.06148 -0.02481  5  46.558 -73.6   6.28  0.029
## 1   5.368                           2 -10.404  28.6 108.47  0.000
## 3   5.273         0.17120           3  -9.757  31.3 111.08  0.000
## 5   5.463                 -0.14830  3 -10.141  32.0 111.85  0.000
## 7   5.356         0.16010 -0.12160  4  -9.579  34.8 114.64  0.000
## Models ranked by BIC(x) 
## 
## [[235]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC  delta weight
## 2   4.972 1.0030                    3 44.969 -78.2   0.00  0.680
## 4   4.995 1.0100 -0.05877           4 45.645 -75.6   2.56  0.189
## 6   4.984 0.9983          -0.01850  4 45.037 -74.4   3.78  0.103
## 8   5.005 1.0050 -0.05833 -0.01703  5 45.704 -71.8   6.35  0.028
## 1   5.471                           2 -8.848  25.5 103.72  0.000
## 5   5.588                 -0.24550  3 -7.332  26.4 104.60  0.000
## 3   5.448         0.05206           3 -8.786  29.3 107.51  0.000
## 7   5.565         0.05150 -0.24540  4 -7.268  30.2 108.39  0.000
## Models ranked by BIC(x) 
## 
## [[236]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC delta weight
## 2   4.955 1.027                    3  34.916 -58.1  0.00  0.551
## 4   4.989 1.039 -0.08126           4  35.906 -56.2  1.93  0.210
## 6   4.988 1.025          -0.06405  4  35.583 -55.5  2.58  0.152
## 8   5.037 1.039 -0.09661 -0.08085  5  36.984 -54.4  3.69  0.087
## 1   5.559                          2 -10.367  28.6 86.65  0.000
## 5   5.604                -0.08930  3 -10.157  32.0 90.14  0.000
## 3   5.536        0.04603           3 -10.315  32.4 90.46  0.000
## 7   5.586        0.03005 -0.08397  4 -10.135  35.9 94.01  0.000
## Models ranked by BIC(x) 
## 
## [[237]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.952 1.018                   3  40.076 -68.4   0.00  0.723
## 4   4.971 1.021 -0.04413          4  40.420 -65.2   3.22  0.144
## 6   4.941 1.015          0.02268  4  40.155 -64.7   3.75  0.111
## 8   4.961 1.018 -0.04271 0.01906  5  40.477 -61.4   7.02  0.022
## 1   5.509                         2 -15.347  38.5 106.93  0.000
## 5   5.405                0.18450  3 -14.754  41.2 109.66  0.000
## 3   5.495        0.03191          3 -15.327  42.4 110.81  0.000
## 7   5.384        0.04408 0.18770  4 -14.715  45.1 113.49  0.000
## Models ranked by BIC(x) 
## 
## [[238]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.927 1.0210                    3  40.252 -68.8   0.00  0.518
## 4   4.987 0.9878 -0.09020           4  41.367 -67.1   1.68  0.224
## 6   4.968 1.0060          -0.06864  4  41.214 -66.8   1.99  0.192
## 8   5.016 0.9783 -0.07997 -0.05942  5  42.103 -64.6   4.12  0.066
## 3   5.721        -0.53190           3  -9.578  30.9  99.66  0.000
## 7   5.789        -0.48640 -0.18670  4  -8.607  32.9 101.63  0.000
## 1   5.469                           2 -15.103  38.0 106.80  0.000
## 5   5.602                 -0.27720  3 -13.275  38.3 107.05  0.000
## Models ranked by BIC(x) 
## 
## [[239]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2         x3 df  logLik   BIC  delta weight
## 2   4.993 0.9281                      3  42.390 -73.0   0.00  0.708
## 4   5.013 0.9401 -0.05048             4  42.906 -70.2   2.88  0.168
## 6   4.995 0.9287          -0.0042130  4  42.394 -69.1   3.90  0.101
## 8   5.012 0.9400 -0.05058  0.0009597  5  42.906 -66.3   6.79  0.024
## 1   5.452                             2 -12.367  32.6 105.60  0.000
## 3   5.354         0.19120             3 -11.477  34.7 107.73  0.000
## 5   5.376                  0.1357000  3 -11.900  35.5 108.58  0.000
## 7   5.299         0.17520  0.1119000  4 -11.156  38.0 111.00  0.000
## Models ranked by BIC(x) 
## 
## [[240]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.960 0.9972                   3  38.738 -65.7   0.00  0.605
## 4   4.996 0.9964 -0.07731          4  39.845 -64.0   1.70  0.259
## 6   4.949 0.9947          0.02314  4  38.843 -62.0   3.70  0.095
## 8   4.984 0.9936 -0.07808 0.02535  5  39.977 -60.4   5.35  0.042
## 1   5.516                          2 -11.069  30.0  95.70  0.000
## 5   5.456                 0.11070  3 -10.737  33.2  98.95  0.000
## 3   5.556        -0.08630          3 -10.884  33.5  99.24  0.000
## 7   5.496        -0.08963 0.11310  4 -10.535  36.7 102.46  0.000
## Models ranked by BIC(x) 
## 
## [[241]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.958 0.9756                    3  37.956 -64.2   0.00  0.636
## 4   4.987 0.9811 -0.06620           4  38.739 -61.8   2.35  0.197
## 6   4.986 0.9734          -0.04961  4  38.301 -61.0   3.22  0.127
## 8   5.015 0.9789 -0.06625 -0.04970  5  39.096 -58.6   5.54  0.040
## 1   5.417                           2 -14.339  36.5 100.68  0.000
## 5   5.474                 -0.10620  3 -14.144  40.0 104.20  0.000
## 3   5.408         0.01915           3 -14.331  40.4 104.57  0.000
## 7   5.465         0.01863 -0.10610  4 -14.136  43.9 108.10  0.000
## Models ranked by BIC(x) 
## 
## [[242]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1      x2        x3 df  logLik   BIC  delta weight
## 2   4.955 0.9473                    3  39.773 -67.8   0.00  0.473
## 4   5.017 0.9371 -0.1099            4  41.533 -67.4   0.39  0.388
## 6   4.968 0.9482         -0.029540  4  39.895 -64.1   3.67  0.076
## 8   5.031 0.9379 -0.1102 -0.030630  5  41.674 -63.8   4.02  0.063
## 1   5.433                           2 -11.536  30.9  98.71  0.000
## 3   5.551        -0.2262            3 -10.583  32.9 100.71  0.000
## 5   5.430                 0.007384  3 -11.535  34.8 102.62  0.000
## 7   5.549        -0.2262  0.004326  4 -10.583  36.8 104.62  0.000
## Models ranked by BIC(x) 
## 
## [[243]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1        x2       x3 df  logLik   BIC  delta weight
## 2   4.907 1.083                     3  44.295 -76.9   0.00  0.678
## 6   4.933 1.080           -0.05034  4  44.877 -74.1   2.75  0.172
## 4   4.888 1.084  0.036840           4  44.549 -73.4   3.40  0.124
## 8   4.917 1.082  0.025400 -0.04505  5  44.994 -70.4   6.43  0.027
## 1   5.512                           2 -16.232  40.3 117.14  0.000
## 5   5.565                 -0.10560  3 -16.005  43.7 120.60  0.000
## 3   5.514       -0.003638           3 -16.231  44.2 121.05  0.000
## 7   5.584       -0.031880 -0.11220  4 -15.989  47.6 124.48  0.000
## Models ranked by BIC(x) 
## 
## [[244]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC  delta weight
## 2   4.972 0.9897                    3 42.845 -74.0   0.00  0.693
## 4   4.998 0.9946 -0.05529           4 43.450 -71.3   2.70  0.179
## 6   4.977 0.9913          -0.01187  4 42.873 -70.1   3.86  0.101
## 8   5.005 0.9967 -0.05613 -0.01496  5 43.495 -67.4   6.52  0.027
## 1   5.387                           2 -7.887  23.6  97.55  0.000
## 5   5.337                  0.10250  3 -7.607  26.9 100.90  0.000
## 3   5.377         0.02016           3 -7.877  27.5 101.44  0.000
## 7   5.324         0.02484  0.10360  4 -7.591  30.8 104.78  0.000
## Models ranked by BIC(x) 
## 
## [[245]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2         x3 df  logLik   BIC  delta weight
## 2   4.912 1.091                      3  40.276 -68.8   0.00  0.764
## 4   4.920 1.091 -0.01426             4  40.308 -65.0   3.85  0.111
## 6   4.916 1.091          -0.0077700  4  40.287 -64.9   3.89  0.109
## 8   4.923 1.091 -0.01426 -0.0077750  5  40.318 -61.1   7.74  0.016
## 1   5.429                            2 -12.599  33.0 101.84  0.000
## 3   5.453       -0.04626             3 -12.559  36.9 105.67  0.000
## 5   5.429                -0.0006546  3 -12.599  36.9 105.75  0.000
## 7   5.454       -0.04626 -0.0006804  4 -12.559  40.8 109.58  0.000
## Models ranked by BIC(x) 
## 
## [[246]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2      x3 df  logLik   BIC  delta weight
## 2   4.931 1.024                   3  39.599 -67.5   0.00  0.494
## 4   4.974 1.026 -0.10190          4  41.202 -66.8   0.71  0.347
## 6   4.914 1.018          0.04148  4  39.910 -64.2   3.29  0.095
## 8   4.959 1.021 -0.10020 0.03753  5  41.472 -63.4   4.08  0.064
## 1   5.417                         2 -18.871  45.6 113.03  0.000
## 5   5.313                0.22120  3 -17.986  47.7 115.17  0.000
## 3   5.448       -0.07123          3 -18.798  49.3 116.79  0.000
## 7   5.341       -0.06181 0.21900  4 -17.929  51.5 118.97  0.000
## Models ranked by BIC(x) 
## 
## [[247]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC  delta weight
## 2   5.005 0.8827                    3 45.931 -80.1   0.00  0.527
## 4   5.050 0.8843 -0.07369           4 47.304 -79.0   1.17  0.294
## 6   5.031 0.8836          -0.05185  4 46.462 -77.3   2.85  0.127
## 8   5.063 0.8847 -0.06649 -0.03424  5 47.534 -75.5   4.62  0.052
## 1   5.502                           2 -2.601  13.0  93.15  0.000
## 3   5.538        -0.05924           3 -2.477  16.7  96.82  0.000
## 5   5.521                 -0.03762  3 -2.561  16.9  96.98  0.000
## 7   5.547        -0.05436 -0.02321  4 -2.462  20.6 100.70  0.000
## Models ranked by BIC(x) 
## 
## [[248]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2       x3 df logLik   BIC  delta weight
## 2   5.003 0.9300                    3 47.491 -83.2   0.00  0.704
## 4   5.022 0.9375 -0.05090           4 48.015 -80.4   2.86  0.168
## 6   5.010 0.9281          -0.01260  4 47.531 -79.4   3.83  0.104
## 8   5.027 0.9362 -0.04996 -0.00788  5 48.031 -76.5   6.74  0.024
## 1   5.455                           2 -7.170  22.2 105.41  0.000
## 5   5.522                 -0.13720  3 -6.618  25.0 108.22  0.000
## 3   5.408         0.10410           3 -6.919  25.6 108.82  0.000
## 7   5.474         0.11740 -0.14570  4 -6.293  28.2 111.48  0.000
## Models ranked by BIC(x) 
## 
## [[249]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.940 1.049                    3  39.077 -66.4   0.00  0.451
## 4   4.986 1.066 -0.11450           4  40.945 -66.2   0.18  0.413
## 6   4.920 1.050          0.036360  4  39.271 -62.9   3.52  0.077
## 8   4.983 1.065 -0.11330 0.003684  5  40.946 -62.3   4.09  0.059
## 1   5.426                          2 -13.764  35.4 101.77  0.000
## 3   5.397        0.06261           3 -13.697  39.1 105.55  0.000
## 5   5.417                0.017150  3 -13.758  39.3 105.67  0.000
## 7   5.370        0.07432 0.038760  4 -13.673  43.0 109.41  0.000
## Models ranked by BIC(x) 
## 
## [[250]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2         x3 df  logLik   BIC  delta weight
## 2   4.935 1.020                      3  44.112 -76.5   0.00  0.723
## 4   4.957 1.031 -0.04836             4  44.511 -73.4   3.11  0.153
## 6   4.936 1.020          -0.0027900  4  44.113 -72.6   3.91  0.102
## 8   4.957 1.031 -0.04832 -0.0009064  5  44.511 -69.5   7.02  0.022
## 1   5.369                            2 -11.190  30.2 106.69  0.000
## 3   5.255        0.20710             3 -10.332  32.4 108.89  0.000
## 5   5.369                -0.0005093  3 -11.190  34.1 110.60  0.000
## 7   5.259        0.20750 -0.0087060  4 -10.330  36.3 112.80  0.000
## Models ranked by BIC(x) 
## 
## [[251]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)     x1       x2         x3 df logLik   BIC  delta weight
## 2   4.992 0.9938                      3 45.899 -80.1   0.00  0.600
## 4   5.014 1.0080 -0.07424             4 47.070 -78.5   1.57  0.274
## 6   5.000 0.9894          -0.0118900  4 45.929 -76.2   3.85  0.087
## 8   5.015 1.0080 -0.07413 -0.0007229  5 47.070 -74.6   5.48  0.039
## 5   5.634                 -0.3299000  3 -6.443  24.6 104.68  0.000
## 1   5.472                             2 -9.435  26.7 106.76  0.000
## 7   5.582         0.14020 -0.3397000  4 -5.918  27.5 107.55  0.000
## 3   5.426         0.11410             3 -9.126  30.0 110.05  0.000
## Models ranked by BIC(x) 
## 
## [[252]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 2   4.935 1.051                    3  46.569 -81.4   0.00  0.469
## 4   4.978 1.045 -0.08680           4  48.262 -80.9   0.53  0.360
## 6   4.956 1.046          -0.03907  4  46.928 -78.2   3.19  0.095
## 8   4.999 1.040 -0.08718 -0.03984  5  48.662 -77.8   3.64  0.076
## 1   5.493                          2 -11.570  31.0 112.37  0.000
## 3   5.565       -0.15530           3 -11.050  33.8 115.24  0.000
## 5   5.565                -0.14840  3 -11.056  33.8 115.25  0.000
## 7   5.636       -0.15550 -0.14870  4 -10.524  36.7 118.10  0.000
## Models ranked by BIC(x) 
## 
## [[253]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2       x3 df  logLik   BIC  delta weight
## 4   4.960 1.071 -0.09194           4  46.169 -76.7   0.00  0.433
## 2   4.920 1.062                    3  44.172 -76.6   0.08  0.416
## 6   4.897 1.066           0.04544  4  44.564 -73.5   3.21  0.087
## 8   4.950 1.072 -0.08753  0.01562  5  46.214 -72.9   3.82  0.064
## 1   5.470                          2 -16.231  40.3 116.97  0.000
## 5   5.496                -0.05735  3 -16.175  44.1 120.78  0.000
## 3   5.465        0.00960           3 -16.229  44.2 120.88  0.000
## 7   5.501       -0.00764 -0.06001  4 -16.174  48.0 124.69  0.000
## Models ranked by BIC(x) 
## 
## [[254]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   BIC  delta weight
## 2   4.969 1.015                     3  46.396 -81.1   0.00  0.606
## 4   5.000 1.024 -0.06810            4  47.540 -79.4   1.62  0.269
## 6   4.968 1.015           0.002031  4  46.397 -77.1   3.91  0.086
## 8   5.008 1.024 -0.07104 -0.013180  5  47.583 -75.6   5.45  0.040
## 1   5.470                           2 -12.425  32.7 113.73  0.000
## 3   5.436        0.06480            3 -12.326  36.4 117.44  0.000
## 5   5.489                -0.037310  3 -12.391  36.5 117.57  0.000
## 7   5.451        0.05934 -0.024300  4 -12.313  40.3 121.33  0.000
## Models ranked by BIC(x) 
## 
## [[255]]
## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##   (Intrc)    x1       x2        x3 df  logLik   BIC  delta weight
## 2   4.919 1.069                     3  42.939 -74.1   0.00  0.753
## 4   4.935 1.064 -0.02811            4  43.070 -70.5   3.65  0.121
## 6   4.915 1.070           0.008969  4  42.954 -70.3   3.88  0.108
## 8   4.932 1.065 -0.02746  0.006564  5  43.079 -66.6   7.54  0.017
## 1   5.467                           2 -20.880  49.6 123.73  0.000
## 3   5.606       -0.28860            3 -19.732  51.2 125.34  0.000
## 5   5.559                -0.227500  3 -20.079  51.9 126.03  0.000
## 7   5.710       -0.30180 -0.242100  4 -18.782  53.2 127.35  0.000
## Models ranked by BIC(x)

What about multiple comparisons? We use Bonferroni or other corrections for p-values

Is AIC more likely to retain spurious variables with many comparisons? Answer: Yes

feel free to play aroud with sd below

y <- rnorm(n, mean = a, sd = sdy)
x1=runif(n)
x2=runif(n)
x3=runif(n)
x4=runif(n)
x5=runif(n)
x6=runif(n)
x7=runif(n)
x8=runif(n)
x9=runif(n)
x10=runif(n)
x11=runif(n)
x12=runif(n)


data=data.frame(y,x1,x2,x3,x4,x5,x6,x7,x8,x9,x10,x11,x12)
reg=lm(y~.,data=data)
summary(reg)

## 
## Call:
## lm(formula = y ~ ., data = data)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -4.6333 -1.3151  0.3088  1.6231  3.1415 
## 
## Coefficients:
##              Estimate Std. Error t value Pr(>|t|)   
## (Intercept)  6.949089   2.217680   3.133  0.00337 **
## x1           1.266367   1.174731   1.078  0.28801   
## x2          -2.381126   1.154150  -2.063  0.04617 * 
## x3           2.723985   1.294489   2.104  0.04221 * 
## x4           1.820415   1.204428   1.511  0.13917   
## x5          -0.088205   1.335077  -0.066  0.94768   
## x6          -0.016980   1.134643  -0.015  0.98814   
## x7           0.054478   1.177162   0.046  0.96334   
## x8          -0.980260   1.227614  -0.799  0.42967   
## x9          -3.225342   1.422622  -2.267  0.02931 * 
## x10         -0.443310   1.361501  -0.326  0.74656   
## x11          0.009713   1.215622   0.008  0.99367   
## x12         -2.466117   1.161970  -2.122  0.04056 * 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 2.312 on 37 degrees of freedom
## Multiple R-squared:  0.3307, Adjusted R-squared:  0.1136 
## F-statistic: 1.523 on 12 and 37 DF,  p-value: 0.1597

dredge(reg,rank = "AICc")

## Fixed term is "(Intercept)"

## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##      (Intrc)     x1        x10        x11    x12     x2    x3    x4         x5
## 2169   6.518                              -2.396 -2.233 2.494 1.914           
## 2105   7.147                              -2.246 -2.411 2.707                 
## 2170   6.030 1.1950                       -2.400 -2.401 2.767 1.769           
## 2106   6.512 1.4160                       -2.264 -2.593 3.011                 
## 3193   7.157                              -2.464 -2.231 2.476 2.020           
## 2153   5.215                              -2.354        2.214 2.127           
## 2137   7.388                              -2.067 -1.977       2.149           
## 57     5.804                              -2.225 -2.045 2.575                 
## 2171   6.934        -6.494e-01            -2.408 -2.199 2.464 1.860           
## 2161   5.644                                     -2.190 2.125 1.729           
## 2097   6.266                                     -2.354 2.339                 
## 121    5.149                              -2.346 -1.861 2.386 1.572           
## 2681   6.417                              -2.389 -2.216 2.481 1.868           
## 2425   6.472                              -2.396 -2.233 2.489 1.913           
## 2297   6.565                              -2.386 -2.237 2.473 1.914 -0.1163000
## 2173   6.451                    0.0935000 -2.387 -2.222 2.482 1.925           
## 2107   7.669        -8.496e-01            -2.267 -2.359 2.659                 
## 3129   7.660                              -2.291 -2.416 2.702                 
## 2617   6.776                              -2.233 -2.341 2.648                 
## 2121   6.132                              -2.063              2.316           
## 105    4.208                              -2.317        2.160 1.797           
## 2129   6.506                                     -1.972       1.955           
## 3194   6.701 1.2760                       -2.474 -2.409 2.766 1.876           
## 2361   7.088                              -2.246 -2.410 2.701                 
## 2109   7.238                   -0.1347000 -2.260 -2.426 2.722                 
## 2089   5.805                              -2.182        2.427                 
## 2233   7.194                              -2.236 -2.414 2.686       -0.1165000
## 41     4.860                              -2.173        2.353                 
## 2098   5.637 1.3880                              -2.532 2.635                 
## 2073   8.186                              -1.865 -2.153                       
## 3130   7.084 1.4930                       -2.318 -2.609 3.022                 
## 49     4.945                                     -1.992 2.212                 
## 2108   7.022 1.4030 -8.205e-01            -2.284 -2.541 2.962                 
## 2065   7.317                                     -2.134                       
## 3177   5.860                              -2.422        2.196 2.233           
## 73     5.126                              -2.033              1.989           
## 3161   8.048                              -2.140 -1.976       2.257           
## 2162   5.158 1.1880                              -2.356 2.396 1.584           
## 2172   6.442 1.1910 -6.401e-01            -2.411 -2.366 2.736 1.717           
## 2113   5.255                                                  2.122           
## 58     5.266 0.9511                       -2.235 -2.136 2.768                 
## 2618   6.196 1.3870                       -2.252 -2.527 2.953                 
## 2154   4.804 0.8396                       -2.354        2.391 2.037           
## 2145   4.382                                            1.856 1.941           
## 89     6.034                              -2.033 -1.629       1.809           
## 569    5.357                              -2.209 -1.966 2.500                 
## 2155   5.758        -8.067e-01            -2.370        2.181 2.056           
## 2426   5.935 1.2120                       -2.399 -2.403 2.762 1.764           
## 2174   5.902 1.2060             0.1729000 -2.383 -2.381 2.747 1.787           
## 2682   5.945 1.1910                       -2.393 -2.385 2.755 1.731           
## 2298   6.085 1.1970                       -2.387 -2.405 2.742 1.769 -0.1388000
## 2362   6.396 1.4360                       -2.263 -2.595 3.004                 
## 25     6.879                              -1.863 -1.821                       
## 2234   6.570 1.4190                       -2.250 -2.597 2.986       -0.1431000
## 2110   6.528 1.4150            -0.0224800 -2.266 -2.595 3.014                 
## 2139   7.874        -7.769e-01            -2.086 -1.939       2.081           
## 2138   7.171 0.6595                       -2.049 -2.053       2.083           
## 185    6.215                              -2.159 -2.097 2.452       -0.7388000
## 2265   7.592                              -2.027 -2.006       2.139 -0.5924000
## 2665   5.028                              -2.339        2.191 2.028           
## 2157   4.964                    0.3929000 -2.318        2.169 2.167           
## 33     4.044                                            2.004                 
## 113    4.321                                     -1.826 2.027 1.397           
## 3195   7.416        -4.797e-01            -2.468 -2.206 2.455 1.972           
## 17     6.013                                     -1.803                       
## 2081   4.980                                            2.077                 
## 3185   6.145                                     -2.187 2.102 1.810           
## 2099   6.736        -7.770e-01                   -2.306 2.293                 
## 2609   5.874                                     -2.279 2.279                 
## 2141   7.101                    0.3783000 -2.038 -1.935       2.187           
## 9      5.947                              -1.844                              
## 61     5.605                    0.3744000 -2.187 -2.017 2.536                 
## 2409   5.169                              -2.354        2.209 2.126           
## 2281   5.225                              -2.352        2.209 2.127 -0.0238000
## 2649   7.204                              -2.057 -1.949       2.066           
## 65     4.276                                                  1.802           
## 2393   7.297                              -2.068 -1.978       2.145           
## 3121   6.662                                     -2.357 2.330                 
## 1081   5.880                              -2.234 -2.040 2.572                 
## 3321   7.217                              -2.451 -2.235 2.450 2.020 -0.1425000
## 59     5.875        -1.531e-01            -2.229 -2.029 2.564                 
## 3197   7.214                   -0.0691900 -2.471 -2.240 2.485 2.013           
## 3449   7.193                              -2.465 -2.231 2.479 2.022           
## 3705   7.118                              -2.461 -2.225 2.472 2.003           
## 313    5.832                              -2.226 -2.046 2.578                 
## 3145   6.794                              -2.136              2.425           
## 249    5.585                              -2.276 -1.916 2.249 1.599 -0.8050000
## 122    4.777 0.7348                       -2.346 -1.945 2.548 1.465           
## 1      5.098                                                                  
## 2057   6.877                              -1.843                              
## 2163   6.021        -5.923e-01                   -2.158 2.096 1.679           
## 97     3.407                                            1.810 1.620           
## 81     5.184                                     -1.629       1.623           
## 2225   6.434                                     -2.366 2.276       -0.3793000
## 553    4.360                              -2.155        2.273                 
## 2090   5.252 1.0640                       -2.192        2.640                 
## 125    4.784                    0.6154000 -2.291 -1.805 2.313 1.659           
## 2353   6.206                                     -2.353 2.333                 
## 2101   6.197                    0.1091000        -2.341 2.329                 
## 2289   5.819                                     -2.203 2.059 1.731 -0.3951000
## 633    4.911                              -2.327 -1.825 2.353 1.454           
## 2165   5.420                    0.3313000        -2.150 2.087 1.768           
## 2673   5.499                                     -2.164 2.107 1.661           
## 2123   6.726        -9.044e-01            -2.085              2.233           
## 2049   6.030                                                                  
## 2417   5.596                                     -2.190 2.120 1.727           
## 2091   6.481        -1.042e+00            -2.210        2.376                 
## 3153   7.032                                     -1.971       2.040           
## 2601   5.334                              -2.166        2.356                 
## 109    3.775                    0.7918000 -2.246        2.075 1.901           
## 2619   7.299        -8.864e-01            -2.255 -2.283 2.595                 
## 1145   5.278                              -2.363 -1.850 2.378 1.590           
## 2683   6.824        -6.689e-01            -2.399 -2.177 2.447 1.802           
## 2125   5.712                    0.6115000 -2.015              2.372           
## 377    5.197                              -2.347 -1.863 2.391 1.574           
## 123    5.113         7.088e-02            -2.345 -1.868 2.390 1.580           
## 3131   8.039        -7.384e-01            -2.303 -2.370 2.661                 
## 2175   6.864        -6.507e-01  0.0999700 -2.399 -2.186 2.451 1.871           
## 2427   6.914        -6.443e-01            -2.408 -2.199 2.462 1.860           
## 2299   6.937        -6.480e-01            -2.407 -2.199 2.462 1.860 -0.0085150
## 2130   6.279 0.7161                              -2.055       1.885           
## 617    3.937                              -2.293        2.124 1.645           
## 2633   5.883                              -2.047              2.189           
## 2257   6.792                                     -2.010       1.947 -0.7659000
## 3641   7.287                              -2.276 -2.354 2.651                 
## 2075   8.787        -1.014e+00            -1.898 -2.096                       
## 42     4.412 0.7335                       -2.179        2.494                 
## 2074   7.869 0.8675                       -1.849 -2.247                       
## 2122   5.966 0.4128                       -2.051              2.279           
## 2249   6.277                              -2.031              2.310 -0.4624000
## 2131   6.942        -7.095e-01                   -1.938       1.891           
## 233    4.533                              -2.260        2.046 1.823 -0.6406000
## 2585   7.663                              -1.859 -2.068                       
## 3113   6.301                              -2.226        2.422                 
## 50     4.415 0.9281                              -2.081 2.399                 
## 106    3.925 0.5010                       -2.315        2.264 1.731           
## 561    4.482                                     -1.910 2.137                 
## 2133   6.110                    0.5465000        -1.912       2.014           
## 2377   6.045                              -2.063              2.313           
## 177    5.517                                     -2.063 2.065       -0.9694000
## 2809   6.462                              -2.379 -2.220 2.462 1.869 -0.1039000
## 2937   6.382                              -2.389 -2.217 2.477 1.869           
## 2685   6.353                    0.0900700 -2.380 -2.205 2.469 1.878           
## 77     4.543                    0.9843000 -1.959              2.108           
## 3133   7.878                   -0.2734000 -2.323 -2.448 2.734                 
## 3097   8.708                              -1.912 -2.159                       
## 45     4.593                    0.5351000 -2.119        2.303                 
## 2553   6.519                              -2.385 -2.237 2.468 1.913 -0.1177000
## 2111   7.747        -8.468e-01 -0.1181000 -2.280 -2.372 2.673                 
## 2301   6.502                    0.0832900 -2.379 -2.226 2.464 1.923 -0.1066000
## 2429   6.420                    0.0795200 -2.388 -2.224 2.480 1.922           
## 2641   6.292                                     -1.939       1.858           
## 1129   4.387                              -2.339        2.152 1.819           
## 2363   7.645        -8.437e-01            -2.267 -2.359 2.657                 
## 2235   7.661        -8.539e-01            -2.270 -2.358 2.664        0.0255800
## 169    5.146                              -2.123        2.258       -0.5461000
## 3257   7.717                              -2.279 -2.420 2.677       -0.1364000
## 2066   6.995 0.9011                              -2.232                       
## 3385   7.656                              -2.291 -2.416 2.702                 
## 201    5.560                              -1.968              2.015 -1.0070000
## 217    6.602                              -1.956 -1.729       1.829 -1.1880000
## 3122   6.092 1.4510                              -2.544 2.636                 
## 107    4.286        -1.407e-01            -2.319        2.154 1.779           
## 361    4.242                              -2.317        2.164 1.799           
## 43     5.073        -4.165e-01            -2.183        2.328                 
## 2385   6.417                                     -1.973       1.951           
## 2577   6.789                                     -2.048                       
## 2100   6.095 1.3750 -7.479e-01                   -2.484 2.587                 
## 2621   6.863                   -0.1282000 -2.247 -2.356 2.663                 
## 2873   6.745                              -2.233 -2.342 2.645                 
## 2745   6.809                              -2.226 -2.344 2.635       -0.0758400
## 2067   7.856        -9.327e-01                   -2.082                       
## 2201   8.402                              -1.823 -2.183             -0.6388000
## 2610   5.300 1.3560                              -2.461 2.574                 
## 1065   4.980                              -2.186        2.349                 
## 297    4.870                              -2.173        2.354                 
## 2093   5.705                    0.1643000 -2.166        2.410                 
## 2345   5.745                              -2.182        2.421                 
## 2217   5.811                              -2.181        2.424       -0.0157700
## 585    4.799                              -2.011              1.812           
## 153    7.439                              -1.787 -1.920             -1.1510000
## 53     4.652                    0.5931000        -1.949 2.161                 
## 145    6.681                                     -1.914             -1.2920000
## 537    6.301                              -1.855 -1.734                       
## 521    5.336                              -1.836                              
## 3137   5.783                                                  2.207           
## 2193   7.610                                     -2.173             -0.7925000
## 3178   5.458 0.9171                       -2.427        2.388 2.142           
## 2117   4.748                    0.7752000                     2.199           
## 2329   8.075                              -1.866 -2.153                       
## 2226   5.815 1.3950                              -2.546 2.569       -0.4073000
## 3089   7.733                                     -2.139                       
## 2115   5.796        -8.370e-01                                2.044           
## 545    3.534                                            1.924                 
## 2077   8.080                    0.1473000 -1.852 -2.138                       
## 513    4.485                                                                  
## 2146   3.971 0.8393                                     2.033 1.851           
## 2354   5.521 1.4070                              -2.534 2.628                 
## 570    4.846 0.9262                       -2.219 -2.058 2.691                 
## 69     3.641                    1.1320000                     1.948           
## 3186   5.692 1.2550                              -2.362 2.385 1.668           
## 2102   5.489 1.4050             0.2212000        -2.509 2.617                 
## 93     5.492                    0.8508000 -1.969 -1.561       1.920           
## 2365   7.185                   -0.1573000 -2.262 -2.428 2.718                 
## 529    5.431                                     -1.714                       
## 2237   7.301                   -0.1473000 -2.249 -2.431 2.700       -0.1336000
## 2489   7.136                              -2.235 -2.414 2.679       -0.1182000
## 3169   4.890                                            1.833 2.023           
## 3196   6.947 1.2670 -4.505e-01            -2.478 -2.384 2.744 1.832           
## 51     4.987        -9.303e-02                   -1.982 2.205                 
## 305    4.970                                     -1.993 2.215                 
## 1073   4.951                                     -1.991 2.212                 
## 193    4.806                                                  1.839 -1.1550000
## 2241   5.473                                                  2.118 -0.6361000
## 2625   4.982                                                  1.981           
## 209    5.860                                     -1.741       1.653 -1.3370000
## 186    5.689 0.9998                       -2.163 -2.199 2.643       -0.8119000
## 2069   7.101                    0.3181000        -2.102                       
## 2082   4.433 1.0450                                     2.284                 
## 3162   7.844 0.7404                       -2.124 -2.062       2.190           
## 1097   5.325                              -2.059              2.013           
## 2321   7.210                                     -2.135                       
## 2114   5.072 0.4692                                           2.082           
## 2147   4.880        -7.476e-01                          1.824 1.874           
## 3132   7.443 1.4730 -6.831e-01            -2.329 -2.564 2.980                 
## 3322   6.771 1.2780                       -2.459 -2.415 2.736 1.876 -0.1692000
## 601    5.728                              -2.014 -1.588       1.661           
## 75     5.257        -2.441e-01            -2.038              1.957           
## 3450   6.688 1.2770                       -2.474 -2.409 2.765 1.875           
## 3706   6.689 1.2750                       -2.473 -2.407 2.764 1.871           
## 3198   6.700 1.2760             0.0004669 -2.474 -2.409 2.766 1.876           
## 2149   4.009                    0.6145000               1.796 2.007           
## 74     5.072 0.1125                       -2.029              1.976           
## 329    5.118                              -2.033              1.988           
## 2593   4.495                                            2.005                 
## 129    5.612                                                        -1.0840000
## 3642   6.782 1.4630                       -2.304 -2.553 2.972                 
## 3179   6.226        -6.411e-01            -2.428        2.172 2.166           
## 2369   5.170                                                  2.119           
## 2156   5.347 0.8410 -8.086e-01            -2.370        2.358 1.965           
## 2657   4.160                                            1.831 1.822           
## 241    4.916                                     -1.898 1.863 1.438 -1.0400000
## 137    6.364                              -1.781                    -0.9434000
## 3289   8.268                              -2.099 -2.007       2.248 -0.6153000
## 2620   6.707 1.3700 -8.540e-01            -2.272 -2.469 2.898                 
## 2569   6.286                              -1.836                              
## 62     4.969 1.0100             0.4949000 -2.186 -2.105 2.729                 
## 3163   8.364        -6.026e-01            -2.148 -1.947       2.194           
## 29     6.537                    0.5943000 -1.811 -1.782                       
## 2083   5.597        -9.674e-01                          2.025                 
## 2164   5.530 1.1850 -5.830e-01                   -2.325 2.366 1.536           
## 697    5.751                              -2.150 -2.018 2.394       -0.6630000
## 37     3.702                    0.7420000               1.946                 
## 577    3.935                                                  1.615           
## 2059   7.612        -1.172e+00            -1.882                              
## 21     5.610                    0.7525000        -1.754                       
## 34     3.604 0.7166                                     2.141                 
## 161    4.477                                            1.880       -0.7760000
## 5      4.660                    0.8735000                                     
## 2273   4.509                                            1.805 1.944 -0.3001000
## 26     6.644 0.4874                       -1.854 -1.860                       
## 2561   5.435                                                                  
## 3134   7.229 1.4820            -0.1763000 -2.338 -2.628 3.040                 
## 1113   6.190                              -2.054 -1.616       1.831           
## 3258   7.154 1.4960                       -2.303 -2.615 2.992       -0.1682000
## 2166   4.868 1.2150             0.4109000        -2.310 2.355 1.630           
## 101    2.896                    0.9908000               1.716 1.757           
## 85     4.578                    1.0000000        -1.549       1.761           
## 3386   7.023 1.4990                       -2.317 -2.610 3.019                 
## 2401   4.333                                            1.851 1.939           
## 90     5.920 0.2698                       -2.025 -1.654       1.776           
## 13     5.557                    0.7198000 -1.781                              
## 3689   5.705                              -2.409        2.181 2.161           
## 2290   5.340 1.1950                              -2.371 2.328 1.587 -0.4178000
## 117    3.859                    0.8233000        -1.752 1.940 1.520           
## 3181   5.680                    0.2400000 -2.397        2.169 2.253           
## 1082   5.356 0.9573                       -2.246 -2.131 2.765                 
## 91     6.068        -7.012e-02            -2.034 -1.623       1.801           
## 345    6.033                              -2.033 -1.629       1.809           
## 2674   5.029 1.1820                              -2.332 2.378 1.524           
## 3433   5.896                              -2.423        2.199 2.235           
## 2158   4.487 0.8776             0.4662000 -2.311        2.346 2.080           
## 3305   5.880                              -2.418        2.187 2.233 -0.0501600
## 60     5.307 0.9460 -8.184e-02            -2.237 -2.127 2.761                 
## 314    5.265 0.9511                       -2.235 -2.136 2.768                 
## 3165   7.860                    0.2170000 -2.121 -1.952       2.275           
## 3673   7.918                              -2.132 -1.959       2.204           
## 27     7.027        -3.398e-01            -1.874 -1.789                       
## 2418   5.061 1.2050                              -2.359 2.391 1.579           
## 573    5.168                    0.3604000 -2.172 -1.939 2.464                 
## 3417   8.033                              -2.140 -1.976       2.256           
## 2666   4.623 0.8353                       -2.339        2.368 1.941           
## 114    3.948 0.7367                              -1.910 2.190 1.290           
## 1049   6.978                              -1.875 -1.815                       
## 18     5.766 0.5204                              -1.844                       
## 2051   6.697        -1.090e+00                                                
## 281    6.848                              -1.863 -1.821                       
## 2364   6.933 1.4160 -7.991e-01            -2.283 -2.544 2.959                 
## 571    5.454        -2.273e-01            -2.213 -1.941 2.483                 
## 2140   7.658 0.6619 -7.796e-01            -2.068 -2.016       2.015           
## 2112   7.027 1.4020 -8.203e-01 -0.0073290 -2.285 -2.542 2.963                 
## 2236   7.024 1.4030 -8.194e-01            -2.283 -2.541 2.961       -0.0065370
## 825    5.413                              -2.209 -1.967 2.506                 
## 11     6.217        -5.592e-01            -1.863                              
## 1593   5.400                              -2.213 -1.964 2.499                 
## 3105   5.364                                            2.067                 
## 2410   4.721 0.8535                       -2.354        2.386 2.033           
## 625    4.055                                     -1.784 1.992 1.262           
## 35     4.220        -3.516e-01                          1.982                 
## 2667   5.571        -8.407e-01            -2.353        2.154 1.942           
## 225    3.878                                            1.665 1.662 -0.8757000
## 2282   4.817 0.8399                       -2.351        2.384 2.037 -0.0347300
## 2611   6.347        -8.166e-01                   -2.225 2.227                 
## 2159   5.506        -8.080e-01  0.3950000 -2.333        2.136 2.096           
## 19     6.124        -2.657e-01                   -1.777                       
## 2266   7.380 0.6910                       -2.005 -2.089       2.069 -0.6353000
## 609    3.114                                            1.774 1.452           
## 10     5.771 0.3360                       -1.837                              
## 1057   4.091                                            2.002                 
## 289    4.052                                            2.005                 
## 2092   5.925 1.0560 -1.032e+00            -2.219        2.588                 
## 3081   7.382                              -1.888                              
## 2085   4.757                    0.3882000               2.043                 
## 1041   6.049                                     -1.801                       
## 273    5.987                                     -1.802                       
## 1033   6.085                              -1.860                              
## 2874   6.114 1.4030                       -2.252 -2.531 2.949                 
## 3      5.325        -4.842e-01                                                
## 593    4.861                                     -1.585       1.464           
## 1089   4.396                                                  1.816           
## 2746   6.242 1.3880                       -2.242 -2.531 2.934       -0.1067000
## 265    5.904                              -1.844                              
## 2622   6.210 1.3850            -0.0190000 -2.254 -2.529 2.955                 
## 66     4.196 0.1714                                           1.783           
## 67     4.377        -1.916e-01                                1.777           
## 2      4.909 0.3699                                                           
## 2602   4.817 1.0320                       -2.176        2.565                 
## 2209   5.096                                            2.030       -0.2743000
## 2267   7.985        -6.933e-01            -2.052 -1.967       2.080 -0.4748000
## 189    6.042                    0.2743000 -2.136 -2.073 2.432       -0.6907000
## 321    4.270                                                  1.802           
## 2283   5.727        -8.250e-01            -2.380        2.201 2.054  0.1114000
## 2142   6.824 0.6978             0.4418000 -2.013 -2.009       2.123           
## 2411   5.746        -8.036e-01            -2.370        2.180 2.056           
## 2058   6.611 0.6168                       -1.831                              
## 2684   6.347 1.1860 -6.572e-01            -2.403 -2.346 2.720 1.667           
## 2651   7.682        -8.073e-01            -2.075 -1.905       1.983           
## 2337   4.918                                            2.070                 
## 1209   6.334                              -2.169 -2.092 2.444       -0.7588000
## 2143   7.586        -7.790e-01  0.3817000 -2.056 -1.897       2.119           
## 2176   6.311 1.2030 -6.422e-01  0.1791000 -2.394 -2.345 2.716 1.735           
## 2428   6.367 1.2020 -6.220e-01            -2.411 -2.368 2.733 1.715           
## 187    6.253        -9.198e-02            -2.162 -2.087 2.446       -0.7311000
## 441    6.231                              -2.159 -2.098 2.454       -0.7375000
## 2300   6.452 1.1920 -6.346e-01            -2.408 -2.367 2.730 1.717 -0.0331700
## 1025   5.169                                                                  
## 257    5.061                                                                  
## 554    3.931 0.7126                       -2.161        2.411                 
## 2650   6.992 0.6560                       -2.039 -2.026       2.002           
## 3633   6.256                                     -2.288 2.275                 
## 250    5.218 0.7831                       -2.271 -2.008 2.413 1.487 -0.8575000
## 3114   5.781 1.1340                       -2.242        2.648                 
## 2050   5.755 0.6517                                                           
## 3123   7.012        -6.896e-01                   -2.314 2.290                 
## 2603   6.018        -1.085e+00            -2.195        2.299                 
## 3147   7.201        -7.343e-01            -2.145              2.345           
## 2394   7.045 0.6823                       -2.049 -2.057       2.076           
## 98     3.122 0.5070                                     1.915 1.553           
## 1137   4.372                                     -1.822 2.023 1.404           
## 115    4.265         1.096e-01                   -1.836 2.033 1.410           
## 369    4.363                                     -1.828 2.031 1.399           
## 2395   7.808        -7.604e-01            -2.086 -1.940       2.080           
## 3073   6.431                                                                  
## 2185   7.032                              -1.809                    -0.5004000
## 2177   6.253                                                        -0.6537000
## 2669   4.789                    0.3813000 -2.304        2.148 2.069           
## 2053   5.691                    0.5485000                                     
## 2061   6.624                    0.3855000 -1.809                              
## 2490   6.454 1.4380                       -2.250 -2.600 2.978       -0.1467000
## 126    4.330 0.8043             0.6960000 -2.283 -1.889 2.481 1.554           
## 2366   6.433 1.4320            -0.0578200 -2.269 -2.601 3.009                 
## 2737   6.033                                     -2.292 2.225       -0.3355000
## 2269   7.338                    0.3150000 -2.005 -1.969       2.171 -0.5491000
## 2777   7.419                              -2.019 -1.980       2.065 -0.5691000
## 3146   6.622 0.4912                       -2.125              2.385           
## 2227   6.826        -7.347e-01                   -2.317 2.252       -0.2606000
## 2238   6.597 1.4160            -0.0363100 -2.254 -2.601 2.989       -0.1473000
## 82     5.048 0.3290                              -1.659       1.583           
## 3187   6.389        -4.550e-01                   -2.163 2.081 1.764           
## 2313   6.768                              -1.844                              
## 2521   7.500                              -2.027 -2.007       2.135 -0.5932000
## 557    4.111                    0.5107000 -2.104        2.226                 
## 2103   6.658        -7.805e-01  0.1263000        -2.291 2.280                 
## 3149   6.428                    0.4588000 -2.094              2.458           
## 3313   6.339                                     -2.201 2.031 1.815 -0.4230000
## 2613   5.801                    0.1145000        -2.266 2.268                 
## 3273   6.952                              -2.103              2.419 -0.4853000
## 2355   6.707        -7.695e-01                   -2.306 2.290                 
## 2865   5.844                                     -2.280 2.276                 
## 63     5.685        -1.881e-01  0.3884000 -2.190 -1.996 2.522                 
## 1121   3.504                                            1.803 1.631           
## 3249   6.847                                     -2.370 2.263       -0.3997000
## 317    5.649                    0.3865000 -2.186 -2.017 2.541                 
## 1085   5.665                    0.3634000 -2.194 -2.014 2.535                 
## 2938   5.866 1.2070                       -2.393 -2.389 2.751 1.730           
## 2921   4.999                              -2.339        2.188 2.029           
## 2430   5.836 1.2190             0.1468000 -2.385 -2.386 2.745 1.780           
## 2793   5.027                              -2.339        2.191 2.028  0.0011060
## 99     3.462        -9.881e-02                          1.805 1.607           
## 2554   5.992 1.2140                       -2.386 -2.407 2.736 1.764 -0.1418000
## 1105   5.266                                     -1.622       1.634           
## 2686   5.822 1.2020             0.1698000 -2.377 -2.366 2.736 1.749           
## 353    3.437                                            1.812 1.622           
## 555    4.599        -4.935e-01            -2.167        2.241                 
## 3657   6.572                              -2.120              2.323           
## 2413   4.946                    0.3853000 -2.318        2.168 2.165           
## 178    4.994 0.9917                              -2.164 2.253       -1.0420000
## 2285   4.955                    0.3947000 -2.319        2.173 2.167  0.0200800
## 2810   6.000 1.1930                       -2.382 -2.390 2.733 1.732 -0.1283000
## 2302   5.958 1.2070             0.1615000 -2.373 -2.386 2.727 1.786 -0.1202000
## 83     5.192        -1.720e-02                   -1.628       1.621           
## 337    5.185                                     -1.629       1.623           
## 2653   6.929                    0.3699000 -2.028 -1.908       2.105           
## 681    4.616                              -2.113        2.195       -0.4603000
## 3154   6.823 0.7866                              -2.063       1.970           
## 634    4.539 0.7358                       -2.326 -1.908 2.515 1.346           
## 3189   5.979                    0.2125000        -2.161 2.079 1.832           
## 2305   5.925                                                                  
## 3697   6.033                                     -2.171 2.091 1.764           
## 253    5.234                    0.5127000 -2.237 -1.863 2.203 1.669 -0.7179000
## 3441   6.159                                     -2.187 2.103 1.811           
## 3377   6.642                                     -2.357 2.328                 
## 3125   6.655                    0.0101500        -2.356 2.329                 
## 1083   5.925        -1.256e-01            -2.235 -2.028 2.563                 
## 2587   8.266        -1.057e+00            -1.893 -2.005                       
## 1337   5.931                              -2.235 -2.041 2.576                 
## 761    5.349                              -2.263 -1.880 2.228 1.493 -0.7551000
## 315    5.919        -1.646e-01            -2.229 -2.029 2.567                 
## 2127   6.306        -9.033e-01  0.6102000 -2.037              2.289           
## 562    3.981 0.9021                              -1.999 2.321                 
## 2397   7.051                    0.3555000 -2.040 -1.938       2.181           
## 2905   7.134                              -2.058 -1.951       2.067           
## 2076   8.469 0.8618 -1.008e+00            -1.883 -2.190                       
## 3401   6.783                              -2.135              2.424           
## 3281   7.339                                     -2.011       2.033 -0.7905000
## 2537   5.179                              -2.351        2.204 2.126 -0.0252000
## 2635   6.477        -9.453e-01            -2.069              2.089           
## 1577   4.440                              -2.163        2.271                 
## 809    4.407                              -2.155        2.278                 
## 1273   5.767                              -2.294 -1.904 2.233 1.623 -0.8381000
## 637    4.574                    0.5900000 -2.274 -1.773 2.284 1.544           
## 621    3.540                    0.7569000 -2.227        2.045 1.754           
## 2586   7.374 0.8398                       -1.844 -2.161                       
## 3098   8.424 0.9392                       -1.900 -2.261                       
## 689    5.043                                     -1.981 2.007       -0.8904000
## 1146   4.912 0.7418                       -2.363 -1.934 2.542 1.483           
## 2094   5.076 1.0890             0.2667000 -2.165        2.618                 
## 2258   6.569 0.7548                              -2.100       1.873 -0.8108000
## 3625   5.800                              -2.206        2.356                 
## 2124   6.560 0.4209 -9.093e-01            -2.073              2.195           
## 2481   6.373                                     -2.366 2.270       -0.3811000
## 2346   5.146 1.0810                       -2.191        2.633                 
## 3115   6.818        -9.407e-01            -2.243        2.377                 
## 110    3.404 0.5949             0.8575000 -2.238        2.191 1.831           
## 2229   6.385                    0.0707800        -2.358 2.271       -0.3703000
## 2167   5.794        -5.972e-01  0.3383000        -2.117 2.057 1.719           
## 2675   5.872        -6.196e-01                   -2.128 2.074 1.599           
## 251    5.518         1.444e-01            -2.273 -1.929 2.255 1.616 -0.8178000
## 124    4.717 0.7400  1.120e-01            -2.344 -1.955 2.556 1.477           
## 505    5.620                              -2.277 -1.916 2.253 1.601 -0.8022000
## 2218   5.264 1.0650                       -2.189        2.635       -0.0300500
## 378    4.804 0.7314                       -2.346 -1.945 2.550 1.467           
## 2291   6.124        -5.416e-01                   -2.171 2.047 1.685 -0.3072000
## 46     4.045 0.8134             0.6378000 -2.116        2.450                 
## 657    6.105                                     -1.826             -1.1920000
## 54     4.014 1.0140             0.7139000        -2.038 2.355                 
## 2251   6.790        -8.490e-01            -2.062              2.234 -0.3216000
## 205    4.989                    0.8555000 -1.913              2.115 -0.8567000
## 2357   6.154                    0.0912300        -2.343 2.325                 
## 2578   6.496 0.8729                              -2.145                       
## 3155   7.323        -5.640e-01                   -1.944       1.980           
## 2132   6.716 0.7188 -7.131e-01                   -2.021       1.821           
## 3707   7.357        -4.917e-01            -2.462 -2.195 2.447 1.943           
## 3451   7.479        -4.902e-01            -2.469 -2.205 2.459 1.974           
## 2419   5.994        -5.855e-01                   -2.159 2.094 1.678           
## 2068   7.533 0.8964 -9.268e-01                   -2.179                       
## 3323   7.436        -4.687e-01            -2.462 -2.208 2.444 1.973 -0.0625200
## 3199   7.457        -4.774e-01 -0.0516600 -2.473 -2.212 2.462 1.967           
## 237    4.080                    0.7210000 -2.206        1.988 1.913 -0.5245000
## 2579   7.330        -9.766e-01                   -1.989                       
## 2134   5.817 0.7679             0.6143000        -1.993       1.946           
## 2379   6.672        -8.910e-01            -2.085              2.233           
## 665    6.863                              -1.786 -1.832             -1.0510000
## 170    4.704 0.7646                       -2.125        2.397       -0.5948000
## 3157   6.683                    0.4234000        -1.925       2.078           
## 1149   4.895                    0.5959000 -2.305 -1.798 2.309 1.670           
## 381    4.857                    0.6375000 -2.289 -1.806 2.319 1.667           
## 589    4.265                    0.9418000 -1.942              1.939           
## 2293   5.603                    0.2941000        -2.166 2.032 1.766 -0.3580000
## 2637   5.485                    0.5944000 -2.001              2.248           
## 2801   5.675                                     -2.178 2.046 1.669 -0.3765000
## 2126   5.486 0.4780             0.6612000 -1.998              2.333           
## 2194   7.294 0.9402                              -2.277             -0.8471000
## 2677   5.282                    0.3252000        -2.125 2.071 1.702           
## 127    4.771         2.727e-02  0.6138000 -2.290 -1.808 2.315 1.662           
## 3099   9.154        -9.048e-01            -1.933 -2.108                       
## 2202   8.091 0.9004                       -1.803 -2.283             -0.6927000
## 745    4.250                              -2.243        2.023 1.680 -0.5795000
## 3609   8.169                              -1.901 -2.080                       
## 641    4.987                                                        -0.9769000
## 1657   5.024                              -2.340 -1.817 2.348 1.472           
## 618    3.649 0.5077                       -2.291        2.229 1.577           
## 3665   6.850                                     -1.947       1.964           
## 565    4.203                    0.5769000        -1.869 2.088                 
## 2545   5.769                                     -2.203 2.054 1.730 -0.3966000
## 889    4.974                              -2.327 -1.826 2.359 1.455           
## 2259   7.120        -5.936e-01                   -1.976       1.894 -0.6671000
## 1133   3.928                    0.7649000 -2.265        2.071 1.914           
## 2095   6.374        -1.045e+00  0.1767000 -2.192        2.358                 
## 2421   5.398                    0.3216000        -2.151 2.085 1.766           
## 635    4.908         6.467e-03            -2.326 -1.825 2.353 1.454           
## 2219   6.436        -1.068e+00            -2.225        2.404        0.1590000
## 3090   7.448 0.9630                              -2.244                       
## 3325   7.291                   -0.0848100 -2.459 -2.246 2.459 2.012 -0.1528000
## 3577   7.253                              -2.452 -2.235 2.453 2.022 -0.1420000
## 3833   7.181                              -2.449 -2.230 2.447 2.006 -0.1386000
## 2929   5.465                                     -2.165 2.104 1.662           
## 2253   5.863                    0.5697000 -1.992              2.363 -0.3886000
## 2347   6.466        -1.039e+00            -2.210        2.375                 
## 713    5.238                              -1.953              1.855 -0.9352000
## 2605   5.236                    0.1613000 -2.150        2.339                 
## 365    3.846                    0.8135000 -2.245        2.081 1.908           
## 111    3.875        -1.887e-01  0.8013000 -2.248        2.065 1.878           
## 3961   7.154                              -2.462 -2.225 2.475 2.005           
## 3709   7.174                   -0.0688100 -2.468 -2.234 2.481 1.997           
## 3453   7.240                   -0.0620900 -2.471 -2.239 2.486 2.016           
## 517    4.077                    0.8383000                                     
## 44     4.614 0.7144 -3.723e-01            -2.188        2.468                 
## 2135   6.546        -7.139e-01  0.5511000        -1.876       1.950           
## 3409   7.004                                     -1.972       2.038           
## 2857   5.311                              -2.166        2.353                 
## 2729   5.318                              -2.170        2.363        0.0381000
## 2261   6.432                    0.4625000        -1.956       1.997 -0.6998000
## 2642   6.071 0.7116                              -2.022       1.791           
## 234    4.248 0.5328                       -2.256        2.150 1.754 -0.6710000
## 2634   5.717 0.4126                       -2.036              2.152           
## 3643   7.660        -7.848e-01            -2.287 -2.300 2.603                 
## 649    5.739                              -1.780                    -0.8361000
## 1066   4.542 0.7431                       -2.193        2.492                 
## 2761   6.029                              -2.019              2.189 -0.4281000
## 197    4.175                    0.9810000                     1.960 -0.9789000
## 2203   8.899        -9.299e-01            -1.864 -2.124             -0.4794000
## 2713   7.880                              -1.821 -2.099             -0.5742000
## 2769   6.593                                     -1.979       1.861 -0.7380000
## 2381   5.675                    0.5956000 -2.016              2.368           
## 2643   6.726        -7.452e-01                   -1.899       1.780           
## 2705   7.086                                     -2.088             -0.7275000
## 2250   6.110 0.4337                       -2.017              2.271 -0.4860000
## 2386   6.154 0.7387                              -2.059       1.878           
## 181    5.241                    0.4583000        -2.023 2.038       -0.8848000
## 1641   4.094                              -2.312        2.119 1.669           
## 298    4.399 0.7350                       -2.179        2.493                 
## 1257   4.765                              -2.282        2.028 1.851 -0.6826000
## 619    4.050        -2.166e-01            -2.295        2.113 1.613           
## 525    4.974                    0.6852000 -1.777                              
## 221    6.107                    0.6825000 -1.913 -1.664       1.916 -1.0610000
## 3225   8.940                              -1.869 -2.191             -0.6577000
## 873    3.992                              -2.293        2.130 1.647           
## 2513   6.703                                     -2.011       1.943 -0.7668000
## 2889   5.821                              -2.048              2.189           
## 2330   7.712 0.8945                       -1.851 -2.250                       
## 1401   5.367                              -2.365 -1.851 2.385 1.596           
## 47     4.814        -4.612e-01  0.5656000 -2.128        2.272                 
## 173    4.870                    0.4704000 -2.083        2.227       -0.4673000
## 1147   5.220         1.423e-01            -2.363 -1.862 2.386 1.608           
## 146    6.414 0.6354                              -1.970             -1.3570000
## 1074   4.437 0.9297                              -2.080 2.398                 
## 2079   8.673        -1.017e+00  0.1611000 -1.884 -2.080                       
## 52     4.427 0.9267 -2.299e-02                   -2.078 2.397                 
## 306    4.413 0.9284                              -2.081 2.399                 
## 1225   5.825                              -1.997              2.046 -1.0530000
## 563    4.554        -1.708e-01                   -1.891 2.123                 
## 2331   8.714        -9.958e-01            -1.898 -2.098                       
## 2078   7.690 0.8902             0.2369000 -1.828 -2.225                       
## 817    4.538                                     -1.911 2.142                 
## 2378   5.853 0.4325                       -2.051              2.273           
## 2195   8.032        -8.193e-01                   -2.120             -0.6551000
## 3601   7.181                                     -2.057                       
## 1585   4.452                                     -1.911 2.138                 
## 2645   5.912                    0.5358000        -1.881       1.919           
## 2505   6.189                              -2.032              2.307 -0.4632000
## 581    3.354                    1.0850000                     1.769           
## 549    3.212                    0.7154000               1.870                 
## 1130   4.107 0.5119                       -2.338        2.257 1.752           
## 1101   4.709                    0.9545000 -1.981              2.123           
## 379    5.164         5.730e-02            -2.346 -1.868 2.394 1.581           
## 2070   6.703 0.9397             0.4103000        -2.194                       
## 523    5.628        -6.410e-01            -1.857                              
## 79     4.695        -2.987e-01  0.9979000 -1.964              2.071           
## 2387   6.876        -6.931e-01                   -1.939       1.890           
## 171    5.324        -3.785e-01            -2.135        2.240       -0.5180000
## 546    3.114 0.6951                                     2.059                 
## 78     4.412 0.2385             1.0150000 -1.949              2.085           
## 729    6.315                              -1.944 -1.689       1.703 -1.1250000
## 1201   5.572                                     -2.060 2.060       -0.9794000
## 149    6.325                    0.5601000        -1.869             -1.1830000
## 235    4.579        -8.916e-02            -2.262        2.043 1.812 -0.6334000
## 2119   5.289        -8.375e-01  0.7756000                     2.120           
## 489    4.557                              -2.261        2.048 1.825 -0.6386000
## 433    5.527                                     -2.063 2.066       -0.9686000
## 179    5.523        -1.445e-02                   -2.061 2.064       -0.9682000
## 2571   7.027        -1.217e+00            -1.876                              
## 2841   7.596                              -1.860 -2.070                       
## 2589   7.557                    0.1479000 -1.846 -2.053                       
## 333    4.590                    0.9986000 -1.957              2.114           
## 1193   5.306                              -2.136        2.248       -0.5731000
## 2322   6.842 0.9275                              -2.235                       
## 3141   5.285                    0.6593000                     2.261           
## 2594   3.985 1.0110                                     2.208                 
## 1069   4.691                    0.5174000 -2.131        2.301                 
## 3091   8.138        -8.430e-01                   -2.091                       
## 533    5.051                    0.7275000        -1.669                       
## 3117   6.270                    0.0413800 -2.221        2.418                 
## 3241   6.315                              -2.223        2.416       -0.0348400
## 3369   6.292                              -2.226        2.421                 
## 2623   7.372        -8.837e-01 -0.1104000 -2.266 -2.296 2.608                 
## 3217   8.046                                     -2.179             -0.8118000
## 3170   4.491 0.9035                                     2.022 1.933           
## 2747   7.273        -8.994e-01            -2.262 -2.279 2.608        0.0767200
## 301    4.630                    0.5453000 -2.119        2.306                 
## 2875   7.307        -8.889e-01            -2.255 -2.283 2.596                 
## 154    7.184 0.5916                       -1.772 -1.972             -1.2130000
## 673    3.940                                            1.818       -0.6875000
## 3139   6.164        -6.956e-01                                2.131           
## 108    3.994 0.4968 -1.197e-01            -2.317        2.257 1.716           
## 2389   6.069                    0.5288000        -1.914       2.009           
## 515    4.735        -5.666e-01                                                
## 3265   6.019                                                  2.205 -0.6606000
## 2612   5.761 1.3410 -7.844e-01                   -2.407 2.520                 
## 3135   8.224        -7.248e-01 -0.2397000 -2.331 -2.399 2.690                 
## 362    3.946 0.4984                       -2.315        2.265 1.732           
## 425    5.147                              -2.123        2.258       -0.5460000
## 541    5.980                    0.5700000 -1.806 -1.697                       
## 202    5.477 0.1907                       -1.961              1.993 -1.0240000
## 2581   6.573                    0.3181000        -2.015                       
## 203    5.638        -1.550e-01            -1.972              1.994 -0.9931000
## 705    4.470                                                  1.671 -1.0790000
## 1241   6.825                              -1.982 -1.715       1.857 -1.2270000
## 457    5.541                              -1.968              2.013 -1.0080000
## 2084   5.048 1.0370 -9.566e-01                          2.231                 
## 3124   6.422 1.4320 -6.354e-01                   -2.502 2.596                 
## 3387   8.073        -7.441e-01            -2.304 -2.370 2.664                 
## 3138   5.600 0.5374                                           2.165           
## 3259   8.043        -7.365e-01            -2.302 -2.371 2.659       -0.0109500
## 2071   7.633        -9.396e-01  0.3336000        -2.048                       
## 218    6.462 0.3742                       -1.942 -1.766       1.783 -1.2260000
## 3634   5.755 1.4170                              -2.480 2.582                 
## 213    5.293                    0.8079000        -1.664       1.761 -1.1840000
## 1067   5.133        -3.828e-01            -2.191        2.327                 
## 2833   6.726                                     -2.049                       
## 522    5.166 0.3271                       -1.830                              
## 2627   5.528        -8.829e-01                                1.885           
## 299    5.115        -4.275e-01            -2.184        2.331                 
## 3645   7.496                   -0.2562000 -2.306 -2.384 2.681                 
## 538    6.077 0.4725                       -1.847 -1.772                       
## 3353   8.639                              -1.911 -2.159                       
## 2897   6.227                                     -1.940       1.858           
## 514    4.301 0.3608                                                           
## 2563   6.109        -1.136e+00                                                
## 1385   4.470                              -2.341        2.158 1.825           
## 3101   8.694                    0.0159800 -1.910 -2.157                       
## 3649   5.518                                                  2.085           
## 2118   4.497 0.5493             0.8306000                     2.156           
## 1131   4.412        -5.737e-02            -2.339        2.149 1.811           
## 2629   4.502                    0.7549000                     2.062           
## 157    7.155                    0.4250000 -1.755 -1.885             -1.0710000
## 2595   5.123        -1.012e+00                          1.948                 
## 1169   6.779                                     -1.910             -1.3090000
## 2323   7.783        -9.143e-01                   -2.083                       
## 3769   7.332                              -2.267 -2.357 2.633       -0.0987500
## 147    6.736        -1.473e-01                   -1.899             -1.2780000
## 3897   7.304                              -2.276 -2.354 2.652                 
## 1545   5.428                              -1.846                              
## 401    6.640                                     -1.914             -1.2940000
## 539    6.470        -4.229e-01            -1.869 -1.691                       
## 777    5.343                              -1.836                              
## 530    5.196 0.5052                              -1.755                       
## 1321   5.018                              -2.187        2.352                 
## 547    3.739        -4.315e-01                          1.895                 
## 2245   4.972                    0.7145000                     2.189 -0.5393000
## 2687   6.757        -6.699e-01  0.0959700 -2.390 -2.165 2.434 1.813           
## 133    5.184                    0.7253000                           -0.9503000
## 2150   3.525 0.8955             0.6887000               1.977 1.919           
## 1609   4.975                              -2.033              1.839           
## 2939   6.816        -6.666e-01            -2.399 -2.177 2.446 1.803           
## 219    6.581         4.865e-02            -1.955 -1.733       1.835 -1.1920000
## 2811   6.820        -6.708e-01            -2.400 -2.176 2.448 1.802  0.0108900
## 473    6.589                              -1.956 -1.729       1.828 -1.1880000
## 587    4.964        -3.293e-01            -2.017              1.762           
## 3250   6.289 1.4590                              -2.559 2.566       -0.4333000
## 1537   4.508                                                                  
## 769    4.497                                                                  
## 363    4.337        -1.541e-01            -2.319        2.157 1.780           
## 2148   4.469 0.8406 -7.494e-01                          2.001 1.783           
## 1177   7.599                              -1.802 -1.913             -1.1770000
## 2116   5.613 0.4773 -8.430e-01                                2.002           
## 2243   5.915        -7.496e-01                                2.049 -0.5141000
## 2431   6.854        -6.474e-01  0.0962800 -2.399 -2.187 2.450 1.871           
## 2303   6.862        -6.513e-01  0.1003000 -2.399 -2.186 2.451 1.871  0.0037130
## 2457   8.290                              -1.824 -2.184             -0.6396000
## 155    7.529        -2.322e-01            -1.796 -1.896             -1.1290000
## 2555   6.917        -6.426e-01            -2.407 -2.200 2.460 1.860 -0.0099150
## 2449   7.502                                     -2.173             -0.7934000
## 2197   7.442                    0.2289000        -2.148             -0.7601000
## 586    4.738 0.1269                       -2.007              1.797           
## 55     4.714        -1.491e-01  0.6045000        -1.933 2.149                 
## 841    4.819                              -2.011              1.813           
## 70     3.474 0.3141             1.1710000                     1.918           
## 309    4.706                    0.6076000        -1.950 2.166                 
## 605    5.229                    0.8168000 -1.954 -1.526       1.777           
## 409    7.395                              -1.787 -1.919             -1.1530000
## 1561   6.363                              -1.862 -1.731                       
## 1077   4.624                    0.5980000        -1.950 2.162                 
## 3106   4.852 1.1020                                     2.284                 
## 38     3.149 0.8231             0.8456000               2.096                 
## 793    6.313                              -1.855 -1.734                       
## 2205   8.343                    0.0768200 -1.817 -2.175             -0.6284000
## 801    3.580                                            1.929                 
## 3393   5.760                                                  2.206           
## 721    5.556                                     -1.699       1.519 -1.2690000
## 1569   3.537                                            1.924                 
## 531    5.565        -3.497e-01                   -1.679                       
## 71     3.770        -2.563e-01  1.1440000                     1.916           
## 3378   6.016 1.4590                              -2.545 2.633                 
## 3126   6.009 1.4570             0.1075000        -2.533 2.628                 
## 2228   6.194 1.3810 -7.000e-01                   -2.497 2.542       -0.2939000
## 698    5.260 0.9721                       -2.154 -2.120 2.582       -0.7372000
## 1093   3.715                    1.1190000                     1.954           
## 325    3.699                    1.1490000                     1.955           
## 2104   5.940 1.3940 -7.540e-01  0.2369000        -2.460 2.567                 
## 2738   5.471 1.3630                              -2.476 2.516       -0.3675000
## 2753   5.203                                                  1.986 -0.5969000
## 2349   5.663                    0.1474000 -2.167        2.407                 
## 2356   6.001 1.3890 -7.253e-01                   -2.487 2.584                 
## 1217   4.993                                                  1.860 -1.1910000
## 2221   5.703                    0.1645000 -2.166        2.411        0.0025820
## 3093   7.559                    0.2193000        -2.116                       
## 2373   4.721                    0.7640000                     2.196           
## 3261   7.964                   -0.2908000 -2.309 -2.455 2.704       -0.1717000
## 2473   5.751                              -2.180        2.418       -0.0175900
## 2242   5.288 0.4964                                           2.075 -0.6618000
## 2658   3.756 0.8340                                     2.008 1.734           
## 785    5.448                                     -1.715                       
## 1553   5.426                                     -1.715                       
## 3389   7.860                   -0.2779000 -2.323 -2.448 2.732                 
## 3345   7.658                                     -2.139                       
## 2371   5.741        -8.236e-01                                2.043           
## 162    4.037 0.7602                                     2.018       -0.8246000
## 2614   5.150 1.3730             0.2235000        -2.438 2.555                 
## 2626   4.800 0.4685                                           1.940           
## 2367   7.720        -8.381e-01 -0.1275000 -2.280 -2.374 2.672                 
## 194    4.697 0.2592                                           1.811 -1.1790000
## 2239   7.743        -8.486e-01 -0.1170000 -2.281 -2.372 2.675        0.0110900
## 2866   5.219 1.3720                              -2.464 2.570                 
## 130    5.397 0.4568                                                 -1.1270000
## 3171   5.237        -6.137e-01                          1.810 1.958           
## 2491   7.638        -8.477e-01            -2.270 -2.358 2.662        0.0239700
## 210    5.700 0.4440                              -1.786       1.600 -1.3810000
## 242    4.543 0.7981                              -1.992 2.031 1.325 -1.0930000
## 2086   4.128 1.0900             0.4906000               2.251                 
## 3513   7.713                              -2.279 -2.420 2.677       -0.1365000
## 195    4.850        -9.055e-02                                1.827 -1.1480000
## 3173   4.533                    0.5030000               1.786 2.069           
## 449    4.787                                                  1.838 -1.1570000
## 3180   5.819 0.9109 -6.295e-01            -2.433        2.363 2.077           
## 141    5.996                    0.5931000 -1.736                    -0.8373000
## 131    5.783        -3.990e-01                                      -1.0530000
## 2151   4.507        -7.510e-01  0.6179000               1.763 1.940           
## 94     5.304 0.3752             0.8964000 -1.954 -1.592       1.880           
## 22     5.268 0.6293             0.8364000        -1.798                       
## 2333   8.000                    0.1136000 -1.856 -2.142                       
## 2274   4.101 0.8425                                     1.981 1.853 -0.3110000
## 1233   6.009                                     -1.732       1.672 -1.3660000
## 3681   4.677                                            1.815 1.922           
## 3065   6.427                              -2.379 -2.220 2.459 1.870 -0.1056000
## 574    4.564 0.9833             0.4782000 -2.171 -2.028 2.655                 
## 2813   6.401                    0.0811000 -2.372 -2.209 2.454 1.879 -0.0945100
## 2941   6.331                    0.0785600 -2.381 -2.207 2.468 1.878           
## 1153   5.742                                                        -1.1070000
## 165    4.115                    0.6454000               1.848       -0.6620000
## 2877   6.835                   -0.1426000 -2.248 -2.358 2.661                 
## 2749   6.909                   -0.1369000 -2.239 -2.360 2.648       -0.0919200
## 2402   3.885 0.8538                                     2.028 1.846           
## 2497   5.387                                                  2.115 -0.6369000
## 7      4.901        -5.537e-01  0.9086000                                     
## 2659   4.664        -7.885e-01                          1.795 1.740           
## 2557   6.471                    0.0686300 -2.379 -2.228 2.461 1.920 -0.1096000
## 6      4.371 0.4968             0.9421000                                     
## 3001   6.779                              -2.226 -2.344 2.632       -0.0773200
## 1117   5.622                    0.8273000 -1.986 -1.554       1.933           
## 385    5.562                                                        -1.0870000
## 307    5.023        -1.026e-01                   -1.982 2.208                 
## 2881   4.926                                                  1.981           
## 1075   4.984        -9.473e-02                   -1.982 2.205                 
## 1329   4.983                                     -1.992 2.214                 
## 2562   5.178 0.6279                                                           
## 2210   4.555 1.0480                                     2.236       -0.2893000
## 139    6.580        -4.836e-01            -1.799                    -0.9035000
## 3593   6.750                              -1.875                              
## 2570   6.037 0.5934                       -1.825                              
## 3297   5.034                                            1.777 2.028 -0.3283000
## 211    5.810         1.147e-01                   -1.752       1.667 -1.3480000
## 245    4.462                    0.6859000        -1.828 1.810 1.536 -0.9183000
## 2338   4.326 1.0620                                     2.277                 
## 138    6.166 0.4130                       -1.770                    -0.9829000
## 465    5.846                                     -1.741       1.652 -1.3380000
## 95     5.549        -1.248e-01  0.8574000 -1.971 -1.550       1.906           
## 349    5.538                    0.8648000 -1.968 -1.561       1.926           
## 2325   7.032                    0.2899000        -2.105                       
## 118    3.395 0.8270             0.9055000        -1.839 2.114 1.412           
## 2482   5.698 1.4140                              -2.548 2.561       -0.4109000
## 3617   4.840                                            2.000                 
## 2060   7.346 0.6175 -1.172e+00            -1.870                              
## 613    2.645                    0.9503000               1.686 1.596           
## 2370   4.960 0.4888                                           2.076           
## 1099   5.391        -1.540e-01            -2.060              1.991           
## 1098   5.268 0.1257                       -2.056              1.999           
## 30     6.214 0.5761             0.6726000 -1.794 -1.822                       
## 2230   5.683 1.4080             0.1817000        -2.527 2.557       -0.3844000
## 1353   5.362                              -2.060              2.016           
## 1161   6.559                              -1.799                    -0.9751000
## 3425   4.904                                            1.834 2.024           
## 597    4.302                    0.9625000        -1.511       1.608           
## 3182   5.217 0.9385             0.3085000 -2.395        2.359 2.165           
## 2565   5.107                    0.5367000                                     
## 15     5.833        -6.146e-01  0.7572000 -1.799                              
## 2661   3.805                    0.5990000               1.773 1.891           
## 2597   4.276                    0.3834000               1.972                 
## 229    3.340                    0.8878000               1.606 1.778 -0.7258000
## 2689   5.650                                                        -0.5774000
## 3083   7.947        -1.071e+00            -1.914                              
## 3690   5.316 0.9115                       -2.415        2.373 2.076           
## 2358   5.405 1.4200             0.1907000        -2.514 2.613                 
## 39     3.897        -4.148e-01  0.7703000               1.917                 
## 3585   5.791                                                                  
## 102    2.511 0.6227             1.0590000               1.839 1.684           
## 76     5.205 0.1063 -2.407e-01            -2.035              1.945           
## 3290   8.072 0.7745                       -2.079 -2.099       2.176 -0.6648000
## 572    4.919 0.9162 -1.556e-01            -2.222 -2.040 2.677                 
## 331    5.265        -2.463e-01            -2.038              1.957           
## 393    6.311                              -1.781                    -0.9464000
## 1594   4.908 0.9304                       -2.225 -2.055 2.690                 
## 753    4.654                                     -1.858 1.842 1.320 -0.9824000
## 826    4.879 0.9221                       -2.219 -2.058 2.693                 
## 2052   6.421 0.6531 -1.091e+00                                                
## 3314   5.896 1.2630                              -2.378 2.311 1.672 -0.4503000
## 3306   5.483 0.9178                       -2.421        2.376 2.142 -0.0640200
## 1029   4.686                    0.8687000                                     
## 261    4.676                    0.8777000                                     
## 3434   5.459 0.9169                       -2.427        2.388 2.142           
## 330    5.059 0.1142                       -2.029              1.975           
## 23     5.737        -3.321e-01  0.7759000        -1.721                       
## 3188   5.923 1.2470 -4.262e-01                   -2.339 2.364 1.626           
## 2721   4.593                                            1.969       -0.2175000
## 190    5.421 1.0420             0.3906000 -2.130 -2.169 2.622       -0.7464000
## 2697   6.430                              -1.808                    -0.4244000
## 14     5.292 0.4426             0.7821000 -1.768                              
## 579    4.074        -2.830e-01                                1.572           
## 2573   6.041                    0.3743000 -1.804                              
## 3107   5.845        -8.885e-01                          2.022                 
## 602    5.609 0.2784                       -2.005 -1.614       1.626           
## 2275   4.938        -7.176e-01                          1.794 1.879 -0.1854000
## 36     3.768 0.7007 -3.081e-01                          2.119                 
## 578    3.847 0.1861                                           1.593           
## 2849   4.472                                            2.002                 
## 1625   5.865                              -2.032 -1.579       1.683           
## 2087   5.371        -9.747e-01  0.4023000               1.990                 
## 1601   4.024                                                  1.628           
## 163    4.614        -2.984e-01                          1.864       -0.7549000
## 2403   4.861        -7.428e-01                          1.823 1.874           
## 3164   8.156 0.7352 -5.940e-01            -2.132 -2.033       2.128           
## 293    3.748                    0.7546000               1.951                 
## 31     6.691        -3.909e-01  0.6209000 -1.821 -1.743                       
## 2063   7.355        -1.176e+00  0.3941000 -1.848                              
## 833    3.958                                                  1.616           
## 1061   3.709                    0.7407000               1.946                 
## 3190   5.467 1.2700             0.2822000        -2.330 2.358 1.695           
## 2277   4.119                    0.5921000               1.759 2.007 -0.2286000
## 277    5.630                    0.7577000        -1.754                       
## 1045   5.607                    0.7531000        -1.754                       
## 603    5.795        -1.479e-01            -2.017 -1.575       1.640           
## 1058   3.663 0.7211                                     2.139                 
## 2055   6.355        -1.097e+00  0.5597000                                     
## 1185   4.571                                            1.873       -0.7931000
## 1210   5.828 1.0100                       -2.175 -2.193 2.635       -0.8368000
## 290    3.589 0.7183                                     2.140                 
## 857    5.751                              -2.014 -1.588       1.662           
## 417    4.472                                            1.880       -0.7763000
## 86     4.361 0.4505             1.0540000        -1.586       1.713           
## 2405   4.000                    0.6108000               1.795 2.007           
## 2825   6.227                              -1.837                              
## 3698   5.608 1.2500                              -2.349 2.376 1.633           
## 2187   7.675        -1.118e+00            -1.859                    -0.3133000
## 2817   5.381                                                                  
## 629    3.628                    0.7928000        -1.716 1.911 1.389           
## 3442   5.657 1.2590                              -2.363 2.384 1.665           
## 442    5.675 1.0020                       -2.163 -2.199 2.641       -0.8131000
## 1037   5.663                    0.7003000 -1.794                              
## 188    5.694 0.9992 -1.002e-02            -2.163 -2.198 2.642       -0.8110000
## 1053   6.611                    0.5807000 -1.820 -1.779                       
## 2493   7.249                   -0.1708000 -2.251 -2.434 2.694       -0.1384000
## 2211   5.637        -9.477e-01                          2.005       -0.1239000
## 285    6.543                    0.5960000 -1.811 -1.782                       
## 737    3.574                                            1.643 1.506 -0.8069000
## 2339   5.576        -9.620e-01                          2.023                 
## 269    5.559                    0.7205000 -1.781                              
## 2604   5.498 1.0220 -1.073e+00            -2.204        2.508                 
## 3075   6.951        -1.008e+00                                                
## 2785   4.280                                            1.786 1.828 -0.2689000
## 2315   7.550        -1.157e+00            -1.882                              
## 2179   6.812        -1.007e+00                                      -0.4889000
## 28     6.787 0.4724 -3.114e-01            -1.865 -1.829                       
## 1265   5.026                                     -1.890 1.852 1.453 -1.0620000
## 243    4.823         2.031e-01                   -1.917 1.873 1.463 -1.0580000
## 626    3.681 0.7378                              -1.868 2.155 1.155           
## 2913   4.132                                            1.829 1.822           
## 1050   6.750 0.4954                       -1.867 -1.853                       
## 497    4.943                                     -1.898 1.866 1.440 -1.0380000
## 3166   7.597 0.7610             0.2778000 -2.099 -2.034       2.210           
## 282    6.593 0.4936                       -1.854 -1.859                       
## 3644   7.135 1.4390 -7.238e-01            -2.315 -2.500 2.923                 
## 357    2.974                    1.0140000               1.723 1.765           
## 3082   7.129 0.6832                       -1.879                              
## 103    2.981        -1.603e-01  0.9989000               1.707 1.737           
## 341    4.635                    1.0170000        -1.549       1.767           
## 1125   2.951                    0.9814000               1.713 1.761           
## 20     5.871 0.5092 -2.355e-01                   -1.821                       
## 1109   4.621                    0.9926000        -1.547       1.764           
## 3674   7.725 0.7363                       -2.117 -2.046       2.141           
## 87     4.616        -8.323e-02  1.0050000        -1.542       1.751           
## 12     6.045 0.3142 -5.436e-01            -1.856                              
## 2160   5.030 0.8792 -8.102e-01  0.4685000 -2.326        2.313 2.008           
## 1042   5.811 0.5241                              -1.841                       
## 3418   7.794 0.7466                       -2.123 -2.063       2.186           
## 274    5.719 0.5261                              -1.843                       
## 226    3.586 0.5498                                     1.774 1.591 -0.9066000
## 2668   5.166 0.8362 -8.419e-01            -2.354        2.331 1.854           
## 2307   6.635        -1.075e+00                                                
## 1114   6.076 0.2796                       -2.047 -1.642       1.797           
## 4      5.137 0.3515 -4.670e-01                                                
## 2529   4.459                                            1.800 1.942 -0.3016000
## 1035   6.280        -5.237e-01            -1.871                              
## 1051   7.080        -3.095e-01            -1.881 -1.787                       
## 3291   8.501        -5.048e-01            -2.112 -1.978       2.196 -0.5279000
## 267    6.210        -5.575e-01            -1.863                              
## 3074   6.174 0.7087                                                           
## 283    7.017        -3.373e-01            -1.874 -1.789                       
## 701    5.580                    0.2719000 -2.127 -1.994 2.374       -0.6153000
## 3691   6.060        -6.760e-01            -2.412        2.153 2.076           
## 610    2.822 0.5144                                     1.880 1.384           
## 1369   6.227                              -2.055 -1.616       1.833           
## 1115   6.186         1.020e-02            -2.054 -1.617       1.832           
## 373    3.939                    0.8472000        -1.753 1.947 1.528           
## 1086   5.041 1.0130             0.4818000 -2.194 -2.102 2.729                 
## 64     5.025 1.0030 -1.229e-01  0.5033000 -2.187 -2.091 2.718                 
## 2178   5.977 0.6794                                                 -0.6884000
## 2054   5.340 0.7171             0.6266000                                     
## 291    4.255        -3.608e-01                          1.984                 
## 92     5.949 0.2678 -5.876e-02            -2.026 -1.649       1.769           
## 318    4.994 1.0070             0.5011000 -2.185 -2.105 2.731                 
## 1059   4.228        -3.469e-01                          1.981                 
## 346    5.908 0.2713                       -2.025 -1.654       1.775           
## 1305   6.963                              -1.874 -1.815                       
## 699    5.814        -1.687e-01            -2.155 -1.998 2.384       -0.6476000
## 1027   5.342        -4.740e-01                                                
## 259    5.318        -4.824e-01                                                
## 1034   5.911 0.3469                       -1.854                              
## 1721   5.837                              -2.157 -2.015 2.390       -0.6774000
## 119    3.836         5.012e-02  0.8203000        -1.757 1.944 1.525           
## 3183   6.037        -6.503e-01  0.2587000 -2.401        2.143 2.186           
## 1141   3.876                    0.8205000        -1.751 1.939 1.521           
## 3109   5.156                    0.3017000               2.041                 
## 2168   5.239 1.2120 -5.888e-01  0.4176000        -2.277 2.324 1.582           
## 953    5.794                              -2.151 -2.018 2.400       -0.6585000
## 1026   4.985 0.3764                                                           
## 3233   5.494                                            2.017       -0.2938000
## 258    4.854 0.3766                                                           
## 3209   7.549                              -1.854                    -0.5184000
## 266    5.713 0.3431                       -1.838                              
## 3435   6.297        -6.527e-01            -2.430        2.176 2.169           
## 347    6.073        -7.127e-02            -2.034 -1.623       1.801           
## 1043   6.132        -2.608e-01                   -1.777                       
## 275    6.115        -2.632e-01                   -1.777                       
## 3307   6.207        -6.514e-01            -2.433        2.183 2.164  0.0594200
## 3201   6.670                                                        -0.6720000
## 1249   4.034                                            1.650 1.680 -0.9062000
## 2412   5.296 0.8483 -7.965e-01            -2.369        2.356 1.964           
## 2284   5.320 0.8400 -8.251e-01            -2.380        2.376 1.964  0.1005000
## 1313   4.112                                            2.003                 
## 3136   7.559 1.4640 -6.752e-01 -0.1461000 -2.345 -2.580 2.995                 
## 3361   5.339                                            2.065                 
## 2676   5.397 1.1770 -6.079e-01                   -2.295 2.345 1.464           
## 3675   8.214        -6.307e-01            -2.138 -1.924       2.124           
## 3260   7.460 1.4740 -6.739e-01            -2.324 -2.567 2.971       -0.0529200
## 3388   7.414 1.4760 -6.783e-01            -2.328 -2.565 2.979                 
## 2292   5.639 1.1900 -5.282e-01                   -2.339 2.315 1.542 -0.3319000
## 3801   8.158                              -2.093 -1.992       2.205 -0.6021000
## 3116   6.290 1.1150 -9.113e-01            -2.258        2.601                 
## 1297   6.026                                     -1.800                       
## 3167   8.164        -6.117e-01  0.2360000 -2.127 -1.920       2.213           
## 3293   8.135                    0.1446000 -2.087 -1.990       2.260 -0.5949000
## 1289   6.063                              -1.859                              
## 1090   4.316 0.1804                                           1.797           
## 116    3.868 0.7436  1.510e-01                   -1.924 2.200 1.306           
## 3626   5.328 1.0970                       -2.223        2.579                 
## 1138   4.007 0.7399                              -1.905 2.185 1.297           
## 3545   8.252                              -2.099 -2.007       2.247 -0.6153000
## 1091   4.454        -1.359e-01                                1.797           
## 370    3.970 0.7340                              -1.910 2.191 1.291           
## 481    3.895                                            1.667 1.663 -0.8744000
## 227    3.893        -2.920e-02                          1.664 1.658 -0.8734000
## 1345   4.418                                                  1.818           
## 2186   6.767 0.6390                       -1.795                    -0.5342000
## 68     4.297 0.1667 -1.863e-01                                1.759           
## 1281   5.140                                                                  
## 3324   6.977 1.2690 -4.337e-01            -2.469 -2.388 2.728 1.833 -0.0950100
## 3708   6.915 1.2650 -4.572e-01            -2.475 -2.378 2.739 1.816           
## 3200   6.933 1.2680 -4.512e-01  0.0166300 -2.476 -2.382 2.742 1.833           
## 3452   6.956 1.2660 -4.520e-01            -2.478 -2.384 2.744 1.832           
## 594    4.720 0.3378                              -1.615       1.422           
## 3419   8.377        -6.047e-01            -2.148 -1.947       2.195           
## 2420   5.448 1.1970 -5.633e-01                   -2.327 2.363 1.534           
## 2062   6.288 0.6656             0.4598000 -1.790                              
## 322    4.183 0.1731                                           1.782           
## 323    4.384        -1.934e-01                                1.777           
## 611    3.208        -1.836e-01                          1.764 1.425           
## 3085   7.173                    0.2674000 -1.862                              
## 2294   5.057 1.2180             0.3725000        -2.327 2.298 1.628 -0.3711000
## 1633   3.180                                            1.770 1.462           
## 865    3.167                                            1.779 1.454           
## 2181   5.932                    0.4833000                           -0.5887000
## 575    5.270        -2.611e-01  0.3796000 -2.176 -1.910 2.442                 
## 2213   4.867                    0.3657000               2.006       -0.2295000
## 1084   5.372 0.9544 -4.166e-02            -2.246 -2.127 2.762                 
## 1338   5.377 0.9555                       -2.246 -2.131 2.767                 
## 3077   6.095                    0.4610000                                     
## 558    3.587 0.7894             0.6108000 -2.101        2.370                 
## 3646   6.920 1.4530            -0.1637000 -2.323 -2.571 2.989                 
## 829    5.234                    0.3801000 -2.170 -1.940 2.470                 
## 3337   7.315                              -1.888                              
## 2678   4.748 1.2080             0.4051000        -2.287 2.339 1.572           
## 3770   6.844 1.4660                       -2.292 -2.558 2.949       -0.1361000
## 316    5.313 0.9453 -8.340e-02            -2.237 -2.127 2.761                 
## 2341   4.725                    0.3756000               2.040                 
## 2306   5.613 0.6754                                                           
## 3898   6.746 1.4680                       -2.304 -2.554 2.971                 
## 2670   4.320 0.8725             0.4546000 -2.298        2.325 1.986           
## 690    4.555 0.9632                              -2.082 2.193       -0.9644000
## 881    4.116                                     -1.785 1.998 1.264           
## 1617   4.916                                     -1.581       1.473           
## 1597   5.191                    0.3564000 -2.175 -1.939 2.464                 
## 595    4.905        -1.015e-01                   -1.576       1.449           
## 849    4.887                                     -1.585       1.465           
## 2802   5.215 1.1890                              -2.348 2.314 1.531 -0.4011000
## 3693   5.527                    0.2382000 -2.384        2.155 2.181           
## 1649   4.081                                     -1.782 1.990 1.267           
## 627    4.038         3.533e-02                   -1.788 1.994 1.267           
## 2422   4.812 1.2260             0.3889000        -2.314 2.353 1.624           
## 2314   6.467 0.6411                       -1.832                              
## 2546   5.242 1.2120                              -2.373 2.322 1.582 -0.4208000
## 2268   7.771 0.6873 -6.884e-01            -2.030 -2.049       2.011 -0.5183000
## 2876   6.655 1.3790 -8.399e-01            -2.272 -2.472 2.897                 
## 2465   5.034                                            2.023       -0.2761000
## 2748   6.694 1.3700 -8.607e-01            -2.276 -2.467 2.905        0.0397700
## 2144   7.309 0.7005 -7.821e-01  0.4455000 -2.032 -1.971       2.055           
## 2624   6.709 1.3700 -8.539e-01 -0.0029970 -2.272 -2.469 2.898                 
## 3635   6.604        -7.410e-01                   -2.237 2.229                 
## 3578   6.758 1.2800                       -2.459 -2.415 2.735 1.875 -0.1694000
## 3326   6.786 1.2780            -0.0169400 -2.461 -2.417 2.737 1.874 -0.1712000
## 3834   6.765 1.2780                       -2.459 -2.414 2.735 1.873 -0.1685000
## 3945   5.748                              -2.410        2.184 2.162           
## 3817   5.719                              -2.406        2.175 2.162 -0.0320800
## 827    5.536        -2.517e-01            -2.214 -1.940 2.488                 
## 3437   5.724                    0.2513000 -2.397        2.172 2.257           
## 3962   6.678 1.2760                       -2.473 -2.408 2.764 1.870           
## 3454   6.690 1.2770            -0.0021540 -2.474 -2.410 2.765 1.875           
## 3710   6.689 1.2750             0.0005435 -2.473 -2.407 2.764 1.871           
## 2433   6.147                                                        -0.6546000
## 3309   5.691                    0.2378000 -2.395        2.166 2.253 -0.0226400
## 1595   5.469        -2.197e-01            -2.215 -1.941 2.483                 
## 2652   7.471 0.6580 -8.094e-01            -2.057 -1.982       1.919           
## 2930   4.951 1.1970                              -2.336 2.375 1.524           
## 1849   5.480                              -2.215 -1.964 2.505                 
## 3677   7.730                    0.2166000 -2.112 -1.935       2.222           
## 682    4.198 0.7399                       -2.115        2.331       -0.5089000
## 3329   6.358                                                                  
## 2414   4.444 0.8853             0.4503000 -2.312        2.344 2.075           
## 3561   5.916                              -2.419        2.189 2.236 -0.0496300
## 2286   4.479 0.8775             0.4678000 -2.312        2.349 2.080  0.0167900
## 556    4.163 0.6890 -4.497e-01            -2.171        2.378                 
## 3421   7.860                    0.2169000 -2.121 -1.952       2.275           
## 3929   7.910                              -2.132 -1.959       2.203           
## 2309   5.635                    0.5264000                                     
## 2588   7.975 0.8325 -1.050e+00            -1.878 -2.098                       
## 2189   6.797                    0.3373000 -1.783                    -0.4573000
## 2922   4.562 0.8467                       -2.339        2.364 1.940           
## 3262   7.325 1.4840            -0.1956000 -2.323 -2.636 3.008       -0.1916000
## 2739   6.425        -7.824e-01                   -2.235 2.196       -0.2064000
## 1122   3.223 0.5134                                     1.909 1.565           
## 3390   7.168 1.4890            -0.1904000 -2.338 -2.630 3.037                 
## 2615   6.265        -8.203e-01  0.1330000        -2.210 2.213                 
## 2794   4.627 0.8354                       -2.338        2.366 1.941 -0.0103500
## 2671   5.331        -8.411e-01  0.3820000 -2.318        2.112 1.983           
## 3514   7.093 1.5020                       -2.301 -2.615 2.989       -0.1692000
## 2096   5.744 1.0810 -1.036e+00  0.2783000 -2.191        2.564                 
## 2867   6.353        -8.181e-01                   -2.225 2.227                 
## 2441   6.923                              -1.810                    -0.5012000
## 2396   7.555 0.6777 -7.551e-01            -2.068 -2.020       2.012           
## 100    3.166 0.5043 -7.754e-02                          1.910 1.544           
## 3282   7.139 0.8286                              -2.110       1.959 -0.8418000
## 354    3.137 0.5051                                     1.916 1.554           
## 3148   7.029 0.4892 -7.324e-01            -2.135              2.306           
## 566    3.598 0.9858             0.6949000        -1.958 2.280                 
## 2220   5.885 1.0540 -1.055e+00            -2.233        2.613        0.1427000
## 2348   5.860 1.0650 -1.016e+00            -2.218        2.585                 
## 2270   7.067 0.7211             0.3765000 -1.978 -2.048       2.105 -0.5855000
## 2317   6.556                    0.3583000 -1.813                              
## 1578   4.024 0.7193                       -2.171        2.411                 
## 3151   6.829        -7.490e-01  0.4773000 -2.103              2.378           
## 254    4.788 0.8366             0.5905000 -2.226 -1.954 2.371 1.560 -0.7609000
## 3627   6.319        -9.994e-01            -2.222        2.304                 
## 2606   4.646 1.0560             0.2608000 -2.150        2.543                 
## 182    4.615 1.0540             0.5755000        -2.120 2.232       -0.9406000
## 810    3.960 0.7090                       -2.161        2.413                 
## 3659   6.969        -7.797e-01            -2.128              2.223           
## 2778   7.214 0.6868                       -1.998 -2.063       1.998 -0.6126000
## 559    4.353        -5.360e-01  0.5455000 -2.114        2.188                 
## 2580   7.035 0.8667 -9.694e-01                   -2.087                       
## 2538   4.736 0.8539                       -2.350        2.379 2.033 -0.0372000
## 2795   5.526        -8.654e-01            -2.367        2.180 1.938  0.1465000
## 2522   7.252 0.7143                       -2.005 -2.092       2.062 -0.6378000
## 2858   4.754 1.0440                       -2.176        2.562                 
## 1213   6.157                    0.2529000 -2.146 -2.070 2.427       -0.7114000
## 2923   5.580        -8.434e-01            -2.353        2.155 1.942           
## 1106   5.133 0.3351                              -1.652       1.594           
## 191    6.086        -1.221e-01  0.2852000 -2.138 -2.059 2.424       -0.6785000
## 2730   4.808 1.0320                       -2.178        2.569        0.0219800
## 1139   4.313         1.438e-01                   -1.833 2.030 1.423           
## 445    6.069                    0.2831000 -2.135 -2.074 2.435       -0.6866000
## 1393   4.437                                     -1.822 2.027 1.408           
## 3761   6.434                                     -2.302 2.217       -0.3573000
## 371    4.308         9.831e-02                   -1.836 2.036 1.410           
## 2287   5.453        -8.340e-01  0.4093000 -2.347        2.163 2.094  0.1584000
## 338    5.037 0.3305                              -1.659       1.582           
## 84     5.050 0.3289 -3.514e-03                   -1.659       1.583           
## 3275   7.285        -6.668e-01            -2.120              2.348 -0.3723000
## 1465   6.378                              -2.170 -2.092 2.448       -0.7574000
## 762    4.983 0.7811                       -2.258 -1.972 2.392 1.382 -0.8078000
## 2415   5.521        -8.125e-01  0.4000000 -2.333        2.137 2.096           
## 1211   6.348        -4.412e-02            -2.170 -2.087 2.442       -0.7542000
## 2779   7.802        -7.270e-01            -2.044 -1.934       1.991 -0.4419000
## 1377   3.563                                            1.807 1.635           
## 3150   6.201 0.5353             0.5087000 -2.078              2.418           
## 2655   7.406        -8.086e-01  0.3723000 -2.046 -1.865       2.023           
## 1123   3.527        -5.286e-02                          1.801 1.624           
## 2271   7.723        -7.034e-01  0.3321000 -2.029 -1.927       2.113 -0.4275000
## 2368   6.952 1.4140 -7.978e-01 -0.0306900 -2.286 -2.547 2.962                 
## 3251   7.122        -6.393e-01                   -2.327 2.244       -0.2931000
## 2492   6.937 1.4160 -7.969e-01            -2.282 -2.544 2.957       -0.0126100
## 3100   8.864 0.9232 -8.826e-01            -1.922 -2.209                       
## 443    6.278        -9.909e-02            -2.162 -2.087 2.449       -0.7287000
## 685    4.350                    0.4581000 -2.075        2.166       -0.3840000
## 355    3.504        -1.100e-01                          1.808 1.608           
## 2654   6.658 0.6936             0.4333000 -2.004 -1.983       2.045           
## 3274   6.781 0.5141                       -2.090              2.377 -0.5142000
## 1361   5.288                                     -1.622       1.636           
## 1107   5.254         2.899e-02                   -1.624       1.638           
## 645    4.575                    0.7081000                           -0.8471000
## 2731   5.948        -1.122e+00            -2.216        2.338        0.2245000
## 2240   7.030 1.4020 -8.191e-01 -0.0080580 -2.284 -2.542 2.962       -0.0075220
## 3118   5.678 1.1440             0.1343000 -2.227        2.637                 
## 683    4.818        -4.603e-01            -2.128        2.172       -0.4236000
## 2607   5.913        -1.088e+00  0.1741000 -2.177        2.281                 
## 3637   6.235                    0.0271100        -2.285 2.273                 
## 3889   6.260                                     -2.288 2.276                 
## 3370   5.729 1.1390                       -2.241        2.645                 
## 3242   5.802 1.1340                       -2.237        2.639       -0.0527500
## 339    5.195        -1.800e-02                   -1.628       1.621           
## 658    5.856 0.6132                              -1.881             -1.2570000
## 3610   7.923 0.9070                       -1.890 -2.183                       
## 2859   6.046        -1.093e+00            -2.195        2.301                 
## 3127   6.981        -6.922e-01  0.0432500        -2.309 2.286                 
## 3379   7.025        -6.918e-01                   -2.314 2.291                 
## 3403   7.227        -7.384e-01            -2.146              2.346           
## 638    4.121 0.8027             0.6706000 -2.266 -1.856 2.452 1.439           
## 1274   5.409 0.7941                       -2.290 -1.996 2.398 1.511 -0.8940000
## 2398   6.749 0.7129             0.4121000 -2.016 -2.015       2.115           
## 2523   7.915        -6.748e-01            -2.052 -1.968       2.079 -0.4785000
## 3658   6.405 0.4870                       -2.110              2.285           
## 813    4.176                    0.5301000 -2.102        2.231                 
## 1581   4.163                    0.5019000 -2.110        2.226                 
## 2539   5.716        -8.222e-01            -2.380        2.200 2.054  0.1107000
## 2706   6.803 0.9108                              -2.193             -0.7832000
## 2907   7.641        -7.952e-01            -2.075 -1.907       1.985           
## 3277   6.608                    0.4097000 -2.070              2.450 -0.4307000
## 3156   7.111 0.7819 -5.552e-01                   -2.036       1.912           
## 661    5.755                    0.5533000        -1.781             -1.0850000
## 2399   7.558        -7.699e-01  0.3715000 -2.057 -1.899       2.117           
## 3661   6.213                    0.4543000 -2.079              2.358           
## 3158   6.412 0.8218             0.4868000        -2.013       2.011           
## 811    4.689        -5.201e-01            -2.168        2.247                 
## 2906   6.891 0.6766                       -2.040 -2.031       2.001           
## 2639   6.079        -9.428e-01  0.5912000 -2.023              2.148           
## 1202   5.071 0.9974                              -2.160 2.248       -1.0570000
## 3785   6.738                              -2.091              2.326 -0.4592000
## 717    4.703                    0.8261000 -1.901              1.960 -0.7943000
## 1705   4.731                              -2.122        2.190       -0.4797000
## 1579   4.615        -4.848e-01            -2.169        2.241                 
## 180    4.965 0.9962  6.732e-02                   -2.171 2.258       -1.0480000
## 434    4.974 0.9942                              -2.163 2.252       -1.0440000
## 252    5.123 0.7930  1.936e-01            -2.267 -2.027 2.423 1.508 -0.8754000
## 3226   8.666 0.9748                       -1.853 -2.300             -0.7184000
## 3611   8.608        -9.626e-01            -1.923 -2.020                       
## 937    4.652                              -2.114        2.200       -0.4564000
## 3218   7.772 1.0050                              -2.291             -0.8730000
## 2993   6.001                                     -2.293 2.221       -0.3370000
## 2741   5.976                    0.0807700        -2.283 2.218       -0.3251000
## 2128   6.079 0.4860 -9.089e-01  0.6607000 -2.020              2.249           
## 506    5.229 0.7815                       -2.271 -2.008 2.414 1.487 -0.8566000
## 3002   6.161 1.4050                       -2.242 -2.535 2.930       -0.1107000
## 2878   6.145 1.4000            -0.0472500 -2.257 -2.536 2.953                 
## 3402   6.589 0.4952                       -2.124              2.382           
## 2231   6.759        -7.396e-01  0.0998900        -2.305 2.244       -0.2471000
## 2196   7.712 0.9299 -8.033e-01                   -2.225             -0.7118000
## 622    3.167 0.5974             0.8227000 -2.219        2.161 1.683           
## 2483   6.794        -7.259e-01                   -2.317 2.249       -0.2628000
## 3602   6.934 0.9295                              -2.163                       
## 2204   8.584 0.8877 -9.134e-01            -1.844 -2.224             -0.5354000
## 519    4.336        -6.323e-01  0.8774000                                     
## 693    4.770                    0.4551000        -1.942 1.981       -0.8065000
## 2750   6.265 1.3860            -0.0293700 -2.245 -2.534 2.937       -0.1101000
## 2359   6.641        -7.752e-01  0.1206000        -2.292 2.279                 
## 3405   6.446                    0.4634000 -2.094              2.460           
## 2714   7.601 0.8710                       -1.802 -2.199             -0.6291000
## 642    4.784 0.4400                                                 -1.0190000
## 319    5.750        -2.091e-01  0.4055000 -2.189 -1.995 2.525                 
## 643    5.179        -4.857e-01                                      -0.9355000
## 564    4.027 0.8956 -1.005e-01                   -1.987 2.312                 
## 2869   5.782                    0.1054000        -2.268 2.266                 
## 818    4.013 0.8981                              -1.999 2.323                 
## 3529   6.942                              -2.103              2.419 -0.4853000
## 1586   3.969 0.9013                              -1.999 2.321                 
## 3666   6.653 0.7804                              -2.039       1.900           
## 1087   5.717        -1.717e-01  0.3801000 -2.194 -1.996 2.522                 
## 2781   7.173                    0.3100000 -1.998 -1.944       2.098 -0.5270000
## 3092   7.847 0.9483 -8.206e-01                   -2.195                       
## 1341   5.732                    0.3758000 -2.195 -2.014 2.540                 
## 3505   6.826                                     -2.370 2.261       -0.3999000
## 3253   6.875                   -0.0348000        -2.374 2.266       -0.4043000
## 709    3.879                    0.9491000                     1.797 -0.9123000
## 1150   4.446 0.8076             0.6756000 -2.298 -1.882 2.478 1.565           
## 2636   6.311 0.4210 -9.502e-01            -2.057              2.050           
## 2715   8.376        -9.853e-01            -1.864 -2.031             -0.4014000
## 666    6.626 0.5695                       -1.772 -1.883             -1.1120000
## 3315   6.519        -3.923e-01                   -2.178 2.024 1.774 -0.3571000
## 518    3.798 0.4829             0.9052000                                     
## 3913   6.576                              -2.120              2.324           
## 1833   4.514                              -2.165        2.277                 
## 382    4.389 0.7971             0.7122000 -2.282 -1.889 2.484 1.561           
## 2797   4.768                    0.3851000 -2.308        2.156 2.069  0.0433700
## 2925   4.783                    0.3785000 -2.304        2.148 2.069           
## 3283   7.534        -4.322e-01                   -1.986       1.988 -0.7166000
## 174    4.331 0.8312             0.5704000 -2.076        2.372       -0.5036000
## 128    4.297 0.8070  6.657e-02  0.6923000 -2.282 -1.896 2.486 1.561           
## 2262   6.146 0.7958             0.5282000        -2.043       1.927 -0.7377000
## 3410   6.758 0.7947                              -2.064       1.965           
## 550    2.684 0.7984             0.8163000               2.016                 
## 2260   6.896 0.7523 -5.894e-01                   -2.066       1.821 -0.7125000
## 765    5.017                    0.4965000 -2.226 -1.830 2.184 1.564 -0.6725000
## 3033   7.348                              -2.020 -1.982       2.065 -0.5710000
## 2525   7.286                    0.2900000 -2.007 -1.973       2.165 -0.5532000
## 659    6.181        -2.329e-01                   -1.800             -1.1690000
## 2707   7.510        -8.746e-01                   -2.027             -0.5774000
## 3699   6.267        -4.809e-01                   -2.141 2.067 1.705           
## 3191   6.216        -4.656e-01  0.2298000        -2.135 2.056 1.787           
## 3285   7.049                    0.3290000        -1.972       2.064 -0.7419000
## 2136   6.255 0.7710 -7.183e-01  0.6192000        -1.958       1.882           
## 238    3.712 0.6130             0.7854000 -2.196        2.104 1.842 -0.5491000
## 1681   6.163                                     -1.824             -1.2020000
## 2255   6.373        -8.613e-01  0.5840000 -2.022              2.287 -0.2439000
## 48     4.258 0.7950 -4.198e-01  0.6633000 -2.124        2.419                 
## 2080   8.282 0.8858 -1.012e+00  0.2502000 -1.860 -2.167                       
## 913    6.104                                     -1.826             -1.1920000
## 749    3.826                    0.6952000 -2.192        1.969 1.773 -0.4704000
## 2591   8.150        -1.060e+00  0.1623000 -1.879 -1.988                       
## 2596   4.610 1.0020 -1.000e+00                          2.150                 
## 3825   6.237                                     -2.186 2.024 1.774 -0.4108000
## 3317   6.198                    0.1679000        -2.180 2.016 1.832 -0.4009000
## 653    5.386                    0.5758000 -1.737                    -0.7339000
## 2332   8.346 0.8801 -9.788e-01            -1.882 -2.194                       
## 3793   7.181                                     -1.990       1.971 -0.7705000
## 1339   5.987        -1.364e-01            -2.236 -2.028 2.567                 
## 3381   6.638                    0.0059720        -2.356 2.328                 
## 3443   6.426        -4.613e-01                   -2.163 2.084 1.766           
## 2763   6.541        -8.966e-01            -2.049              2.094 -0.2752000
## 2843   8.241        -1.050e+00            -1.893 -2.006                       
## 1665   5.068                                                        -0.9913000
## 945    5.081                                     -1.982 2.012       -0.8865000
## 691    5.077        -9.301e-02                   -1.970 2.001       -0.8822000
## 2582   6.206 0.9112             0.4075000        -2.108                       
## 2072   7.234 0.9364 -9.353e-01  0.4255000        -2.140                       
## 1713   5.060                                     -1.980 2.006       -0.8934000
## 1229   5.231                    0.8096000 -1.939              2.134 -0.9014000
## 2383   6.301        -9.019e-01  0.6087000 -2.037              2.289           
## 3569   6.352                                     -2.201 2.032 1.815 -0.4229000
## 897    4.984                                                        -0.9771000
## 527    5.269        -6.929e-01  0.7264000 -1.796                              
## 651    5.975        -5.708e-01            -1.803                    -0.7856000
## 2688   6.221 1.1970 -6.590e-01  0.1753000 -2.387 -2.326 2.700 1.685           
## 3603   7.581        -9.029e-01                   -2.001                       
## 3537   7.311                                     -2.011       2.031 -0.7905000
## 669    6.586                    0.4182000 -1.755 -1.798             -0.9729000
## 1658   4.658 0.7415                       -2.341 -1.900 2.511 1.366           
## 3049   4.999                              -2.339        2.188 2.029 -0.0002307
## 2891   6.454        -9.388e-01            -2.069              2.089           
## 2940   6.288 1.1960 -6.408e-01            -2.403 -2.349 2.719 1.668           
## 206    4.840 0.2900             0.8897000 -1.900              2.087 -0.8775000
## 2770   6.379 0.7495                              -2.070       1.791 -0.7834000
## 150    5.973 0.7095             0.6455000        -1.924             -1.2400000
## 2541   4.938                    0.3870000 -2.320        2.171 2.165  0.0185600
## 2812   6.353 1.1860 -6.544e-01            -2.402 -2.346 2.717 1.667 -0.0161800
## 2432   6.260 1.2110 -6.270e-01  0.1626000 -2.395 -2.349 2.715 1.732           
## 1277   5.408                    0.4811000 -2.255 -1.856 2.193 1.684 -0.7509000
## 2909   6.893                    0.3515000 -2.030 -1.912       2.104           
## 2583   7.107        -9.835e-01  0.3343000        -1.955                       
## 3701   5.868                    0.2125000        -2.145 2.068 1.785           
## 1070   4.152 0.8180             0.6184000 -2.128        2.449                 
## 773    4.130                    0.8536000                                     
## 2304   6.315 1.2030 -6.403e-01  0.1780000 -2.393 -2.346 2.714 1.735 -0.0117100
## 1785   5.519                              -2.279 -1.872 2.216 1.520 -0.7864000
## 890    4.583 0.7298                       -2.326 -1.908 2.518 1.348           
## 2494   6.505 1.4330            -0.0729300 -2.257 -2.607 2.983       -0.1553000
## 2252   6.623 0.4352 -8.500e-01            -2.048              2.195 -0.3451000
## 1541   4.050                    0.8429000                                     
## 2842   7.268 0.8612                       -1.845 -2.167                       
## 623    3.668        -2.586e-01  0.7686000 -2.229        2.030 1.718           
## 636    4.515 0.7380  4.784e-02            -2.325 -1.913 2.519 1.352           
## 2556   6.377 1.2030 -6.155e-01            -2.407 -2.370 2.727 1.715 -0.0383600
## 2834   6.393 0.8936                              -2.150                       
## 2590   7.197 0.8623             0.2346000 -1.823 -2.140                       
## 207    5.089        -2.166e-01  0.8685000 -1.918              2.088 -0.8357000
## 877    3.623                    0.7832000 -2.225        2.051 1.760           
## 302    4.067 0.8112             0.6431000 -2.115        2.451                 
## 1645   3.667                    0.7367000 -2.242        2.043 1.769           
## 2514   6.442 0.7780                              -2.104       1.866 -0.8133000
## 3445   6.003                    0.2189000        -2.161 2.080 1.835           
## 674    3.524 0.7351                                     1.953       -0.7360000
## 56     4.052 1.0090 -8.353e-02  0.7197000        -2.028 2.348                 
## 310    4.050 1.0100             0.7225000        -2.038 2.358                 
## 1078   4.000 1.0130             0.7164000        -2.038 2.356                 
## 3953   6.053                                     -2.170 2.093 1.764           
## 591    4.445        -3.760e-01  0.9569000 -1.948              1.885           
## 2644   6.506 0.7139 -7.480e-01                   -1.982       1.712           
## 3354   8.311 0.9522                       -1.899 -2.263                       
## 2324   7.409 0.9148 -8.974e-01                   -2.184                       
## 3159   6.968        -5.818e-01  0.4420000        -1.894       2.019           
## 509    5.287                    0.5318000 -2.237 -1.863 2.209 1.675 -0.7095000
## 667    6.973        -3.184e-01            -1.799 -1.796             -1.0190000
## 172    4.870 0.7464 -3.286e-01            -2.135        2.378       -0.5693000
## 1194   4.878 0.7779                       -2.140        2.388       -0.6262000
## 650    5.553 0.3962                       -1.770                    -0.8745000
## 1134   3.561 0.6003             0.8300000 -2.259        2.188 1.844           
## 461    5.019                    0.8657000 -1.912              2.118 -0.8529000
## 255    5.193         1.004e-01  0.5053000 -2.236 -1.873 2.208 1.680 -0.7281000
## 2350   5.002 1.1010             0.2405000 -2.167        2.614                 
## 3102   8.338 0.9472             0.0987800 -1.890 -2.252                       
## 746    3.962 0.5362                       -2.239        2.129 1.610 -0.6098000
## 1017   5.396                              -2.264 -1.880 2.234 1.494 -0.7501000
## 2450   7.139 0.9673                              -2.281             -0.8499000
## 763    5.314         8.363e-02            -2.262 -1.888 2.232 1.505 -0.7634000
## 2198   7.051 0.9682             0.3188000        -2.246             -0.8036000
## 198    3.991 0.3709             1.0240000                     1.925 -1.0040000
## 3737   8.407                              -1.862 -2.113             -0.5970000
## 1689   6.987                              -1.797 -1.828             -1.0710000
## 2380   6.480 0.4325 -8.910e-01            -2.073              2.193           
## 2638   5.260 0.4761             0.6439000 -1.984              2.210           
## 590    4.128 0.2466             0.9733000 -1.932              1.915           
## 2835   7.307        -9.697e-01                   -1.990                       
## 3629   5.759                    0.0548900 -2.200        2.351                 
## 2222   5.076 1.0890             0.2666000 -2.165        2.618       -0.0006280
## 3881   5.823                              -2.206        2.358                 
## 3753   5.793                              -2.207        2.360        0.0175900
## 112    3.496 0.5899 -1.677e-01  0.8654000 -2.240        2.181 1.811           
## 1613   4.402                    0.9197000 -1.959              1.955           
## 366    3.467 0.5874             0.8745000 -2.238        2.194 1.838           
## 2485   6.341                    0.0511600        -2.360 2.266       -0.3745000
## 3667   7.130        -6.020e-01                   -1.914       1.888           
## 3243   6.778        -9.622e-01            -2.255        2.399        0.1263000
## 2474   5.158 1.0820                       -2.188        2.627       -0.0332100
## 3729   7.505                                     -2.099             -0.7490000
## 3119   6.763        -9.443e-01  0.0771000 -2.234        2.369                 
## 3371   6.856        -9.472e-01            -2.244        2.379                 
## 2646   5.627 0.7627             0.6034000        -1.963       1.855           
## 921    6.860                              -1.786 -1.832             -1.0510000
## 845    4.329                    0.9618000 -1.940              1.944           
## 1737   5.484                              -1.979              1.891 -0.9790000
## 426    4.681 0.7675                       -2.124        2.394       -0.5968000
## 526    4.720 0.4289             0.7457000 -1.763                              
## 3227   9.289        -8.095e-01            -1.898 -2.138             -0.5160000
## 534    4.725 0.6108             0.8092000        -1.712                       
## 1673   5.888                              -1.793                    -0.8604000
## 1261   4.290                    0.6828000 -2.227        1.977 1.931 -0.5643000
## 1221   4.322                    0.9528000                     1.971 -1.0090000
## 677    3.590                    0.6322000               1.787       -0.5765000
## 1275   5.684         2.437e-01            -2.292 -1.925 2.241 1.655 -0.8652000
## 893    4.656                    0.6159000 -2.272 -1.772 2.291 1.550           
## 3094   7.200 0.9872             0.3034000        -2.215                       
## 567    4.289        -2.253e-01  0.5938000        -1.843 2.069                 
## 2263   6.756        -6.098e-01  0.4789000        -1.919       1.945 -0.5959000
## 2679   5.653        -6.238e-01  0.3317000        -2.087 2.036 1.640           
## 199    4.248        -1.629e-01  0.9910000                     1.939 -0.9633000
## 821    4.280                    0.5992000        -1.869 2.095                 
## 2507   6.733        -8.342e-01            -2.061              2.234 -0.3245000
## 2254   5.638 0.4914             0.6185000 -1.973              2.323 -0.4090000
## 905    5.734                              -1.780                    -0.8365000
## 2388   6.611 0.7350 -6.879e-01                   -2.025       1.818           
## 1661   4.665                    0.5756000 -2.285 -1.768 2.282 1.555           
## 453    4.212                    0.9934000                     1.964 -0.9742000
## 1529   5.849                              -2.297 -1.904 2.240 1.628 -0.8357000
## 3669   6.503                    0.4217000        -1.901       2.003           
## 1589   4.134                    0.5883000        -1.871 2.090                 
## 2765   5.632                    0.5566000 -1.981              2.244 -0.3570000
## 639    4.588        -3.268e-02  0.5918000 -2.274 -1.769 2.282 1.540           
## 3346   7.327 0.9769                              -2.246                       
## 3411   7.321        -5.636e-01                   -1.944       1.980           
## 551    3.431        -4.918e-01  0.7482000               1.834                 
## 493    4.136                    0.7406000 -2.206        1.995 1.920 -0.5159000
## 1148   4.829 0.7517  1.915e-01            -2.363 -1.950 2.554 1.507           
## 239    4.148        -1.429e-01  0.7299000 -2.208        1.983 1.896 -0.5115000
## 2390   5.751 0.7812             0.5886000        -1.999       1.939           
## 2803   5.975        -5.718e-01                   -2.141 2.031 1.610 -0.2807000
## 715    5.346        -2.380e-01            -1.959              1.818 -0.9122000
## 2295   5.903        -5.529e-01  0.3101000        -2.131 2.018 1.721 -0.2662000
## 714    5.151 0.1982                       -1.946              1.832 -0.9533000
## 2771   6.917        -6.321e-01                   -1.939       1.795 -0.6291000
## 1402   4.978 0.7353                       -2.365 -1.933 2.545 1.488           
## 1769   4.461                              -2.263        2.010 1.711 -0.6183000
## 2458   7.933 0.9278                       -1.804 -2.287             -0.6955000
## 2572   6.778 0.5933 -1.217e+00            -1.865                              
## 2631   5.048        -8.813e-01  0.7535000                     1.966           
## 3143   5.664        -7.176e-01  0.6777000                     2.184           
## 1068   4.685 0.7237 -3.286e-01            -2.198        2.469                 
## 2647   6.345        -7.483e-01  0.5393000        -1.840       1.841           
## 969    5.244                              -1.953              1.855 -0.9347000
## 3219   8.344        -7.174e-01                   -2.132             -0.6883000
## 2564   5.852 0.6285 -1.136e+00                                                
## 3142   5.042 0.5977             0.7133000                     2.219           
## 1642   3.810 0.5164                       -2.311        2.225 1.601           
## 516    4.555 0.3388 -5.498e-01                                                
## 781    5.015                    0.6972000 -1.775                              
## 1549   5.029                    0.6760000 -1.783                              
## 1258   4.484 0.5478                       -2.279        2.135 1.782 -0.7159000
## 2120   5.038 0.5575 -8.446e-01  0.8319000                     2.076           
## 3413   6.684                    0.4236000        -1.925       2.078           
## 2423   5.793        -5.969e-01  0.3380000        -2.117 2.057 1.719           
## 300    4.628 0.7128 -3.759e-01            -2.188        2.469                 
## 2931   5.863        -6.168e-01                   -2.128 2.073 1.600           
## 1170   6.526 0.6455                              -1.966             -1.3790000
## 2382   5.431 0.4882             0.6409000 -2.000              2.328           
## 582    3.181 0.3221             1.1260000                     1.738           
## 507    5.549         1.355e-01            -2.274 -1.929 2.258 1.616 -0.8149000
## 2893   5.464                    0.5848000 -2.002              2.247           
## 733    5.848                    0.6620000 -1.903 -1.628       1.793 -1.0060000
## 548    3.310 0.6746 -3.885e-01                          2.028                 
## 583    3.513        -3.385e-01  1.0990000                     1.720           
## 2942   5.768 1.2150             0.1458000 -2.379 -2.372 2.735 1.746           
## 2762   5.863 0.4320                       -2.005              2.150 -0.4517000
## 380    4.740 0.7372  1.062e-01            -2.345 -1.955 2.557 1.478           
## 3066   5.921 1.2090                       -2.381 -2.394 2.728 1.731 -0.1322000
## 402    6.346 0.6441                              -1.970             -1.3620000
## 2206   7.960 0.9151             0.1641000 -1.790 -2.267             -0.6715000
## 2547   6.094        -5.334e-01                   -2.172 2.044 1.685 -0.3093000
## 524    5.465 0.3017 -6.257e-01            -1.851                              
## 2558   5.895 1.2210             0.1344000 -2.375 -2.391 2.724 1.779 -0.1260000
## 134    4.883 0.5533             0.7957000                           -0.9891000
## 3618   4.376 1.0620                                     2.213                 
## 747    4.328        -1.652e-01            -2.247        2.017 1.655 -0.5645000
## 148    6.455 0.6296 -1.036e-01                   -1.959             -1.3470000
## 3103   9.111        -9.074e-01  0.0523500 -1.928 -2.102                       
## 3355   9.127        -9.004e-01            -1.933 -2.108                       
## 2814   5.876 1.2030             0.1594000 -2.368 -2.371 2.718 1.749 -0.1101000
## 175    5.051        -4.248e-01  0.5037000 -2.094        2.205       -0.4302000
## 2709   6.912                    0.2366000        -2.062             -0.6938000
## 2773   6.243                    0.4561000        -1.926       1.913 -0.6733000
## 620    3.755 0.5010 -1.957e-01            -2.294        2.218 1.549           
## 1001   4.292                              -2.244        2.028 1.681 -0.5750000
## 1322   4.556 0.7419                       -2.194        2.492                 
## 1389   4.046                    0.7892000 -2.267        2.078 1.927           
## 535    5.195        -4.132e-01  0.7560000        -1.625                       
## 3865   8.137                              -1.900 -2.081                       
## 3613   8.142                    0.0320400 -1.898 -2.077                       
## 874    3.692 0.5019                       -2.291        2.232 1.579           
## 2961   7.021                                     -2.090             -0.7293000
## 837    3.429                    1.1090000                     1.776           
## 805    3.288                    0.7374000               1.877                 
## 3266   5.837 0.5672                                           2.160 -0.6913000
## 3269   5.544                    0.5903000                     2.253 -0.5779000
## 3921   6.834                                     -1.947       1.964           
## 2223   6.313        -1.075e+00  0.1933000 -2.208        2.388        0.1816000
## 2515   7.048        -5.746e-01                   -1.978       1.893 -0.6709000
## 2567   5.778        -1.142e+00  0.5480000                                     
## 771    4.790        -5.829e-01                                                
## 1539   4.699        -5.864e-01                                                
## 1135   3.979        -1.275e-01  0.7741000 -2.265        2.065 1.898           
## 542    5.673 0.5579             0.6460000 -1.789 -1.737                       
## 437    5.273                    0.4684000        -2.024 2.042       -0.8800000
## 183    5.264        -6.481e-02  0.4642000        -2.016 2.034       -0.8784000
## 1205   5.269                    0.4532000        -2.023 2.037       -0.8902000
## 3140   5.981 0.5356 -6.938e-01                                2.089           
## 1605   3.393                    1.0790000                     1.774           
## 1573   3.170                    0.7223000               1.871                 
## 222    5.904 0.4493             0.7312000 -1.893 -1.704       1.867 -1.0990000
## 367    3.974        -2.202e-01  0.8281000 -2.247        2.070 1.883           
## 2351   6.373        -1.044e+00  0.1761000 -2.192        2.358                 
## 151    6.391        -2.077e-01  0.5784000        -1.846             -1.1610000
## 779    5.683        -6.571e-01            -1.857                              
## 2805   5.464                    0.2903000        -2.142 2.019 1.704 -0.3401000
## 675    4.103        -3.815e-01                          1.797       -0.6584000
## 2598   3.686 1.0560             0.4829000               2.176                 
## 1547   5.641        -6.341e-01            -1.859                              
## 3651   5.896        -7.503e-01                                1.987           
## 2475   6.423        -1.065e+00            -2.225        2.403        0.1581000
## 1405   5.008                    0.6194000 -2.306 -1.797 2.316 1.682           
## 3595   7.316        -1.136e+00            -1.902                              
## 2898   5.973 0.7316                              -2.027       1.789           
## 158    6.822 0.6506             0.5050000 -1.732 -1.936             -1.1250000
## 2509   5.824                    0.5523000 -1.993              2.359 -0.3913000
## 1173   6.396                    0.5462000        -1.867             -1.1970000
## 802    3.142 0.6915                                     2.060                 
## 3653   5.032                    0.6520000                     2.141           
## 1570   3.132 0.6964                                     2.058                 
## 2733   5.209                    0.1663000 -2.155        2.349        0.0566800
## 2861   5.224                    0.1558000 -2.151        2.338                 
## 405    6.321                    0.5589000        -1.869             -1.1840000
## 3267   6.309        -5.946e-01                                2.140 -0.5611000
## 1197   5.013                    0.4438000 -2.096        2.221       -0.4931000
## 135    5.364        -4.692e-01  0.7619000                           -0.9063000
## 2517   6.388                    0.4421000        -1.959       1.992 -0.7032000
## 2890   5.634 0.4286                       -2.036              2.151           
## 725    5.021                    0.7853000        -1.626       1.630 -1.1230000
## 2391   6.528        -7.084e-01  0.5449000        -1.878       1.949           
## 2985   5.295                              -2.170        2.360        0.0370200
## 1151   4.866         8.293e-02  0.5892000 -2.305 -1.806 2.314 1.680           
## 2575   6.779        -1.220e+00  0.3828000 -1.843                              
## 303    4.890        -4.854e-01  0.5853000 -2.127        2.276                 
## 236    4.283 0.5303 -6.414e-02            -2.257        2.148 1.746 -0.6656000
## 2247   5.415        -7.674e-01  0.7292000                     2.119 -0.4124000
## 490    4.256 0.5317                       -2.256        2.151 1.755 -0.6703000
## 3108   5.326 1.0840 -8.596e-01                          2.237                 
## 789    5.103                    0.7424000        -1.668                       
## 383    4.857        -5.825e-04  0.6375000 -2.289 -1.805 2.319 1.667           
## 1226   5.739 0.2108                       -1.990              2.023 -1.0730000
## 2199   7.849        -8.313e-01  0.2595000        -2.091             -0.6164000
## 2549   5.579                    0.2828000        -2.167 2.029 1.764 -0.3604000
## 1557   5.002                    0.7359000        -1.670                       
## 1071   4.847        -4.445e-01  0.5571000 -2.132        2.273                 
## 429    4.895                    0.4784000 -2.083        2.230       -0.4636000
## 3057   5.640                                     -2.179 2.042 1.669 -0.3782000
## 3017   5.967                              -2.019              2.190 -0.4296000
## 3605   6.992                    0.2346000        -2.033                       
## 2969   7.811                              -1.822 -2.101             -0.5760000
## 3174   4.069 0.9437             0.5717000               1.976 1.981           
## 1245   6.320                    0.6419000 -1.936 -1.657       1.934 -1.1010000
## 214    5.063 0.5306             0.8639000        -1.712       1.705 -1.2260000
## 166    3.569 0.8476             0.7468000               1.997       -0.6983000
## 2088   4.740 1.0830 -9.652e-01  0.5040000               2.197                 
## 2459   8.821        -9.092e-01            -1.864 -2.126             -0.4834000
## 2506   5.996 0.4537                       -2.017              2.265 -0.4880000
## 1102   4.577 0.2447             0.9854000 -1.971              2.099           
## 2326   6.601 0.9584             0.3736000        -2.201                       
## 819    4.631        -1.937e-01                   -1.890 2.128                 
## 2933   5.269                    0.3191000        -2.126 2.070 1.701           
## 1729   4.631                                                  1.694 -1.1100000
## 1913   5.126                              -2.343 -1.817 2.355 1.477           
## 1538   4.332 0.3633                                                           
## 706    4.356 0.2665                                           1.642 -1.1020000
## 2207   8.819        -9.344e-01  0.1080000 -1.855 -2.112             -0.4640000
## 770    4.301 0.3608                                                           
## 1587   4.511        -1.944e-01                   -1.891 2.124                 
## 3025   6.526                                     -1.981       1.862 -0.7398000
## 3777   5.765                                                  2.093 -0.6276000
## 929    3.972                                            1.822       -0.6841000
## 80     4.564 0.2325 -2.928e-01  1.0270000 -1.955              2.049           
## 2717   7.815                    0.0847300 -1.814 -2.090             -0.5627000
## 1076   4.442 0.9288 -1.291e-02                   -2.078 2.397                 
## 1697   3.985                                            1.815       -0.6956000
## 1330   4.439 0.9295                              -2.080 2.398                 
## 2451   7.953        -7.982e-01                   -2.122             -0.6592000
## 308    4.426 0.9268 -2.274e-02                   -2.078 2.397                 
## 1481   5.857                              -1.997              2.048 -1.0520000
## 1103   4.800        -2.372e-01  0.9706000 -1.981              2.091           
## 1227   5.837        -3.101e-02            -1.997              2.041 -1.0490000
## 543    6.151        -4.715e-01  0.6014000 -1.818 -1.648                       
## 1897   4.194                              -2.314        2.126 1.674           
## 3172   4.835 0.8976 -6.022e-01                          1.997 1.870           
## 1841   4.516                                     -1.912 2.143                 
## 1357   4.799                    0.9731000 -1.981              2.133           
## 3857   7.143                                     -2.058                       
## 1659   5.001         6.484e-02            -2.341 -1.823 2.351 1.482           
## 2691   6.217        -1.067e+00                                      -0.3995000
## 2630   4.253 0.5467             0.8102000                     2.020           
## 1643   4.154        -1.513e-01            -2.311        2.112 1.644           
## 3650   5.342 0.5318                                           2.044           
## 1195   5.420        -3.297e-01            -2.143        2.235       -0.5416000
## 335    4.773        -3.229e-01  1.0190000 -1.963              2.076           
## 2899   6.687        -7.339e-01                   -1.900       1.781           
## 707    4.549        -1.783e-01                                1.643 -1.0620000
## 3587   6.313        -1.075e+00                                                
## 2699   7.079        -1.178e+00            -1.860                    -0.2237000
## 2628   5.346 0.4769 -8.888e-01                                1.843           
## 891    4.983        -1.580e-02            -2.327 -1.824 2.358 1.453           
## 1178   7.355 0.6060                       -1.789 -1.965             -1.2430000
## 961    4.477                                                  1.671 -1.0780000
## 334    4.456 0.2329             1.0270000 -1.948              2.090           
## 875    4.131        -2.407e-01            -2.296        2.119 1.612           
## 3095   7.942        -8.564e-01  0.2554000        -2.064                       
## 427    5.353        -3.865e-01            -2.136        2.242       -0.5154000
## 1513   4.841                              -2.285        2.034 1.856 -0.6803000
## 2246   4.723 0.5664             0.7692000                     2.145 -0.5612000
## 1157   5.277                    0.7073000                           -0.9681000
## 1457   5.596                                     -2.060 2.062       -0.9787000
## 1203   5.569         1.002e-02                   -2.061 2.061       -0.9804000
## 2722   4.089 1.0140                                     2.170       -0.2344000
## 2375   5.295        -8.395e-01  0.7778000                     2.120           
## 435    5.536        -1.810e-02                   -2.061 2.065       -0.9671000
## 1259   4.758         1.744e-02            -2.282        2.029 1.854 -0.6844000
## 2827   7.022        -1.216e+00            -1.876                              
## 730    6.174 0.3761                       -1.930 -1.727       1.657 -1.1640000
## 2334   7.578 0.9109             0.1954000 -1.833 -2.232                       
## 1546   5.264 0.3342                       -1.841                              
## 389    5.181                    0.7244000                           -0.9507000
## 3481   8.871                              -1.868 -2.191             -0.6576000
## 477    6.132                    0.6911000 -1.912 -1.663       1.919 -1.0580000
## 223    6.111        -8.063e-03  0.6831000 -1.913 -1.663       1.915 -1.0600000
## 2850   3.923 1.0230                                     2.205                 
## 3229   8.996                   -0.0636800 -1.875 -2.198             -0.6666000
## 2152   4.024 0.8971 -7.534e-01  0.6922000               1.945 1.851           
## 1753   6.528                              -1.967 -1.680       1.736 -1.1630000
## 1325   4.754                    0.5292000 -2.131        2.306                 
## 2755   5.650        -8.019e-01                                1.898 -0.4624000
## 1449   5.338                              -2.137        2.251       -0.5720000
## 1793   4.528                                                                  
## 3397   5.305                    0.6642000                     2.263           
## 3473   7.972                                     -2.179             -0.8116000
## 156    7.263 0.5808 -1.911e-01            -1.780 -1.951             -1.1940000
## 778    5.162 0.3277                       -1.830                              
## 3221   7.944                    0.1199000        -2.165             -0.7942000
## 3347   8.101        -8.367e-01                   -2.091                       
## 2757   4.724                    0.6992000                     2.060 -0.5036000
## 410    7.115 0.6006                       -1.772 -1.971             -1.2180000
## 2819   6.106        -1.135e+00                                                
## 532    5.326 0.4896 -3.199e-01                   -1.721                       
## 2335   8.623        -1.001e+00  0.1437000 -1.886 -2.083                       
## 540    6.244 0.4531 -3.950e-01            -1.860 -1.730                       
## 3682   4.293 0.8956                                     2.003 1.838           
## 3395   6.173        -6.971e-01                                2.131           
## 204    5.553 0.1859 -1.474e-01            -1.965              1.974 -1.0110000
## 1171   6.807        -1.078e-01                   -1.899             -1.2970000
## 3521   5.996                                                  2.203 -0.6606000
## 2599   4.900        -1.019e+00  0.3980000               1.913                 
## 797    6.019                    0.5815000 -1.804 -1.697                       
## 1425   6.750                                     -1.910             -1.3100000
## 2837   6.538                    0.3014000        -2.018                       
## 458    5.449 0.1948                       -1.961              1.991 -1.0260000
## 1565   6.010                    0.5649000 -1.809 -1.696                       
## 2901   5.886                    0.5231000        -1.883       1.918           
## 403    6.700        -1.375e-01                   -1.900             -1.2810000
## 1801   5.455                              -1.846                              
## 1386   4.175 0.5052                       -2.340        2.261 1.758           
## 3298   4.640 0.9078                                     1.964 1.937 -0.3425000
## 2244   5.730 0.4985 -7.516e-01                                2.005 -0.5395000
## 803    3.823        -4.565e-01                          1.900                 
## 459    5.626        -1.518e-01            -1.972              1.994 -0.9940000
## 2212   5.093 1.0390 -9.341e-01                          2.209       -0.1409000
## 2340   4.978 1.0470 -9.400e-01                          2.229                 
## 1132   4.121 0.5106 -3.040e-02            -2.338        2.256 1.748           
## 3636   6.083 1.3940 -6.813e-01                   -2.430 2.535                 
## 1237   5.414                    0.7846000        -1.660       1.770 -1.2080000
## 1571   3.699        -4.534e-01                          1.895                 
## 1554   5.202 0.5057                              -1.755                       
## 786    5.196 0.5052                              -1.755                       
## 1242   6.687 0.3907                       -1.968 -1.754       1.811 -1.2680000
## 3619   5.327        -9.511e-01                          1.948                 
## 3394   5.552 0.5432                                           2.161           
## 2845   7.513                    0.1256000 -1.849 -2.057                       
## 731    6.324        -2.264e-02            -1.945 -1.687       1.700 -1.1230000
## 985    6.322                              -1.944 -1.689       1.703 -1.1250000
## 491    4.614        -9.901e-02            -2.263        2.046 1.812 -0.6301000
## 2327   7.595        -9.274e-01  0.3204000        -2.050                       
## 40     3.335 0.8069 -3.729e-01  0.8690000               2.067                 
## 469    5.325                    0.8188000        -1.663       1.765 -1.1790000
## 132    5.567 0.4396 -3.740e-01                                      -1.0960000
## 215    5.276         4.625e-02  0.8046000        -1.669       1.766 -1.1890000
## 1323   5.197        -3.937e-01            -2.192        2.331                 
## 1562   6.148 0.4776                       -1.855 -1.769                       
## 159    7.247        -2.775e-01  0.4487000 -1.764 -1.854             -1.0410000
## 3963   7.421        -5.039e-01            -2.464 -2.194 2.451 1.944           
## 2883   5.508        -8.771e-01                                1.886           
## 1181   7.307                    0.3957000 -1.770 -1.882             -1.0980000
## 246    4.004 0.8671             0.7655000        -1.922 1.987 1.423 -0.9618000
## 3711   7.397        -4.894e-01 -0.0506000 -2.468 -2.202 2.454 1.939           
## 3835   7.376        -4.819e-01            -2.458 -2.198 2.439 1.945 -0.0530800
## 3579   7.498        -4.795e-01            -2.464 -2.208 2.448 1.975 -0.0598300
## 3455   7.507        -4.880e-01 -0.0391500 -2.473 -2.210 2.464 1.970           
## 794    6.073 0.4731                       -1.847 -1.772                       
## 3327   7.486        -4.646e-01 -0.0593300 -2.467 -2.216 2.450 1.968 -0.0703900
## 3245   6.285                    0.0384600 -2.219        2.413       -0.0303700
## 72     3.601 0.3092 -2.488e-01  1.1820000                     1.887           
## 3373   6.265                    0.0401300 -2.221        2.418                 
## 3497   6.306                              -2.223        2.415       -0.0349700
## 2660   4.260 0.8349 -7.897e-01                          1.972 1.652           
## 3647   7.833        -7.719e-01 -0.2189000 -2.313 -2.327 2.630                 
## 1403   5.309         1.274e-01            -2.365 -1.861 2.391 1.612           
## 3426   4.471 0.9059                                     2.021 1.932           
## 2374   4.452 0.5577             0.8142000                     2.152           
## 1154   5.536 0.4696                                                 -1.1540000
## 3905   5.513                                                  2.084           
## 1094   3.550 0.3176             1.1580000                     1.924           
## 2885   4.492                    0.7506000                     2.061           
## 8      4.614 0.4799 -5.352e-01  0.9737000                                     
## 722    5.395 0.4456                              -1.743       1.466 -1.3140000
## 326    3.527 0.3075             1.1860000                     1.925           
## 364    4.028 0.4929 -1.281e-01            -2.317        2.259 1.717           
## 413    7.142                    0.4208000 -1.755 -1.885             -1.0730000
## 2851   5.147        -1.019e+00                          1.950                 
## 2723   5.142        -1.003e+00                          1.939       -0.0557500
## 3899   7.719        -7.960e-01            -2.289 -2.299 2.606                 
## 142    5.719 0.4940             0.6573000 -1.719                    -0.8731000
## 143    6.212        -5.399e-01  0.6339000 -1.754                    -0.7855000
## 2662   3.330 0.8892             0.6731000               1.954 1.806           
## 2754   5.020 0.4941                                           1.943 -0.6226000
## 1611   5.073        -2.606e-01            -2.034              1.795           
## 3771   7.646        -7.919e-01            -2.291 -2.298 2.610        0.0397400
## 386    5.326 0.4662                                                 -1.1320000
## 294    3.180 0.8200             0.8532000               2.098                 
## 1062   3.168 0.8240             0.8422000               2.095                 
## 327    3.857        -2.834e-01  1.1670000                     1.921           
## 795    6.514        -4.360e-01            -1.869 -1.690                       
## 3110   4.567 1.1330             0.3943000               2.257                 
## 2566   4.777 0.6920             0.6123000                                     
## 1563   6.481        -4.171e-01            -1.870 -1.691                       
## 1825   3.596                                            1.929                 
## 1243   6.770         1.677e-01            -1.979 -1.729       1.881 -1.2460000
## 1555   5.528        -3.706e-01                   -1.679                       
## 787    5.610        -3.629e-01                   -1.678                       
## 1218   4.884 0.2750                                           1.831 -1.2170000
## 1095   3.805        -2.340e-01  1.1350000                     1.922           
## 1610   4.911 0.1371                       -2.029              1.823           
## 2501   4.942                    0.7015000                     2.186 -0.5414000
## 1865   5.034                              -2.034              1.842           
## 1497   6.857                              -1.982 -1.715       1.860 -1.2260000
## 588    4.905 0.1190 -3.257e-01            -2.013              1.749           
## 1349   3.802                    1.1370000                     1.963           
## 843    5.011        -3.431e-01            -2.017              1.762           
## 1179   7.645        -1.711e-01            -1.807 -1.896             -1.1580000
## 2372   5.531 0.4893 -8.240e-01                                2.000           
## 220    6.430 0.3771  6.870e-02            -1.940 -1.773       1.791 -1.2330000
## 474    6.433 0.3784                       -1.942 -1.767       1.781 -1.2280000
## 1155   5.854        -3.598e-01                                      -1.0710000
## 2690   5.395 0.6533                                                 -0.6119000
## 1433   7.578                              -1.802 -1.913             -1.1770000
## 3586   5.559 0.6767                                                           
## 3234   4.989 1.1060                                     2.231       -0.3129000
## 2453   7.370                    0.1978000        -2.152             -0.7653000
## 387    5.756        -3.914e-01                                      -1.0550000
## 3594   6.523 0.6522                       -1.866                              
## 2499   5.855        -7.343e-01                                2.048 -0.5170000
## 164    4.160 0.7465 -2.485e-01                          2.002       -0.8061000
## 1473   5.010                                                  1.861 -1.1910000
## 1219   4.992         3.167e-03                                1.860 -1.1910000
## 3357   8.638                    0.0017650 -1.911 -2.159                       
## 1186   4.146 0.7688                                     2.011       -0.8460000
## 411    7.497        -2.232e-01            -1.796 -1.896             -1.1320000
## 2616   5.603 1.3600 -7.906e-01  0.2402000        -2.382 2.500                 
## 1387   4.506        -7.297e-02            -2.341        2.155 1.815           
## 3762   5.949 1.4260                              -2.497 2.520       -0.3965000
## 311    4.788        -1.727e-01  0.6236000        -1.931 2.153                 
## 2740   5.851 1.3460 -7.437e-01                   -2.420 2.485       -0.2444000
## 1809   5.446                                     -1.715                       
## 1745   5.687                                     -1.693       1.539 -1.2950000
## 842    4.754 0.1246                       -2.007              1.798           
## 3837   7.255                   -0.0840800 -2.457 -2.241 2.456 1.998 -0.1488000
## 3581   7.316                   -0.0779300 -2.459 -2.245 2.461 2.014 -0.1515000
## 1079   4.676        -1.701e-01  0.6146000        -1.933 2.149                 
## 3252   6.545 1.4400 -5.772e-01                   -2.518 2.545       -0.3367000
## 4089   7.216                              -2.450 -2.230 2.450 2.007 -0.1377000
## 418    4.008 0.7639                                     2.015       -0.8270000
## 196    4.737 0.2566 -8.039e-02                                1.800 -1.1720000
## 1333   4.688                    0.6098000        -1.951 2.167                 
## 450    4.666 0.2636                                           1.809 -1.1810000
## 3362   4.784 1.1090                                     2.280                 
## 3965   7.200                   -0.0611600 -2.468 -2.233 2.482 1.999           
## 1817   6.390                              -1.862 -1.731                       
## 1409   5.707                                                        -1.1080000
## 1165   6.170                    0.5595000 -1.753                    -0.8683000
## 2868   5.708 1.3500 -7.696e-01                   -2.410 2.519                 
## 606    5.037 0.3793             0.8627000 -1.939 -1.557       1.736           
## 2278   3.636 0.8960             0.6661000               1.940 1.919 -0.2312000
## 263    4.961        -5.722e-01  0.9236000                                     
## 723    5.542         3.861e-02                   -1.702       1.525 -1.2730000
## 977    5.565                                     -1.699       1.519 -1.2680000
## 2056   6.004 0.7197 -1.099e+00  0.6381000                                     
## 1031   4.867        -5.724e-01  0.9176000                                     
## 614    2.258 0.6251             1.0190000               1.809 1.523           
## 1030   4.404 0.4985             0.9360000                                     
## 3084   7.694 0.6710 -1.061e+00            -1.905                              
## 262    4.374 0.4964             0.9430000                                     
## 2276   4.530 0.8426 -7.177e-01                          1.969 1.788 -0.1963000
## 167    4.267        -3.625e-01  0.6746000               1.828       -0.6312000
## 2406   3.491 0.9015             0.6764000               1.976 1.916           
## 451    4.834        -8.617e-02                                1.826 -1.1490000
## 24     5.389 0.6174 -3.023e-01  0.8561000        -1.767                       
## 741    3.070                    0.8587000               1.587 1.626 -0.6657000
## 3128   6.320 1.4400 -6.431e-01  0.1371000        -2.487 2.584                 
## 140    6.382 0.3914 -4.608e-01            -1.789                    -0.9428000
## 754    4.284 0.7959                              -1.952 2.010 1.207 -1.0360000
## 475    6.561         5.405e-02            -1.955 -1.734       1.834 -1.1940000
## 3175   4.879        -6.329e-01  0.5216000               1.760 2.004           
## 3009   5.145                                                  1.986 -0.5984000
## 397    5.983                    0.5892000 -1.737                    -0.8389000
## 2498   5.174 0.5164                                           2.069 -0.6637000
## 230    2.956 0.6468             0.9550000               1.729 1.703 -0.7509000
## 2404   4.411 0.8489 -7.357e-01                          1.999 1.782           
## 3380   6.372 1.4370 -6.272e-01                   -2.503 2.594                 
## 3638   5.660 1.4240             0.1199000        -2.468 2.572                 
## 3890   5.706 1.4230                              -2.482 2.580                 
## 1234   5.855 0.4566                              -1.777       1.619 -1.4130000
## 3713   6.026                                                        -0.5964000
## 3349   7.508                    0.2066000        -2.118                       
## 1162   6.365 0.4302                       -1.789                    -1.0180000
## 2882   4.719 0.4839                                           1.939           
## 2693   5.332                    0.4802000                           -0.5128000
## 2461   8.262                    0.0406400 -1.821 -2.180             -0.6341000
## 1046   5.274 0.6296             0.8353000        -1.798                       
## 278    5.272 0.6288             0.8375000        -1.798                       
## 1629   5.335                    0.7996000 -1.968 -1.521       1.791           
## 607    5.311        -1.960e-01  0.8261000 -1.957 -1.508       1.751           
## 3683   5.023        -6.609e-01                          1.787 1.839           
## 861    5.288                    0.8358000 -1.952 -1.525       1.782           
## 2663   4.309        -7.904e-01  0.6010000               1.737 1.809           
## 16     5.573 0.4232 -5.978e-01  0.8158000 -1.785                              
## 1189   4.170                    0.6353000               1.845       -0.6728000
## 421    4.145                    0.6548000               1.852       -0.6576000
## 1163   6.696        -4.227e-01            -1.811                    -0.9318000
## 3076   6.693 0.6975 -9.979e-01                                                
## 2214   4.239 1.0910             0.4679000               2.213       -0.2326000
## 2751   7.347        -8.946e-01 -0.1041000 -2.271 -2.292 2.618        0.0636800
## 2879   7.373        -8.840e-01 -0.1101000 -2.266 -2.296 2.608                 
## 3589   5.447                    0.4684000                                     
## 212    5.638 0.4497  1.380e-01                   -1.799       1.617 -1.3950000
## 2818   5.093 0.6440                                                           
## 3003   7.282        -9.024e-01            -2.262 -2.279 2.609        0.0776300
## 2342   4.064 1.1010             0.4687000               2.247                 
## 2574   5.726 0.6408             0.4460000 -1.785                              
## 466    5.668 0.4485                              -1.786       1.598 -1.3840000
## 2180   6.537 0.6740 -1.003e+00                                      -0.5241000
## 2064   7.019 0.6672 -1.177e+00  0.4685000 -1.829                              
## 630    3.166 0.8250             0.8749000        -1.802 2.084 1.282           
## 2698   6.185 0.6130                       -1.794                    -0.4580000
## 395    6.555        -4.768e-01            -1.799                    -0.9053000
## 3721   6.911                              -1.846                    -0.4446000
## 394    6.093 0.4225                       -1.770                    -0.9877000
## 3263   8.242        -7.169e-01 -0.2445000 -2.327 -2.401 2.683       -0.0439500
## 3391   8.238        -7.278e-01 -0.2364000 -2.331 -2.398 2.690                 
## 3685   4.327                    0.4985000               1.768 1.969           
## 2786   3.879 0.8371                                     1.961 1.740 -0.2803000
## 3506   6.212 1.4670                              -2.560 2.562       -0.4344000
## 3254   6.238 1.4620             0.0605000        -2.553 2.562       -0.4253000
## 702    4.996 1.0140             0.3852000 -2.121 -2.091 2.563       -0.6729000
## 598    4.082 0.4543             1.0160000        -1.549       1.560           
## 1285   4.711                    0.8732000                                     
## 2477   5.664                    0.1473000 -2.167        2.407       -0.0008763
## 757    4.224                    0.6667000        -1.791 1.792 1.420 -0.8665000
## 1235   5.944         2.038e-01                   -1.749       1.700 -1.3890000
## 3515   8.076        -7.424e-01            -2.303 -2.371 2.662       -0.0094940
## 2914   3.695 0.8454                                     2.005 1.734           
## 1417   6.532                              -1.799                    -0.9756000
## 3299   5.318        -5.734e-01                          1.771 1.966 -0.2334000
## 3597   6.534                    0.2760000 -1.848                              
## 1489   6.027                                     -1.732       1.673 -1.3650000
## 3773   7.568                   -0.2699000 -2.295 -2.391 2.659       -0.1321000
## 244    4.421 0.8111  2.534e-01                   -2.017 2.045 1.353 -1.1160000
## 271    5.882        -6.297e-01  0.7695000 -1.798                              
## 1266   4.663 0.8054                              -1.984 2.020 1.339 -1.1180000
## 3621   4.623                    0.3134000               1.974                 
## 2945   5.594                                                        -0.5788000
## 2466   4.447 1.0660                                     2.228       -0.2924000
## 2821   5.088                    0.5286000                                     
## 2188   7.410 0.6319 -1.113e+00            -1.845                    -0.3476000
## 1039   5.858        -6.024e-01  0.7511000 -1.802                              
## 3301   4.672                    0.4748000               1.743 2.070 -0.2682000
## 3901   7.498                   -0.2558000 -2.306 -2.384 2.681                 
## 32     6.366 0.5615 -3.632e-01  0.6953000 -1.804 -1.785                       
## 3427   5.283        -6.212e-01                          1.812 1.960           
## 295    3.982        -4.415e-01  0.7918000               1.922                 
## 2826   5.949 0.6101                       -1.825                              
## 1331   5.025        -1.018e-01                   -1.982 2.208                 
## 1063   3.861        -4.346e-01  0.7797000               1.918                 
## 2232   6.048 1.3970 -7.100e-01  0.2087000        -2.475 2.529       -0.2660000
## 3745   4.953                                            1.961       -0.2370000
## 3841   5.763                                                                  
## 869    2.737                    0.9788000               1.694 1.603           
## 1118   5.436 0.3796             0.8727000 -1.972 -1.585       1.893           
## 3849   6.728                              -1.875                              
## 498    4.546 0.7978                              -1.992 2.031 1.325 -1.0930000
## 2308   6.322 0.6673 -1.068e+00                                                
## 615    2.762        -2.373e-01  0.9612000               1.673 1.563           
## 3429   4.574                    0.5136000               1.788 2.073           
## 467    5.786         1.213e-01                   -1.752       1.667 -1.3500000
## 2484   6.098 1.3950 -6.752e-01                   -2.501 2.538       -0.3004000
## 1722   5.370 0.9802                       -2.163 -2.117 2.578       -0.7569000
## 2316   7.248 0.6316 -1.150e+00            -1.870                              
## 4025   7.349                              -2.268 -2.357 2.634       -0.0983300
## 2994   5.389 1.3790                              -2.480 2.511       -0.3716000
## 3382   5.949 1.4640             0.0938600        -2.535 2.625                 
## 2183   6.482        -1.026e+00  0.5128000                           -0.4168000
## 2742   5.333 1.3770             0.1881000        -2.456 2.504       -0.3437000
## 1038   5.402 0.4475             0.7620000 -1.781                              
## 3809   4.820                                            1.764 1.931 -0.3018000
## 3211   8.026        -1.009e+00            -1.890                    -0.3460000
## 580    3.987 0.1796 -2.776e-01                                1.552           
## 3079   6.599        -1.030e+00  0.4973000                                     
## 2360   5.876 1.4040 -7.350e-01  0.2174000        -2.464 2.566                 
## 3087   7.717        -1.083e+00  0.3031000 -1.885                              
## 3873   4.850                                            2.001                 
## 700    5.295 0.9661 -8.567e-02            -2.157 -2.109 2.576       -0.7289000
## 1100   5.334 0.1208 -1.488e-01            -2.057              1.978           
## 954    5.276 0.9698                       -2.154 -2.120 2.584       -0.7354000
## 2279   4.548        -7.332e-01  0.6070000               1.746 1.942 -0.1096000
## 96     5.357 0.3720 -1.119e-01  0.9019000 -1.956 -1.582       1.868           
## 1054   6.295 0.5795             0.6579000 -1.804 -1.819                       
## 350    5.343 0.3702             0.9070000 -1.953 -1.592       1.885           
## 1355   5.440        -1.620e-01            -2.061              1.993           
## 1637   2.666                    0.9470000               1.686 1.598           
## 279    5.784        -3.469e-01  0.7879000        -1.719                       
## 2407   4.530        -7.582e-01  0.6258000               1.764 1.941           
## 1047   5.701        -3.518e-01  0.7854000        -1.721                       
## 1603   4.119        -2.525e-01                                1.585           
## 1354   5.301 0.1223                       -2.056              2.002           
## 2530   4.015 0.8573                                     1.975 1.849 -0.3135000
## 835    4.123        -2.972e-01                                1.571           
## 3203   7.088        -9.162e-01                                      -0.5181000
## 270    5.284 0.4435             0.7801000 -1.768                              
## 1602   3.937 0.1921                                           1.606           
## 853    4.374                    0.9846000        -1.510       1.614           
## 286    6.206 0.5769             0.6707000 -1.794 -1.822                       
## 599    4.368        -1.596e-01  0.9703000        -1.496       1.586           
## 1253   3.453                    0.8674000               1.597 1.787 -0.7490000
## 1060   3.790 0.7037 -2.941e-01                          2.118                 
## 292    3.776 0.6999 -3.099e-01                          2.119                 
## 2725   4.363                    0.3665000               1.944       -0.1727000
## 485    3.398                    0.9082000               1.612 1.784 -0.7168000
## 834    3.866 0.1835                                           1.594           
## 1857   4.072                                                  1.631           
## 1621   4.315                    0.9604000        -1.511       1.609           
## 1187   4.663        -2.727e-01                          1.861       -0.7677000
## 2870   5.095 1.3850             0.2007000        -2.444 2.554                 
## 3937   4.704                                            1.817 1.923           
## 738    3.279 0.5533                                     1.753 1.434 -0.8378000
## 231    3.386        -9.671e-02  0.8940000               1.602 1.766 -0.7172000
## 419    4.631        -3.030e-01                          1.866       -0.7534000
## 2853   4.274                    0.3826000               1.971                 
## 2701   6.198                    0.3343000 -1.782                    -0.3817000
## 1317   3.770                    0.7519000               1.950                 
## 3202   6.417 0.7389                                                 -0.7117000
## 3111   5.622        -9.051e-01  0.3374000               1.992                 
## 3339   7.931        -1.068e+00            -1.914                              
## 2787   4.713        -7.647e-01                          1.772 1.746 -0.1432000
## 1373   5.704                    0.8445000 -1.987 -1.553       1.942           
## 358    2.581 0.6145             1.0770000               1.842 1.692           
## 2915   4.671        -7.906e-01                          1.796 1.740           
## 1301   5.631                    0.7575000        -1.754                       
## 104    2.587 0.6186 -1.383e-01  1.0650000               1.830 1.668           
## 1119   5.645        -6.814e-02  0.8323000 -1.987 -1.548       1.924           
## 1126   2.571 0.6249             1.0480000               1.836 1.689           
## 1314   3.660 0.7215                                     2.139                 
## 2311   6.341        -1.093e+00  0.5551000                                     
## 1441   4.584                                            1.874       -0.7927000
## 501    4.518                    0.7056000        -1.827 1.817 1.542 -0.9096000
## 332    5.208 0.1058 -2.416e-01            -2.035              1.945           
## 247    4.404         1.431e-01  0.6751000        -1.842 1.818 1.552 -0.9327000
## 1269   4.541                    0.6716000        -1.824 1.804 1.543 -0.9347000
## 3553   5.048                                            1.778 2.028 -0.3282000
## 351    5.613        -1.452e-01  0.8749000 -1.970 -1.549       1.910           
## 374    3.461 0.8191             0.9233000        -1.838 2.118 1.419           
## 120    3.350 0.8307  9.050e-02  0.9004000        -1.848 2.121 1.421           
## 1142   3.418 0.8278             0.9015000        -1.837 2.113 1.414           
## 2953   6.371                              -1.808                    -0.4258000
## 3235   5.899        -8.628e-01                          1.997       -0.1526000
## 2977   4.569                                            1.966       -0.2187000
## 2829   6.013                    0.3611000 -1.805                              
## 1293   5.685                    0.7044000 -1.794                              
## 3363   5.863        -8.915e-01                          2.023                 
## 2191   7.427        -1.130e+00  0.3658000 -1.831                    -0.2645000
## 2789   3.905                    0.5797000               1.741 1.894 -0.1998000
## 3078   5.767 0.7571             0.5342000                                     
## 2435   6.746        -9.903e-01                                      -0.4922000
## 2215   5.399        -9.629e-01  0.3950000               1.979       -0.0731900
## 3331   6.924        -1.004e+00                                                
## 2343   5.378        -9.771e-01  0.4049000               1.990                 
## 576    4.647 0.9723 -1.950e-01  0.4913000 -2.174 -2.005 2.636                 
## 2182   5.583 0.7349             0.5604000                           -0.6157000
## 3210   7.300 0.7074                       -1.842                    -0.5574000
## 2815   6.748        -6.739e-01  0.0981700 -2.392 -2.163 2.438 1.813  0.0227900
## 287    6.727        -4.022e-01  0.6301000 -1.821 -1.742                       
## 2943   6.756        -6.696e-01  0.0956400 -2.390 -2.165 2.434 1.813           
## 830    4.615 0.9774             0.4916000 -2.170 -2.028 2.658                 
## 1055   6.714        -3.793e-01  0.6151000 -1.824 -1.743                       
## 2319   7.329        -1.168e+00  0.3855000 -1.849                              
## 2917   3.809                    0.6009000               1.774 1.891           
## 3184   5.571 0.9335 -6.408e-01  0.3265000 -2.399        2.332 2.100           
## 3067   6.813        -6.685e-01            -2.400 -2.176 2.448 1.802  0.0102000
## 1598   4.603 0.9849             0.4717000 -2.175 -2.027 2.655                 
## 3692   5.667 0.9039 -6.623e-01            -2.418        2.344 1.993           
## 3517   7.946                   -0.2958000 -2.309 -2.455 2.703       -0.1726000
## 1028   5.160 0.3546 -4.519e-01                                                
## 260    5.112 0.3543 -4.609e-01                                                
## 1777   4.742                                     -1.853 1.834 1.334 -0.9999000
## 2495   7.717        -8.395e-01 -0.1267000 -2.281 -2.373 2.673        0.0076030
## 342    4.409 0.4444             1.0670000        -1.586       1.719           
## 1110   4.408 0.4525             1.0450000        -1.584       1.718           
## 755    4.599         1.349e-01                   -1.871 1.849 1.340 -0.9957000
## 1626   5.747 0.2861                       -2.024 -1.605       1.648           
## 88     4.392 0.4486 -6.800e-02  1.0570000        -1.580       1.706           
## 1009   4.696                                     -1.858 1.847 1.321 -0.9781000
## 2559   6.853        -6.478e-01  0.0965300 -2.399 -2.187 2.451 1.871  0.0023680
## 2443   7.610        -1.101e+00            -1.859                    -0.3165000
## 2486   5.599 1.4240             0.1490000        -2.532 2.552       -0.3918000
## 1761   3.700                                            1.633 1.525 -0.8319000
## 276    5.835 0.5133 -2.266e-01                   -1.821                       
## 1044   5.888 0.5116 -2.237e-01                   -1.820                       
## 1036   6.112 0.3225 -5.034e-01            -1.865                              
## 1309   6.632                    0.5846000 -1.820 -1.779                       
## 604    5.672 0.2739 -1.365e-01            -2.008 -1.601       1.607           
## 3436   5.853 0.9073 -6.348e-01            -2.433        2.364 2.078           
## 739    3.626        -1.120e-01                          1.639 1.489 -0.7970000
## 3308   5.806 0.9103 -6.370e-01            -2.437        2.371 2.076  0.0432500
## 993    3.612                                            1.648 1.507 -0.8030000
## 2467   5.615        -9.416e-01                          2.003       -0.1254000
## 268    6.023 0.3168 -5.380e-01            -1.856                              
## 858    5.623 0.2764                       -2.005 -1.614       1.626           
## 1298   5.766 0.5283                              -1.841                       
## 1052   6.848 0.4800 -2.745e-01            -1.873 -1.828                       
## 2531   4.917        -7.119e-01                          1.792 1.879 -0.1869000
## 3086   6.854 0.7143             0.3382000 -1.846                              
## 1881   5.923                              -2.033 -1.579       1.687           
## 1283   5.339        -4.735e-01                                                
## 1627   5.893        -8.487e-02            -2.032 -1.573       1.670           
## 3628   5.840 1.0750 -9.677e-01            -2.238        2.524                 
## 284    6.753 0.4764 -3.030e-01            -1.864 -1.829                       
## 1282   4.938 0.3807                                                           
## 1306   6.714 0.4987                       -1.866 -1.853                       
## 859    5.832        -1.590e-01            -2.017 -1.574       1.639           
## 2533   4.108                    0.5874000               1.758 2.006 -0.2295000
## 2434   5.834 0.7035                                                 -0.6907000
## 3330   6.066 0.7209                                                           
## 359    3.086        -1.937e-01  1.0270000               1.713 1.743           
## 1291   6.289        -5.252e-01            -1.871                              
## 885    3.718                    0.8209000        -1.715 1.918 1.396           
## 1381   3.060                    1.0040000               1.720 1.773           
## 1250   3.747 0.5605                                     1.760 1.609 -0.9399000
## 3338   7.029 0.6945                       -1.878                              
## 3005   6.882                   -0.1521000 -2.240 -2.363 2.645       -0.0956000
## 3205   6.368                    0.3880000                           -0.6178000
## 2310   5.257 0.7311             0.5985000                                     
## 3292   8.298 0.7659 -4.862e-01            -2.091 -2.070       2.128 -0.5801000
## 828    4.969 0.9098 -1.699e-01            -2.222 -2.038 2.679                 
## 1596   4.955 0.9207 -1.348e-01            -2.227 -2.040 2.678                 
## 1127   3.008        -1.429e-01  0.9917000               1.707 1.743           
## 1365   4.701                    1.0090000        -1.546       1.773           
## 343    4.689        -1.065e-01  1.0250000        -1.540       1.755           
## 1850   4.961 0.9255                       -2.226 -2.055 2.693                 
## 1214   5.552 1.0480             0.3661000 -2.142 -2.166 2.617       -0.7711000
## 1111   4.643        -6.562e-02  0.9975000        -1.541       1.756           
## 1653   3.616                    0.7945000        -1.716 1.911 1.388           
## 631    3.636        -1.804e-02  0.7938000        -1.714 1.909 1.387           
## 1315   4.270        -3.541e-01                          1.984                 
## 1267   4.933         2.717e-01                   -1.914 1.861 1.489 -1.0920000
## 1290   5.874 0.3503                       -1.853                              
## 192    5.440 1.0390 -4.834e-02  0.3946000 -2.131 -2.163 2.619       -0.7415000
## 446    5.428 1.0410             0.3927000 -2.129 -2.169 2.623       -0.7453000
## 3694   5.078 0.9329             0.3064000 -2.383        2.344 2.099           
## 228    3.588 0.5497 -3.390e-03                          1.773 1.591 -0.9063000
## 482    3.585 0.5499                                     1.773 1.591 -0.9066000
## 3041   4.251                                            1.783 1.829 -0.2702000
## 1521   5.082                                     -1.891 1.856 1.456 -1.0600000
## 882    3.724 0.7321                              -1.868 2.157 1.157           
## 628    3.644 0.7413  7.688e-02                   -1.876 2.160 1.165           
## 1650   3.716 0.7395                              -1.865 2.153 1.160           
## 499    4.841         1.981e-01                   -1.917 1.874 1.463 -1.0560000
## 3457   6.597                                                        -0.6718000
## 3316   6.063 1.2550 -3.575e-01                   -2.356 2.304 1.636 -0.3901000
## 1299   6.123        -2.593e-01                   -1.777                       
## 3438   5.235 0.9363             0.3128000 -2.395        2.359 2.167           
## 3310   5.231 0.9387             0.3057000 -2.393        2.353 2.165 -0.0289600
## 1307   7.083        -3.100e-01            -1.881 -1.787                       
## 612    2.910 0.5089 -1.624e-01                          1.870 1.360           
## 1634   2.895 0.5185                                     1.877 1.394           
## 1212   5.810 1.0140  5.465e-02            -2.174 -2.199 2.639       -0.8428000
## 3192   5.693 1.2630 -4.395e-01  0.2981000        -2.304 2.335 1.654           
## 1466   5.839 1.0090                       -2.175 -2.193 2.636       -0.8364000
## 3294   7.883 0.7881             0.2024000 -2.062 -2.077       2.192 -0.6371000
## 3818   5.337 0.9121                       -2.411        2.364 2.076 -0.0472000
## 3946   5.327 0.9102                       -2.415        2.373 2.076           
## 866    2.864 0.5089                                     1.883 1.385           
## 3318   5.694 1.2750             0.2358000        -2.350 2.294 1.694 -0.4194000
## 1092   4.372 0.1762 -1.283e-01                                1.779           
## 2608   5.322 1.0470 -1.077e+00  0.2726000 -2.177        2.484                 
## 3237   5.290                    0.2744000               2.000       -0.2587000
## 3802   7.976 0.7708                       -2.074 -2.086       2.139 -0.6530000
## 1346   4.331 0.1788                                           1.798           
## 3069   6.379                    0.0689000 -2.373 -2.212 2.452 1.878 -0.0974400
## 3546   8.021 0.7809                       -2.078 -2.100       2.173 -0.6652000
## 1347   4.485        -1.411e-01                                1.798           
## 3826   5.824 1.2580                              -2.367 2.305 1.643 -0.4414000
## 3168   7.899 0.7571 -6.052e-01  0.2963000 -2.105 -2.002       2.149           
## 324    4.296 0.1668 -1.861e-01                                1.759           
## 2190   6.463 0.6804             0.4103000 -1.762                    -0.4839000
## 3700   5.828 1.2400 -4.471e-01                   -2.320 2.351 1.579           
## 2732   5.436 1.0190 -1.107e+00            -2.224        2.543        0.2061000
## 3570   5.860 1.2670                              -2.379 2.310 1.669 -0.4508000
## 3213   7.375                    0.2123000 -1.835                    -0.4903000
## 444    5.678 1.0010 -5.561e-03            -2.163 -2.198 2.641       -0.8125000
## 3365   5.152                    0.3006000               2.041                 
## 3562   5.484 0.9177                       -2.421        2.376 2.142 -0.0640000
## 3676   8.018 0.7298 -6.203e-01            -2.123 -2.011       2.063           
## 2437   5.872                    0.4592000                           -0.5925000
## 3489   5.469                                            2.015       -0.2941000
## 3465   7.482                              -1.853                    -0.5183000
## 3444   5.907 1.2490 -4.235e-01                   -2.339 2.364 1.625           
## 2860   5.484 1.0240 -1.069e+00            -2.204        2.507                 
## 1370   6.103 0.2767                       -2.047 -1.642       1.799           
## 1116   6.066 0.2806  2.508e-02            -2.046 -1.644       1.800           
## 3333   6.058                    0.4523000                                     
## 1505   4.085                                            1.654 1.684 -0.9048000
## 2442   6.621 0.6636                       -1.796                    -0.5365000
## 1251   4.016         4.658e-02                          1.651 1.687 -0.9110000
## 3702   5.383 1.2650             0.2819000        -2.317 2.348 1.660           
## 3420   8.133 0.7379 -5.902e-01            -2.132 -2.034       2.127           
## 694    4.181 1.0250             0.5692000        -2.040 2.172       -0.8642000
## 3446   5.454 1.2710             0.2789000        -2.331 2.357 1.694           
## 1371   6.226         3.555e-03            -2.055 -1.617       1.834           
## 2318   6.195 0.6815             0.4272000 -1.794                              
## 1397   3.980                    0.8425000        -1.750 1.946 1.532           
## 375    3.928         2.021e-02  0.8457000        -1.755 1.948 1.530           
## 483    3.915        -3.530e-02                          1.666 1.659 -0.8714000
## 348    5.941 0.2688 -5.665e-02            -2.026 -1.649       1.769           
## 1618   4.779 0.3416                              -1.612       1.431           
## 596    4.760 0.3350 -8.786e-02                   -1.607       1.410           
## 850    4.736 0.3355                              -1.615       1.423           
## 867    3.285        -2.064e-01                          1.769 1.424           
## 1143   3.854         6.155e-02  0.8156000        -1.756 1.943 1.529           
## 3954   5.581 1.2530                              -2.350 2.375 1.631           
## 2672   4.863 0.8735 -8.425e-01  0.4554000 -2.312        2.288 1.899           
## 1889   3.260                                            1.775 1.466           
## 1635   3.243        -1.603e-01                          1.762 1.436           
## 3341   7.132                    0.2573000 -1.863                              
## 560    3.826 0.7671 -4.946e-01  0.6401000 -2.110        2.331                 
## 2469   4.835                    0.3520000               2.002       -0.2324000
## 686    3.839 0.8049             0.5552000 -2.068        2.307       -0.4208000
## 703    5.644        -1.994e-01  0.2897000 -2.131 -1.969 2.361       -0.5940000
## 1873   4.962                                     -1.581       1.475           
## 1619   4.941        -7.651e-02                   -1.575       1.460           
## 1140   3.923 0.7498  1.929e-01                   -1.921 2.197 1.321           
## 851    4.944        -1.130e-01                   -1.575       1.449           
## 957    5.628                    0.2891000 -2.126 -1.993 2.380       -0.6063000
## 3678   7.479 0.7569             0.2772000 -2.091 -2.018       2.162           
## 1725   5.654                    0.2591000 -2.133 -1.993 2.372       -0.6286000
## 1394   4.048 0.7358                              -1.905 2.187 1.301           
## 372    3.882 0.7420  1.475e-01                   -1.924 2.201 1.307           
## 3422   7.572 0.7644             0.2715000 -2.099 -2.035       2.208           
## 1088   5.073 1.0070 -9.649e-02  0.4905000 -2.194 -2.091 2.720                 
## 1342   5.086 1.0090             0.4894000 -2.194 -2.102 2.731                 
## 320    5.065 0.9991 -1.350e-01  0.5125000 -2.187 -2.090 2.720                 
## 955    5.875        -1.888e-01            -2.156 -1.997 2.389       -0.6402000
## 1977   5.907                              -2.159 -2.015 2.396       -0.6741000
## 1723   5.871        -1.417e-01            -2.160 -1.999 2.382       -0.6612000
## 646    4.290 0.5343             0.7762000                           -0.8855000
## 3930   7.685 0.7417                       -2.116 -2.047       2.139           
## 2288   4.978 0.8788 -8.357e-01  0.4825000 -2.340        2.340 2.007  0.1554000
## 647    4.770        -5.543e-01  0.7508000                           -0.7921000
## 814    3.642 0.7832             0.6250000 -2.099        2.373                 
## 2416   5.017 0.8810 -8.066e-01  0.4647000 -2.327        2.313 2.008           
## 2796   5.126 0.8348 -8.647e-01            -2.366        2.354 1.850  0.1350000
## 1582   3.651 0.7922             0.6000000 -2.108        2.370                 
## 2924   5.140 0.8402 -8.350e-01            -2.354        2.330 1.855           
## 684    4.391 0.7165 -4.107e-01            -2.128        2.305       -0.4747000
## 3803   8.370        -5.325e-01            -2.105 -1.957       2.138 -0.5058000
## 2445   6.728                    0.3083000 -1.786                    -0.4616000
## 662    5.425 0.6864             0.6359000        -1.836             -1.1420000
## 3695   5.873        -6.851e-01  0.2575000 -2.385        2.124 2.096           
## 1714   4.597 0.9663                              -2.081 2.191       -0.9724000
## 1905   4.163                                     -1.783 1.996 1.271           
## 3120   6.165 1.1280 -9.188e-01  0.1677000 -2.240        2.586                 
## 946    4.567 0.9615                              -2.082 2.194       -0.9631000
## 692    4.559 0.9624 -1.028e-02                   -2.081 2.192       -0.9634000
## 3612   8.356 0.8878 -9.385e-01            -1.912 -2.123                       
## 3295   8.348        -5.163e-01  0.1720000 -2.098 -1.957       2.210 -0.5016000
## 883    4.108         1.434e-02                   -1.787 1.999 1.266           
## 1651   4.062         5.146e-02                   -1.787 1.993 1.275           
## 3244   6.259 1.1140 -9.290e-01            -2.268        2.619        0.1032000
## 3630   5.216 1.1080             0.1441000 -2.207        2.566                 
## 2680   5.115 1.2040 -6.129e-01  0.4111000        -2.249 2.304 1.512           
## 3372   6.282 1.1160 -9.100e-01            -2.258        2.600                 
## 3547   8.509        -5.062e-01            -2.112 -1.978       2.197 -0.5276000
## 3947   6.141        -6.911e-01            -2.414        2.158 2.076           
## 3882   5.311 1.0990                       -2.222        2.578                 
## 2708   7.222 0.8981 -8.569e-01                   -2.132             -0.6353000
## 3754   5.329 1.0970                       -2.222        2.578       -0.0029490
## 1378   3.266 0.5091                                     1.911 1.568           
## 1124   3.235 0.5123 -2.580e-02                          1.907 1.561           
## 2296   5.353 1.2140 -5.420e-01  0.3880000        -2.293 2.284 1.584 -0.2811000
## 3819   6.030        -6.919e-01            -2.420        2.168 2.072  0.0884200
## 1706   4.331 0.7498                       -2.126        2.326       -0.5328000
## 3648   7.241 1.4310 -7.164e-01 -0.1305000 -2.329 -2.515 2.937                 
## 831    5.366        -2.964e-01  0.4068000 -2.174 -1.906 2.446                 
## 356    3.190 0.5015 -8.356e-02                          1.911 1.544           
## 3439   6.115        -6.660e-01  0.2772000 -2.401        2.147 2.191           
## 3772   7.138 1.4390 -7.221e-01            -2.314 -2.501 2.922       -0.0091520
## 3900   7.133 1.4390 -7.234e-01            -2.315 -2.500 2.923                 
## 3311   6.001        -6.668e-01  0.2681000 -2.408        2.159 2.185  0.0930500
## 2424   5.198 1.2180 -5.765e-01  0.4044000        -2.280 2.324 1.579           
## 938    4.215 0.7374                       -2.115        2.332       -0.5071000
## 2804   5.508 1.1830 -5.554e-01                   -2.311 2.298 1.475 -0.3079000
## 1599   5.259        -2.661e-01  0.3820000 -2.174 -1.910 2.442                 
## 1340   5.398 0.9521 -4.602e-02            -2.247 -2.126 2.763                 
## 3604   7.329 0.9117 -8.784e-01                   -2.106                       
## 3679   8.014        -6.398e-01  0.2364000 -2.117 -1.898       2.143           
## 1853   5.283                    0.3742000 -2.175 -1.938 2.470                 
## 812    4.232 0.6804 -4.691e-01            -2.172        2.380                 
## 1580   4.196 0.6930 -4.311e-01            -2.176        2.379                 
## 3563   6.278        -6.637e-01            -2.435        2.188 2.167  0.0624500
## 901    4.608                    0.7191000                           -0.8420000
## 1669   4.608                    0.7022000                           -0.8534000
## 2540   5.271 0.8471 -8.128e-01            -2.379        2.374 1.963  0.0972600
## 2548   5.554 1.2030 -5.062e-01                   -2.342 2.311 1.540 -0.3377000
## 2584   6.739 0.9065 -9.778e-01  0.4232000        -2.048                       
## 3152   6.602 0.5348 -7.486e-01  0.5271000 -2.086              2.338           
## 2716   8.093 0.8558 -9.673e-01            -1.845 -2.131             -0.4585000
## 2932   5.336 1.1870 -5.910e-01                   -2.299 2.343 1.465           
## 3805   8.023                    0.1459000 -2.081 -1.975       2.217 -0.5814000
## 3730   7.274 0.9715                              -2.213             -0.8122000
## 3763   6.702        -6.989e-01                   -2.250 2.193       -0.2375000
## 3931   8.238        -6.352e-01            -2.138 -1.924       2.125           
## 520    4.062 0.4631 -6.140e-01  0.9404000                                     
## 4057   8.149                              -2.093 -1.992       2.205 -0.6021000
## 1108   5.114 0.3369  4.678e-02                   -1.656       1.600           
## 3423   8.190        -6.172e-01  0.2427000 -2.127 -1.919       2.215           
## 1362   5.142 0.3340                              -1.652       1.595           
## 3549   8.131                    0.1433000 -2.087 -1.990       2.259 -0.5951000
## 2806   4.938 1.2120             0.3687000        -2.305 2.286 1.574 -0.3553000
## 3891   6.645        -7.489e-01                   -2.236 2.231                 
## 3639   6.557        -7.449e-01  0.0639400        -2.230 2.222                 
## 2272   7.451 0.7187 -7.002e-01  0.3934000 -2.002 -2.006       2.047 -0.4643000
## 340    5.037 0.3305 -2.874e-04                   -1.659       1.582           
## 1851   5.568        -2.390e-01            -2.217 -1.940 2.489                 
## 687    4.549        -5.058e-01  0.4974000 -2.087        2.137       -0.3372000
## 3660   6.801 0.4842 -7.773e-01            -2.118              2.185           
## 568    3.664 0.9768 -1.589e-01  0.7058000        -1.939 2.264                 
## 822    3.660 0.9788             0.7108000        -1.957 2.284                 
## 2550   5.000 1.2300             0.3486000        -2.332 2.296 1.621 -0.3765000
## 1590   3.546 0.9835             0.7036000        -1.960 2.281                 
## 644    4.977 0.4183 -4.613e-01                                      -0.9774000
## 2780   7.595 0.6822 -7.211e-01            -2.023 -2.017       1.925 -0.4860000
## 3286   6.789 0.8539             0.3893000        -2.067       1.993 -0.7858000
## 2656   7.136 0.6958 -8.111e-01  0.4359000 -2.023 -1.939       1.962           
## 1379   3.595        -6.421e-02                          1.805 1.627           
## 815    4.469        -5.769e-01  0.5771000 -2.112        2.194                 
## 3663   6.602        -7.939e-01  0.4731000 -2.086              2.257           
## 3284   7.327 0.8215 -4.130e-01                   -2.085       1.917 -0.7707000
## 2592   7.790 0.8563 -1.054e+00  0.2484000 -1.856 -2.075                       
## 1834   4.079 0.7142                       -2.172        2.414                 
## 1363   5.278         2.510e-02                   -1.624       1.639           
## 3276   7.113 0.5073 -6.595e-01            -2.107              2.308 -0.4021000
## 1206   4.661 1.0570             0.5669000        -2.119 2.230       -0.9500000
## 2934   4.705 1.2180             0.3863000        -2.292 2.338 1.569           
## 438    4.627 1.0530             0.5788000        -2.120 2.233       -0.9389000
## 184    4.611 1.0550  9.812e-03  0.5746000        -2.122 2.233       -0.9416000
## 660    5.923 0.6023 -1.895e-01                   -1.859             -1.2370000
## 3220   8.059 0.9876 -6.821e-01                   -2.245             -0.7545000
## 2836   6.968 0.8782 -9.510e-01                   -2.091                       
## 3738   8.176 0.9417                       -1.847 -2.223             -0.6594000
## 3058   5.135 1.2050                              -2.352 2.310 1.531 -0.4050000
## 2844   7.908 0.8440 -1.032e+00            -1.878 -2.102                       
## 1682   5.932 0.6197                              -1.880             -1.2710000
## 1583   4.334        -5.454e-01  0.5501000 -2.111        2.188                 
## 2926   4.292 0.8781             0.4433000 -2.299        2.324 1.984           
## 914    5.833 0.6166                              -1.882             -1.2590000
## 2798   4.301 0.8723             0.4580000 -2.301        2.332 1.985  0.0394100
## 2743   6.349        -7.881e-01  0.1124000        -2.222 2.186       -0.1910000
## 775    4.445        -6.699e-01  0.9064000                                     
## 3228   9.006 0.9540 -7.745e-01            -1.881 -2.247             -0.5815000
## 2524   7.662 0.7047 -6.609e-01            -2.029 -2.053       2.008 -0.5248000
## 3949   5.576                    0.2516000 -2.384        2.158 2.184           
## 2995   6.427        -7.830e-01                   -2.235 2.196       -0.2062000
## 1543   4.240        -6.818e-01  0.9001000                                     
## 3794   6.997 0.8227                              -2.090       1.904 -0.8232000
## 663    5.836        -2.933e-01  0.5789000        -1.747             -1.0510000
## 2224   5.684 1.0810 -1.064e+00  0.2944000 -2.207        2.594        0.1767000
## 1395   4.376         1.332e-01                   -1.833 2.034 1.425           
## 678    3.071 0.8208             0.7306000               1.932       -0.6134000
## 3821   5.530                    0.2377000 -2.384        2.154 2.181 -0.0045700
## 3264   7.589 1.4650 -6.619e-01 -0.1541000 -2.339 -2.585 2.984       -0.0734600
## 3392   7.524 1.4680 -6.681e-01 -0.1536000 -2.345 -2.582 2.995                 
## 2871   6.276        -8.248e-01  0.1376000        -2.209 2.214                 
## 2352   5.707 1.0870 -1.025e+00  0.2675000 -2.192        2.563                 
## 3516   7.431 1.4770 -6.687e-01            -2.323 -2.567 2.970       -0.0542600
## 3279   6.927        -6.918e-01  0.4406000 -2.085              2.378 -0.3093000
## 3538   7.073 0.8368                              -2.111       1.954 -0.8421000
## 1666   4.876 0.4480                                                 -1.0370000
## 2400   7.255 0.7095 -7.657e-01  0.4278000 -2.033 -1.975       2.052           
## 3787   7.057        -7.167e-01            -2.106              2.233 -0.3330000
## 655    5.616        -6.256e-01  0.6224000 -1.758                    -0.6704000
## 4073   5.762                              -2.407        2.178 2.163 -0.0310700
## 898    4.766 0.4427                                                 -1.0200000
## 899    5.212        -4.958e-01                                      -0.9324000
## 917    5.782                    0.5623000        -1.781             -1.0810000
## 1667   5.194        -4.782e-01                                      -0.9393000
## 1685   5.777                    0.5493000        -1.781             -1.0890000
## 766    4.576 0.8332             0.5741000 -2.215 -1.921 2.352 1.457 -0.7159000
## 941    4.401                    0.4765000 -2.074        2.172       -0.3744000
## 2476   5.824 1.0630 -1.039e+00            -2.232        2.609        0.1386000
## 1709   4.439                    0.4426000 -2.082        2.163       -0.4000000
## 3278   6.384 0.5512             0.4583000 -2.052              2.408 -0.4552000
## 3565   5.734                    0.2493000 -2.396        2.169 2.257 -0.0205400
## 3404   7.031 0.4889 -7.328e-01            -2.135              2.306           
## 2908   7.396 0.6708 -7.887e-01            -2.057 -1.987       1.921           
## 3755   6.252        -1.033e+00            -2.240        2.338        0.1945000
## 3883   6.395        -1.014e+00            -2.224        2.309                 
## 3407   6.883        -7.598e-01  0.4901000 -2.103              2.382           
## 939    4.893        -4.844e-01            -2.129        2.178       -0.4149000
## 774    3.844 0.4775             0.9166000                                     
## 3631   6.252        -1.004e+00  0.0937000 -2.212        2.294                 
## 710    3.693 0.3744             0.9920000                     1.762 -0.9378000
## 2862   4.608 1.0640             0.2454000 -2.152        2.542                 
## 3933   7.735                    0.2182000 -2.112 -1.935       2.222           
## 3662   5.992 0.5307             0.5039000 -2.064              2.320           
## 1542   3.780 0.4820             0.9082000                                     
## 1707   4.863        -4.388e-01            -2.131        2.170       -0.4344000
## 2734   4.622 1.0560             0.2653000 -2.154        2.552        0.0512300
## 2710   6.556 0.9391             0.3235000        -2.161             -0.7389000
## 3915   7.012        -7.878e-01            -2.129              2.223           
## 2542   4.438 0.8853             0.4516000 -2.313        2.347 2.076  0.0134200
## 552    2.898 0.7781 -4.499e-01  0.8437000               1.980                 
## 3774   7.004 1.4550            -0.1799000 -2.311 -2.579 2.964       -0.1581000
## 654    5.125 0.4749             0.6376000 -1.721                    -0.7691000
## 3160   6.695 0.8183 -5.751e-01  0.5050000        -1.983       1.952           
## 3902   6.881 1.4580            -0.1738000 -2.324 -2.573 2.988                 
## 1469   6.209                    0.2636000 -2.146 -2.070 2.431       -0.7075000
## 2962   6.697 0.9326                              -2.198             -0.7873000
## 3786   6.574 0.5091                       -2.078              2.286 -0.4884000
## 1215   6.174        -8.167e-02  0.2624000 -2.147 -2.061 2.422       -0.7011000
## 2986   4.747 1.0440                       -2.178        2.565        0.0191400
## 4026   6.807 1.4700                       -2.292 -2.559 2.947       -0.1371000
## 1741   4.918                    0.7893000 -1.923              1.984 -0.8345000
## 1837   4.257                    0.5203000 -2.110        2.232                 
## 2640   5.854 0.4843 -9.482e-01  0.6415000 -2.006              2.109           
## 2799   5.262        -8.735e-01  0.3991000 -2.335        2.143 1.979  0.1917000
## 447    6.126        -1.369e-01  0.2977000 -2.138 -2.058 2.427       -0.6718000
## 718    4.552 0.2938             0.8606000 -1.888              1.931 -0.8151000
## 3050   4.567 0.8469                       -2.338        2.362 1.940 -0.0131100
## 2782   6.910 0.7166             0.3713000 -1.971 -2.023       2.035 -0.5640000
## 670    6.274 0.6274             0.4954000 -1.733 -1.848             -1.0260000
## 711    3.979        -2.442e-01  0.9630000                     1.761 -0.8867000
## 719    4.827        -2.941e-01  0.8425000 -1.907              1.917 -0.7631000
## 3765   6.445                   -0.0133800        -2.304 2.218       -0.3591000
## 4017   6.436                                     -2.302 2.218       -0.3573000
## 2927   5.361        -8.516e-01  0.3929000 -2.317        2.113 1.983           
## 1278   4.970 0.8427             0.5574000 -2.244 -1.947 2.361 1.576 -0.7964000
## 1733   3.992                    0.9296000                     1.809 -0.9352000
## 2200   7.455 0.9603 -8.190e-01  0.3482000        -2.189             -0.6617000
## 3531   7.307        -6.705e-01            -2.120              2.349 -0.3717000
## 965    3.931                    0.9679000                     1.802 -0.9039000
## 1921   5.079                                                        -0.9910000
## 1467   6.397        -5.303e-02            -2.171 -2.087 2.445       -0.7518000
## 2526   6.990 0.7376             0.3440000 -1.980 -2.055       2.095 -0.5918000
## 1835   4.724        -5.058e-01            -2.171        2.248                 
## 528    5.021 0.4065 -6.764e-01  0.7828000 -1.783                              
## 3606   6.674 0.9545             0.3151000        -2.133                       
## 3104   8.751 0.9339 -8.890e-01  0.1333000 -1.908 -2.196                       
## 1204   5.035 1.0060  1.081e-01                   -2.172 2.255       -1.0690000
## 3004   6.645 1.3780 -8.460e-01            -2.275 -2.470 2.903        0.0352200
## 2880   6.667 1.3780 -8.391e-01 -0.0178300 -2.274 -2.474 2.899                 
## 3406   6.203 0.5351             0.5090000 -2.078              2.418           
## 973    4.748                    0.8424000 -1.900              1.964 -0.7871000
## 3356   8.790 0.9312 -8.705e-01            -1.920 -2.211                       
## 1961   4.798                              -2.124        2.195       -0.4765000
## 2735   5.823        -1.129e+00  0.1967000 -2.199        2.322        0.2476000
## 1458   5.061 0.9982                              -2.160 2.247       -1.0570000
## 2752   6.693 1.3700 -8.608e-01  0.0008884 -2.276 -2.467 2.904        0.0398800
## 3474   7.651 1.0200                              -2.293             -0.8736000
## 3222   7.598 1.0200             0.2005000        -2.271             -0.8445000
## 3507   7.131        -6.408e-01                   -2.327 2.245       -0.2928000
## 3255   7.116        -6.400e-01  0.0082940        -2.326 2.243       -0.2919000
## 436    4.936 0.9999  7.533e-02                   -2.172 2.257       -1.0510000
## 3034   7.111 0.7083                       -1.998 -2.068       1.997 -0.6165000
## 3789   6.396                    0.4084000 -2.057              2.357 -0.4049000
## 806    2.749 0.7911             0.8329000               2.020                 
## 2452   7.580 0.9503 -7.700e-01                   -2.230             -0.7195000
## 3530   6.747 0.5183                       -2.089              2.375 -0.5144000
## 652    5.792 0.3699 -5.488e-01            -1.792                    -0.8235000
## 2600   4.308 1.0480 -1.008e+00  0.4966000               2.116                 
## 256    4.724 0.8432  1.463e-01  0.5803000 -2.223 -1.969 2.379 1.575 -0.7761000
## 2987   5.979        -1.131e+00            -2.217        2.341        0.2273000
## 3374   5.640 1.1480             0.1259000 -2.227        2.635                 
## 1574   2.657 0.7971             0.8209000               2.017                 
## 3096   7.579 0.9750 -8.377e-01  0.3377000        -2.163                       
## 510    4.827 0.8312             0.6029000 -2.226 -1.953 2.374 1.564 -0.7549000
## 2863   5.947        -1.099e+00  0.1865000 -2.176        2.283                 
## 3668   6.930 0.7743 -5.912e-01                   -2.006       1.825           
## 3246   5.696 1.1440             0.1307000 -2.224        2.630       -0.0377100
## 750    3.458 0.6136             0.7596000 -2.182        2.085 1.701 -0.4949000
## 3731   7.794        -7.885e-01                   -2.042             -0.6090000
## 3739   8.745        -8.794e-01            -1.893 -2.050             -0.4382000
## 3893   6.240                    0.0284600        -2.285 2.273                 
## 1683   6.207        -2.196e-01                   -1.801             -1.1760000
## 3498   5.750 1.1400                       -2.236        2.635       -0.0535900
## 3836   6.947 1.2670 -4.406e-01            -2.467 -2.383 2.725 1.819 -0.0901200
## 915    6.197        -2.380e-01                   -1.800             -1.1670000
## 3866   7.850 0.9165                       -1.889 -2.185                       
## 3580   6.985 1.2680 -4.350e-01            -2.469 -2.388 2.728 1.834 -0.0946700
## 3328   6.972 1.2700 -4.341e-01  0.0064470 -2.468 -2.388 2.727 1.834 -0.0941700
## 2783   7.547        -7.365e-01  0.3271000 -2.022 -1.895       2.025 -0.3957000
## 3964   6.926 1.2640 -4.594e-01            -2.475 -2.378 2.740 1.816           
## 3712   6.901 1.2660 -4.580e-01  0.0171100 -2.473 -2.376 2.737 1.818           
## 3614   7.825 0.9160             0.1113000 -1.879 -2.172                       
## 1797   4.115                    0.8555000                                     
## 3456   6.942 1.2670 -4.530e-01  0.0186900 -2.476 -2.382 2.742 1.834           
## 1786   5.165 0.7909                       -2.276 -1.964 2.380 1.410 -0.8427000
## 3858   6.856 0.9398                              -2.165                       
## 949    4.822                    0.4738000        -1.941 1.988       -0.7966000
## 695    4.814        -1.440e-01  0.4682000        -1.924 1.971       -0.7914000
## 3383   6.995        -6.951e-01  0.0464500        -2.309 2.286                 
## 176    4.504 0.8134 -3.791e-01  0.5980000 -2.086        2.349       -0.4697000
## 1677   5.504                    0.5549000 -1.748                    -0.7547000
## 3670   6.246 0.8155             0.4847000        -1.990       1.942           
## 1937   6.173                                     -1.824             -1.2020000
## 3051   5.538        -8.690e-01            -2.367        2.181 1.937  0.1476000
## 2264   6.470 0.7945 -6.076e-01  0.5444000        -2.006       1.875 -0.6341000
## 1717   4.751                    0.4584000        -1.942 1.982       -0.8028000
## 3620   4.856 1.0410 -9.201e-01                          2.159                 
## 909    5.410                    0.5839000 -1.737                    -0.7302000
## 3914   6.388 0.4893                       -2.109              2.285           
## 668    6.729 0.5532 -2.778e-01            -1.783 -1.851             -1.0820000
## 783    5.366        -7.269e-01  0.7528000 -1.794                              
## 3518   7.263 1.4910            -0.2104000 -2.323 -2.639 3.005       -0.1946000
## 820    4.072 0.8898 -1.135e-01                   -1.986 2.313                 
## 1690   6.764 0.5806                       -1.784 -1.880             -1.1370000
## 1588   4.008 0.8932 -1.119e-01                   -1.987 2.311                 
## 3348   7.761 0.9577 -8.064e-01                   -2.197                       
## 1842   4.006 0.8978                              -1.999 2.323                 
## 2767   6.140        -9.073e-01  0.5701000 -2.011              2.150 -0.2005000
## 3533   6.623                    0.4137000 -2.070              2.451 -0.4302000
## 2543   5.469        -8.398e-01  0.4155000 -2.347        2.164 2.095  0.1606000
## 1551   5.232        -7.103e-01  0.7348000 -1.792                              
## 3412   7.069 0.7868 -5.484e-01                   -2.037       1.909           
## 1198   4.487 0.8383             0.5414000 -2.091        2.366       -0.5328000
## 1675   6.037        -5.406e-01            -1.808                    -0.8005000
## 764    4.925 0.7881  1.337e-01            -2.255 -1.987 2.399 1.400 -0.8217000
## 3917   6.241                    0.4619000 -2.079              2.360           
## 2711   7.317        -8.874e-01  0.2697000        -1.997             -0.5368000
## 907    6.010        -5.819e-01            -1.803                    -0.7822000
## 676    3.677 0.7161 -3.320e-01                          1.930       -0.7095000
## 3414   6.386 0.8253             0.4803000        -2.015       2.008           
## 2568   5.448 0.6938 -1.144e+00  0.6238000                                     
## 3035   7.755        -7.123e-01            -2.044 -1.936       1.993 -0.4455000
## 1018   5.011 0.7771                       -2.258 -1.972 2.394 1.383 -0.8049000
## 3482   8.552 0.9879                       -1.852 -2.301             -0.7190000
## 2895   6.096        -9.484e-01  0.5971000 -2.023              2.147           
## 2256   6.148 0.4943 -8.635e-01  0.6332000 -2.003              2.247 -0.2641000
## 152    6.030 0.7017 -1.673e-01  0.6592000        -1.905             -1.2210000
## 922    6.602 0.5730                       -1.772 -1.883             -1.1150000
## 1174   6.058 0.7142             0.6290000        -1.922             -1.2570000
## 4041   6.741                              -2.091              2.326 -0.4592000
## 2910   6.601 0.7070             0.4079000 -2.007 -1.989       2.041           
## 2527   7.689        -6.913e-01  0.3188000 -2.030 -1.930       2.111 -0.4317000
## 406    5.950 0.7122             0.6393000        -1.924             -1.2430000
## 2911   7.394        -8.043e-01  0.3676000 -2.047 -1.866       2.023           
## 3615   8.548        -9.663e-01  0.0718600 -1.916 -2.013                       
## 3230   8.652 0.9759             0.0157000 -1.852 -2.298             -0.7163000
## 430    4.340 0.8302             0.5730000 -2.076        2.373       -0.5022000
## 1674   5.709 0.4089                       -1.784                    -0.9023000
## 3867   8.622        -9.654e-01            -1.923 -2.020                       
## 1646   3.298 0.6016             0.8019000 -2.236        2.160 1.698           
## 1230   5.082 0.3009             0.8440000 -1.927              2.105 -0.9240000
## 624    3.289 0.5903 -2.375e-01  0.8327000 -2.221        2.147 1.651           
## 1276   5.296 0.8119  3.043e-01            -2.287 -2.025 2.412 1.549 -0.9290000
## 2460   8.455 0.9075 -8.810e-01            -1.843 -2.229             -0.5430000
## 2963   7.479        -8.649e-01                   -2.029             -0.5798000
## 2997   5.956                    0.0699500        -2.285 2.216       -0.3279000
## 878    3.244 0.5876             0.8442000 -2.218        2.165 1.690           
## 2384   6.057 0.4893 -9.027e-01  0.6541000 -2.020              2.248           
## 2772   6.701 0.7462 -6.268e-01                   -2.030       1.725 -0.6753000
## 2648   6.061 0.7653 -7.518e-01  0.6071000        -1.922       1.776           
## 2208   8.434 0.9050 -9.212e-01  0.1938000 -1.828 -2.204             -0.5089000
## 3582   6.775 1.2790            -0.0200200 -2.460 -2.417 2.737 1.873 -0.1718000
## 4090   6.753 1.2800                       -2.458 -2.414 2.734 1.873 -0.1688000
## 671    6.691        -3.637e-01  0.4490000 -1.767 -1.755             -0.9302000
## 3838   6.780 1.2770            -0.0168300 -2.460 -2.416 2.736 1.872 -0.1705000
## 679    3.761        -4.446e-01  0.6676000               1.760       -0.5364000
## 2970   7.493 0.8934                       -1.803 -2.205             -0.6332000
## 1698   3.588 0.7400                                     1.949       -0.7485000
## 1222   4.141 0.3788             0.9949000                     1.936 -1.0360000
## 930    3.536 0.7333                                     1.954       -0.7347000
## 894    4.192 0.7936             0.6904000 -2.265 -1.855 2.455 1.445           
## 1662   4.219 0.8054             0.6552000 -2.279 -1.852 2.450 1.451           
## 536    4.867 0.5954 -3.836e-01  0.8335000        -1.671                       
## 304    4.317 0.7892 -4.373e-01  0.6766000 -2.123        2.421                 
## 2487   6.739        -7.323e-01  0.0922700        -2.306 2.242       -0.2498000
## 1072   4.304 0.7986 -3.952e-01  0.6514000 -2.130        2.420                 
## 3287   7.233        -4.568e-01  0.3541000        -1.943       2.018 -0.6601000
## 3966   6.680 1.2760            -0.0019390 -2.473 -2.408 2.764 1.870           
## 2838   6.144 0.9249             0.3817000        -2.114                       
## 906    5.533 0.3991                       -1.770                    -0.8763000
## 3607   7.367        -9.177e-01  0.2743000        -1.971                       
## 2764   6.375 0.4334 -8.975e-01            -2.036              2.055 -0.2987000
## 136    5.063 0.5368 -4.447e-01  0.8283000                           -0.9462000
## 2724   4.636 1.0030 -9.880e-01                          2.139       -0.0748300
## 2774   5.967 0.7902             0.5215000        -2.014       1.846 -0.7120000
## 2852   4.592 1.0050 -9.954e-01                          2.150                 
## 2328   7.159 0.9478 -9.132e-01  0.4027000        -2.145                       
## 2718   7.466 0.8861             0.1689000 -1.788 -2.182             -0.6071000
## 640    4.118 0.8030  7.143e-03  0.6703000 -2.266 -1.857 2.453 1.440           
## 1530   5.464 0.7885                       -2.292 -1.996 2.401 1.515 -0.8920000
## 1485   5.306                    0.8263000 -1.940              2.142 -0.8970000
## 947    5.127        -1.097e-01                   -1.969 2.005       -0.8762000
## 200    4.061 0.3671 -1.514e-01  1.0320000                     1.906 -0.9897000
## 1969   5.112                                     -1.981 2.011       -0.8911000
## 1231   5.268        -1.204e-01  0.8202000 -1.940              2.118 -0.8865000
## 3795   7.364        -4.693e-01                   -1.959       1.911 -0.6864000
## 1715   5.081        -9.115e-02                   -1.970 2.001       -0.8832000
## 1343   5.800        -1.893e-01  0.3961000 -2.195 -1.995 2.526                 
## 454    4.021 0.3668             1.0320000                     1.929 -1.0010000
## 3144   5.421 0.5975 -7.174e-01  0.7317000                     2.142           
## 3922   6.603 0.7873                              -2.041       1.897           
## 1262   3.927 0.6210             0.7462000 -2.218        2.094 1.859 -0.5911000
## 1693   6.692                    0.3992000 -1.765 -1.796             -0.9916000
## 208    4.938 0.2845 -2.074e-01  0.9015000 -1.905              2.061 -0.8569000
## 2719   8.288        -9.904e-01  0.1182000 -1.855 -2.018             -0.3845000
## 3509   6.856                   -0.0399800        -2.375 2.264       -0.4053000
## 2892   6.266 0.4281 -9.384e-01            -2.057              2.051           
## 2971   8.346        -9.760e-01            -1.864 -2.033             -0.4037000
## 3859   7.587        -9.039e-01                   -2.001                       
## 925    6.603                    0.4242000 -1.754 -1.797             -0.9700000
## 2516   6.781 0.7705 -5.606e-01                   -2.071       1.818 -0.7193000
## 1550   4.781 0.4315             0.7356000 -1.770                              
## 2518   6.076 0.8107             0.4992000        -2.049       1.918 -0.7435000
## 2632   4.800 0.5550 -8.882e-01  0.8096000                     1.923           
## 782    4.754 0.4249             0.7544000 -1.762                              
## 462    4.864 0.2866             0.8970000 -1.900              2.090 -0.8743000
## 3797   6.889                    0.3302000        -1.950       2.002 -0.7215000
## 790    4.765 0.6060             0.8194000        -1.712                       
## 1558   4.686 0.6090             0.8156000        -1.714                       
## 1477   4.393                    0.9687000                     1.978 -1.0040000
## 592    4.309 0.2394 -3.702e-01  0.9873000 -1.938              1.862           
## 772    4.599 0.3332 -5.622e-01                                                
## 933    3.646                    0.6521000               1.794       -0.5660000
## 1540   4.529 0.3357 -5.649e-01                                                
## 1929   5.907                              -1.794                    -0.8598000
## 1326   4.199 0.8145             0.6262000 -2.129        2.452                 
## 1773   4.009                    0.6651000 -2.209        1.961 1.793 -0.5052000
## 1196   4.980 0.7606 -2.671e-01            -2.145        2.375       -0.5995000
## 2839   7.107        -9.836e-01  0.3344000        -1.955                       
## 1223   4.354        -1.028e-01  0.9619000                     1.956 -0.9957000
## 3539   7.525        -4.307e-01                   -1.986       1.988 -0.7169000
## 847    4.548        -4.122e-01  0.9855000 -1.945              1.887           
## 2692   5.962 0.6465 -1.062e+00                                      -0.4346000
## 3588   6.081 0.6632 -1.064e+00                                                
## 1158   4.986 0.5592             0.7759000                           -1.0100000
## 1701   3.587                    0.6328000               1.787       -0.5759000
## 807    3.556        -5.357e-01  0.7819000               1.840                 
## 463    5.139        -2.341e-01  0.8840000 -1.917              2.090 -0.8285000
## 508    5.122 0.7932  1.939e-01            -2.267 -2.027 2.423 1.508 -0.8755000
## 2454   6.945 0.9884             0.2785000        -2.253             -0.8116000
## 3655   5.406        -7.712e-01  0.6709000                     2.042           
## 3270   5.304 0.6179             0.6430000                     2.209 -0.6040000
## 455    4.303        -1.820e-01  1.0080000                     1.942 -0.9554000
## 751    3.920        -2.144e-01  0.7077000 -2.195        1.961 1.742 -0.4490000
## 1615   4.516        -3.360e-01  0.9408000 -1.958              1.901           
## 1005   3.892                    0.7202000 -2.191        1.977 1.778 -0.4579000
## 312    4.100 1.0040 -9.834e-02  0.7309000        -2.027 2.349                 
## 2336   8.197 0.8988 -9.867e-01  0.2240000 -1.863 -2.173                       
## 2392   6.209 0.7786 -7.046e-01  0.6045000        -1.962       1.879           
## 2496   6.958 1.4140 -7.949e-01 -0.0324200 -2.285 -2.548 2.959       -0.0167500
## 1691   7.047        -2.823e-01            -1.805 -1.798             -1.0370000
## 1080   4.032 1.0070 -9.492e-02  0.7250000        -2.028 2.347                 
## 3596   7.088 0.6376 -1.125e+00            -1.894                              
## 390    4.865 0.5555             0.7909000                           -0.9913000
## 1334   4.042 1.0100             0.7234000        -2.038 2.358                 
## 3541   7.045                    0.3279000        -1.972       2.063 -0.7421000
## 494    3.759 0.6068             0.8000000 -2.196        2.108 1.848 -0.5421000
## 240    3.771 0.6091 -1.187e-01  0.7924000 -2.199        2.099 1.828 -0.5382000
## 1575   3.339        -5.394e-01  0.7701000               1.833                 
## 1614   4.266 0.2513             0.9513000 -1.949              1.930           
## 923    6.992        -3.244e-01            -1.799 -1.796             -1.0170000
## 428    4.868 0.7466 -3.281e-01            -2.135        2.378       -0.5694000
## 1450   4.884 0.7773                       -2.140        2.389       -0.6260000
## 2511   6.364        -8.585e-01  0.5810000 -2.022              2.287 -0.2448000
## 2847   8.140        -1.056e+00  0.1581000 -1.880 -1.989                       
## 1869   4.507                    0.9419000 -1.959              1.965           
## 2576   6.464 0.6416 -1.221e+00  0.4545000 -1.825                              
## 846    4.191 0.2384             0.9906000 -1.930              1.920           
## 4049   7.164                                     -1.990       1.971 -0.7706000
## 584    3.340 0.3159 -3.311e-01  1.1390000                     1.690           
## 3019   6.514        -8.886e-01            -2.049              2.095 -0.2770000
## 1795   4.756        -5.973e-01                                                
## 1738   5.395 0.2149                       -1.971              1.868 -0.9996000
## 1945   7.005                              -1.798 -1.828             -1.0710000
## 3026   6.277 0.7706                              -2.075       1.789 -0.7873000
## 3733   7.381                    0.1425000        -2.083             -0.7278000
## 3671   6.775        -6.196e-01  0.4413000        -1.864       1.927           
## 3654   4.795 0.5917             0.7056000                     2.101           
## 3271   5.828        -6.315e-01  0.6197000                     2.187 -0.4681000
## 3037   7.135                    0.2891000 -2.000 -1.948       2.096 -0.5313000
## 1406   4.543 0.7987             0.6938000 -2.299 -1.880 2.481 1.576           
## 3985   7.466                                     -2.100             -0.7494000
## 839    3.628        -3.783e-01  1.1310000                     1.722           
## 1770   4.179 0.5487                       -2.260        2.117 1.641 -0.6516000
## 1739   5.526        -1.329e-01            -1.980              1.868 -0.9629000
## 3827   6.404        -4.188e-01                   -2.158 2.015 1.721 -0.3374000
## 879    3.789        -3.009e-01  0.8018000 -2.227        2.036 1.719           
## 1993   5.536                              -1.980              1.894 -0.9776000
## 3319   6.365        -4.059e-01  0.1909000        -2.153 2.007 1.792 -0.3296000
## 1805   5.090                    0.6880000 -1.782                              
## 2820   5.818 0.6340 -1.127e+00                                                
## 1152   4.397 0.8133  1.284e-01  0.6658000 -2.299 -1.894 2.487 1.580           
## 838    3.254 0.3126             1.1450000                     1.745           
## 1901   3.796                    0.7639000 -2.244        2.050 1.780           
## 1789   5.173                    0.4708000 -2.241 -1.826 2.176 1.583 -0.7023000
## 391    5.394        -4.794e-01  0.7706000                           -0.9021000
## 823    4.396        -2.639e-01  0.6234000        -1.839 2.074                 
## 1426   6.469 0.6509                              -1.966             -1.3800000
## 1159   5.388        -4.577e-01  0.7557000                           -0.9126000
## 3268   6.125 0.5615 -5.870e-01                                2.096 -0.5928000
## 2846   7.127 0.8783             0.2039000 -1.827 -2.147                       
## 1172   6.540 0.6420 -5.237e-02                   -1.960             -1.3730000
## 2766   5.409 0.4885             0.6053000 -1.962              2.205 -0.3775000
## 1606   3.224 0.3239             1.1190000                     1.743           
## 3652   5.719 0.5292 -7.478e-01                                1.947           
## 804    3.374 0.6667 -4.065e-01                          2.030                 
## 2695   5.889        -1.086e+00  0.5113000                           -0.3277000
## 3350   7.115 0.9973             0.2839000        -2.218                       
## 1021   5.077                    0.5196000 -2.225 -1.829 2.191 1.569 -0.6609000
## 3703   6.092        -4.917e-01  0.2308000        -2.113 2.041 1.727           
## 3571   6.552        -3.981e-01                   -2.178 2.027 1.776 -0.3558000
## 2248   5.166 0.5700 -7.710e-01  0.7843000                     2.074 -0.4338000
## 1647   3.744        -2.156e-01  0.7513000 -2.240        2.031 1.735           
## 1591   4.203        -2.698e-01  0.6143000        -1.842 2.068                 
## 2508   6.539 0.4477 -8.297e-01            -2.047              2.193 -0.3497000
## 1572   3.289 0.6719 -4.012e-01                          2.028                 
## 2759   5.169        -8.176e-01  0.7133000                     1.972 -0.3646000
## 1607   3.509        -3.410e-01  1.1000000                     1.719           
## 384    4.364 0.7993  4.591e-02  0.7089000 -2.281 -1.893 2.487 1.565           
## 404    6.386 0.6386 -8.497e-02                   -1.961             -1.3530000
## 780    5.510 0.2959 -6.385e-01            -1.851                              
## 791    5.285        -4.454e-01  0.7806000        -1.621                       
## 1559   5.104        -4.602e-01  0.7775000        -1.624                       
## 1548   5.485 0.3040 -6.145e-01            -1.854                              
## 3053   4.763                    0.3825000 -2.308        2.155 2.069  0.0427400
## 1390   3.669 0.5905             0.8501000 -2.260        2.192 1.856           
## 3591   5.951        -1.098e+00  0.5074000                                     
## 1845   4.224                    0.6059000        -1.871 2.096                 
## 726    4.791 0.5299             0.8413000        -1.673       1.575 -1.1660000
## 767    5.002         4.227e-02  0.4935000 -2.225 -1.835 2.186 1.570 -0.6772000
## 2900   6.431 0.7267 -7.274e-01                   -1.987       1.714           
## 3622   4.083 1.0940             0.4022000               2.186                 
## 3447   6.262        -4.754e-01  0.2414000        -2.133 2.058 1.790           
## 3955   6.311        -4.896e-01                   -2.140 2.069 1.705           
## 1794   4.339 0.3626                                                           
## 716    5.259 0.1909 -2.304e-01            -1.952              1.798 -0.9303000
## 2775   6.562        -6.474e-01  0.4726000        -1.883       1.847 -0.5595000
## 3358   8.248 0.9579             0.0781500 -1.891 -2.255                       
## 1861   3.497                    1.1010000                     1.783           
## 2700   6.834 0.6043 -1.172e+00            -1.846                    -0.2578000
## 1136   3.604 0.5968 -1.017e-01  0.8370000 -2.258        2.182 1.832           
## 3415   6.995        -5.874e-01  0.4488000        -1.893       2.021           
## 3781   5.295                    0.5875000                     2.142 -0.5456000
## 3778   5.591 0.5607                                           2.050 -0.6586000
## 1829   3.263                    0.7404000               1.877                 
## 3829   6.094                    0.1693000        -2.165 2.009 1.791 -0.3884000
## 2823   5.809        -1.153e+00  0.5590000                                     
## 748    4.031 0.5308 -1.402e-01            -2.242        2.123 1.589 -0.5968000
## 3779   6.049        -6.537e-01                                2.006 -0.5136000
## 2478   5.005 1.1010             0.2400000 -2.167        2.613       -0.0062670
## 3006   6.202 1.4010            -0.0588300 -2.247 -2.542 2.934       -0.1177000
## 1002   3.992 0.5318                       -2.240        2.131 1.611 -0.6066000
## 971    5.371        -2.457e-01            -1.959              1.817 -0.9098000
## 931    4.167        -4.023e-01                          1.802       -0.6510000
## 544    5.844 0.5396 -4.440e-01  0.6731000 -1.801 -1.689                       
## 368    3.585 0.5803 -1.942e-01  0.8866000 -2.240        2.183 1.817           
## 970    5.150 0.1983                       -1.946              1.832 -0.9533000
## 1175   6.430        -1.884e-01  0.5679000        -1.847             -1.1720000
## 3573   6.218                    0.1735000        -2.179 2.018 1.834 -0.3998000
## 3993   8.374                              -1.862 -2.114             -0.5973000
## 4081   6.254                                     -2.186 2.025 1.774 -0.4105000
## 2894   5.225 0.4834             0.6297000 -1.986              2.208           
## 1803   5.709        -6.470e-01            -1.860                              
## 407    6.401        -2.112e-01  0.5814000        -1.845             -1.1600000
## 3741   8.445                   -0.0408600 -1.866 -2.118             -0.6027000
## 1699   4.097        -3.847e-01                          1.797       -0.6568000
## 2828   6.745 0.5986 -1.208e+00            -1.865                              
## 3399   5.719        -7.284e-01  0.6906000                     2.188           
## 2887   5.077        -8.913e-01  0.7638000                     1.966           
## 3223   8.207        -7.311e-01  0.1673000        -2.112             -0.6614000
## 3885   5.782                    0.0608700 -2.199        2.352                 
## 3757   5.747                    0.0572500 -2.201        2.355        0.0243200
## 4009   5.815                              -2.208        2.361        0.0181500
## 168    3.710 0.8329 -3.159e-01  0.7705000               1.976       -0.6709000
## 1324   4.722 0.7204 -3.348e-01            -2.198        2.471                 
## 1429   6.402                    0.5474000        -1.867             -1.1970000
## 1826   3.170 0.6928                                     2.060                 
## 2902   5.579 0.7738             0.5827000        -1.968       1.852           
## 3247   6.710        -9.684e-01  0.0912700 -2.246        2.392        0.1380000
## 3715   6.443        -9.976e-01                                      -0.4244000
## 1517   4.394                    0.7064000 -2.228        1.985 1.942 -0.5566000
## 1730   4.519 0.2788                                           1.664 -1.1360000
## 3499   6.818        -9.693e-01            -2.256        2.402        0.1281000
## 1413   5.287                    0.7094000                           -0.9676000
## 3923   7.142        -6.044e-01                   -1.913       1.888           
## 3475   8.300        -7.099e-01                   -2.132             -0.6895000
## 3375   6.802        -9.522e-01  0.0858900 -2.234        2.371                 
## 734    5.644 0.4490             0.7107000 -1.883 -1.668       1.744 -1.0430000
## 3746   4.496 1.0670                                     2.171       -0.2586000
## 3398   5.042 0.5977             0.7134000                     2.219           
## 2376   5.026 0.5594 -8.410e-01  0.8281000                     2.075           
## 1914   4.739 0.7332                       -2.343 -1.900 2.515 1.371           
## 1533   5.504                    0.5033000 -2.256 -1.855 2.200 1.695 -0.7436000
## 3483   9.258        -8.041e-01            -1.897 -2.138             -0.5169000
## 3231   9.300        -8.085e-01 -0.0135200 -1.899 -2.139             -0.5181000
## 1660   4.615 0.7474  1.147e-01            -2.342 -1.911 2.519 1.383           
## 3112   5.028 1.1170 -8.798e-01  0.4277000               2.206                 
## 1813   5.061                    0.7475000        -1.670                       
## 1279   5.358         1.865e-01  0.4624000 -2.254 -1.874 2.200 1.707 -0.7750000
## 1263   4.309        -5.880e-02  0.6880000 -2.227        1.976 1.923 -0.5573000
## 708    4.433 0.2613 -1.682e-01                                1.616 -1.0860000
## 1190   3.639 0.8510             0.7338000               1.993       -0.7126000
## 2041   5.610                              -2.282 -1.872 2.223 1.524 -0.7825000
## 431    5.109        -4.456e-01  0.5213000 -2.094        2.210       -0.4209000
## 2965   6.874                    0.2167000        -2.066             -0.6981000
## 1199   5.121        -3.926e-01  0.4856000 -2.101        2.203       -0.4482000
## 3599   7.076        -1.149e+00  0.3144000 -1.872                              
## 3874   4.346 1.0660                                     2.212                 
## 2758   4.478 0.5628             0.7537000                     2.017 -0.5256000
## 1787   5.472         1.727e-01            -2.278 -1.888 2.222 1.548 -0.8082000
## 422    3.582 0.8461             0.7506000               1.998       -0.6964000
## 1731   4.664        -1.072e-01                                1.675 -1.0970000
## 2510   5.581 0.5023             0.5966000 -1.974              2.317 -0.4130000
## 3957   5.895                    0.2204000        -2.143 2.069 1.787           
## 1985   4.671                                                  1.696 -1.1090000
## 962    4.355 0.2667                                           1.641 -1.1020000
## 1953   4.034                                            1.819       -0.6934000
## 2519   6.730        -6.004e-01  0.4686000        -1.921       1.944 -0.5992000
## 892    4.565 0.7316  3.364e-02            -2.326 -1.911 2.520 1.352           
## 1182   6.984 0.6587             0.4739000 -1.749 -1.932             -1.1550000
## 3522   5.788 0.5732                                           2.156 -0.6915000
## 3723   7.385        -1.089e+00            -1.885                    -0.2538000
## 3176   4.411 0.9388 -6.234e-01  0.5896000               1.950 1.918           
## 495    4.226        -1.706e-01  0.7544000 -2.208        1.990 1.900 -0.4990000
## 3525   5.559                    0.5944000                     2.255 -0.5774000
## 160    6.907 0.6392 -2.398e-01  0.5241000 -1.741 -1.908             -1.0970000
## 2947   6.209        -1.065e+00                                      -0.4002000
## 3925   6.513                    0.4244000        -1.900       2.004           
## 3021   5.609                    0.5455000 -1.982              2.243 -0.3592000
## 2756   5.467 0.4962 -8.037e-01                                1.855 -0.4879000
## 2025   4.552                              -2.266        2.017 1.716 -0.6144000
## 439    5.305        -8.016e-02  0.4772000        -2.014 2.037       -0.8715000
## 798    5.702 0.5545             0.6534000 -1.788 -1.737                       
## 963    4.571        -1.853e-01                                1.642 -1.0590000
## 1566   5.712 0.5595             0.6396000 -1.793 -1.736                       
## 1461   5.315                    0.4627000        -2.023 2.040       -0.8868000
## 511    5.251         7.861e-02  0.5245000 -2.236 -1.871 2.212 1.683 -0.7181000
## 2726   3.776 1.0570             0.4655000               2.148       -0.1781000
## 1207   5.280        -5.681e-02  0.4599000        -2.016 2.033       -0.8830000
## 3843   6.338        -1.080e+00                                                
## 3396   5.964 0.5375 -6.911e-01                                2.088           
## 3027   6.870        -6.175e-01                   -1.941       1.796 -0.6327000
## 2462   7.846 0.9371             0.1195000 -1.794 -2.275             -0.6799000
## 1757   6.042                    0.6287000 -1.923 -1.624       1.815 -1.0420000
## 1771   4.486        -7.580e-02            -2.263        2.008 1.698 -0.6094000
## 2854   3.658 1.0620             0.4721000               2.175                 
## 3907   5.928        -7.562e-01                                1.987           
## 3851   7.351        -1.142e+00            -1.903                              
## 414    6.791 0.6544             0.4964000 -1.733 -1.936             -1.1290000
## 1019   5.365         6.676e-02            -2.262 -1.887 2.236 1.503 -0.7572000
## 1156   5.646 0.4511 -3.265e-01                                      -1.1190000
## 3909   5.063                    0.6606000                     2.143           
## 1749   5.115                    0.7690000        -1.623       1.641 -1.1430000
## 1453   5.065                    0.4546000 -2.097        2.226       -0.4892000
## 1898   3.898 0.5076                       -2.313        2.229 1.607           
## 981    5.065                    0.8017000        -1.624       1.634 -1.1160000
## 3523   6.314        -5.954e-01                                2.140 -0.5610000
## 2703   6.832        -1.190e+00  0.3642000 -1.832                    -0.1751000
## 1802   5.278 0.3328                       -1.841                              
## 2903   6.345        -7.484e-01  0.5394000        -1.840       1.841           
## 3236   5.387 1.0870 -8.298e-01                          2.209       -0.1768000
## 1644   3.862 0.5114 -1.244e-01            -2.311        2.218 1.581           
## 388    5.515 0.4462 -3.604e-01                                      -1.1000000
## 1238   5.190 0.5371             0.8394000        -1.708       1.715 -1.2530000
## 1246   6.120 0.4586             0.6902000 -1.917 -1.698       1.885 -1.1400000
## 727    5.029        -2.538e-02  0.7870000        -1.623       1.627 -1.1200000
## 1514   4.543 0.5418                       -2.281        2.138 1.786 -0.7138000
## 3018   5.778 0.4486                       -2.006              2.150 -0.4545000
## 1327   4.943        -4.645e-01  0.5754000 -2.133        2.278                 
## 2831   6.799        -1.227e+00  0.3899000 -1.843                              
## 1104   4.669 0.2389 -2.294e-01  1.0000000 -1.972              2.069           
## 1260   4.463 0.5502  5.054e-02            -2.279        2.137 1.789 -0.7213000
## 2455   7.801        -8.146e-01  0.2418000        -2.095             -0.6221000
## 2503   5.414        -7.672e-01  0.7290000                     2.119 -0.4125000
## 3364   5.298 1.0870 -8.550e-01                          2.236                 
## 1482   5.762 0.2083                       -1.990              2.025 -1.0720000
## 1228   5.746 0.2100 -1.937e-02            -1.990              2.020 -1.0710000
## 144    5.937 0.4742 -5.176e-01  0.6938000 -1.737                    -0.8220000
## 3714   5.800 0.7050                                                 -0.6362000
## 989    5.884                    0.6757000 -1.902 -1.627       1.796 -0.9994000
## 1358   4.664 0.2364             1.0010000 -1.972              2.109           
## 1359   4.912        -2.599e-01  0.9934000 -1.981              2.099           
## 735    5.874        -7.560e-02  0.6670000 -1.904 -1.620       1.782 -0.9965000
## 3861   6.973                    0.2293000        -2.034                       
## 1917   4.787                    0.6015000 -2.287 -1.766 2.289 1.566           
## 1003   4.391        -1.857e-01            -2.248        2.023 1.653 -0.5571000
## 216    5.035 0.5330  6.926e-02  0.8592000        -1.719       1.713 -1.2340000
## 1556   5.302 0.4866 -3.342e-01                   -1.721                       
## 470    5.082 0.5277             0.8700000        -1.711       1.708 -1.2230000
## 1410   5.479 0.4750                                                 -1.1550000
## 788    5.352 0.4863 -3.272e-01                   -1.721                       
## 2216   4.769 1.0840 -9.527e-01  0.4962000               2.185       -0.0779400
## 2807   5.758        -5.825e-01  0.3065000        -2.102 2.002 1.646 -0.2404000
## 799    6.229        -4.998e-01  0.6233000 -1.816 -1.644                       
## 2344   4.713 1.0870 -9.576e-01  0.4963000               2.196                 
## 336    4.639 0.2241 -3.150e-01  1.0450000 -1.954              2.054           
## 1843   4.592        -2.101e-01                   -1.890 2.128                 
## 2694   5.006 0.7083             0.5546000                           -0.5403000
## 876    3.822 0.4927 -2.146e-01            -2.294        2.220 1.549           
## 3029   6.214                    0.4403000        -1.929       1.911 -0.6767000
## 3359   9.092        -9.034e-01  0.0478600 -1.929 -2.103                       
## 1391   4.116        -1.554e-01  0.8020000 -2.266        2.071 1.907           
## 1531   5.758         2.305e-01            -2.294 -1.924 2.246 1.658 -0.8617000
## 264    4.661 0.4750 -5.492e-01  0.9842000                                     
## 4033   5.759                                                  2.092 -0.6276000
## 1332   4.446 0.9285 -1.350e-02                   -2.078 2.397                 
## 1483   5.873        -3.712e-02            -1.998              2.043 -1.0480000
## 1032   4.589 0.4779 -5.493e-01  0.9802000                                     
## 1567   6.121        -4.858e-01  0.6083000 -1.814 -1.647                       
## 1427   6.782        -1.034e-01                   -1.899             -1.2980000
## 3684   4.634 0.8881 -6.474e-01                          1.974 1.756           
## 3590   5.147 0.7254             0.5383000                                     
## 895    4.690        -6.972e-02  0.6208000 -2.272 -1.765 2.286 1.541           
## 2664   3.834 0.8902 -7.919e-01  0.6751000               1.917 1.724           
## 3869   8.117                    0.0249500 -1.898 -2.078                       
## 3686   3.878 0.9355             0.5668000               1.958 1.888           
## 2886   4.228 0.5518             0.8003000                     2.019           
## 1451   5.474        -3.393e-01            -2.145        2.239       -0.5390000
## 2935   5.664        -6.279e-01  0.3359000        -2.086 2.037 1.640           
## 3906   5.313 0.5355                                           2.043           
## 1827   3.789        -4.709e-01                          1.900                 
## 1663   4.662         9.278e-03  0.5749000 -2.286 -1.769 2.283 1.557           
## 2479   6.314        -1.075e+00  0.1938000 -2.208        2.388        0.1818000
## 1180   7.390 0.5981 -1.189e-01            -1.792 -1.953             -1.2290000
## 2884   5.302 0.4839 -8.771e-01                                1.844           
## 1434   7.308 0.6105                       -1.788 -1.965             -1.2450000
## 2955   7.072        -1.176e+00            -1.860                    -0.2242000
## 2502   4.674 0.5758             0.7506000                     2.140 -0.5647000
## 2978   4.026 1.0260                                     2.166       -0.2372000
## 1810   5.204 0.5056                              -1.755                       
## 1404   4.890 0.7456  1.814e-01            -2.365 -1.949 2.556 1.510           
## 478    5.918 0.4472             0.7357000 -1.893 -1.704       1.869 -1.0970000
## 3351   7.927        -8.532e-01  0.2519000        -2.064                       
## 224    5.899 0.4497  1.191e-02  0.7304000 -1.893 -1.706       1.869 -1.1000000
## 296    3.402 0.8003 -3.928e-01  0.8839000               2.069                 
## 1459   5.594         5.482e-03                   -2.061 2.062       -0.9793000
## 3059   5.961        -5.674e-01                   -2.141 2.029 1.610 -0.2819000
## 1064   3.315 0.8051 -3.849e-01  0.8744000               2.067                 
## 2551   5.897        -5.509e-01  0.3080000        -2.132 2.017 1.721 -0.2669000
## 1411   5.838        -3.569e-01                                      -1.0720000
## 2989   5.199                    0.1610000 -2.155        2.348        0.0554200
## 3302   4.209 0.9451             0.5429000               1.932 1.982 -0.2743000
## 1166   5.900 0.5033             0.6226000 -1.737                    -0.9068000
## 328    3.684 0.3000 -2.731e-01  1.2020000                     1.893           
## 3477   7.889                    0.1056000        -2.167             -0.7961000
## 412    7.200 0.5891 -1.739e-01            -1.779 -1.953             -1.2000000
## 3011   5.623        -7.940e-01                                1.899 -0.4643000
## 3623   5.092        -9.688e-01  0.3522000               1.917                 
## 1096   3.639 0.3120 -2.238e-01  1.1720000                     1.894           
## 1754   6.390 0.3905                       -1.954 -1.719       1.690 -1.2050000
## 3013   4.711                    0.6930000                     2.059 -0.5049000
## 492    4.297 0.5285 -6.808e-02            -2.258        2.149 1.747 -0.6643000
## 1350   3.632 0.3098             1.1730000                     1.933           
## 1501   6.384                    0.6566000 -1.937 -1.655       1.942 -1.0970000
## 3300   4.919 0.9011 -5.590e-01                          1.957 1.877 -0.2498000
## 1247   6.297         9.131e-02  0.6330000 -1.936 -1.665       1.946 -1.1130000
## 2973   7.769                    0.0597100 -1.817 -2.094             -0.5678000
## 742    2.685 0.6471             0.9259000               1.711 1.552 -0.6907000
## 1564   6.266 0.4556 -3.828e-01            -1.862 -1.730                       
## 796    6.271 0.4496 -4.026e-01            -1.860 -1.729                       
## 2463   8.763        -9.147e-01  0.0869500 -1.857 -2.116             -0.4707000
## 1167   6.296        -5.003e-01  0.6115000 -1.763                    -0.8071000
## 3430   4.083 0.9419             0.5752000               1.977 1.983           
## 398    5.693 0.4972             0.6501000 -1.719                    -0.8764000
## 1899   4.272        -1.736e-01            -2.314        2.119 1.646           
## 2855   4.944        -1.035e+00  0.4139000               1.915                 
## 460    5.531 0.1888 -1.417e-01            -1.965              1.974 -1.0130000
## 399    6.235        -5.478e-01  0.6407000 -1.754                    -0.7822000
## 1821   6.066                    0.5758000 -1.809 -1.696                       
## 1351   3.913        -2.560e-01  1.1570000                     1.930           
## 2727   4.902        -1.019e+00  0.3975000               1.912       -0.0046220
## 2500   5.641 0.5119 -7.300e-01                                2.003 -0.5444000
## 1318   3.211 0.8208             0.8494000               2.098                 
## 758    3.771 0.8632             0.7462000        -1.885 1.967 1.310 -0.9105000
## 2822   4.738 0.6996             0.5975000                                     
## 3428   4.843 0.8967 -6.034e-01                          1.998 1.870           
## 2468   5.021 1.0490 -9.163e-01                          2.205       -0.1456000
## 2944   6.182 1.2040 -6.456e-01  0.1617000 -2.388 -2.330 2.701 1.685           
## 1287   4.930        -5.854e-01  0.9294000                                     
## 1811   5.572        -3.792e-01                   -1.678                       
## 3080   6.271 0.7489 -1.022e+00  0.5694000                                     
## 1493   5.475                    0.7985000        -1.658       1.777 -1.2040000
## 1220   4.877 0.2758  1.830e-02                                1.834 -1.2190000
## 1474   4.890 0.2744                                           1.832 -1.2170000
## 2816   6.219 1.1970 -6.599e-01  0.1757000 -2.387 -2.325 2.701 1.685  0.0048580
## 1239   5.387         1.095e-01  0.7739000        -1.670       1.784 -1.2230000
## 1286   4.416 0.4976             0.9379000                                     
## 2184   6.133 0.7323 -1.024e+00  0.5896000                           -0.4442000
## 3875   5.386        -9.621e-01                          1.952                 
## 2946   5.308 0.6701                                                 -0.6148000
## 3747   5.358        -9.373e-01                          1.936       -0.0799700
## 3068   6.294 1.1960 -6.369e-01            -2.401 -2.350 2.715 1.668 -0.0216000
## 1183   7.350        -2.298e-01  0.4217000 -1.774 -1.857             -1.0670000
## 1515   4.840         3.137e-03            -2.285        2.034 1.857 -0.6806000
## 2560   6.267 1.2110 -6.238e-01  0.1607000 -2.394 -2.350 2.712 1.732 -0.0181100
## 3810   4.440 0.8999                                     1.950 1.846 -0.3172000
## 471    5.310         3.365e-02  0.8158000        -1.667       1.768 -1.1830000
## 3842   5.501 0.6840                                                           
## 3722   6.690 0.6741                       -1.835                    -0.4836000
## 3061   5.450                    0.2824000        -2.144 2.017 1.703 -0.3420000
## 1188   4.225 0.7552 -2.105e-01                          1.999       -0.8254000
## 3204   6.832 0.7225 -8.980e-01                                      -0.5600000
## 3485   8.937                   -0.0792400 -1.875 -2.200             -0.6686000
## 986    6.167 0.3771                       -1.930 -1.727       1.656 -1.1640000
## 1746   5.533 0.4557                              -1.738       1.486 -1.3420000
## 732    6.175 0.3760 -2.559e-03            -1.930 -1.727       1.656 -1.1640000
## 1407   4.985         5.792e-02  0.6141000 -2.307 -1.803 2.319 1.689           
## 1818   6.157 0.4766                       -1.855 -1.769                       
## 415    7.251        -2.787e-01  0.4498000 -1.764 -1.854             -1.0400000
## 479    6.140        -1.895e-02  0.6928000 -1.913 -1.662       1.917 -1.0560000
## 2280   4.065 0.8973 -7.352e-01  0.6812000               1.927 1.853 -0.1118000
## 2009   6.575                              -1.968 -1.680       1.739 -1.1620000
## 420    4.145 0.7483 -2.445e-01                          2.002       -0.8075000
## 1437   7.312                    0.3966000 -1.770 -1.882             -1.0980000
## 1755   6.507         8.382e-02            -1.966 -1.688       1.750 -1.1740000
## 1475   5.010         3.957e-05                                1.861 -1.1910000
## 2408   4.020 0.8976 -7.523e-01  0.6911000               1.944 1.851           
## 3717   5.707                    0.4044000                           -0.5394000
## 1442   4.133 0.7700                                     2.010       -0.8465000
## 3010   4.937 0.5102                                           1.942 -0.6254000
## 3238   4.704 1.1340             0.3663000               2.214       -0.2665000
## 724    5.370 0.4482  6.201e-02                   -1.750       1.475 -1.3200000
## 452    4.707 0.2606 -7.255e-02                                1.800 -1.1740000
## 978    5.388 0.4467                              -1.743       1.465 -1.3140000
## 1612   5.011 0.1291 -2.552e-01            -2.030              1.781           
## 2979   5.165        -1.010e+00                          1.941       -0.0537400
## 1867   5.153        -2.757e-01            -2.035              1.796           
## 1164   6.503 0.4077 -3.922e-01            -1.801                    -0.9759000
## 3598   6.242 0.6837             0.3436000 -1.833                              
## 3938   4.287 0.8963                                     2.003 1.838           
## 1421   6.179                    0.5612000 -1.753                    -0.8678000
## 2312   5.963 0.7254 -1.088e+00  0.6264000                                     
## 1819   6.535        -4.277e-01            -1.871 -1.690                       
## 3366   4.530 1.1370             0.3862000               2.255                 
## 1915   5.108         4.420e-02            -2.343 -1.821 2.358 1.484           
## 1866   4.968 0.1309                       -2.030              1.827           
## 423    4.326        -3.837e-01  0.6925000               1.833       -0.6217000
## 1244   6.620 0.4007  1.947e-01            -1.965 -1.771       1.837 -1.2920000
## 1388   4.198 0.5032 -4.288e-02            -2.340        2.259 1.752           
## 3554   4.619 0.9103                                     1.963 1.936 -0.3427000
## 844    4.950 0.1132 -3.383e-01            -2.013              1.749           
## 1191   4.268        -3.617e-01  0.6742000               1.827       -0.6317000
## 1048   5.365 0.6155 -3.161e-01  0.8624000        -1.767                       
## 280    5.418 0.6144 -3.111e-01  0.8627000        -1.766                       
## 396    6.336 0.3973 -4.487e-01            -1.788                    -0.9465000
## 1435   7.634        -1.690e-01            -1.807 -1.896             -1.1580000
## 1498   6.703 0.3890                       -1.969 -1.754       1.812 -1.2680000
## 3088   7.399 0.7051 -1.075e+00  0.3727000 -1.869                              
## 987    6.334        -2.574e-02            -1.945 -1.687       1.699 -1.1220000
## 3490   4.921 1.1130                                     2.228       -0.3138000
## 3212   7.775 0.6886 -9.906e-01            -1.878                    -0.3870000
## 248    3.922 0.8757  1.905e-01  0.7520000        -1.942 1.998 1.443 -0.9813000
## 3969   5.997                                                        -0.5966000
## 3850   6.471 0.6586                       -1.866                              
## 1270   4.093 0.8704             0.7494000        -1.918 1.980 1.431 -0.9807000
## 1418   6.319 0.4346                       -1.789                    -1.0200000
## 502    4.045 0.8615             0.7784000        -1.921 1.990 1.429 -0.9556000
## 2949   5.311                    0.4701000                           -0.5149000
## 2788   4.312 0.8366 -7.639e-01                          1.947 1.658 -0.1547000
## 1302   5.280 0.6290             0.8364000        -1.798                       
## 1747   5.659         1.113e-01                   -1.703       1.558 -1.3090000
## 1335   4.755        -1.870e-01  0.6298000        -1.932 2.153                 
## 3501   6.280                    0.0371200 -2.219        2.412       -0.0306200
## 2916   4.232 0.8393 -7.822e-01                          1.971 1.653           
## 2001   5.723                                     -1.693       1.541 -1.2940000
## 1445   4.217                    0.6449000               1.849       -0.6693000
## 272    5.610 0.4193 -6.089e-01  0.8242000 -1.784                              
## 1040   5.603 0.4254 -5.816e-01  0.8080000 -1.789                              
## 3332   6.630 0.7042 -9.877e-01                                                
## 2790   3.431 0.8898             0.6535000               1.922 1.809 -0.2031000
## 1419   6.693        -4.221e-01            -1.811                    -0.9319000
## 870    2.343 0.6144             1.0420000               1.814 1.530           
## 2436   6.431 0.6895 -9.769e-01                                      -0.5298000
## 616    2.368 0.6188 -2.153e-01  1.0280000               1.796 1.493           
## 3845   5.448                    0.4688000                                     
## 3764   6.199 1.4020 -6.301e-01                   -2.446 2.493       -0.2878000
## 2918   3.312 0.8927             0.6662000               1.953 1.805           
## 997    3.140                    0.8848000               1.596 1.632 -0.6526000
## 979    5.549         3.626e-02                   -1.702       1.524 -1.2720000
## 3340   7.644 0.6763 -1.052e+00            -1.904                              
## 1638   2.286 0.6261             1.0140000               1.809 1.526           
## 1254   3.076 0.6516             0.9333000               1.721 1.712 -0.7763000
## 743    3.145        -1.739e-01  0.8691000               1.580 1.601 -0.6487000
## 1499   6.795         1.634e-01            -1.980 -1.729       1.882 -1.2450000
## 1765   3.147                    0.8462000               1.582 1.635 -0.6816000
## 3687   4.669        -6.796e-01  0.5178000               1.738 1.885           
## 1236   5.775 0.4684  2.351e-01                   -1.798       1.650 -1.4420000
## 2702   5.887 0.6538             0.4046000 -1.761                    -0.4085000
## 486    3.004 0.6403             0.9700000               1.733 1.709 -0.7436000
## 3640   5.967 1.4030 -6.903e-01  0.1527000        -2.414 2.521                 
## 232    2.990 0.6444 -7.139e-02  0.9593000               1.726 1.694 -0.7444000
## 3892   6.065 1.3960 -6.780e-01                   -2.431 2.534                 
## 3070   5.825 1.2160             0.1343000 -2.370 -2.378 2.716 1.746 -0.1165000
## 3207   6.758        -9.475e-01  0.4411000                           -0.4512000
## 476    6.391 0.3825  7.933e-02            -1.940 -1.774       1.790 -1.2360000
## 1490   5.853 0.4568                              -1.777       1.618 -1.4130000
## 2470   4.176 1.1010             0.4446000               2.209       -0.2378000
## 3206   6.045 0.7779             0.4595000                           -0.6496000
## 2192   7.093 0.6760 -1.126e+00  0.4383000 -1.810                    -0.2916000
## 1295   5.919        -6.151e-01  0.7627000 -1.802                              
## 1630   5.146 0.3826             0.8453000 -1.953 -1.552       1.749           
## 1319   3.953        -4.538e-01  0.7972000               1.922                 
## 608    5.117 0.3742 -1.831e-01  0.8709000 -1.942 -1.540       1.712           
## 3725   6.720                    0.2293000 -1.826                    -0.4140000
## 2830   5.678 0.6505             0.4269000 -1.787                              
## 468    5.590 0.4562  1.509e-01                   -1.800       1.615 -1.3990000
## 2954   6.096 0.6303                       -1.794                    -0.4609000
## 862    5.092 0.3719             0.8781000 -1.937 -1.556       1.741           
## 2534   3.602 0.9024             0.6527000               1.938 1.915 -0.2341000
## 2320   6.968 0.6744 -1.162e+00  0.4536000 -1.830                              
## 3977   6.888                              -1.846                    -0.4448000
## 1778   4.384 0.8015                              -1.947 2.002 1.222 -1.0570000
## 756    4.204 0.8055  1.859e-01                   -1.972 2.021 1.233 -1.0550000
## 2532   4.470 0.8514 -7.026e-01                          1.966 1.787 -0.2002000
## 1604   4.033 0.1845 -2.448e-01                                1.566           
## 2439   6.461        -1.019e+00  0.5056000                           -0.4191000
## 3303   4.948        -6.038e-01  0.5035000               1.734 2.008 -0.1647000
## 3431   4.952        -6.477e-01  0.5391000               1.763 2.009           
## 836    4.031 0.1740 -2.898e-01                                1.552           
## 1294   5.412 0.4467             0.7637000 -1.781                              
## 3335   6.610        -1.032e+00  0.4996000                                     
## 854    4.147 0.4456             1.0340000        -1.547       1.566           
## 600    4.143 0.4504 -1.445e-01  1.0230000        -1.535       1.541           
## 1010   4.305 0.7927                              -1.951 2.011 1.208 -1.0330000
## 1859   4.186        -2.652e-01                                1.586           
## 1303   5.748        -3.619e-01  0.7945000        -1.720                       
## 1622   4.100 0.4550             1.0130000        -1.548       1.562           
## 3459   7.057        -9.108e-01                                      -0.5190000
## 1858   3.980 0.1875                                           1.609           
## 1491   5.951         2.026e-01                   -1.749       1.700 -1.3890000
## 1885   5.430                    0.8200000 -1.968 -1.519       1.799           
## 863    5.396        -2.269e-01  0.8505000 -1.955 -1.504       1.753           
## 1316   3.804 0.7024 -2.966e-01                          2.119                 
## 3811   5.096        -6.260e-01                          1.756 1.848 -0.1942000
## 3749   4.732                    0.2922000               1.942       -0.1992000
## 2444   7.307 0.6469 -1.088e+00            -1.844                    -0.3532000
## 3458   6.308 0.7513                                                 -0.7121000
## 1631   5.380        -1.570e-01  0.8105000 -1.967 -1.507       1.767           
## 1443   4.693        -2.780e-01                          1.863       -0.7664000
## 2744   5.697 1.3620 -7.542e-01  0.2173000        -2.396 2.471       -0.2152000
## 3853   6.530                    0.2749000 -1.848                              
## 871    2.891        -2.825e-01  0.9965000               1.679 1.564           
## 3939   5.085        -6.725e-01                          1.790 1.839           
## 3877   4.647                    0.3200000               1.975                 
## 2919   4.350        -8.048e-01  0.6157000               1.739 1.809           
## 2791   4.337        -7.787e-01  0.5942000               1.726 1.811 -0.0700800
## 1056   6.398 0.5638 -3.464e-01  0.6872000 -1.808 -1.785                       
## 288    6.385 0.5595 -3.690e-01  0.6997000 -1.803 -1.784                       
## 2872   5.573 1.3650 -7.801e-01  0.2298000        -2.385 2.500                 
## 4018   5.899 1.4320                              -2.499 2.518       -0.3977000
## 2996   5.795 1.3560 -7.268e-01                   -2.423 2.483       -0.2496000
## 3215   7.815        -1.026e+00  0.2667000 -1.867                    -0.3077000
## 3766   5.884 1.4300             0.0767600        -2.489 2.515       -0.3862000
## 1284   5.139 0.3566 -4.484e-01                                                
## 886    3.245 0.8149             0.8968000        -1.801 2.088 1.289           
## 3256   6.466 1.4460 -5.853e-01  0.0988200        -2.507 2.538       -0.3223000
## 3508   6.492 1.4450 -5.678e-01                   -2.519 2.542       -0.3389000
## 1893   2.790                    0.9732000               1.693 1.609           
## 3813   4.459                    0.4732000               1.730 1.974 -0.2421000
## 4001   4.961                                            1.961       -0.2368000
## 3903   7.869        -7.808e-01 -0.2093000 -2.312 -2.325 2.631                 
## 1639   2.754        -2.424e-01  0.9631000               1.673 1.561           
## 3775   7.829        -7.736e-01 -0.2179000 -2.313 -2.326 2.631        0.0096010
## 632    3.155 0.8259  2.286e-02  0.8737000        -1.804 2.086 1.285           
## 1654   3.162 0.8249             0.8754000        -1.802 2.085 1.282           
## 3042   3.818 0.8488                                     1.957 1.740 -0.2831000
## 3941   4.376                    0.5119000               1.771 1.973           
## 3467   8.007        -1.005e+00            -1.890                    -0.3465000
## 855    4.464        -1.943e-01  0.9975000        -1.492       1.588           
## 1356   5.379 0.1162 -1.560e-01            -2.058              1.981           
## 3343   7.724        -1.085e+00  0.3046000 -1.885                              
## 1268   4.541 0.8248  3.331e-01                   -2.015 2.035 1.382 -1.1560000
## 1013   4.288                    0.6910000        -1.790 1.799 1.425 -0.8542000
## 1310   6.300 0.5791             0.6588000 -1.804 -1.819                       
## 1509   3.546                    0.8889000               1.604 1.797 -0.7422000
## 4027   7.703        -8.038e-01            -2.293 -2.297 2.614        0.0431600
## 1762   3.412 0.5614                                     1.743 1.454 -0.8656000
## 2438   5.497 0.7500             0.5298000                           -0.6214000
## 1877   4.409                    0.9807000        -1.509       1.618           
## 3384   6.285 1.4440 -6.361e-01  0.1297000        -2.489 2.583                 
## 3334   5.704 0.7641             0.5205000                                     
## 1781   4.276                    0.6583000        -1.790 1.788 1.426 -0.8772000
## 1623   4.362        -1.634e-01  0.9717000        -1.497       1.585           
## 759    4.196         7.841e-02  0.6611000        -1.800 1.796 1.431 -0.8752000
## 487    3.463        -1.244e-01  0.9183000               1.608 1.770 -0.7047000
## 1255   3.470        -5.095e-02  0.8720000               1.596 1.780 -0.7429000
## 3894   5.626 1.4290             0.1110000        -2.470 2.571                 
## 2981   4.360                    0.3649000               1.944       -0.1731000
## 740    3.321 0.5500 -8.625e-02                          1.749 1.422 -0.8299000
## 3555   5.360        -5.808e-01                          1.774 1.967 -0.2318000
## 994    3.302 0.5498                                     1.755 1.435 -0.8353000
## 2957   6.168                    0.3195000 -1.783                    -0.3845000
## 3239   5.668        -8.865e-01  0.3253000               1.976       -0.1071000
## 360    2.681 0.6083 -1.665e-01  1.0880000               1.833 1.674           
## 3367   5.660        -9.128e-01  0.3459000               1.994                 
## 1382   2.670 0.6160             1.0670000               1.840 1.700           
## 1522   4.692 0.8023                              -1.984 2.021 1.342 -1.1170000
## 500    4.405 0.8132  2.577e-01                   -2.018 2.045 1.353 -1.1180000
## 3557   4.709                    0.4850000               1.745 2.074 -0.2664000
## 1128   2.620 0.6210 -1.160e-01  1.0560000               1.830 1.674           
## 1374   5.511 0.3723             0.8867000 -1.973 -1.583       1.901           
## 1120   5.454 0.3779 -5.223e-02  0.8764000 -1.972 -1.580       1.886           
## 3214   7.061 0.7317             0.2813000 -1.817                    -0.5215000
## 1300   5.854 0.5149 -2.179e-01                   -1.821                       
## 1292   6.105 0.3231 -5.023e-01            -1.865                              
## 4091   7.438        -4.947e-01            -2.459 -2.196 2.443 1.946 -0.0494300
## 3967   7.448        -5.017e-01 -0.0369300 -2.468 -2.199 2.456 1.941           
## 4065   4.845                                            1.766 1.932 -0.3013000
## 3491   5.915        -8.657e-01                          1.998       -0.1520000
## 352    5.412 0.3656 -1.287e-01  0.9155000 -1.956 -1.580       1.871           
## 3839   7.425        -4.779e-01 -0.0572600 -2.463 -2.206 2.445 1.941 -0.0607800
## 3583   7.534        -4.757e-01 -0.0466500 -2.468 -2.214 2.453 1.971 -0.0661700
## 2535   4.568        -7.403e-01  0.6146000               1.748 1.943 -0.1069000
## 2447   7.397        -1.120e+00  0.3555000 -1.832                    -0.2677000
## 1726   5.091 1.0180             0.3688000 -2.130 -2.090 2.560       -0.6906000
## 3510   6.177 1.4700             0.0456200        -2.555 2.559       -0.4284000
## 3466   7.199 0.7188                       -1.841                    -0.5578000
## 704    5.040 1.0060 -1.241e-01  0.3954000 -2.124 -2.075 2.553       -0.6592000
## 2471   5.405        -9.650e-01  0.3971000               1.979       -0.0724000
## 958    5.027 1.0100             0.3952000 -2.121 -2.090 2.565       -0.6672000
## 1311   6.760        -3.891e-01  0.6240000 -1.824 -1.742                       
## 1375   5.738        -8.765e-02  0.8520000 -1.987 -1.546       1.932           
## 3043   4.717        -7.662e-01                          1.772 1.745 -0.1428000
## 1525   4.627                    0.6916000        -1.823 1.810 1.552 -0.9282000
## 1271   4.490         1.903e-01  0.6524000        -1.843 1.812 1.566 -0.9592000
## 1366   4.477 0.4457             1.0580000        -1.582       1.726           
## 344    4.454 0.4414 -8.700e-02  1.0720000        -1.578       1.710           
## 503    4.462         1.213e-01  0.6943000        -1.840 1.822 1.555 -0.9227000
## 1112   4.424 0.4510 -4.666e-02  1.0490000        -1.580       1.712           
## 3461   6.328                    0.3782000                           -0.6190000
## 2017   3.770                                            1.638 1.528 -0.8291000
## 2488   5.982 1.4070 -6.878e-01  0.1865000        -2.480 2.527       -0.2745000
## 1398   3.506 0.8196             0.9182000        -1.836 2.116 1.424           
## 376    3.424 0.8223  6.796e-02  0.9184000        -1.845 2.123 1.426           
## 1763   3.719        -5.787e-02                          1.631 1.515 -0.8252000
## 1144   3.377 0.8326  1.082e-01  0.8933000        -1.847 2.120 1.426           
## 2998   5.279 1.3900             0.1631000        -2.462 2.501       -0.3505000
## 1978   5.410 0.9762                       -2.164 -2.117 2.581       -0.7548000
## 3007   7.349        -8.954e-01 -0.1033000 -2.271 -2.292 2.618        0.0640200
## 995    3.679        -1.293e-01                          1.644 1.487 -0.7908000
## 1724   5.381 0.9769 -4.093e-02            -2.164 -2.112 2.575       -0.7520000
## 3342   6.788 0.7218             0.3234000 -1.846                              
## 1308   6.827 0.4820 -2.710e-01            -1.872 -1.828                       
## 956    5.321 0.9624 -9.386e-02            -2.157 -2.108 2.577       -0.7257000
## 4093   7.279                   -0.0766700 -2.457 -2.240 2.458 2.000 -0.1472000
## 3045   3.907                    0.5808000               1.742 1.894 -0.1995000
## 3519   8.255        -7.199e-01 -0.2413000 -2.327 -2.401 2.684       -0.0428500
## 1383   3.137        -1.692e-01  1.0180000               1.712 1.751           
## 1779   4.691         1.885e-01                   -1.871 1.841 1.365 -1.0230000
## 1252   3.714 0.5642  8.047e-02                          1.763 1.621 -0.9484000
## 1506   3.781 0.5570                                     1.762 1.612 -0.9389000
## 2033   4.812                                     -1.853 1.840 1.337 -0.9971000
## 1348   4.396 0.1737 -1.323e-01                                1.780           
## 1011   4.640         1.213e-01                   -1.870 1.852 1.338 -0.9907000
## 1882   5.795 0.2808                       -2.025 -1.604       1.651           
## 1367   4.733        -8.457e-02  1.0170000        -1.539       1.763           
## 1628   5.771 0.2833 -7.002e-02            -2.024 -1.599       1.637           
## 4029   7.568                   -0.2698000 -2.295 -2.391 2.659       -0.1321000
## 860    5.699 0.2703 -1.444e-01            -2.008 -1.600       1.607           
## 484    3.587 0.5497 -3.270e-03                          1.773 1.591 -0.9064000
## 1883   5.960        -9.767e-02            -2.033 -1.571       1.671           
## 832    4.722 0.9634 -2.212e-01  0.5100000 -2.172 -2.001 2.637                 
## 1600   4.658 0.9731 -1.893e-01  0.4886000 -2.175 -2.005 2.637                 
## 1854   4.675 0.9789             0.4844000 -2.175 -2.026 2.658                 
## 868    2.972 0.5012 -1.799e-01                          1.872 1.360           
## 1636   2.951 0.5131 -1.333e-01                          1.869 1.373           
## 1890   2.961 0.5117                                     1.880 1.398           
## 887    3.746        -5.825e-02  0.8251000        -1.709 1.914 1.389           
## 1909   3.732                    0.8194000        -1.715 1.918 1.398           
## 2446   6.369 0.6972             0.3757000 -1.765                    -0.4900000
## 648    4.487 0.5141 -5.302e-01  0.8145000                           -0.8313000
## 3493   5.284                    0.2727000               1.999       -0.2590000
## 1655   3.624        -2.508e-02  0.7964000        -1.714 1.910 1.384           
## 3469   7.331                    0.2013000 -1.836                    -0.4917000
## 1523   4.979         2.634e-01                   -1.913 1.864 1.491 -1.0900000
## 3696   5.421 0.9264 -6.734e-01  0.3249000 -2.384        2.312 2.016           
## 3632   5.704 1.0890 -9.759e-01  0.1802000 -2.218        2.508                 
## 3756   5.783 1.0720 -9.971e-01            -2.254        2.553        0.1682000
## 1906   3.776 0.7333                              -1.865 2.155 1.164           
## 1507   4.069         3.712e-02                          1.655 1.689 -0.9086000
## 1652   3.678 0.7448  1.011e-01                   -1.875 2.160 1.175           
## 884    3.688 0.7356  6.404e-02                   -1.874 2.162 1.165           
## 3884   5.873 1.0710 -9.738e-01            -2.239        2.525                 
## 3440   5.622 0.9280 -6.505e-01  0.3375000 -2.399        2.333 2.104           
## 3312   5.539 0.9330 -6.559e-01  0.3351000 -2.406        2.346 2.099  0.0848700
## 3948   5.713 0.8986 -6.706e-01            -2.419        2.345 1.994           
## 3820   5.644 0.9028 -6.750e-01            -2.424        2.356 1.990  0.0705100
## 1874   4.813 0.3379                              -1.611       1.434           
## 1620   4.800 0.3393 -5.877e-02                   -1.607       1.422           
## 1852   5.021 0.9140 -1.475e-01            -2.228 -2.039 2.680                 
## 1891   3.340        -1.788e-01                          1.768 1.437           
## 852    4.786 0.3315 -9.534e-02                   -1.607       1.410           
## 1670   4.335 0.5368             0.7681000                           -0.8946000
## 902    4.312 0.5312             0.7828000                           -0.8820000
## 1470   5.581 1.0460             0.3715000 -2.142 -2.166 2.619       -0.7689000
## 1216   5.551 1.0480  5.686e-03  0.3654000 -2.142 -2.167 2.618       -0.7718000
## 903    4.847        -5.846e-01  0.7753000                           -0.7787000
## 1671   4.720        -5.776e-01  0.7631000                           -0.7786000
## 448    5.452 1.0380 -5.268e-02  0.3980000 -2.131 -2.163 2.619       -0.7394000
## 1372   6.093 0.2777  2.051e-02            -2.047 -1.643       1.801           
## 688    4.034 0.7826 -4.600e-01  0.5882000 -2.080        2.277       -0.3772000
## 3564   5.841 0.9066 -6.427e-01            -2.438        2.372 2.077  0.0447100
## 1875   4.995        -8.691e-02                   -1.574       1.461           
## 950    4.217 1.0200             0.5806000        -2.039 2.176       -0.8576000
## 696    4.205 1.0210 -6.783e-02  0.5749000        -2.031 2.167       -0.8569000
## 2736   5.235 1.0460 -1.117e+00  0.2944000 -2.198        2.523        0.2401000
## 1718   4.185 1.0260             0.5685000        -2.040 2.172       -0.8650000
## 1399   3.965         3.808e-02  0.8391000        -1.754 1.948 1.537           
## 1468   5.818 1.0130  5.318e-02            -2.174 -2.199 2.639       -0.8424000
## 3296   8.092 0.7810 -5.011e-01  0.2285000 -2.073 -2.045       2.144 -0.5463000
## 816    3.929 0.7557 -5.289e-01  0.6647000 -2.108        2.334                 
## 3804   8.182 0.7605 -5.112e-01            -2.085 -2.051       2.076 -0.5599000
## 2864   5.326 1.0460 -1.078e+00  0.2740000 -2.177        2.484                 
## 3071   6.748        -6.737e-01  0.0980000 -2.392 -2.163 2.438 1.813  0.0227200
## 1584   3.823 0.7669 -4.959e-01  0.6407000 -2.109        2.331                 
## 3548   8.268 0.7695 -4.811e-01            -2.091 -2.071       2.126 -0.5812000
## 664    5.500 0.6742 -2.529e-01  0.6566000        -1.806             -1.1120000
## 2988   5.425 1.0210 -1.104e+00            -2.224        2.542        0.2052000
## 3732   7.555 0.9494 -7.502e-01                   -2.156             -0.6774000
## 1710   3.944 0.8097             0.5369000 -2.077        2.304       -0.4404000
## 3320   5.851 1.2680 -3.754e-01  0.2567000        -2.324 2.284 1.659 -0.3535000
## 1686   5.464 0.6885             0.6291000        -1.836             -1.1490000
## 942    3.879 0.7996             0.5677000 -2.068        2.311       -0.4137000
## 918    5.437 0.6847             0.6395000        -1.836             -1.1400000
## 3950   5.103 0.9296             0.3126000 -2.383        2.345 2.101           
## 3822   5.085 0.9330             0.3052000 -2.382        2.342 2.099 -0.0122300
## 1925   4.656                    0.7127000                           -0.8497000
## 1396   3.957 0.7465  1.873e-01                   -1.921 2.198 1.323           
## 776    4.164 0.4517 -6.474e-01  0.9642000                                     
## 1544   3.979 0.4566 -6.590e-01  0.9601000                                     
## 3828   5.977 1.2490 -3.778e-01                   -2.340 2.295 1.596 -0.3750000
## 1380   3.284 0.5075 -3.385e-02                          1.909 1.564           
## 3572   6.041 1.2580 -3.539e-01                   -2.357 2.303 1.635 -0.3909000
## 3704   5.597 1.2560 -4.605e-01  0.2985000        -2.285 2.321 1.606           
## 3566   5.249 0.9365             0.3101000 -2.393        2.354 2.167 -0.0281100
## 3806   7.785 0.7844             0.2034000 -2.057 -2.064       2.155 -0.6251000
## 3680   7.761 0.7517 -6.315e-01  0.2963000 -2.096 -1.980       2.085           
## 3830   5.620 1.2700             0.2365000        -2.338 2.287 1.665 -0.4103000
## 3550   7.852 0.7923             0.1946000 -2.062 -2.079       2.189 -0.6385000
## 3448   5.698 1.2620 -4.406e-01  0.2993000        -2.303 2.335 1.654           
## 4074   5.347 0.9109                       -2.411        2.365 2.077 -0.0469500
## 2712   6.958 0.9290 -8.731e-01  0.3552000        -2.096             -0.5839000
## 3574   5.677 1.2770             0.2314000        -2.351 2.293 1.692 -0.4203000
## 4058   7.934 0.7766                       -2.073 -2.088       2.137 -0.6538000
## 1838   3.732 0.7856             0.6140000 -2.108        2.374                 
## 1668   5.005 0.4220 -4.459e-01                                      -0.9854000
## 900    4.992 0.4162 -4.659e-01                                      -0.9758000
## 4082   5.794 1.2620                              -2.368 2.304 1.641 -0.4421000
## 1708   4.457 0.7245 -3.765e-01            -2.134        2.305       -0.4923000
## 3424   7.899 0.7571 -6.051e-01  0.2963000 -2.105 -2.002       2.149           
## 3956   5.821 1.2410 -4.457e-01                   -2.321 2.351 1.579           
## 940    4.443 0.7093 -4.266e-01            -2.129        2.308       -0.4686000
## 3740   8.506 0.9163 -8.416e-01            -1.877 -2.160             -0.5058000
## 959    5.712        -2.292e-01  0.3138000 -2.131 -1.965 2.366       -0.5795000
## 1970   4.619 0.9640                              -2.081 2.192       -0.9713000
## 1716   4.594 0.9670  8.728e-03                   -2.082 2.191       -0.9735000
## 1907   4.149         3.470e-02                   -1.786 1.998 1.276           
## 3932   8.007 0.7311 -6.183e-01            -2.123 -2.011       2.063           
## 948    4.573 0.9603 -1.496e-02                   -2.080 2.193       -0.9616000
## 1799   4.352        -7.079e-01  0.9226000                                     
## 1727   5.682        -1.826e-01  0.2805000 -2.134 -1.971 2.360       -0.6037000
## 1981   5.728                    0.2757000 -2.134 -1.992 2.378       -0.6215000
## 3608   7.045 0.9393 -8.967e-01  0.3526000        -2.071                       
## 2964   7.146 0.9119 -8.343e-01                   -2.137             -0.6417000
## 1364   5.122 0.3361  4.552e-02                   -1.656       1.601           
## 3958   5.375 1.2660             0.2798000        -2.317 2.348 1.659           
## 656    5.360 0.4511 -6.038e-01  0.6795000 -1.742                    -0.7060000
## 1344   5.129 1.0030 -1.081e-01  0.5002000 -2.195 -2.090 2.722                 
## 1962   4.376 0.7454                       -2.127        2.329       -0.5305000
## 1979   5.954        -1.592e-01            -2.162 -1.998 2.388       -0.6556000
## 1922   4.870 0.4486                                                 -1.0370000
## 680    3.237 0.8016 -3.980e-01  0.7600000               1.905       -0.5767000
## 1923   5.235        -4.864e-01                                      -0.9373000
## 2800   4.795 0.8729 -8.741e-01  0.4720000 -2.328        2.319 1.895  0.1878000
## 3860   7.290 0.9165 -8.712e-01                   -2.108                       
## 2928   4.868 0.8726 -8.443e-01  0.4572000 -2.312        2.288 1.899           
## 1798   3.835 0.4772             0.9176000                                     
## 1836   4.283 0.6845 -4.475e-01            -2.177        2.382                 
## 3734   7.080 0.9873             0.2191000        -2.190             -0.7805000
## 1684   5.969 0.6085 -1.645e-01                   -1.861             -1.2500000
## 916    5.911 0.6040 -1.859e-01                   -1.860             -1.2380000
## 3616   8.228 0.8996 -9.457e-01  0.1489000 -1.897 -2.108                       
## 1938   5.917 0.6212                              -1.880             -1.2720000
## 3986   7.193 0.9824                              -2.216             -0.8135000
## 3248   6.117 1.1270 -9.409e-01  0.1806000 -2.250        2.607        0.1260000
## 2840   6.709 0.9119 -9.675e-01  0.4130000        -2.051                       
## 3664   6.381 0.5295 -7.927e-01  0.5226000 -2.070              2.219           
## 3868   8.328 0.8912 -9.332e-01            -1.912 -2.124                       
## 3376   6.169 1.1280 -9.196e-01  0.1685000 -2.240        2.586                 
## 919    5.885        -3.144e-01  0.5958000        -1.743             -1.0420000
## 934    3.116 0.8150             0.7445000               1.937       -0.6055000
## 1687   5.813        -3.036e-01  0.5843000        -1.746             -1.0450000
## 3500   6.252 1.1140 -9.279e-01            -2.268        2.618        0.1029000
## 1702   3.086 0.8216             0.7280000               1.932       -0.6165000
## 943    4.644        -5.447e-01  0.5289000 -2.087        2.145       -0.3187000
## 3886   5.209 1.1090             0.1423000 -2.207        2.566                 
## 3758   5.209 1.1080             0.1454000 -2.208        2.569        0.0139500
## 4010   5.312 1.0990                       -2.222        2.578       -0.0033810
## 911    5.687        -6.536e-01  0.6452000 -1.757                    -0.6581000
## 824    3.750 0.9668 -1.884e-01  0.7267000        -1.935 2.266                 
## 3934   7.461 0.7596             0.2724000 -2.091 -2.019       2.161           
## 1592   3.602 0.9715 -1.931e-01  0.7208000        -1.937 2.262                 
## 1679   5.630        -6.196e-01  0.6191000 -1.760                    -0.6738000
## 1711   4.554        -5.036e-01  0.4962000 -2.088        2.137       -0.3384000
## 1941   5.816                    0.5577000        -1.780             -1.0860000
## 1846   3.616 0.9777             0.7160000        -1.959 2.284                 
## 712    3.791 0.3686 -2.328e-01  1.0050000                     1.728 -0.9131000
## 1855   5.373        -2.936e-01  0.4056000 -2.175 -1.906 2.447                 
## 1734   3.811 0.3801             0.9718000                     1.774 -0.9628000
## 3224   7.855 1.0050 -7.015e-01  0.2448000        -2.218             -0.7163000
## 3280   6.703 0.5465 -6.867e-01  0.4886000 -2.067              2.338 -0.3345000
## 1839   4.469        -5.770e-01  0.5772000 -2.112        2.194                 
## 808    3.010 0.7658 -4.871e-01  0.8703000               1.983                 
## 966    3.740 0.3672             1.0070000                     1.766 -0.9303000
## 1678   5.251 0.4812             0.6152000 -1.732                    -0.7925000
## 1576   2.826 0.7721 -4.896e-01  0.8611000               1.978                 
## 3476   7.966 0.9981 -6.658e-01                   -2.247             -0.7577000
## 3288   6.969 0.8480 -4.411e-01  0.4131000        -2.038       1.950 -0.7065000
## 1462   4.683 1.0550             0.5711000        -2.119 2.231       -0.9483000
## 2544   4.968 0.8802 -8.328e-01  0.4795000 -2.340        2.339 2.006  0.1543000
## 1208   4.653 1.0590  3.133e-02  0.5634000        -2.123 2.232       -0.9541000
## 440    4.624 1.0530  5.108e-03  0.5783000        -2.121 2.234       -0.9394000
## 2720   7.936 0.8736 -9.755e-01  0.2007000 -1.829 -2.110             -0.4310000
## 3807   8.213        -5.445e-01  0.1753000 -2.091 -1.936       2.151 -0.4788000
## 3788   6.892 0.5009 -7.085e-01            -2.093              2.195 -0.3632000
## 3052   5.103 0.8384 -8.581e-01            -2.366        2.353 1.851  0.1330000
## 910    5.139 0.4729             0.6419000 -1.720                    -0.7668000
## 3951   5.958        -7.046e-01  0.2790000 -2.385        2.128 2.099           
## 2972   8.020 0.8690 -9.457e-01            -1.844 -2.136             -0.4647000
## 2808   5.226 1.2070 -5.686e-01  0.3843000        -2.265 2.268 1.518 -0.2580000
## 967    4.059        -2.760e-01  0.9889000                     1.762 -0.8726000
## 3408   6.639 0.5307 -7.556e-01  0.5351000 -2.087              2.341           
## 3823   5.822        -7.076e-01  0.2699000 -2.395        2.144 2.092  0.1224000
## 4059   8.387        -5.360e-01            -2.105 -1.957       2.138 -0.5050000
## 1735   4.044        -2.086e-01  0.9472000                     1.775 -0.9066000
## 4019   6.739        -7.066e-01                   -2.249 2.195       -0.2354000
## 1989   4.078                    0.9496000                     1.817 -0.9288000
## 3767   6.674        -7.021e-01  0.0356500        -2.245 2.190       -0.2321000
## 3551   8.366        -5.204e-01  0.1768000 -2.098 -1.956       2.211 -0.5003000
## 2936   5.089 1.2090 -6.038e-01  0.4020000        -2.252 2.304 1.511           
## 3796   7.173 0.8140 -4.472e-01                   -2.060       1.847 -0.7425000
## 784    5.113 0.3962 -7.067e-01  0.8046000 -1.781                              
## 3798   6.646 0.8481             0.3900000        -2.047       1.937 -0.7670000
## 3791   6.698        -7.419e-01  0.4414000 -2.071              2.262 -0.2698000
## 3895   6.595        -7.545e-01  0.0741900        -2.228 2.224                 
## 4075   6.111        -7.082e-01            -2.422        2.174 2.072  0.0930000
## 1965   4.520                    0.4606000 -2.083        2.170       -0.3924000
## 2552   5.308 1.2220 -5.270e-01  0.3723000        -2.296 2.282 1.581 -0.2870000
## 1552   4.994 0.4047 -6.898e-01  0.7890000 -1.780                              
## 3916   6.823 0.4815 -7.812e-01            -2.118              2.186           
## 2966   6.490 0.9547             0.2937000        -2.168             -0.7463000
## 1742   4.768 0.3027             0.8239000 -1.911              1.954 -0.8571000
## 3919   6.668        -8.091e-01  0.4900000 -2.085              2.259           
## 1676   5.863 0.3788 -5.113e-01            -1.799                    -0.8426000
## 3542   6.757 0.8584             0.3810000        -2.069       1.989 -0.7872000
## 1963   4.960        -4.589e-01            -2.134        2.177       -0.4281000
## 3567   6.079        -6.840e-01  0.2877000 -2.409        2.164 2.190  0.0994400
## 1830   2.735 0.7907             0.8345000               2.021                 
## 2848   7.751 0.8634 -1.040e+00  0.2346000 -1.857 -2.079                       
## 3540   7.276 0.8275 -4.045e-01                   -2.087       1.914 -0.7724000
## 908    5.812 0.3669 -5.550e-01            -1.793                    -0.8213000
## 672    6.376 0.6113 -3.262e-01  0.5211000 -1.745 -1.808             -0.9864000
## 720    4.675 0.2864 -2.849e-01  0.8756000 -1.894              1.890 -0.7844000
## 3060   5.443 1.1940 -5.359e-01                   -2.315 2.296 1.476 -0.3138000
## 1939   6.231        -2.245e-01                   -1.800             -1.1740000
## 3994   8.102 0.9516                       -1.847 -2.226             -0.6607000
## 1743   4.973        -2.186e-01  0.8077000 -1.924              1.947 -0.8045000
## 3532   7.110 0.5076 -6.591e-01            -2.106              2.307 -0.4022000
## 2784   7.283 0.7133 -7.322e-01  0.3880000 -1.995 -1.975       1.962 -0.4333000
## 1997   5.006                    0.8098000 -1.924              1.992 -0.8280000
## 2696   5.563 0.7044 -1.082e+00  0.5852000                           -0.3556000
## 3790   6.179 0.5461             0.4566000 -2.040              2.318 -0.4297000
## 3742   8.144 0.9442             0.0345800 -1.844 -2.220             -0.6546000
## 1933   5.550                    0.5649000 -1.748                    -0.7511000
## 3935   8.048        -6.481e-01  0.2457000 -2.117 -1.895       2.144           
## 3592   5.652 0.7150 -1.088e+00  0.5760000                                     
## 1694   6.393 0.6334             0.4743000 -1.744 -1.847             -1.0480000
## 3484   8.926 0.9629 -7.607e-01            -1.879 -2.249             -0.5844000
## 3624   4.547 1.0750 -9.411e-01  0.4384000               2.127                 
## 974    4.593 0.2875             0.8738000 -1.887              1.935 -0.8086000
## 975    4.900        -3.235e-01  0.8666000 -1.906              1.917 -0.7501000
## 1160   5.099 0.5400 -4.260e-01  0.8186000                           -0.9568000
## 2999   6.357        -7.914e-01  0.1158000        -2.221 2.187       -0.1896000
## 392    5.077 0.5352 -4.492e-01  0.8318000                           -0.9443000
## 3232   8.951 0.9585 -7.792e-01  0.0626200 -1.875 -2.240             -0.5722000
## 4050   6.944 0.8301                              -2.092       1.901 -0.8241000
## 2456   7.370 0.9742 -7.910e-01  0.3201000        -2.196             -0.6719000
## 2480   5.652 1.0850 -1.054e+00  0.2842000 -2.207        2.592        0.1729000
## 1807   5.342        -7.359e-01  0.7569000 -1.791                              
## 926    6.277 0.6269             0.4966000 -1.733 -1.848             -1.0250000
## 4061   8.024                    0.1461000 -2.081 -1.975       2.217 -0.5814000
## 3535   6.975        -7.023e-01  0.4527000 -2.085              2.382 -0.3060000
## 1931   6.090        -5.513e-01            -1.809                    -0.7978000
## 932    3.717 0.7105 -3.444e-01                          1.932       -0.7048000
## 4043   7.096        -7.244e-01            -2.107              2.233 -0.3314000
## 3478   7.507 1.0310             0.1790000        -2.275             -0.8480000
## 3062   4.894 1.2230             0.3478000        -2.311 2.284 1.571 -0.3608000
## 1700   3.694 0.7183 -3.228e-01                          1.930       -0.7143000
## 3862   6.625 0.9613             0.3025000        -2.136                       
## 2824   5.458 0.6921 -1.147e+00  0.6270000                                     
## 3672   6.516 0.8106 -6.108e-01  0.5037000        -1.954       1.866           
## 1176   6.086 0.7068 -1.382e-01  0.6441000        -1.907             -1.2380000
## 2528   7.390 0.7295 -6.797e-01  0.3717000 -2.003 -2.011       2.043 -0.4720000
## 408    6.016 0.7034 -1.627e-01  0.6556000        -1.906             -1.2230000
## 1460   5.018 1.0070  1.111e-01                   -2.172 2.254       -1.0700000
## 1430   6.043 0.7155             0.6263000        -1.922             -1.2580000
## 4011   6.330        -1.049e+00            -2.242        2.343        0.1989000
## 3759   6.164        -1.041e+00  0.1154000 -2.229        2.328        0.2094000
## 935    3.858        -4.842e-01  0.6996000               1.768       -0.5175000
## 3735   7.629        -8.052e-01  0.1964000        -2.019             -0.5767000
## 3036   7.513 0.6968 -6.968e-01            -2.022 -2.022       1.927 -0.4930000
## 3534   6.382 0.5515             0.4578000 -2.052              2.408 -0.4553000
## 1796   4.574 0.3311 -5.733e-01                                                
## 3887   6.323        -1.020e+00  0.1114000 -2.212        2.298                 
## 1930   5.712 0.4085                       -1.784                    -0.9022000
## 2856   4.323 1.0450 -1.013e+00  0.5014000               2.117                 
## 2728   4.313 1.0480 -1.006e+00  0.4954000               2.115       -0.0119800
## 3352   7.528 0.9807 -8.271e-01  0.3265000        -2.165                       
## 2912   7.101 0.7023 -7.988e-01  0.4235000 -2.024 -1.943       1.961           
## 2990   4.586 1.0630             0.2498000 -2.156        2.550        0.0473500
## 3716   6.216 0.6851 -9.784e-01                                      -0.4664000
## 1703   3.693        -4.755e-01  0.6838000               1.762       -0.5182000
## 1414   4.980 0.5597             0.7749000                           -1.0100000
## 3656   5.169 0.5906 -7.701e-01  0.7244000                     2.002           
## 3918   6.005 0.5291             0.5070000 -2.064              2.321           
## 3987   7.792        -7.881e-01                   -2.042             -0.6091000
## 951    4.885        -1.747e-01  0.4930000        -1.920 1.976       -0.7765000
## 1560   4.791 0.5893 -4.245e-01  0.8514000        -1.669                       
## 792    4.943 0.5863 -4.098e-01  0.8521000        -1.667                       
## 1478   4.205 0.3724             1.0080000                     1.943 -1.0320000
## 1954   3.615 0.7373                                     1.951       -0.7471000
## 1200   4.591 0.8202 -3.367e-01  0.5751000 -2.095        2.348       -0.4934000
## 1224   4.170 0.3760 -8.663e-02  1.0020000                     1.924 -1.0250000
## 3776   7.253 1.4320 -7.113e-01 -0.1335000 -2.327 -2.517 2.933       -0.0273700
## 3904   7.232 1.4320 -7.141e-01 -0.1328000 -2.329 -2.516 2.937                 
## 2768   5.917 0.4912 -9.093e-01  0.6190000 -1.992              2.110 -0.2208000
## 1973   4.820                    0.4741000        -1.941 1.988       -0.7962000
## 1719   4.775        -1.617e-01  0.4775000        -1.923 1.972       -0.7809000
## 432    4.543 0.8090 -3.922e-01  0.6084000 -2.086        2.351       -0.4637000
## 4028   7.136 1.4390 -7.217e-01            -2.314 -2.501 2.922       -0.0092710
## 1692   6.819 0.5647 -2.307e-01            -1.791 -1.854             -1.1070000
## 1471   6.235        -9.621e-02  0.2759000 -2.147 -2.060 2.426       -0.6949000
## 3748   4.896 1.0430 -9.016e-01                          2.142       -0.1071000
## 3416   6.693 0.8185 -5.746e-01  0.5044000        -1.983       1.952           
## 3876   4.873 1.0390 -9.231e-01                          2.159                 
## 4042   6.555 0.5117                       -2.078              2.285 -0.4887000
## 456    4.108 0.3612 -1.667e-01  1.0450000                     1.909 -0.9830000
## 2896   5.856 0.4839 -9.488e-01  0.6422000 -2.006              2.109           
## 924    6.723 0.5541 -2.759e-01            -1.783 -1.851             -1.0830000
## 3272   5.587 0.6140 -6.263e-01  0.6718000                     2.143 -0.4949000
## 3054   4.275 0.8779             0.4467000 -2.302        2.330 1.984  0.0366100
## 1844   4.055 0.8884 -1.211e-01                   -1.986 2.313                 
## 1946   6.759 0.5812                       -1.784 -1.880             -1.1370000
## 2776   6.284 0.7881 -6.439e-01  0.5378000        -1.971       1.780 -0.5987000
## 4077   5.577                    0.2514000 -2.384        2.157 2.184 -0.0016100
## 4021   6.446                   -0.0130100        -2.304 2.219       -0.3591000
## 1790   4.741 0.8386             0.5468000 -2.231 -1.917 2.344 1.476 -0.7484000
## 1454   4.522 0.8355             0.5478000 -2.091        2.369       -0.5302000
## 2967   7.308        -8.835e-01  0.2658000        -1.998             -0.5383000
## 1806   4.834 0.4270             0.7447000 -1.770                              
## 1774   3.647 0.6201             0.7285000 -2.201        2.077 1.722 -0.5321000
## 1479   4.436        -1.213e-01  0.9808000                     1.962 -0.9889000
## 3360   8.697 0.9399 -8.778e-01  0.1215000 -1.909 -2.199                       
## 1814   4.731 0.6050             0.8234000        -1.713                       
## 1415   5.426        -4.666e-01  0.7640000                           -0.9094000
## 2991   5.859        -1.143e+00  0.2113000 -2.198        2.325        0.2534000
## 1957   3.663                    0.6498000               1.794       -0.5688000
## 1022   4.624 0.8259             0.5905000 -2.214 -1.919 2.355 1.461 -0.7069000
## 1486   5.151 0.2938             0.8579000 -1.928              2.113 -0.9196000
## 1831   3.472        -5.705e-01  0.7968000               1.839                 
## 2948   5.922 0.6533 -1.050e+00                                      -0.4377000
## 1232   5.117 0.2974 -1.075e-01  0.8530000 -1.928              2.091 -0.9104000
## 3511   7.124        -6.418e-01  0.0103300        -2.326 2.244       -0.2912000
## 3844   6.075 0.6638 -1.063e+00                                                
## 768    4.541 0.8373  8.920e-02  0.5682000 -2.213 -1.931 2.357 1.468 -0.7261000
## 752    3.544 0.6073 -1.901e-01  0.7701000 -2.185        2.076 1.675 -0.4758000
## 4045   6.419                    0.4153000 -2.057              2.358 -0.4037000
## 1006   3.518 0.6049             0.7794000 -2.182        2.090 1.707 -0.4843000
## 927    6.735        -3.824e-01  0.4641000 -1.766 -1.752             -0.9218000
## 1695   6.736        -3.442e-01  0.4383000 -1.771 -1.757             -0.9415000
## 3502   5.658 1.1480             0.1220000 -2.224        2.628       -0.0394200
## 3782   5.063 0.6112             0.6397000                     2.101 -0.5721000
## 2760   4.923 0.5663 -8.208e-01  0.7682000                     1.928 -0.3862000
## 3924   6.906 0.7774 -5.867e-01                   -2.007       1.824           
## 840    3.453 0.3028 -3.681e-01  1.1660000                     1.694           
## 1328   4.380 0.7926 -4.107e-01  0.6644000 -2.130        2.423                 
## 3870   7.771 0.9235             0.0972700 -1.880 -2.176                       
## 3995   8.754        -8.812e-01            -1.893 -2.049             -0.4378000
## 3743   8.731        -8.806e-01  0.0156300 -1.892 -2.048             -0.4358000
## 3783   5.569        -6.905e-01  0.6192000                     2.053 -0.4207000
## 3863   7.388        -9.230e-01  0.2799000        -1.970                       
## 2980   4.617 1.0060 -9.827e-01                          2.138       -0.0764000
## 1487   5.356        -1.400e-01  0.8402000 -1.941              2.124 -0.8792000
## 2520   6.414 0.8044 -5.889e-01  0.5247000        -2.011       1.871 -0.6412000
## 3926   6.231 0.8179             0.4805000        -1.991       1.940           
## 3600   6.785 0.6723 -1.140e+00  0.3805000 -1.856                              
## 1608   3.340 0.3159 -3.308e-01  1.1380000                     1.690           
## 1971   5.142        -1.041e-01                   -1.969 2.005       -0.8792000
## 3038   6.850 0.7315             0.3427000 -1.974 -2.030       2.031 -0.5709000
## 3400   5.456 0.5937 -7.240e-01  0.7392000                     2.144           
## 3719   6.091        -1.031e+00  0.4631000                           -0.3534000
## 1280   4.899 0.8548  2.414e-01  0.5342000 -2.244 -1.972 2.373 1.603 -0.8282000
## 3780   5.873 0.5536 -6.450e-01                                1.965 -0.5457000
## 464    4.982 0.2789 -2.219e-01  0.9136000 -1.905              2.064 -0.8506000
## 3055   5.294        -8.861e-01  0.4118000 -2.334        2.146 1.978  0.1968000
## 1949   6.728                    0.4072000 -1.765 -1.796             -0.9887000
## 1863   3.642        -3.714e-01  1.1280000                     1.725           
## 848    4.413 0.2274 -4.043e-01  1.0120000 -1.936              1.864           
## 1862   3.324 0.3140             1.1380000                     1.752           
## 3023   6.152        -9.121e-01  0.5749000 -2.010              2.149 -0.1988000
## 1534   5.049 0.8348             0.5738000 -2.246 -1.945 2.365 1.585 -0.7902000
## 1616   4.381 0.2434 -3.282e-01  0.9709000 -1.949              1.878           
## 3724   7.163 0.6517 -1.070e+00            -1.873                    -0.2948000
## 2888   4.812 0.5530 -8.922e-01  0.8136000                     1.923           
## 1902   3.420 0.5902             0.8248000 -2.237        2.164 1.710           
## 1871   4.650        -3.665e-01  0.9688000 -1.958              1.907           
## 1428   6.483 0.6479 -4.202e-02                   -1.961             -1.3750000
## 880    3.402 0.5775 -2.747e-01  0.8602000 -2.219        2.149 1.654           
## 3486   8.558 0.9875            -0.0067030 -1.852 -2.302             -0.7199000
## 3799   7.057        -4.947e-01  0.3576000        -1.915       1.940 -0.6289000
## 2512   6.121 0.4983 -8.554e-01  0.6247000 -2.003              2.245 -0.2669000
## 1815   5.195        -4.822e-01  0.7964000        -1.621                       
## 2951   5.912        -1.095e+00  0.5206000                           -0.3243000
## 1828   3.357 0.6652 -4.141e-01                          2.030                 
## 3520   7.554 1.4690 -6.539e-01 -0.1622000 -2.339 -2.586 2.983       -0.0764400
## 1648   3.370 0.5951 -1.896e-01  0.8140000 -2.234        2.148 1.670           
## 1452   5.004 0.7583 -2.713e-01            -2.146        2.376       -0.5983000
## 3911   5.476        -7.872e-01  0.6885000                     2.044           
## 1804   5.542 0.2982 -6.253e-01            -1.854                              
## 2464   8.342 0.9200 -8.909e-01  0.1632000 -1.830 -2.212             -0.5199000
## 3847   6.005        -1.110e+00  0.5207000                                     
## 1870   4.369 0.2411             0.9708000 -1.950              1.940           
## 3028   6.616 0.7613 -6.016e-01                   -2.035       1.727 -0.6824000
## 3871   8.564        -9.704e-01  0.0762500 -1.916 -2.012                       
## 3526   5.299 0.6184             0.6420000                     2.208 -0.6041000
## 1336   4.084 1.0030 -1.057e-01  0.7340000        -2.027 2.349                 
## 1947   7.083        -2.897e-01            -1.806 -1.797             -1.0350000
## 2974   7.393 0.9037             0.1348000 -1.792 -2.191             -0.6153000
## 3852   7.094 0.6369 -1.126e+00            -1.894                              
## 1788   5.094 0.8048  2.350e-01            -2.274 -1.989 2.392 1.446 -0.8733000
## 2904   6.036 0.7699 -7.432e-01  0.5985000        -1.925       1.776           
## 2704   6.522 0.6480 -1.185e+00  0.4338000 -1.812                    -0.2025000
## 512    4.762 0.8382  1.331e-01  0.5913000 -2.224 -1.967 2.381 1.577 -0.7699000
## 3030   5.914 0.8032             0.4971000        -2.020       1.843 -0.7181000
## 3543   7.248        -4.604e-01  0.3584000        -1.942       2.020 -0.6589000
## 3020   6.326 0.4414 -8.837e-01            -2.036              2.056 -0.3024000
## 2042   5.232 0.7835                       -2.277 -1.964 2.384 1.414 -0.8394000
## 2832   6.464 0.6415 -1.221e+00  0.4546000 -1.825                              
## 1955   4.172        -4.003e-01                          1.802       -0.6521000
## 3039   7.529        -7.289e-01  0.3192000 -2.023 -1.897       2.025 -0.3987000
## 1740   5.435 0.2100 -1.212e-01            -1.973              1.847 -0.9844000
## 1431   6.447        -1.926e-01  0.5718000        -1.846             -1.1700000
## 1994   5.441 0.2099                       -1.972              1.871 -0.9979000
## 1518   4.021 0.6119             0.7653000 -2.220        2.099 1.870 -0.5841000
## 424    3.749 0.8284 -3.292e-01  0.7810000               1.979       -0.6648000
## 3989   7.357                    0.1353000        -2.084             -0.7291000
## 1192   3.731 0.8347 -3.049e-01  0.7647000               1.976       -0.6772000
## 4051   7.368        -4.702e-01                   -1.959       1.911 -0.6862000
## 3527   5.874        -6.414e-01  0.6311000                     2.190 -0.4650000
## 1412   5.607 0.4550 -3.196e-01                                      -1.1210000
## 3910   4.810 0.5897             0.7092000                     2.102           
## 1732   4.549 0.2751 -9.208e-02                                1.649 -1.1240000
## 3971   6.463        -1.002e+00                                      -0.4236000
## 1986   4.550 0.2754                                           1.666 -1.1350000
## 1995   5.589        -1.455e-01            -1.981              1.869 -0.9597000
## 4030   6.965 1.4610            -0.1907000 -2.311 -2.582 2.962       -0.1607000
## 2029   4.123                    0.6919000 -2.211        1.970 1.803 -0.4950000
## 1264   3.937 0.6199 -2.823e-02  0.7486000 -2.218        2.093 1.856 -0.5876000
## 1847   4.316        -2.970e-01  0.6376000        -1.838 2.073                 
## 3718   5.414 0.7449             0.4724000                           -0.5719000
## 2975   8.271        -9.833e-01  0.1109000 -1.856 -2.020             -0.3872000
## 3524   6.102 0.5641 -5.832e-01                                2.095 -0.5935000
## 3908   5.727 0.5283 -7.493e-01                                1.947           
## 1007   4.016        -2.537e-01  0.7397000 -2.195        1.968 1.742 -0.4303000
## 4053   6.892                    0.3312000        -1.950       2.002 -0.7214000
## 1775   4.049        -1.492e-01  0.6779000 -2.209        1.956 1.769 -0.4856000
## 2504   5.145 0.5732 -7.646e-01  0.7778000                     2.073 -0.4361000
## 1446   3.667 0.8487             0.7391000               1.995       -0.7105000
## 964    4.445 0.2597 -1.717e-01                                1.616 -1.0840000
## 1020   4.948 0.7848  1.265e-01            -2.256 -1.986 2.400 1.399 -0.8189000
## 3750   4.197 1.0960             0.3801000               2.153       -0.2101000
## 3015   5.190        -8.258e-01  0.7215000                     1.971 -0.3616000
## 1750   4.894 0.5347             0.8236000        -1.671       1.586 -1.1880000
## 1987   4.713        -1.170e-01                                1.676 -1.0940000
## 982    4.825 0.5244             0.8526000        -1.672       1.578 -1.1600000
## 1288   4.639 0.4738 -5.592e-01  0.9885000                                     
## 728    4.791 0.5298 -2.130e-03  0.8414000        -1.673       1.575 -1.1650000
## 3878   4.078 1.0950             0.4012000               2.185                 
## 496    3.837 0.6011 -1.408e-01  0.8107000 -2.199        2.102 1.832 -0.5280000
## 972    5.276 0.1885 -2.356e-01            -1.952              1.797 -0.9285000
## 2956   6.797 0.6105 -1.162e+00            -1.846                    -0.2606000
## 4037   5.321                    0.5950000                     2.144 -0.5443000
## 1918   4.326 0.7950             0.6758000 -2.280 -1.849 2.454 1.461           
## 1532   5.338 0.8074  2.968e-01            -2.289 -2.024 2.414 1.551 -0.9268000
## 4034   5.560 0.5648                                           2.049 -0.6590000
## 4035   6.075        -6.587e-01                                2.006 -0.5126000
## 800    5.911 0.5317 -4.670e-01  0.6896000 -1.800 -1.686                       
## 3008   6.654 1.3770 -8.451e-01 -0.0143400 -2.276 -2.472 2.904        0.0333600
## 1568   5.826 0.5384 -4.530e-01  0.6773000 -1.799 -1.689                       
## 1664   4.200 0.8079  5.575e-02  0.6512000 -2.279 -1.857 2.454 1.459           
## 896    4.204 0.7925 -2.233e-02  0.6919000 -2.265 -1.853 2.454 1.443           
## 3479   8.182        -7.253e-01  0.1610000        -2.113             -0.6632000
## 1903   3.898        -2.510e-01  0.7835000 -2.241        2.038 1.742           
## 3927   6.813        -6.287e-01  0.4515000        -1.862       1.928           
## 2026   4.256 0.5405                       -2.262        2.121 1.646 -0.6480000
## 1168   6.030 0.4817 -4.716e-01  0.6690000 -1.746                    -0.8475000
## 4002   4.466 1.0700                                     2.170       -0.2593000
## 1772   4.194 0.5467 -4.242e-02            -2.260        2.115 1.634 -0.6465000
## 3240   5.078 1.1180 -8.590e-01  0.4144000               2.188       -0.1195000
## 3970   5.740 0.7127                                                 -0.6370000
## 3727   7.152        -1.109e+00  0.2891000 -1.860                    -0.2117000
## 400    5.946 0.4732 -5.204e-01  0.6960000 -1.737                    -0.8208000
## 3368   5.031 1.1170 -8.804e-01  0.4284000               2.206                 
## 1455   5.201        -4.112e-01  0.5029000 -2.102        2.209       -0.4404000
## 2950   4.964 0.7171             0.5374000                           -0.5443000
## 3022   5.372 0.4966             0.5893000 -1.963              2.203 -0.3811000
## 1812   5.326 0.4842 -3.387e-01                   -1.721                       
## 3855   7.125        -1.160e+00  0.3267000 -1.871                              
## 3014   4.448 0.5691             0.7416000                     2.015 -0.5285000
## 1184   7.023 0.6487 -1.831e-01  0.4935000 -1.752 -1.912             -1.1290000
## 1392   3.729 0.5856 -1.264e-01  0.8600000 -2.259        2.186 1.841           
## 3846   5.127 0.7280             0.5334000                                     
## 1438   6.969 0.6600             0.4712000 -1.749 -1.933             -1.1560000
## 3979   7.416        -1.095e+00            -1.885                    -0.2524000
## 416    6.889 0.6414 -2.336e-01  0.5192000 -1.741 -1.909             -1.1000000
## 3012   5.415 0.5047 -7.891e-01                                1.856 -0.4918000
## 1758   5.843 0.4570             0.6768000 -1.904 -1.665       1.766 -1.0810000
## 3208   6.435 0.7652 -9.332e-01  0.5105000                           -0.4850000
## 3688   4.216 0.9291 -6.679e-01  0.5853000               1.927 1.805           
## 1822   5.754 0.5557             0.6470000 -1.793 -1.735                       
## 3031   6.552        -6.433e-01  0.4684000        -1.885       1.847 -0.5611000
## 1463   5.333        -6.943e-02  0.4717000        -2.015 2.037       -0.8778000
## 2982   3.748 1.0630             0.4537000               2.146       -0.1812000
## 1004   4.078 0.5244 -1.545e-01            -2.243        2.125 1.588 -0.5913000
## 1320   3.387 0.7994 -3.995e-01  0.8868000               2.069                 
## 2005   5.188                    0.7864000        -1.621       1.647 -1.1370000
## 3997   8.416                   -0.0495400 -1.867 -2.119             -0.6043000
## 1352   3.742 0.3025 -2.440e-01  1.1910000                     1.902           
## 1751   5.112         1.921e-02  0.7671000        -1.625       1.644 -1.1450000
## 1360   4.778 0.2288 -2.507e-01  1.0200000 -1.973              2.077           
## 1240   5.153 0.5429  1.394e-01  0.8264000        -1.721       1.732 -1.2720000
## 1422   5.894 0.5038             0.6216000 -1.737                    -0.9072000
## 983    5.084        -4.848e-02  0.8059000        -1.619       1.628 -1.1100000
## 2959   6.848        -1.196e+00  0.3705000 -1.832                    -0.1729000
## 4013   5.769                    0.0634300 -2.201        2.357        0.0257100
## 1494   5.237 0.5321             0.8492000        -1.706       1.721 -1.2500000
## 3492   5.357 1.0900 -8.246e-01                          2.207       -0.1780000
## 3503   6.750        -9.775e-01  0.1010000 -2.246        2.395        0.1413000
## 1519   4.426        -8.542e-02  0.7150000 -2.229        1.983 1.931 -0.5461000
## 3831   6.245        -4.330e-01  0.1942000        -2.132 1.997 1.738 -0.3092000
## 990    5.673 0.4445             0.7202000 -1.883 -1.667       1.747 -1.0380000
## 2045   5.275                    0.4955000 -2.242 -1.824 2.184 1.592 -0.6927000
## 736    5.664 0.4471 -5.546e-02  0.7142000 -1.885 -1.662       1.737 -1.0360000
## 1484   5.773 0.2071 -2.392e-02            -1.991              2.021 -1.0700000
## 1408   4.496 0.8040  1.082e-01  0.6845000 -2.300 -1.890 2.489 1.588           
## 3487   9.274        -8.023e-01 -0.0203000 -1.899 -2.141             -0.5201000
## 1423   6.336        -5.094e-01  0.6201000 -1.763                    -0.8038000
## 472    5.054 0.5305  6.277e-02  0.8646000        -1.718       1.714 -1.2310000
## 4083   6.443        -4.269e-01                   -2.157 2.017 1.721 -0.3352000
## 2472   4.742 1.0880 -9.441e-01  0.4877000               2.183       -0.0811700
## 1823   6.210        -5.073e-01  0.6267000 -1.814 -1.644                       
## 3575   6.405        -4.151e-01  0.2015000        -2.151 2.010 1.795 -0.3262000
## 1791   5.149         1.164e-01  0.4594000 -2.241 -1.838 2.182 1.600 -0.7190000
## 4092   6.957 1.2660 -4.425e-01            -2.467 -2.382 2.725 1.820 -0.0895400
## 3840   6.941 1.2680 -4.411e-01  0.0074160 -2.466 -2.382 2.724 1.820 -0.0891300
## 3584   6.979 1.2690 -4.357e-01  0.0081570 -2.468 -2.387 2.727 1.834 -0.0935700
## 3968   6.911 1.2650 -4.605e-01  0.0197600 -2.473 -2.375 2.737 1.818           
## 3959   6.144        -5.043e-01  0.2447000        -2.110 2.043 1.729           
## 3304   4.483 0.9399 -5.929e-01  0.5707000               1.923 1.921 -0.1726000
## 1023   5.073         1.137e-02  0.5186000 -2.225 -1.830 2.192 1.571 -0.6622000
## 3336   6.254 0.7506 -1.019e+00  0.5660000                                     
## 1476   4.882 0.2752  1.739e-02                                1.834 -1.2190000
## 2440   6.085 0.7395 -1.009e+00  0.5747000                           -0.4494000
## 3432   4.457 0.9338 -6.322e-01  0.5996000               1.950 1.921           
## 1436   7.348 0.6024 -1.113e-01            -1.791 -1.954             -1.2310000
## 2027   4.589        -9.683e-02            -2.266        2.015 1.699 -0.6029000
## 2013   6.116                    0.6465000 -1.924 -1.621       1.822 -1.0360000
## 3460   6.763 0.7299 -8.864e-01                                      -0.5621000
## 1759   6.040         9.091e-03  0.6278000 -1.923 -1.625       1.816 -1.0430000
## 1444   4.224 0.7553 -2.103e-01                          1.999       -0.8255000
## 4085   6.116                    0.1763000        -2.163 2.010 1.792 -0.3868000
## 3879   5.164        -9.856e-01  0.3702000               1.921                 
## 1900   3.965 0.5009 -1.434e-01            -2.313        2.222 1.584           
## 3973   5.704                    0.4037000                           -0.5395000
## 3751   5.106        -9.633e-01  0.3488000               1.913       -0.0305100
## 1248   6.088 0.4635  1.170e-01  0.6793000 -1.916 -1.709       1.900 -1.1560000
## 1502   6.173 0.4530             0.7012000 -1.918 -1.696       1.892 -1.1360000
## 998    2.748 0.6381             0.9465000               1.716 1.557 -0.6795000
## 1516   4.525 0.5438  3.986e-02            -2.280        2.140 1.792 -0.7181000
## 744    2.752 0.6423 -1.484e-01  0.9343000               1.704 1.531 -0.6760000
## 1766   2.771 0.6503             0.9119000               1.706 1.561 -0.7090000
## 991    5.922        -9.636e-02  0.6840000 -1.904 -1.616       1.783 -0.9870000
## 1820   6.302 0.4519 -3.897e-01            -1.863 -1.729                       
## 1420   6.479 0.4101 -3.881e-01            -1.800                    -0.9769000
## 1535   5.452         1.641e-01  0.4850000 -2.256 -1.871 2.206 1.714 -0.7654000
## 1916   4.696 0.7389  9.926e-02            -2.343 -1.909 2.521 1.385           
## 3814   4.013 0.9371             0.5408000               1.918 1.892 -0.2496000
## 3812   4.713 0.8914 -6.091e-01                          1.940 1.767 -0.2124000
## 2983   4.943        -1.035e+00  0.4142000               1.916        0.0020650
## 4094   6.770 1.2790            -0.0198700 -2.460 -2.417 2.736 1.871 -0.1713000
## 3726   6.436 0.6995             0.2948000 -1.808                    -0.4457000
## 2043   5.560         1.542e-01            -2.281 -1.886 2.228 1.549 -0.8023000
## 1447   4.340        -3.783e-01  0.6897000               1.832       -0.6249000
## 3940   4.661 0.8850 -6.523e-01                          1.974 1.757           
## 1495   5.446         9.562e-02  0.7880000        -1.667       1.789 -1.2170000
## 2792   3.863 0.8904 -7.797e-01  0.6680000               1.906 1.726 -0.0732500
## 2920   3.851 0.8875 -7.974e-01  0.6806000               1.918 1.724           
## 3942   3.902 0.9323             0.5730000               1.959 1.889           
## 1304   5.394 0.6130 -3.220e-01  0.8673000        -1.766                       
## 4003   5.414        -9.487e-01                          1.939       -0.0769300
## 1439   7.369        -2.342e-01  0.4258000 -1.774 -1.856             -1.0650000
## 3978   6.637 0.6809                       -1.834                    -0.4844000
## 1748   5.495 0.4630  1.430e-01                   -1.752       1.509 -1.3620000
## 480    5.915 0.4474  6.147e-03  0.7352000 -1.893 -1.705       1.870 -1.0970000
## 2002   5.552 0.4536                              -1.738       1.487 -1.3410000
## 3558   4.221 0.9436             0.5459000               1.933 1.983 -0.2738000
## 1296   5.653 0.4213 -5.915e-01  0.8163000 -1.789                              
## 1756   6.360 0.3961  1.112e-01            -1.952 -1.730       1.707 -1.2200000
## 3494   4.665 1.1380             0.3574000               2.212       -0.2682000
## 2010   6.424 0.3866                       -1.955 -1.718       1.692 -1.2030000
## 1868   5.089 0.1209 -2.696e-01            -2.032              1.783           
## 3216   7.501 0.7171 -1.012e+00  0.3335000 -1.848                    -0.3408000
## 980    5.357 0.4501  6.609e-02                   -1.750       1.475 -1.3220000
## 1503   6.361         7.632e-02  0.6483000 -1.936 -1.662       1.951 -1.1070000
## 3854   6.217 0.6869             0.3375000 -1.833                              
## 3556   4.924 0.9006 -5.598e-01                          1.957 1.878 -0.2497000
## 1014   3.823 0.8554             0.7636000        -1.883 1.971 1.314 -0.9009000
## 760    3.722 0.8690  1.269e-01  0.7377000        -1.900 1.975 1.326 -0.9248000
## 1782   3.835 0.8655             0.7359000        -1.884 1.963 1.317 -0.9240000
## 1919   4.794        -2.214e-02  0.6034000 -2.286 -1.764 2.288 1.563           
## 3063   5.764        -5.851e-01  0.3091000        -2.101 2.002 1.646 -0.2394000
## 3344   7.380 0.7071 -1.072e+00  0.3689000 -1.869                              
## 3463   6.761        -9.481e-01  0.4417000                           -0.4510000
## 3468   7.721 0.6945 -9.814e-01            -1.877                    -0.3888000
## 3462   5.978 0.7856             0.4444000                           -0.6519000
## 872    2.489 0.6051 -2.551e-01  1.0570000               1.799 1.496           
## 4066   4.433 0.9009                                     1.950 1.846 -0.3174000
## 988    6.167 0.3771 -2.836e-04            -1.930 -1.727       1.656 -1.1640000
## 2003   5.691         1.047e-01                   -1.702       1.558 -1.3070000
## 2536   4.060 0.8982 -7.334e-01  0.6793000               1.927 1.853 -0.1125000
## 2011   6.552         7.440e-02            -1.967 -1.687       1.751 -1.1720000
## 999    3.243        -2.139e-01  0.9015000               1.588 1.602 -0.6296000
## 1894   2.400 0.6154             1.0360000               1.813 1.536           
## 1640   2.368 0.6188 -2.153e-01  1.0280000               1.796 1.493           
## 2021   3.252                    0.8713000               1.590 1.644 -0.6722000
## 1510   3.157 0.6437             0.9502000               1.725 1.721 -0.7703000
## 1767   3.188        -1.514e-01  0.8592000               1.577 1.610 -0.6617000
## 1860   4.095 0.1780 -2.562e-01                                1.568           
## 2958   5.837 0.6645             0.3835000 -1.763                    -0.4133000
## 1256   3.082 0.6509 -1.889e-02  0.9349000               1.721 1.710 -0.7740000
## 488    3.055 0.6366 -9.299e-02  0.9773000               1.729 1.698 -0.7344000
## 1492   5.759 0.4702  2.379e-01                   -1.798       1.649 -1.4420000
## 1500   6.625 0.4001  1.938e-01            -1.965 -1.771       1.837 -1.2920000
## 1272   4.021 0.8827  2.470e-01  0.7257000        -1.943 1.993 1.459 -1.0130000
## 1526   4.160 0.8636             0.7636000        -1.917 1.983 1.439 -0.9756000
## 504    3.958 0.8709  1.777e-01  0.7627000        -1.940 2.000 1.446 -0.9753000
## 2448   7.038 0.6842 -1.109e+00  0.4212000 -1.811                    -0.2974000
## 3044   4.281 0.8414 -7.553e-01                          1.946 1.659 -0.1573000
## 3981   6.713                    0.2273000 -1.826                    -0.4143000
## 3046   3.413 0.8937             0.6457000               1.921 1.808 -0.2051000
## 856    4.231 0.4395 -1.747e-01  1.0450000        -1.530       1.544           
## 3943   4.754        -6.991e-01  0.5392000               1.741 1.888           
## 1878   4.185 0.4462             1.0300000        -1.545       1.570           
## 3815   4.726        -6.565e-01  0.5041000               1.719 1.890 -0.1253000
## 1624   4.143 0.4504 -1.444e-01  1.0230000        -1.535       1.541           
## 4005   4.754                    0.2985000               1.944       -0.1978000
## 1895   2.903        -2.768e-01  0.9945000               1.679 1.567           
## 1312   6.426 0.5614 -3.523e-01  0.6921000 -1.808 -1.784                       
## 1886   5.235 0.3736             0.8624000 -1.954 -1.550       1.758           
## 864    5.196 0.3644 -2.104e-01  0.8910000 -1.941 -1.535       1.714           
## 3471   7.817        -1.027e+00  0.2671000 -1.867                    -0.3076000
## 1632   5.189 0.3781 -1.411e-01  0.8545000 -1.953 -1.540       1.728           
## 1780   4.309 0.8164  2.517e-01                   -1.973 2.014 1.262 -1.0890000
## 2034   4.429 0.7965                              -1.947 2.004 1.225 -1.0540000
## 3559   5.016        -6.190e-01  0.5209000               1.738 2.012 -0.1591000
## 1879   4.473        -1.899e-01  0.9960000        -1.492       1.590           
## 3768   6.101 1.4090 -6.403e-01  0.1201000        -2.432 2.485       -0.2699000
## 1012   4.215 0.8038  1.823e-01                   -1.971 2.022 1.232 -1.0530000
## 1511   3.574        -7.497e-02  0.8965000               1.602 1.787 -0.7329000
## 2018   3.467 0.5555                                     1.746 1.457 -0.8632000
## 4020   6.178 1.4050 -6.256e-01                   -2.447 2.492       -0.2891000
## 1764   3.421 0.5602 -2.369e-02                          1.742 1.450 -0.8628000
## 1887   5.491        -1.837e-01  0.8348000 -1.967 -1.503       1.772           
## 996    3.356 0.5452 -9.703e-02                          1.751 1.421 -0.8259000
## 3896   5.961 1.4040 -6.889e-01  0.1513000        -2.414 2.521                 
## 4067   5.154        -6.376e-01                          1.759 1.849 -0.1911000
## 1384   2.736 0.6106 -1.389e-01  1.0780000               1.833 1.683           
## 3495   5.703        -8.943e-01  0.3338000               1.978       -0.1042000
## 3047   4.374        -7.936e-01  0.6091000               1.729 1.811 -0.0640200
## 1910   3.263 0.8151             0.8949000        -1.800 2.088 1.291           
## 888    3.250 0.8144 -9.594e-03  0.8975000        -1.800 2.088 1.288           
## 4069   4.504                    0.4863000               1.733 1.977 -0.2393000
## 3470   6.991 0.7397             0.2654000 -1.817                    -0.5239000
## 3072   6.183 1.2040 -6.454e-01  0.1616000 -2.388 -2.330 2.700 1.685 -0.0011770
## 1656   3.155 0.8259  2.253e-02  0.8738000        -1.804 2.086 1.285           
## 2037   4.370                    0.6813000        -1.787 1.795 1.434 -0.8685000
## 1524   4.553 0.8234  3.309e-01                   -2.015 2.035 1.382 -1.1550000
## 1015   4.269         4.671e-02  0.6868000        -1.795 1.802 1.431 -0.8598000
## 1783   4.254         1.088e-01  0.6477000        -1.801 1.793 1.442 -0.8928000
## 1368   4.503 0.4433 -6.272e-02  1.0640000        -1.577       1.718           
## 3000   5.665 1.3690 -7.412e-01  0.2047000        -2.400 2.470       -0.2207000
## 2019   3.798        -7.418e-02                          1.637 1.515 -0.8203000
## 1376   5.539 0.3697 -6.940e-02  0.8923000 -1.973 -1.577       1.893           
## 4022   5.846 1.4350             0.0664300        -2.491 2.514       -0.3887000
## 3512   6.427 1.4500 -5.764e-01  0.0896500        -2.509 2.537       -0.3256000
## 904    4.553 0.5053 -5.549e-01  0.8331000                           -0.8199000
## 1508   3.746 0.5609  7.494e-02                          1.764 1.622 -0.9469000
## 1527   4.573         1.706e-01  0.6725000        -1.840 1.817 1.572 -0.9509000
## 1672   4.454 0.5113 -5.462e-01  0.8225000                           -0.8219000
## 1400   3.467 0.8240  8.970e-02  0.9105000        -1.844 2.122 1.433           
## 1892   3.032 0.5048 -1.484e-01                          1.872 1.375           
## 4031   7.863        -7.834e-01 -0.2077000 -2.314 -2.324 2.633        0.0135500
## 1982   5.145 1.0130             0.3797000 -2.130 -2.089 2.564       -0.6854000
## 1728   5.109 1.0120 -9.248e-02  0.3789000 -2.130 -2.078 2.553       -0.6776000
## 960    5.086 0.9999 -1.430e-01  0.4095000 -2.124 -2.071 2.555       -0.6499000
## 2035   4.755         1.748e-01                   -1.870 1.846 1.365 -1.0190000
## 1884   5.828 0.2772 -8.072e-02            -2.025 -1.598       1.639           
## 1926   4.371 0.5334             0.7750000                           -0.8918000
## 1927   4.807        -6.001e-01  0.7831000                           -0.7695000
## 1980   5.427 0.9718 -5.061e-02            -2.165 -2.111 2.577       -0.7486000
## 1911   3.752        -5.561e-02  0.8242000        -1.709 1.914 1.390           
## 1876   4.840 0.3349 -6.648e-02                   -1.605       1.423           
## 1800   4.082 0.4474 -6.822e-01  0.9785000                                     
## 1908   3.737 0.7384  8.972e-02                   -1.873 2.161 1.177           
## 1856   4.748 0.9648 -2.106e-01  0.5053000 -2.175 -2.002 2.638                 
## 4095   7.472        -4.910e-01 -0.0433000 -2.463 -2.202 2.447 1.942 -0.0554300
## 1924   5.028 0.4195 -4.505e-01                                      -0.9841000
## 920    5.532 0.6695 -2.657e-01  0.6661000        -1.803             -1.1050000
## 1688   5.500 0.6742 -2.529e-01  0.6566000        -1.806             -1.1120000
## 944    4.116 0.7720 -4.913e-01  0.6118000 -2.080        2.282       -0.3621000
## 3760   5.624 1.0870 -1.011e+00  0.2002000 -2.234        2.539        0.1938000
## 1942   5.484 0.6864             0.6332000        -1.835             -1.1480000
## 3888   5.744 1.0840 -9.849e-01  0.1892000 -2.218        2.509                 
## 1712   4.062 0.7847 -4.473e-01  0.5816000 -2.082        2.277       -0.3845000
## 4012   5.819 1.0680 -1.004e+00            -2.255        2.554        0.1702000
## 952    4.253 1.0140 -8.740e-02  0.5895000        -2.028 2.169       -0.8472000
## 1974   4.234 1.0210             0.5785000        -2.039 2.175       -0.8603000
## 1720   4.198 1.0210 -7.086e-02  0.5764000        -2.031 2.167       -0.8551000
## 3736   7.324 0.9681 -7.722e-01  0.2694000        -2.126             -0.6346000
## 1840   3.943 0.7565 -5.230e-01  0.6622000 -2.110        2.334                 
## 3988   7.507 0.9556 -7.405e-01                   -2.158             -0.6799000
## 1472   5.582 1.0460 -1.623e-03  0.3717000 -2.142 -2.166 2.619       -0.7687000
## 1966   4.011 0.8037             0.5502000 -2.078        2.309       -0.4343000
## 3952   5.481 0.9193 -6.865e-01  0.3386000 -2.384        2.313 2.019           
## 3824   5.375 0.9255 -6.941e-01  0.3362000 -2.393        2.331 2.013  0.1124000
## 912    5.422 0.4429 -6.269e-01  0.6970000 -1.741                    -0.6953000
## 936    3.319 0.7909 -4.297e-01  0.7839000               1.909       -0.5613000
## 1680   5.386 0.4532 -5.914e-01  0.6731000 -1.744                    -0.7131000
## 2992   5.244 1.0440 -1.120e+00  0.2975000 -2.197        2.524        0.2414000
## 1704   3.195 0.7982 -4.183e-01  0.7702000               1.906       -0.5646000
## 2968   6.918 0.9369 -8.572e-01  0.3399000        -2.100             -0.5904000
## 1964   4.530 0.7168 -3.913e-01            -2.135        2.308       -0.4872000
## 3568   5.590 0.9272 -6.666e-01  0.3468000 -2.406        2.347 2.102  0.0889000
## 1940   5.964 0.6090 -1.635e-01                   -1.861             -1.2500000
## 4076   5.690 0.8973 -6.840e-01            -2.426        2.358 1.991  0.0731200
## 1972   4.618 0.9643  3.704e-03                   -2.081 2.192       -0.9718000
## 1943   5.871        -3.198e-01  0.5985000        -1.743             -1.0380000
## 1958   3.148 0.8160             0.7403000               1.936       -0.6109000
## 3864   7.035 0.9407 -8.941e-01  0.3500000        -2.072                       
## 1935   5.717        -6.424e-01  0.6393000 -1.760                    -0.6646000
## 968    3.865 0.3585 -2.606e-01  1.0260000                     1.729 -0.9002000
## 1736   3.862 0.3738 -1.923e-01  0.9873000                     1.743 -0.9360000
## 1990   3.890 0.3716             0.9884000                     1.782 -0.9566000
## 1832   2.943 0.7619 -5.161e-01  0.8822000               1.981                 
## 3808   7.971 0.7757 -5.266e-01  0.2311000 -2.066 -2.025       2.091 -0.5254000
## 1934   5.287 0.4778             0.6221000 -1.732                    -0.7897000
## 3990   7.025 0.9954             0.2041000        -2.194             -0.7838000
## 3552   8.082 0.7823 -4.988e-01  0.2260000 -2.073 -2.045       2.143 -0.5471000
## 4060   8.163 0.7630 -5.074e-01            -2.085 -2.052       2.075 -0.5609000
## 1991   4.149        -2.354e-01  0.9723000                     1.779 -0.8957000
## 3744   8.427 0.9225 -8.484e-01  0.0872600 -1.869 -2.150             -0.4926000
## 3996   8.470 0.9209 -8.345e-01            -1.876 -2.161             -0.5077000
## 1416   5.121 0.5380 -4.309e-01  0.8228000                           -0.9549000
## 1983   5.771        -2.077e-01  0.3025000 -2.135 -1.967 2.366       -0.5922000
## 3832   5.762 1.2620 -3.963e-01  0.2589000        -2.308 2.275 1.618 -0.3377000
## 1967   4.671        -5.348e-01  0.5238000 -2.089        2.145       -0.3244000
## 1808   5.097 0.3954 -7.130e-01  0.8073000 -1.780                              
## 1848   3.691 0.9634 -2.140e-01  0.7372000        -1.934 2.264                 
## 3576   5.850 1.2680 -3.751e-01  0.2563000        -2.324 2.284 1.659 -0.3536000
## 3720   5.799 0.7289 -1.016e+00  0.5287000                           -0.3880000
## 4078   5.109 0.9297             0.3116000 -2.382        2.343 2.101 -0.0107700
## 3480   7.791 1.0120 -6.871e-01  0.2301000        -2.222             -0.7212000
## 1932   5.901 0.3747 -5.189e-01            -1.799                    -0.8403000
## 4084   5.964 1.2510 -3.752e-01                   -2.340 2.295 1.596 -0.3757000
## 3960   5.609 1.2540 -4.634e-01  0.3016000        -2.284 2.321 1.607           
## 4062   7.762 0.7881             0.1967000 -2.057 -2.065       2.153 -0.6265000
## 3792   6.481 0.5401 -7.358e-01  0.4888000 -2.053              2.225 -0.2956000
## 1464   4.675 1.0560  2.607e-02  0.5680000        -2.122 2.233       -0.9518000
## 3936   7.770 0.7505 -6.336e-01  0.2986000 -2.096 -1.980       2.085           
## 4086   5.608 1.2720             0.2331000        -2.339 2.287 1.664 -0.4111000
## 2952   5.566 0.7040 -1.083e+00  0.5861000                           -0.3552000
## 3848   5.684 0.7113 -1.096e+00  0.5831000                                     
## 3872   8.214 0.9015 -9.423e-01  0.1454000 -1.897 -2.109                       
## 3920   6.432 0.5232 -8.040e-01  0.5344000 -2.070              2.221           
## 3504   6.123 1.1260 -9.422e-01  0.1819000 -2.250        2.607        0.1265000
## 1956   3.744 0.7129 -3.331e-01                          1.932       -0.7109000
## 4014   5.202 1.1090             0.1437000 -2.208        2.568        0.0135400
## 1744   4.823 0.2961 -2.056e-01  0.8404000 -1.912              1.921 -0.8284000
## 1432   6.079 0.7074 -1.366e-01  0.6427000        -1.907             -1.2390000
## 1998   4.852 0.2937             0.8414000 -1.911              1.963 -0.8505000
## 1959   3.803        -5.049e-01  0.7099000               1.769       -0.5051000
## 3800   6.810 0.8404 -4.760e-01  0.4158000        -2.012       1.879 -0.6775000
## 976    4.745 0.2768 -3.113e-01  0.8959000 -1.894              1.891 -0.7722000
## 1999   5.081        -2.462e-01  0.8334000 -1.925              1.952 -0.7933000
## 1696   6.439 0.6163 -2.973e-01  0.5061000 -1.750 -1.811             -1.0030000
## 1816   4.867 0.5822 -4.424e-01  0.8654000        -1.666                       
## 928    6.404 0.6073 -3.374e-01  0.5295000 -1.744 -1.806             -0.9811000
## 3972   6.204 0.6865 -9.761e-01                                      -0.4669000
## 3536   6.733 0.5430 -6.930e-01  0.4956000 -2.067              2.340 -0.3323000
## 1480   4.243 0.3685 -1.026e-01  1.0170000                     1.930 -1.0190000
## 3544   6.954 0.8499 -4.378e-01  0.4094000        -2.039       1.948 -0.7077000
## 3784   5.337 0.6060 -6.841e-01  0.6707000                     2.013 -0.4482000
## 2976   7.891 0.8828 -9.572e-01  0.1829000 -1.830 -2.116             -0.4384000
## 3056   4.805 0.8713 -8.774e-01  0.4752000 -2.328        2.319 1.895  0.1892000
## 1950   6.413 0.6313             0.4784000 -1.744 -1.846             -1.0460000
## 3880   4.589 1.0700 -9.504e-01  0.4478000               2.128                 
## 3752   4.569 1.0760 -9.328e-01  0.4332000               2.120       -0.0465500
## 4044   6.908 0.4988 -7.117e-01            -2.094              2.195 -0.3624000
## 4023   6.706        -7.113e-01  0.0451900        -2.243 2.192       -0.2284000
## 4047   6.758        -7.571e-01  0.4577000 -2.071              2.264 -0.2644000
## 4052   7.138 0.8185 -4.402e-01                   -2.061       1.846 -0.7443000
## 4054   6.624 0.8516             0.3835000        -2.048       1.935 -0.7684000
## 3991   7.639        -8.080e-01  0.1994000        -2.018             -0.5757000
## 2984   4.327 1.0450 -1.012e+00  0.5004000               2.115       -0.0098580
## 3912   5.222 0.5843 -7.816e-01  0.7365000                     2.004           
## 1864   3.470 0.3034 -3.594e-01  1.1630000                     1.697           
## 1975   4.858        -1.851e-01  0.4981000        -1.919 1.977       -0.7703000
## 1456   4.650 0.8151 -3.501e-01  0.5867000 -2.096        2.351       -0.4877000
## 1948   6.829 0.5635 -2.328e-01            -1.791 -1.853             -1.1060000
## 3998   8.086 0.9528             0.0184400 -1.845 -2.224             -0.6581000
## 4004   4.911 1.0420 -9.045e-01                          2.143       -0.1063000
## 4046   6.188 0.5450             0.4588000 -2.040              2.318 -0.4293000
## 3975   6.137        -1.043e+00  0.4754000                           -0.3492000
## 3528   5.613 0.6111 -6.316e-01  0.6777000                     2.145 -0.4931000
## 3488   8.888 0.9659 -7.649e-01  0.0479100 -1.875 -2.244             -0.5771000
## 4079   5.906        -7.293e-01  0.2929000 -2.396        2.149 2.094  0.1310000
## 4063   8.237        -5.512e-01  0.1825000 -2.091 -1.934       2.151 -0.4763000
## 3064   5.197 1.2130 -5.567e-01  0.3727000        -2.269 2.268 1.517 -0.2630000
## 1488   5.199 0.2890 -1.252e-01  0.8698000 -1.929              2.097 -0.9033000
## 3928   6.527 0.8092 -6.133e-01  0.5063000        -1.953       1.867           
## 4015   6.236        -1.060e+00  0.1349000 -2.229        2.333        0.2169000
## 1951   6.794        -3.605e-01  0.4527000 -1.771 -1.754             -0.9346000
## 4038   5.072 0.6100             0.6420000                     2.101 -0.5716000
## 3728   6.870 0.6814 -1.093e+00  0.3521000 -1.842                    -0.2454000
## 3016   4.927 0.5655 -8.224e-01  0.7697000                     1.928 -0.3856000
## 4039   5.630        -7.058e-01  0.6356000                     2.055 -0.4153000
## 3856   6.814 0.6689 -1.146e+00  0.3870000 -1.856                              
## 3024   5.915 0.4916 -9.084e-01  0.6182000 -1.992              2.110 -0.2211000
## 1448   3.781 0.8303 -3.162e-01  0.7746000               1.978       -0.6725000
## 1988   4.588 0.2707 -9.966e-02                                1.649 -1.1220000
## 1872   4.514 0.2306 -3.574e-01  0.9958000 -1.950              1.885           
## 3040   7.241 0.7217 -7.155e-01  0.3716000 -1.996 -1.980       1.962 -0.4402000
## 4036   5.874 0.5535 -6.451e-01                                1.965 -0.5457000
## 3974   5.389 0.7483             0.4660000                           -0.5732000
## 2030   3.752 0.6094             0.7507000 -2.202        2.083 1.732 -0.5227000
## 3032   6.249 0.7952 -6.298e-01  0.5240000        -1.976       1.780 -0.6045000
## 3980   7.164 0.6515 -1.070e+00            -1.873                    -0.2947000
## 1776   3.681 0.6156 -1.181e-01  0.7382000 -2.201        2.073 1.704 -0.5163000
## 1008   3.632 0.5958 -2.235e-01  0.7957000 -2.185        2.080 1.676 -0.4596000
## 2960   6.519 0.6487 -1.184e+00  0.4324000 -1.812                    -0.2030000
## 3999   8.739        -8.829e-01  0.0180100 -1.892 -2.047             -0.4350000
## 1996   5.492 0.2036 -1.323e-01            -1.974              1.848 -0.9810000
## 1424   6.055 0.4794 -4.772e-01  0.6738000 -1.747                    -0.8453000
## 1904   3.515 0.5816 -2.216e-01  0.8411000 -2.235        2.152 1.677           
## 2006   4.954 0.5279             0.8367000        -1.669       1.592 -1.1820000
## 2046   4.828 0.8293             0.5658000 -2.232 -1.914 2.349 1.484 -0.7402000
## 4006   4.191 1.0960             0.3785000               2.152       -0.2104000
## 1752   4.884 0.5368  4.977e-02  0.8191000        -1.677       1.593 -1.1950000
## 1792   4.702 0.8475  1.733e-01  0.5308000 -2.231 -1.936 2.354 1.501 -0.7737000
## 4055   7.082        -5.016e-01  0.3651000        -1.913       1.941 -0.6263000
## 984    4.833 0.5236 -1.886e-02  0.8542000        -1.670       1.576 -1.1570000
## 3464   6.410 0.7678 -9.279e-01  0.5051000                           -0.4867000
## 1824   5.902 0.5313 -4.707e-01  0.6912000 -1.799 -1.686                       
## 1024   4.594 0.8296  6.746e-02  0.5848000 -2.213 -1.927 2.359 1.470 -0.7153000
## 1520   4.041 0.6097 -5.110e-02  0.7703000 -2.220        2.097 1.863 -0.5777000
## 2031   4.181        -1.838e-01  0.7099000 -2.211        1.965 1.774 -0.4700000
## 3983   7.197        -1.120e+00  0.3010000 -1.859                    -0.2077000
## 3496   5.079 1.1180 -8.592e-01  0.4146000               2.188       -0.1194000
## 1536   4.971 0.8472  2.248e-01  0.5498000 -2.245 -1.968 2.376 1.609 -0.8208000
## 4032   7.244 1.4330 -7.087e-01 -0.1361000 -2.327 -2.518 2.933       -0.0284300
## 1440   7.019 0.6491 -1.823e-01  0.4927000 -1.752 -1.912             -1.1290000
## 2007   5.188        -1.690e-03  0.7865000        -1.621       1.647 -1.1370000
## 1496   5.196 0.5382  1.297e-01  0.8356000        -1.719       1.736 -1.2680000
## 2044   5.153 0.7981  2.229e-01            -2.276 -1.987 2.394 1.448 -0.8690000
## 2028   4.280 0.5374 -5.960e-02            -2.262        2.119 1.636 -0.6407000
## 2014   5.908 0.4497             0.6908000 -1.905 -1.662       1.773 -1.0760000
## 3816   4.277 0.9302 -6.430e-01  0.5705000               1.906 1.811 -0.1352000
## 3944   4.276 0.9220 -6.809e-01  0.5989000               1.927 1.808           
## 1760   5.836 0.4585  3.529e-02  0.6736000 -1.904 -1.668       1.772 -1.0870000
## 4007   5.175        -9.813e-01  0.3674000               1.917       -0.0234400
## 1000   2.840 0.6307 -1.821e-01  0.9600000               1.708 1.532 -0.6597000
## 2022   2.867 0.6406             0.9324000               1.711 1.570 -0.7006000
## 1920   4.314 0.7965  2.951e-02  0.6734000 -2.280 -1.852 2.456 1.465           
## 1768   2.806 0.6458 -1.188e-01  0.9217000               1.701 1.542 -0.6932000
## 992    5.703 0.4413 -7.090e-02  0.7260000 -1.884 -1.659       1.738 -1.0280000
## 3982   6.407 0.7033             0.2875000 -1.808                    -0.4472000
## 3560   4.524 0.9352 -6.017e-01  0.5803000               1.924 1.924 -0.1694000
## 2004   5.506 0.4616  1.407e-01                   -1.751       1.510 -1.3610000
## 2015   6.119        -1.256e-02  0.6479000 -1.924 -1.620       1.820 -1.0340000
## 1504   6.139 0.4580  1.055e-01  0.6902000 -1.917 -1.706       1.904 -1.1520000
## 3472   7.477 0.7197 -1.007e+00  0.3282000 -1.848                    -0.3425000
## 4087   6.289        -4.451e-01  0.2072000        -2.129 2.000 1.740 -0.3043000
## 4070   4.034 0.9342             0.5465000               1.919 1.893 -0.2483000
## 4068   4.736 0.8887 -6.136e-01                          1.941 1.767 -0.2111000
## 2047   5.253         8.756e-02  0.4860000 -2.243 -1.833 2.188 1.605 -0.7057000
## 3048   3.878 0.8879 -7.851e-01  0.6732000               1.907 1.726 -0.0710600
## 1896   2.507 0.6058 -2.461e-01  1.0540000               1.799 1.500           
## 2023   3.311        -1.839e-01  0.8893000               1.585 1.615 -0.6472000
## 2012   6.389 0.3927  1.052e-01            -1.953 -1.729       1.708 -1.2180000
## 1512   3.173 0.6420 -3.887e-02  0.9539000               1.724 1.717 -0.7655000
## 2038   3.912 0.8571             0.7530000        -1.881 1.967 1.324 -0.9167000
## 1784   3.797 0.8740  1.675e-01  0.7204000        -1.902 1.973 1.341 -0.9484000
## 1016   3.777 0.8611  1.047e-01  0.7547000        -1.896 1.978 1.327 -0.9138000
## 1880   4.245 0.4400 -1.679e-01  1.0430000        -1.530       1.546           
## 1528   4.080 0.8765  2.333e-01  0.7387000        -1.941 1.995 1.464 -1.0070000
## 2020   3.481 0.5536 -3.586e-02                          1.745 1.451 -0.8588000
## 4071   4.805        -6.770e-01  0.5258000               1.723 1.892 -0.1172000
## 4096   6.949 1.2660 -4.433e-01  0.0097130 -2.466 -2.381 2.724 1.820 -0.0882000
## 1888   5.294 0.3674 -1.653e-01  0.8750000 -1.953 -1.535       1.734           
## 2036   4.343 0.8125  2.446e-01                   -1.972 2.016 1.262 -1.0870000
## 1928   4.528 0.5038 -5.650e-01  0.8379000                           -0.8139000
## 1912   3.264 0.8150 -2.658e-03  0.8952000        -1.799 2.088 1.291           
## 2039   4.349         8.209e-02  0.6723000        -1.796 1.798 1.446 -0.8806000
## 4024   6.090 1.4100 -6.373e-01  0.1172000        -2.433 2.485       -0.2712000
## 1984   5.172 1.0050 -1.099e-01  0.3930000 -2.131 -2.074 2.556       -0.6694000
## 1944   5.538 0.6699 -2.633e-01  0.6650000        -1.803             -1.1070000
## 1968   4.163 0.7748 -4.733e-01  0.6028000 -2.084        2.282       -0.3726000
## 1936   5.463 0.4453 -6.109e-01  0.6890000 -1.745                    -0.7048000
## 1960   3.288 0.7890 -4.424e-01  0.7900000               1.910       -0.5537000
## 1976   4.255 1.0150 -8.644e-02  0.5891000        -2.028 2.169       -0.8478000
## 3992   7.301 0.9713 -7.660e-01  0.2632000        -2.128             -0.6370000
## 1992   3.960 0.3633 -2.166e-01  1.0080000                     1.747 -0.9255000
## 4016   5.666 1.0810 -1.021e+00  0.2105000 -2.234        2.540        0.1980000
## 3976   5.823 0.7261 -1.021e+00  0.5343000                           -0.3859000
## 4080   5.435 0.9181 -7.088e-01  0.3511000 -2.394        2.332 2.015  0.1182000
## 2000   4.927 0.2848 -2.313e-01  0.8626000 -1.913              1.926 -0.8173000
## 4000   8.403 0.9259 -8.420e-01  0.0809300 -1.869 -2.152             -0.4951000
## 1952   6.480 0.6118 -3.084e-01  0.5151000 -1.750 -1.809             -0.9983000
## 4040   5.380 0.6006 -6.944e-01  0.6812000                     2.014 -0.4443000
## 4048   6.526 0.5344 -7.466e-01  0.4997000 -2.053              2.227 -0.2915000
## 4008   4.608 1.0710 -9.426e-01  0.4428000               2.122       -0.0426900
## 4064   7.970 0.7759 -5.262e-01  0.2306000 -2.066 -2.025       2.091 -0.5256000
## 4088   5.767 1.2610 -3.976e-01  0.2602000        -2.307 2.275 1.618 -0.3372000
## 4056   6.807 0.8409 -4.751e-01  0.4150000        -2.012       1.879 -0.6778000
## 3984   6.893 0.6786 -1.099e+00  0.3577000 -1.842                    -0.2433000
## 2032   3.803 0.6029 -1.488e-01  0.7646000 -2.202        2.078 1.709 -0.5022000
## 2008   4.945 0.5295  3.327e-02  0.8333000        -1.673       1.597 -1.1880000
## 2048   4.786 0.8379  1.508e-01  0.5500000 -2.232 -1.931 2.357 1.505 -0.7630000
## 2024   2.917 0.6341 -1.470e-01  0.9461000               1.705 1.547 -0.6803000
## 4072   4.332 0.9234 -6.564e-01  0.5842000               1.908 1.813 -0.1299000
## 2016   5.904 0.4505  1.730e-02  0.6890000 -1.905 -1.664       1.776 -1.0780000
## 2040   3.871 0.8655  1.474e-01  0.7376000        -1.898 1.975 1.345 -0.9390000
##              x6       x7         x8     x9 df   logLik  AICc delta weight
## 2169                                -2.624  7 -106.631 229.9  0.00  0.024
## 2105                                -2.331  6 -108.380 230.7  0.79  0.016
## 2170                                -2.848  8 -105.948 231.4  1.48  0.011
## 2106                                -2.622  7 -107.467 231.6  1.67  0.010
## 3193                     -0.9562000 -2.907  8 -106.193 231.9  1.97  0.009
## 2153                                -2.240  6 -109.055 232.1  2.14  0.008
## 2137                                -2.522  6 -109.107 232.2  2.24  0.008
## 57                                          5 -110.466 232.3  2.37  0.007
## 2171                                -2.786  8 -106.471 232.5  2.53  0.007
## 2161                                -2.571  6 -109.288 232.5  2.60  0.006
## 2097                                -2.308  5 -110.590 232.5  2.62  0.006
## 121                                         6 -109.374 232.7  2.77  0.006
## 2681            0.194400            -2.593  8 -106.613 232.7  2.81  0.006
## 2425  0.1002000                     -2.634  8 -106.626 232.8  2.83  0.006
## 2297                                -2.594  8 -106.626 232.8  2.84  0.006
## 2173                                -2.603  8 -106.627 232.8  2.84  0.006
## 2107                                -2.553  7 -108.122 232.9  2.98  0.005
## 3129                     -0.7272000 -2.533  7 -108.142 233.0  3.02  0.005
## 2617            0.622500            -2.254  7 -108.195 233.1  3.13  0.005
## 2121                                -2.188  5 -110.873 233.1  3.18  0.005
## 105                                         5 -110.947 233.3  3.33  0.004
## 2129                                -2.489  5 -110.965 233.3  3.36  0.004
## 3194                     -1.0530000 -3.174  9 -105.404 233.3  3.38  0.004
## 2361  0.1270000                     -2.343  7 -108.372 233.4  3.48  0.004
## 2109                                -2.364  7 -108.372 233.4  3.48  0.004
## 2089                                -1.877  5 -111.025 233.4  3.49  0.004
## 2233                                -2.301  7 -108.375 233.4  3.49  0.004
## 41                                          4 -112.300 233.5  3.56  0.004
## 2098                                -2.593  6 -109.790 233.5  3.60  0.004
## 2073                                -2.180  5 -111.114 233.6  3.66  0.004
## 3130                     -0.8594000 -2.877  8 -107.124 233.8  3.83  0.003
## 49                                          4 -112.471 233.8  3.90  0.003
## 2108                                -2.833  8 -107.218 233.9  4.02  0.003
## 2065                                -2.178  4 -112.535 234.0  4.03  0.003
## 3177                     -0.9622000 -2.525  7 -108.653 234.0  4.04  0.003
## 73                                          4 -112.559 234.0  4.08  0.003
## 3161                     -0.9971000 -2.818  7 -108.675 234.0  4.09  0.003
## 2162                                -2.793  7 -108.681 234.0  4.10  0.003
## 2172                                -3.006  9 -105.788 234.1  4.15  0.003
## 2113                                -2.156  4 -112.601 234.1  4.16  0.003
## 58                                          6 -110.078 234.1  4.18  0.003
## 2618            0.552400            -2.548  8 -107.317 234.1  4.22  0.003
## 2154                                -2.377  7 -108.745 234.2  4.23  0.003
## 2145                                -2.196  5 -111.398 234.2  4.23  0.003
## 89                                          5 -111.426 234.2  4.29  0.003
## 569             0.852700                    6 -110.141 234.2  4.31  0.003
## 2155                                -2.448  7 -108.830 234.3  4.40  0.003
## 2426  0.1919000                     -2.869  9 -105.928 234.4  4.43  0.003
## 2174                                -2.810  9 -105.933 234.4  4.44  0.003
## 2682            0.165600            -2.820  9 -105.934 234.4  4.44  0.003
## 2298                                -2.812  9 -105.940 234.4  4.45  0.003
## 2362  0.2332000                     -2.648  8 -107.440 234.4  4.46  0.003
## 25                                          4 -112.769 234.4  4.50  0.002
## 2234                                -2.585  8 -107.460 234.4  4.50  0.002
## 2110                                -2.627  8 -107.467 234.4  4.52  0.002
## 2139                                -2.717  7 -108.899 234.5  4.54  0.002
## 2138                                -2.639  7 -108.912 234.5  4.56  0.002
## 185                                         6 -110.274 234.5  4.57  0.002
## 2265                                -2.374  7 -108.981 234.6  4.70  0.002
## 2665            0.402700            -2.182  7 -108.983 234.6  4.71  0.002
## 2157                                -2.158  7 -108.989 234.6  4.72  0.002
## 33                                          3 -114.085 234.7  4.76  0.002
## 113                                         5 -111.674 234.7  4.78  0.002
## 3195                     -0.8828000 -3.004  9 -106.107 234.7  4.78  0.002
## 17                                          3 -114.098 234.7  4.79  0.002
## 2081                                -1.865  4 -112.915 234.7  4.79  0.002
## 3185                     -0.7781000 -2.800  7 -109.027 234.7  4.79  0.002
## 2099                                -2.511  6 -110.393 234.7  4.81  0.002
## 2609            0.667200            -2.226  6 -110.395 234.7  4.82  0.002
## 2141                                -2.437  7 -109.046 234.8  4.83  0.002
## 9                                           3 -114.122 234.8  4.84  0.002
## 61                                          6 -110.407 234.8  4.84  0.002
## 2409  0.1016000                     -2.250  7 -109.050 234.8  4.84  0.002
## 2281                                -2.234  7 -109.055 234.8  4.85  0.002
## 2649            0.339200            -2.469  7 -109.056 234.8  4.85  0.002
## 65                                          3 -114.134 234.8  4.86  0.002
## 2393  0.1929000                     -2.541  7 -109.089 234.8  4.92  0.002
## 3121                     -0.5825000 -2.470  6 -110.450 234.9  4.93  0.002
## 1081                     -0.1380000         6 -110.458 234.9  4.94  0.002
## 3321                     -0.9594000 -2.871  9 -106.185 234.9  4.94  0.002
## 59                                          6 -110.458 234.9  4.94  0.002
## 3197                     -0.9676000 -2.926  9 -106.191 234.9  4.95  0.002
## 3449 -0.0623000          -0.9680000 -2.904  9 -106.191 234.9  4.95  0.002
## 3705            0.064320 -0.9473000 -2.894  9 -106.191 234.9  4.95  0.002
## 313  -0.0542200                             6 -110.465 234.9  4.96  0.002
## 3145                     -0.9984000 -2.484  6 -110.470 234.9  4.96  0.002
## 249                                         7 -109.136 234.9  5.01  0.002
## 122                                         7 -109.137 234.9  5.01  0.002
## 1                                           2 -115.358 235.0  5.04  0.002
## 2057                                -1.784  4 -113.054 235.0  5.07  0.002
## 2163                                -2.718  7 -109.168 235.0  5.07  0.002
## 97                                          4 -113.061 235.0  5.08  0.002
## 81                                          4 -113.070 235.0  5.10  0.002
## 2225                                -2.211  6 -110.543 235.0  5.11  0.002
## 553             1.037000                    5 -111.848 235.1  5.13  0.002
## 2090                                -2.070  6 -110.557 235.1  5.14  0.002
## 125                                         7 -109.209 235.1  5.16  0.002
## 2353  0.1303000                     -2.320  6 -110.583 235.1  5.19  0.002
## 2101                                -2.281  6 -110.586 235.1  5.20  0.002
## 2289                                -2.471  7 -109.234 235.1  5.21  0.002
## 633             0.546600                    7 -109.241 235.1  5.22  0.002
## 2165                                -2.496  7 -109.242 235.2  5.22  0.002
## 2673            0.289300            -2.526  7 -109.251 235.2  5.24  0.002
## 2123                                -2.422  6 -110.609 235.2  5.24  0.002
## 2049                                -1.785  3 -114.340 235.2  5.27  0.002
## 2417  0.1064000                     -2.581  7 -109.282 235.2  5.30  0.002
## 2091                                -2.161  6 -110.673 235.3  5.37  0.002
## 3153                     -0.8338000 -2.735  6 -110.684 235.3  5.39  0.002
## 2601            0.882700            -1.787  6 -110.684 235.3  5.39  0.002
## 109                                         6 -110.688 235.3  5.40  0.002
## 2619            0.659400            -2.481  8 -107.912 235.3  5.41  0.002
## 1145                     -0.2500000         7 -109.345 235.4  5.43  0.002
## 2683            0.237300            -2.753  9 -106.444 235.4  5.46  0.002
## 2125                                -2.062  6 -110.722 235.4  5.47  0.002
## 377  -0.0947500                             7 -109.369 235.4  5.48  0.002
## 123                                         7 -109.372 235.4  5.48  0.002
## 3131                     -0.6225000 -2.697  8 -107.950 235.4  5.48  0.002
## 2175                                -2.763  9 -106.466 235.4  5.50  0.002
## 2427  0.0367500                     -2.788  9 -106.470 235.4  5.51  0.002
## 2299                                -2.783  9 -106.471 235.4  5.51  0.002
## 2130                                -2.617  6 -110.751 235.5  5.53  0.001
## 617             0.675800                    6 -110.756 235.5  5.54  0.001
## 2633            0.509900            -2.116  6 -110.765 235.5  5.56  0.001
## 2257                                -2.299  6 -110.769 235.5  5.56  0.001
## 3641            0.552900 -0.6657000 -2.448  8 -107.996 235.5  5.58  0.001
## 2075                                -2.448  6 -110.782 235.5  5.59  0.001
## 42                                          5 -112.084 235.5  5.60  0.001
## 2074                                -2.348  6 -110.798 235.6  5.62  0.001
## 2122                                -2.254  6 -110.801 235.6  5.63  0.001
## 2249                                -2.069  6 -110.801 235.6  5.63  0.001
## 2131                                -2.666  6 -110.804 235.6  5.63  0.001
## 233                                         6 -110.805 235.6  5.64  0.001
## 2585            0.827000            -2.082  6 -110.818 235.6  5.66  0.001
## 3113                     -0.7073000 -2.073  6 -110.822 235.6  5.67  0.001
## 50                                          5 -112.129 235.6  5.69  0.001
## 106                                         6 -110.843 235.6  5.71  0.001
## 561             0.894100                    5 -112.141 235.6  5.72  0.001
## 2133                                -2.367  6 -110.846 235.6  5.72  0.001
## 2377  0.1848000                     -2.206  6 -110.858 235.7  5.74  0.001
## 177                                         5 -112.162 235.7  5.76  0.001
## 2809            0.189000            -2.567  9 -106.609 235.7  5.79  0.001
## 2937  0.0849900 0.186800            -2.602  9 -106.609 235.7  5.79  0.001
## 2685            0.192900            -2.573  9 -106.609 235.7  5.79  0.001
## 77                                          5 -112.179 235.7  5.79  0.001
## 3133                     -0.7748000 -2.614  8 -108.110 235.7  5.80  0.001
## 3097                     -0.7426000 -2.387  6 -110.891 235.7  5.81  0.001
## 45                                          5 -112.186 235.7  5.81  0.001
## 2553  0.1013000                     -2.604  9 -106.620 235.7  5.81  0.001
## 2111                                -2.581  8 -108.116 235.7  5.82  0.001
## 2301                                -2.578  9 -106.623 235.7  5.82  0.001
## 2429  0.0894000                     -2.614  9 -106.623 235.7  5.82  0.001
## 2641            0.403400            -2.426  6 -110.898 235.7  5.82  0.001
## 1129                     -0.3338000         6 -110.899 235.8  5.82  0.001
## 2363  0.0429400                     -2.555  8 -108.121 235.8  5.83  0.001
## 2235                                -2.560  8 -108.122 235.8  5.83  0.001
## 169                                         5 -112.202 235.8  5.84  0.001
## 3257                     -0.7301000 -2.499  8 -108.135 235.8  5.85  0.001
## 2066                                -2.352  5 -112.213 235.8  5.86  0.001
## 3385  0.0062310          -0.7260000 -2.534  8 -108.142 235.8  5.87  0.001
## 201                                         5 -112.218 235.8  5.87  0.001
## 217                                         6 -110.931 235.8  5.89  0.001
## 3122                     -0.7094000 -2.803  7 -109.576 235.8  5.89  0.001
## 107                                         6 -110.940 235.8  5.91  0.001
## 361  -0.0692800                             6 -110.945 235.8  5.92  0.001
## 43                                          5 -112.243 235.8  5.92  0.001
## 2385  0.1863000                     -2.507  6 -110.949 235.9  5.92  0.001
## 2577            0.840800            -2.078  5 -112.245 235.9  5.93  0.001
## 2100                                -2.785  7 -109.601 235.9  5.94  0.001
## 2621            0.621300            -2.286  8 -108.188 235.9  5.96  0.001
## 2873  0.0748100 0.615900            -2.262  8 -108.192 235.9  5.97  0.001
## 2745            0.618800            -2.235  8 -108.193 235.9  5.97  0.001
## 2067                                -2.424  5 -112.270 235.9  5.97  0.001
## 2201                                -2.022  6 -110.979 235.9  5.98  0.001
## 2610            0.599000            -2.513  7 -109.628 235.9  5.99  0.001
## 1065                     -0.2137000         5 -112.281 235.9  6.00  0.001
## 297  -0.0194200                             5 -112.300 236.0  6.04  0.001
## 2093                                -1.840  6 -111.014 236.0  6.05  0.001
## 2345  0.1317000                     -1.890  6 -111.017 236.0  6.06  0.001
## 2217                                -1.873  6 -111.025 236.0  6.07  0.001
## 585             0.771700                    5 -112.324 236.0  6.08  0.001
## 153                                         5 -112.330 236.0  6.09  0.001
## 53                                          5 -112.331 236.0  6.10  0.001
## 145                                         4 -113.569 236.0  6.10  0.001
## 537             1.030000                    5 -112.333 236.0  6.10  0.001
## 521             1.180000                    4 -113.574 236.0  6.11  0.001
## 3137                     -0.8353000 -2.403  5 -112.337 236.0  6.11  0.001
## 2193                                -1.982  5 -112.337 236.0  6.11  0.001
## 3178                     -1.0320000 -2.695  8 -108.279 236.1  6.14  0.001
## 2117                                -1.997  5 -112.373 236.1  6.18  0.001
## 2329  0.2322000                     -2.203  6 -111.090 236.1  6.20  0.001
## 2226                                -2.490  7 -109.734 236.1  6.21  0.001
## 3089                     -0.6173000 -2.350  5 -112.389 236.1  6.21  0.001
## 2115                                -2.372  5 -112.390 236.1  6.21  0.001
## 545             1.073000                    4 -113.635 236.2  6.23  0.001
## 2077                                -2.144  6 -111.105 236.2  6.24  0.001
## 513             1.192000                    3 -114.826 236.2  6.25  0.001
## 2146                                -2.332  6 -111.116 236.2  6.26  0.001
## 2354  0.2345000                     -2.619  7 -109.764 236.2  6.27  0.001
## 570             0.825900                    7 -109.768 236.2  6.27  0.001
## 69                                          4 -113.658 236.2  6.28  0.001
## 3186                     -0.8724000 -3.062  8 -108.346 236.2  6.28  0.001
## 2102                                -2.542  7 -109.769 236.2  6.28  0.001
## 93                                          6 -111.131 236.2  6.29  0.001
## 2365  0.1480000                     -2.384  8 -108.362 236.2  6.31  0.001
## 529             1.043000                    4 -113.674 236.2  6.31  0.001
## 2237                                -2.333  8 -108.366 236.2  6.32  0.001
## 2489  0.1281000                     -2.313  8 -108.367 236.2  6.32  0.001
## 3169                     -0.7869000 -2.427  6 -111.153 236.3  6.33  0.001
## 3196                     -0.9833000 -3.263 10 -105.325 236.3  6.36  0.001
## 51                                          5 -112.468 236.3  6.37  0.001
## 305  -0.0491200                             5 -112.470 236.3  6.37  0.001
## 1073                     -0.0113900         5 -112.471 236.3  6.38  0.001
## 193                                         4 -113.709 236.3  6.38  0.001
## 2241                                -1.992  5 -112.474 236.3  6.38  0.001
## 2625            0.573000            -2.075  5 -112.474 236.3  6.38  0.001
## 209                                         5 -112.480 236.3  6.40  0.001
## 186                                         7 -109.843 236.4  6.42  0.001
## 2069                                -2.101  5 -112.496 236.4  6.43  0.001
## 2082                                -2.055  5 -112.498 236.4  6.43  0.001
## 3162                     -1.0560000 -2.967  8 -108.426 236.4  6.44  0.001
## 1097                     -0.3791000         5 -112.501 236.4  6.44  0.001
## 2321  0.2229000                     -2.200  5 -112.514 236.4  6.46  0.001
## 2114                                -2.230  5 -112.514 236.4  6.46  0.001
## 2147                                -2.388  6 -111.222 236.4  6.47  0.001
## 3132                     -0.7608000 -3.024  9 -106.954 236.4  6.48  0.001
## 3322                     -1.0570000 -3.132 10 -105.392 236.4  6.50  0.001
## 601             0.668200                    6 -111.242 236.4  6.51  0.001
## 75                                          5 -112.540 236.4  6.52  0.001
## 3450  0.0207900          -1.0490000 -3.175 10 -105.403 236.4  6.52  0.001
## 3706            0.019420 -1.0500000 -3.170 10 -105.403 236.4  6.52  0.001
## 3198                     -1.0530000 -3.173 10 -105.404 236.4  6.52  0.001
## 2149                                -2.068  6 -111.250 236.5  6.52  0.001
## 74                                          5 -112.554 236.5  6.54  0.001
## 329   0.0155300                             5 -112.559 236.5  6.55  0.001
## 2593            0.919400            -1.771  5 -112.572 236.5  6.58  0.001
## 129                                         3 -115.001 236.5  6.60  0.001
## 3642            0.464300 -0.8052000 -2.798  9 -107.018 236.5  6.61  0.001
## 3179                     -0.8640000 -2.661  8 -108.513 236.5  6.61  0.001
## 2369  0.1782000                     -2.173  5 -112.587 236.5  6.61  0.001
## 2156                                -2.586  8 -108.516 236.5  6.62  0.001
## 2657            0.491000            -2.125  6 -111.301 236.6  6.63  0.001
## 241                                         6 -111.307 236.6  6.64  0.001
## 137                                         4 -113.840 236.6  6.64  0.001
## 3289                     -1.0090000 -2.667  8 -108.538 236.6  6.66  0.001
## 2620            0.588700            -2.763  9 -107.045 236.6  6.66  0.001
## 2569            1.040000            -1.681  5 -112.615 236.6  6.66  0.001
## 62                                          7 -109.973 236.6  6.68  0.001
## 3163                     -0.9044000 -2.941  8 -108.552 236.6  6.69  0.001
## 29                                          5 -112.631 236.6  6.70  0.001
## 2083                                -2.129  5 -112.634 236.6  6.70  0.001
## 2164                                -2.937  8 -108.563 236.6  6.71  0.001
## 697             0.803400                    7 -109.986 236.6  6.71  0.001
## 37                                          4 -113.879 236.6  6.72  0.001
## 577             0.828700                    4 -113.879 236.6  6.72  0.001
## 2059                                -2.106  5 -112.642 236.6  6.72  0.001
## 21                                          4 -113.886 236.7  6.73  0.001
## 34                                          4 -113.893 236.7  6.75  0.001
## 161                                         4 -113.898 236.7  6.76  0.001
## 5                                           3 -115.084 236.7  6.76  0.001
## 2273                                -2.117  6 -111.370 236.7  6.76  0.001
## 26                                          5 -112.673 236.7  6.78  0.001
## 2561            1.051000            -1.681  4 -113.914 236.7  6.79  0.001
## 3134                     -0.8892000 -2.927  9 -107.110 236.7  6.79  0.001
## 1113                     -0.3101000         6 -111.385 236.7  6.79  0.001
## 3258                     -0.8633000 -2.835  9 -107.114 236.7  6.80  0.001
## 2166                                -2.704  8 -108.609 236.7  6.80  0.001
## 101                                         5 -112.684 236.7  6.80  0.001
## 85                                          5 -112.686 236.7  6.81  0.001
## 3386  0.0979400          -0.8420000 -2.883  9 -107.119 236.7  6.81  0.001
## 2401  0.1076000                     -2.206  6 -111.393 236.7  6.81  0.001
## 90                                          6 -111.395 236.7  6.82  0.001
## 13                                          4 -113.928 236.7  6.82  0.001
## 3689            0.276800 -0.9235000 -2.474  8 -108.619 236.8  6.82  0.001
## 2290                                -2.688  8 -108.620 236.8  6.82  0.001
## 117                                         6 -111.402 236.8  6.83  0.001
## 3181                     -0.9229000 -2.463  8 -108.629 236.8  6.84  0.001
## 1082                     -0.1716000         7 -110.064 236.8  6.87  0.001
## 91                                          6 -111.424 236.8  6.87  0.001
## 345   0.0010590                             6 -111.426 236.8  6.88  0.001
## 2674            0.260900            -2.751  8 -108.651 236.8  6.89  0.001
## 3433 -0.0619000          -0.9739000 -2.523  8 -108.651 236.8  6.89  0.001
## 2158                                -2.286  8 -108.652 236.8  6.89  0.001
## 3305                     -0.9633000 -2.512  8 -108.652 236.8  6.89  0.001
## 60                                          7 -110.075 236.8  6.89  0.001
## 314   0.0005537                             7 -110.078 236.8  6.89  0.001
## 3165                     -0.9612000 -2.758  8 -108.655 236.8  6.89  0.001
## 3673            0.205700 -0.9682000 -2.777  8 -108.657 236.8  6.90  0.001
## 27                                          5 -112.732 236.8  6.90  0.001
## 2418  0.1977000                     -2.815  8 -108.662 236.8  6.91  0.001
## 573             0.847100                    7 -110.085 236.8  6.91  0.001
## 3417  0.0259700          -0.9922000 -2.819  8 -108.675 236.9  6.93  0.001
## 2666            0.393700            -2.320  8 -108.676 236.9  6.93  0.001
## 114                                         6 -111.457 236.9  6.94  0.001
## 1049                     -0.1853000         5 -112.755 236.9  6.95  0.001
## 18                                          4 -113.994 236.9  6.95  0.001
## 2051                                -2.085  4 -114.002 236.9  6.96  0.001
## 281   0.0568800                             5 -112.768 236.9  6.97  0.001
## 2364  0.1522000                     -2.845  9 -107.206 236.9  6.98  0.001
## 571             0.868200                    7 -110.123 236.9  6.98  0.001
## 2140                                -2.835  8 -108.700 236.9  6.98  0.001
## 2112                                -2.835  9 -107.218 236.9  7.01  0.001
## 2236                                -2.831  9 -107.218 236.9  7.01  0.001
## 825  -0.1184000 0.861900                    7 -110.135 236.9  7.01  0.001
## 11                                          4 -114.025 236.9  7.01  0.001
## 1593            0.847200 -0.0742400         7 -110.139 236.9  7.02  0.001
## 3105                     -0.5671000 -2.022  5 -112.794 237.0  7.02  0.001
## 2410  0.1663000                     -2.395  8 -108.732 237.0  7.05  0.001
## 625             0.630100                    6 -111.513 237.0  7.05  0.001
## 35                                          4 -114.047 237.0  7.05  0.001
## 2667            0.452000            -2.392  8 -108.739 237.0  7.06  0.001
## 225                                         5 -112.814 237.0  7.06  0.001
## 2282                                -2.368  8 -108.745 237.0  7.07  0.001
## 2611            0.701600            -2.435  7 -110.176 237.0  7.09  0.001
## 2159                                -2.366  8 -108.763 237.0  7.11  0.001
## 19                                          4 -114.076 237.0  7.11  0.001
## 2266                                -2.486  8 -108.767 237.0  7.12  0.001
## 609             0.755300                    5 -112.841 237.0  7.12  0.001
## 10                                          4 -114.078 237.0  7.12  0.001
## 1057                     -0.0879400         4 -114.082 237.1  7.12  0.001
## 289  -0.0153200                             4 -114.085 237.1  7.13  0.001
## 2092                                -2.350  7 -110.206 237.1  7.15  0.001
## 3081                     -0.7232000 -1.985  5 -112.858 237.1  7.15  0.001
## 2085                                -1.778  5 -112.859 237.1  7.15  0.001
## 1041                     -0.0708700         4 -114.096 237.1  7.15  0.001
## 273   0.0478400                             4 -114.097 237.1  7.15  0.001
## 1033                     -0.2496000         4 -114.098 237.1  7.16  0.001
## 2874  0.1855000 0.535200            -2.571  9 -107.299 237.1  7.17  0.001
## 3                                           3 -115.288 237.1  7.17  0.001
## 593             0.725500                    5 -112.868 237.1  7.17  0.001
## 1089                     -0.2414000         4 -114.111 237.1  7.18  0.001
## 2746            0.547100            -2.521  9 -107.312 237.1  7.20  0.001
## 265   0.0794800                             4 -114.119 237.1  7.20  0.001
## 2622            0.552200            -2.552  9 -107.316 237.1  7.20  0.001
## 66                                          4 -114.122 237.1  7.21  0.001
## 67                                          4 -114.122 237.1  7.21  0.001
## 2                                           3 -115.307 237.1  7.21  0.001
## 2602            0.845900            -1.978  7 -110.239 237.1  7.22  0.001
## 2209                                -1.793  5 -112.892 237.1  7.22  0.001
## 2267                                -2.577  8 -108.820 237.2  7.22  0.001
## 189                                         7 -110.243 237.2  7.22  0.001
## 321   0.0115000                             4 -114.133 237.2  7.23  0.001
## 2283                                -2.482  8 -108.826 237.2  7.24  0.001
## 2142                                -2.547  8 -108.829 237.2  7.24  0.001
## 2411  0.0224400                     -2.449  8 -108.830 237.2  7.24  0.001
## 2058                                -1.891  5 -112.905 237.2  7.24  0.001
## 2684            0.207900            -2.976 10 -105.766 237.2  7.25  0.001
## 2651            0.388600            -2.664  8 -108.832 237.2  7.25  0.001
## 2337  0.1349000                     -1.878  5 -112.907 237.2  7.25  0.001
## 1209                     -0.1988000         7 -110.257 237.2  7.25  0.001
## 2143                                -2.631  8 -108.836 237.2  7.26  0.001
## 2176                                -2.967 10 -105.773 237.2  7.26  0.001
## 2428  0.1300000                     -3.016 10 -105.779 237.2  7.27  0.001
## 187                                         7 -110.271 237.2  7.28  0.001
## 441  -0.0323900                             7 -110.274 237.2  7.29  0.001
## 2300                                -2.996 10 -105.787 237.2  7.29  0.001
## 1025                     -0.1356000         3 -115.351 237.2  7.29  0.001
## 257   0.0703100                             3 -115.356 237.2  7.30  0.001
## 554             1.023000                    6 -111.640 237.2  7.31  0.001
## 2650            0.332100            -2.587  8 -108.863 237.2  7.31  0.001
## 3633            0.614000 -0.5154000 -2.376  7 -110.286 237.2  7.31  0.001
## 250                                         8 -108.865 237.2  7.31  0.001
## 3114                     -0.8065000 -2.306  7 -110.291 237.2  7.32  0.001
## 2050                                -1.899  4 -114.182 237.3  7.33  0.001
## 3123                     -0.4840000 -2.622  7 -110.298 237.3  7.33  0.001
## 2603            0.920000            -2.079  7 -110.298 237.3  7.33  0.001
## 3147                     -0.8854000 -2.640  7 -110.299 237.3  7.34  0.001
## 2394  0.2503000                     -2.668  8 -108.881 237.3  7.35  0.001
## 98                                          5 -112.963 237.3  7.36  0.001
## 1137                     -0.1038000         6 -111.669 237.3  7.36  0.001
## 115                                         6 -111.670 237.3  7.36  0.001
## 369  -0.0849000                             6 -111.671 237.3  7.37  0.001
## 2395  0.1169000                     -2.724  8 -108.892 237.3  7.37  0.001
## 3073                     -0.5995000 -1.952  4 -114.213 237.3  7.39  0.001
## 2185                                -1.656  5 -112.977 237.3  7.39  0.001
## 2177                                -1.618  4 -114.215 237.3  7.39  0.001
## 2669            0.391900            -2.104  8 -108.921 237.4  7.43  0.001
## 2053                                -1.663  4 -114.233 237.4  7.43  0.001
## 2061                                -1.698  5 -112.998 237.4  7.43  0.001
## 2490  0.2348000                     -2.611  9 -107.432 237.4  7.43  0.001
## 126                                         8 -108.926 237.4  7.44  0.001
## 2366  0.2407000                     -2.663  9 -107.438 237.4  7.45  0.001
## 2737            0.650200            -2.142  7 -110.358 237.4  7.45  0.001
## 2269                                -2.314  8 -108.940 237.4  7.46  0.001
## 2777            0.303900            -2.333  8 -108.941 237.4  7.47  0.001
## 3146                     -1.0370000 -2.573  7 -110.367 237.4  7.47  0.001
## 2227                                -2.433  7 -110.371 237.4  7.48  0.001
## 2238                                -2.593  9 -107.459 237.4  7.49  0.001
## 82                                          5 -113.028 237.4  7.49  0.001
## 3187                     -0.7082000 -2.892  8 -108.957 237.4  7.50  0.001
## 2313  0.2266000                     -1.807  5 -113.032 237.4  7.50  0.001
## 2521  0.1947000                     -2.393  8 -108.963 237.4  7.51  0.001
## 557             1.026000                    6 -111.743 237.4  7.51  0.001
## 2103                                -2.480  7 -110.386 237.4  7.51  0.001
## 3149                     -0.9223000 -2.367  7 -110.386 237.4  7.51  0.001
## 3313                     -0.7901000 -2.696  8 -108.964 237.4  7.51  0.001
## 2613            0.668100            -2.197  7 -110.390 237.4  7.52  0.001
## 3273                     -1.0080000 -2.362  7 -110.390 237.4  7.52  0.001
## 2355  0.0537400                     -2.514  7 -110.391 237.4  7.52  0.001
## 2865  0.0743900 0.660600            -2.234  7 -110.393 237.5  7.52  0.001
## 63                                          7 -110.394 237.5  7.53  0.001
## 1121                     -0.1877000         5 -113.047 237.5  7.53  0.001
## 3249                     -0.5934000 -2.370  7 -110.397 237.5  7.53  0.001
## 317  -0.0981900                             7 -110.403 237.5  7.54  0.001
## 1085                     -0.0997800         7 -110.403 237.5  7.54  0.001
## 2938  0.1794000 0.149200            -2.843 10 -105.917 237.5  7.55  0.001
## 2921  0.0692800 0.396600            -2.190  8 -108.981 237.5  7.55  0.001
## 2430  0.1726000                     -2.835 10 -105.918 237.5  7.55  0.001
## 2793            0.402800            -2.183  8 -108.983 237.5  7.55  0.001
## 99                                          5 -113.058 237.5  7.55  0.001
## 2554  0.1935000                     -2.833 10 -105.920 237.5  7.55  0.001
## 1105                     -0.1725000         5 -113.059 237.5  7.55  0.001
## 2686            0.162500            -2.784 10 -105.920 237.5  7.55  0.001
## 353  -0.0600300                             5 -113.060 237.5  7.55  0.001
## 555             1.066000                    6 -111.766 237.5  7.56  0.001
## 3657            0.380600 -0.9447000 -2.414  7 -110.410 237.5  7.56  0.001
## 2413  0.0493200                     -2.164  8 -108.988 237.5  7.56  0.001
## 178                                         6 -111.769 237.5  7.56  0.001
## 2285                                -2.163  8 -108.989 237.5  7.56  0.001
## 2810            0.159000            -2.789 10 -105.928 237.5  7.57  0.001
## 2302                                -2.782 10 -105.928 237.5  7.57  0.001
## 83                                          5 -113.070 237.5  7.58  0.001
## 337  -0.0029800                             5 -113.070 237.5  7.58  0.001
## 2653            0.330100            -2.387  8 -108.998 237.5  7.58  0.001
## 681             1.006000                    6 -111.778 237.5  7.58  0.001
## 3154                     -0.8976000 -2.894  7 -110.424 237.5  7.59  0.001
## 634             0.547900                    8 -109.002 237.5  7.59  0.001
## 3189                     -0.7450000 -2.742  8 -109.008 237.5  7.60  0.001
## 2305  0.2175000                     -1.807  4 -114.322 237.5  7.60  0.001
## 3697            0.188200 -0.7524000 -2.763  8 -109.011 237.5  7.61  0.001
## 253                                         8 -109.023 237.6  7.63  0.001
## 3441 -0.0248800          -0.7827000 -2.799  8 -109.026 237.6  7.64  0.001
## 3377  0.0345900          -0.5762000 -2.471  7 -110.450 237.6  7.64  0.001
## 3125                     -0.5808000 -2.467  7 -110.450 237.6  7.64  0.001
## 1083                     -0.1138000         7 -110.453 237.6  7.64  0.001
## 2587            0.866100            -2.357  7 -110.453 237.6  7.65  0.001
## 1337 -0.0829900          -0.1542000         7 -110.455 237.6  7.65  0.001
## 761             0.482100                    8 -109.032 237.6  7.65  0.001
## 315  -0.0738100                             7 -110.456 237.6  7.65  0.001
## 2127                                -2.296  7 -110.457 237.6  7.65  0.001
## 562             0.868100                    6 -111.814 237.6  7.65  0.001
## 2397  0.1431000                     -2.456  8 -109.036 237.6  7.66  0.001
## 2905  0.1658000 0.323900            -2.488  8 -109.043 237.6  7.67  0.001
## 2076                                -2.613  7 -110.467 237.6  7.67  0.001
## 3401  0.0173700          -0.9951000 -2.485  7 -110.470 237.6  7.68  0.001
## 3281                     -0.8527000 -2.544  7 -110.473 237.6  7.68  0.001
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## 325  -0.1294000                             5 -113.651 238.7  8.74  0.000
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## 130                                         4 -114.924 238.7  8.81  0.000
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## 222                                         8 -110.659 240.8 10.90  0.000
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## 80                                          7 -112.128 240.9 10.99  0.000
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## 387   0.0471500                             5 -114.953 241.3 11.34  0.000
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## 164                                         6 -113.662 241.3 11.35  0.000
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## 263  -0.1094000                             5 -114.988 241.3 11.41  0.000
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## 24                                          6 -113.707 241.4 11.44  0.000
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## 140                                         6 -113.708 241.4 11.44  0.000
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## 475   0.0335500                             8 -110.930 241.4 11.44  0.000
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## 397   0.0291900                             6 -113.711 241.4 11.45  0.000
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## 16                                          6 -113.742 241.4 11.51  0.000
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## 212                                         7 -112.395 241.5 11.53  0.000
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## 244                                         8 -111.028 241.6 11.64  0.000
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## 32                                          7 -112.456 241.6 11.65  0.000
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## 231                                         7 -112.514 241.7 11.77  0.000
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## 2182                                -1.630  6 -113.933 241.8 11.89  0.000
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## 1443 -0.0457800          -0.1090000         7 -113.866 244.4 14.47  0.000
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## 871  -0.2639000 0.743700                    8 -112.446 244.4 14.48  0.000
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## 288  -0.0335200                             8 -112.455 244.4 14.49  0.000
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## 344  -0.1130000                             8 -112.600 244.7 14.78  0.000
## 503  -0.1265000                             9 -111.107 244.7 14.79  0.000
## 1112                     -0.0798500         8 -112.602 244.7 14.79  0.000
## 3461  0.0778800          -0.5369000 -1.699  7 -114.026 244.7 14.79  0.000
## 2017 -0.1257000 0.674500 -0.2262000         8 -112.609 244.7 14.80  0.000
## 2488  0.1437000                     -2.674 10 -109.545 244.7 14.80  0.000
## 1398 -0.1565000          -0.0725800         9 -111.117 244.7 14.81  0.000
## 376  -0.1348000                             9 -111.117 244.7 14.81  0.000
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## 2998  0.1668000 0.566000            -2.410 10 -109.555 244.8 14.82  0.000
## 1978 -0.0674300 0.759400 -0.1886000        10 -109.558 244.8 14.83  0.000
## 3007 -0.0050810 0.662400            -2.525 11 -107.905 244.8 14.83  0.000
## 995  -0.1017000 0.708900                    8 -112.623 244.8 14.83  0.000
## 1724            0.758700 -0.1674000        10 -109.559 244.8 14.83  0.000
## 3342  0.1235000          -0.7082000 -2.046  8 -112.628 244.8 14.84  0.000
## 1308  0.0285200          -0.1457000         8 -112.633 244.8 14.85  0.000
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## 3519 -0.0238000          -0.6725000 -2.753 11 -107.924 244.8 14.87  0.000
## 1383 -0.2202000          -0.1008000         8 -112.655 244.8 14.89  0.000
## 1779            0.504100 -0.1873000         9 -111.167 244.8 14.91  0.000
## 1252                     -0.3074000         8 -112.663 244.8 14.91  0.000
## 1506 -0.0542000          -0.3004000         8 -112.663 244.8 14.91  0.000
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## 1348 -0.0350600          -0.2272000         7 -114.094 244.9 14.93  0.000
## 1011 -0.0798100 0.536700                    9 -111.178 244.9 14.93  0.000
## 1882 -0.0776000 0.651700 -0.2739000         9 -111.179 244.9 14.93  0.000
## 1367 -0.1542000          -0.0910400         8 -112.673 244.9 14.93  0.000
## 1628            0.655100 -0.2439000         9 -111.180 244.9 14.93  0.000
## 4029 -0.0004697 0.538500 -0.7173000 -2.497 11 -107.962 244.9 14.94  0.000
## 860  -0.0461700 0.688800                    9 -111.202 244.9 14.98  0.000
## 484   0.0007400                             8 -112.698 244.9 14.98  0.000
## 1883 -0.1050000 0.661500 -0.2500000         9 -111.209 244.9 14.99  0.000
## 832  -0.1459000 0.843100                   10 -109.646 244.9 15.01  0.000
## 1600            0.828000 -0.0217700        10 -109.656 245.0 15.02  0.000
## 1854 -0.1299000 0.820400 -0.0848900        10 -109.660 245.0 15.03  0.000
## 868  -0.1045000 0.784300                    8 -112.726 245.0 15.04  0.000
## 1636            0.762300 -0.1061000         8 -112.726 245.0 15.04  0.000
## 1890 -0.1101000 0.753900 -0.1560000         8 -112.727 245.0 15.04  0.000
## 887  -0.2312000 0.610800                    9 -111.237 245.0 15.04  0.000
## 1909 -0.2273000 0.603200 -0.0216400         9 -111.238 245.0 15.05  0.000
## 2446  0.2332000                     -1.719  8 -112.733 245.0 15.05  0.000
## 648             1.128000                    7 -114.162 245.0 15.06  0.000
## 3493  0.0133300          -0.5263000 -1.883  8 -112.741 245.0 15.07  0.000
## 1655            0.594100  0.0252600         9 -111.259 245.0 15.09  0.000
## 3469  0.0867700          -0.6820000 -1.811  8 -112.756 245.0 15.10  0.000
## 1523 -0.0737200          -0.2673000         9 -111.265 245.0 15.10  0.000
## 3696            0.309400 -0.8330000 -2.698 11 -108.053 245.1 15.12  0.000
## 3632            0.821300 -0.5429000 -2.366 10 -109.708 245.1 15.13  0.000
## 3756            0.828400 -0.5653000 -2.460 10 -109.712 245.1 15.14  0.000
## 1906 -0.0997000 0.631000 -0.0858900         9 -111.288 245.1 15.15  0.000
## 1507 -0.0846700          -0.2946000         8 -112.782 245.1 15.15  0.000
## 1652            0.613500 -0.0886000         9 -111.289 245.1 15.15  0.000
## 884  -0.0759400 0.630900                    9 -111.290 245.1 15.15  0.000
## 3884 -0.0524800 0.822900 -0.5824000 -2.409 10 -109.720 245.1 15.15  0.000
## 3440 -0.0880400          -0.8945000 -2.745 11 -108.092 245.1 15.20  0.000
## 3312                     -0.8760000 -2.772 11 -108.093 245.1 15.21  0.000
## 3948 -0.0727100 0.316500 -0.8973000 -2.772 11 -108.096 245.1 15.21  0.000
## 3820            0.315700 -0.8818000 -2.795 11 -108.097 245.1 15.21  0.000
## 1874 -0.0552200 0.721900 -0.1293000         8 -112.816 245.1 15.22  0.000
## 1620            0.725300 -0.1061000         8 -112.816 245.1 15.22  0.000
## 1852 -0.0997700 0.836600 -0.0980000        10 -109.752 245.1 15.22  0.000
## 1891 -0.1561000 0.772800 -0.1111000         8 -112.818 245.1 15.22  0.000
## 852  -0.0438600 0.741900                    8 -112.819 245.2 15.22  0.000
## 1670            1.090000 -0.0674500         7 -114.245 245.2 15.23  0.000
## 902  -0.0526300 1.100000                    7 -114.246 245.2 15.23  0.000
## 1470 -0.0521800          -0.2073000        10 -109.760 245.2 15.23  0.000
## 1216                     -0.1992000        10 -109.762 245.2 15.24  0.000
## 903  -0.1661000 1.153000                    7 -114.250 245.2 15.24  0.000
## 1671            1.146000  0.0839400         7 -114.258 245.2 15.25  0.000
## 448  -0.0241100                            10 -109.778 245.2 15.27  0.000
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## 688             1.010000                    9 -111.361 245.2 15.29  0.000
## 3564 -0.0514500          -0.9415000 -2.839 11 -108.140 245.2 15.30  0.000
## 1875 -0.0853500 0.730400 -0.1058000         8 -112.859 245.2 15.30  0.000
## 950  -0.0906700 0.796200                    9 -111.372 245.2 15.32  0.000
## 696             0.793900                    9 -111.374 245.2 15.32  0.000
## 2736            0.893600            -2.276 10 -109.805 245.3 15.32  0.000
## 1718            0.788300 -0.0053200         9 -111.376 245.3 15.32  0.000
## 1399 -0.1934000          -0.0742300         9 -111.385 245.3 15.34  0.000
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## 3296                     -0.9546000 -2.881 11 -108.163 245.3 15.35  0.000
## 816  -0.1951000 1.053000                    9 -111.391 245.3 15.35  0.000
## 3804            0.195000 -0.9621000 -2.900 11 -108.169 245.3 15.36  0.000
## 2864 -0.0097090 0.882400            -2.208 10 -109.824 245.3 15.36  0.000
## 3071  0.0010680 0.237000            -2.737 12 -106.439 245.3 15.38  0.000
## 1584            1.037000  0.0049980         9 -111.407 245.3 15.39  0.000
## 3548  0.0452500          -0.9867000 -2.931 11 -108.184 245.3 15.39  0.000
## 664             0.938000                    8 -112.903 245.3 15.39  0.000
## 2988  0.0197800 0.891700            -2.328 10 -109.841 245.3 15.39  0.000
## 3732            0.738900 -0.5305000 -2.453  9 -111.415 245.3 15.40  0.000
## 1710            0.968200 -0.1472000         9 -111.423 245.3 15.42  0.000
## 3320                     -0.7858000 -2.983 11 -108.203 245.4 15.43  0.000
## 1686            0.915000 -0.0575100         8 -112.921 245.4 15.43  0.000
## 942  -0.0998300 0.988800                    9 -111.428 245.4 15.43  0.000
## 918  -0.0280400 0.922300                    8 -112.922 245.4 15.43  0.000
## 3950 -0.0517300 0.258100 -0.9554000 -2.567 11 -108.208 245.4 15.43  0.000
## 3822            0.254100 -0.9480000 -2.569 11 -108.209 245.4 15.44  0.000
## 1925 -0.0933000 1.107000 -0.0635000         7 -114.349 245.4 15.44  0.000
## 1396 -0.0493600          -0.1700000         9 -111.438 245.4 15.45  0.000
## 776  -0.1888000 1.211000                    7 -114.355 245.4 15.45  0.000
## 1544            1.209000  0.1712000         7 -114.358 245.4 15.45  0.000
## 3828            0.155200 -0.8035000 -3.014 11 -108.220 245.4 15.46  0.000
## 1380 -0.0717700          -0.2102000         8 -112.944 245.4 15.47  0.000
## 3572  0.0324900          -0.8233000 -3.039 11 -108.230 245.4 15.48  0.000
## 3704            0.184800 -0.7301000 -3.037 11 -108.231 245.4 15.48  0.000
## 3566 -0.0353800          -0.9900000 -2.610 11 -108.237 245.4 15.49  0.000
## 3806            0.146800 -1.0170000 -2.738 11 -108.238 245.4 15.49  0.000
## 3680            0.241600 -0.8767000 -2.969 11 -108.242 245.4 15.50  0.000
## 3830            0.119500 -0.8321000 -2.875 11 -108.244 245.4 15.51  0.000
## 3550  0.0611900          -1.0280000 -2.770 11 -108.245 245.4 15.51  0.000
## 3448 -0.0095460          -0.7604000 -3.070 11 -108.246 245.4 15.51  0.000
## 4074 -0.0176100 0.255800 -1.0000000 -2.634 11 -108.248 245.4 15.51  0.000
## 2712            0.805200            -2.263  9 -111.473 245.4 15.52  0.000
## 3574  0.0342300          -0.8436000 -2.901 11 -108.250 245.4 15.52  0.000
## 4058  0.0738800 0.140500 -1.0370000 -2.789 11 -108.252 245.5 15.52  0.000
## 1838 -0.1440000 1.009000 -0.1265000         9 -111.478 245.5 15.53  0.000
## 1668            1.131000 -0.0577800         7 -114.395 245.5 15.53  0.000
## 900  -0.0260200 1.139000                    7 -114.396 245.5 15.53  0.000
## 4082  0.0526600 0.114400 -0.8601000 -2.934 11 -108.266 245.5 15.55  0.000
## 1708            1.002000 -0.1294000         9 -111.490 245.5 15.55  0.000
## 3424  0.0006117          -0.9151000 -3.013 11 -108.268 245.5 15.55  0.000
## 3956  0.0115000 0.183200 -0.7758000 -3.114 11 -108.269 245.5 15.56  0.000
## 940  -0.0923600 1.024000                    9 -111.493 245.5 15.56  0.000
## 3740            0.729600 -0.6342000 -2.545 10 -109.926 245.5 15.56  0.000
## 959  -0.1621000 0.832700                   10 -109.929 245.5 15.57  0.000
## 1970 -0.0380600 0.789800 -0.0758800         9 -111.502 245.5 15.57  0.000
## 1716            0.786400 -0.0707300         9 -111.502 245.5 15.58  0.000
## 1907 -0.1400000 0.629600 -0.0827000         9 -111.503 245.5 15.58  0.000
## 3932  0.0171300 0.240300 -0.9231000 -3.044 11 -108.279 245.5 15.58  0.000
## 948  -0.0266900 0.796300                    9 -111.504 245.5 15.58  0.000
## 1799 -0.1932000 1.231000  0.1605000         7 -114.422 245.5 15.58  0.000
## 1727            0.811200 -0.0604100        10 -109.939 245.5 15.59  0.000
## 1981 -0.1509000 0.804200 -0.1276000        10 -109.940 245.5 15.59  0.000
## 3608            0.798200 -0.4258000 -2.536  9 -111.512 245.5 15.59  0.000
## 2964  0.1456000 0.787400            -2.338  9 -111.512 245.5 15.60  0.000
## 1364 -0.0109500          -0.1949000         8 -113.014 245.5 15.61  0.000
## 3958  0.0172800 0.143200 -0.8069000 -2.960 11 -108.303 245.6 15.63  0.000
## 656             1.135000                    8 -113.023 245.6 15.63  0.000
## 1344 -0.0880400          -0.1168000        10 -109.960 245.6 15.63  0.000
## 1962 -0.0751000 0.975500 -0.2242000         9 -111.533 245.6 15.64  0.000
## 1979 -0.1379000 0.816000 -0.1251000        10 -109.963 245.6 15.64  0.000
## 1922  0.0098140 1.095000 -0.1529000         7 -114.452 245.6 15.64  0.000
## 680             1.022000                    8 -113.032 245.6 15.65  0.000
## 1923 -0.0654300 1.147000 -0.0392600         7 -114.460 245.6 15.66  0.000
## 2800            0.440200            -2.495 11 -108.325 245.6 15.67  0.000
## 3860  0.0609500 0.787200 -0.4768000 -2.631  9 -111.557 245.6 15.69  0.000
## 2928 -0.0125000 0.430900            -2.441 11 -108.337 245.6 15.69  0.000
## 1798 -0.0962500 1.170000  0.0129300         7 -114.479 245.6 15.70  0.000
## 1836 -0.1307000 1.053000 -0.0947700         9 -111.563 245.6 15.70  0.000
## 3734            0.694700 -0.6123000 -2.212  9 -111.564 245.6 15.70  0.000
## 1684            0.930000 -0.0928700         8 -113.059 245.6 15.70  0.000
## 916   0.0200800 0.937800                    8 -113.062 245.6 15.71  0.000
## 3616            0.771700 -0.5768000 -2.638 10 -110.001 245.6 15.72  0.000
## 1938  0.0233200 0.913400 -0.1240000         8 -113.067 245.6 15.72  0.000
## 3986  0.1424000 0.678500 -0.6251000 -2.275  9 -111.573 245.6 15.72  0.000
## 3248                     -0.6390000 -2.507 10 -110.005 245.7 15.72  0.000
## 2840  0.0686300 0.839800            -2.418  9 -111.576 245.7 15.72  0.000
## 3664            0.431100 -0.7712000 -2.536 10 -110.008 245.7 15.73  0.000
## 3868  0.0440900 0.765300 -0.5964000 -2.679 10 -110.009 245.7 15.73  0.000
## 3376 -0.0065520          -0.6480000 -2.473 10 -110.010 245.7 15.73  0.000
## 919  -0.1124000 0.968200                    8 -113.074 245.7 15.73  0.000
## 934  -0.1108000 1.006000                    8 -113.077 245.7 15.74  0.000
## 1687            0.961200  0.0366800         8 -113.079 245.7 15.74  0.000
## 3500  0.0096190          -0.6697000 -2.546 10 -110.017 245.7 15.75  0.000
## 1702            0.994800 -0.0220300         8 -113.082 245.7 15.75  0.000
## 943  -0.2162000 1.052000                    9 -111.589 245.7 15.75  0.000
## 3886  0.0145300 0.770600 -0.6920000 -2.160 10 -110.019 245.7 15.75  0.000
## 3758            0.772300 -0.6936000 -2.162 10 -110.019 245.7 15.75  0.000
## 4010  0.0296100 0.767700 -0.7134000 -2.198 10 -110.027 245.7 15.77  0.000
## 911  -0.1537000 1.158000                    8 -113.093 245.7 15.77  0.000
## 824  -0.1642000 0.879000                    9 -111.600 245.7 15.77  0.000
## 3934  0.0383600 0.185900 -0.9790000 -2.860 11 -108.377 245.7 15.77  0.000
## 1592            0.876100  0.1289000         9 -111.605 245.7 15.78  0.000
## 1679            1.142000 -0.0221200         8 -113.102 245.7 15.79  0.000
## 1711            1.032000 -0.0078000         9 -111.609 245.7 15.79  0.000
## 1941 -0.0748000 0.939100 -0.0450500         8 -113.104 245.7 15.79  0.000
## 1846 -0.1269000 0.867900  0.0655800         9 -111.610 245.7 15.79  0.000
## 712             0.712500                    8 -113.106 245.7 15.80  0.000
## 1855 -0.2032000 0.881100 -0.0117900        10 -110.043 245.7 15.80  0.000
## 1734            0.672400 -0.1818000         8 -113.110 245.7 15.80  0.000
## 3224                     -0.5841000 -2.484  9 -111.619 245.7 15.81  0.000
## 3280                     -0.8616000 -2.520 10 -110.048 245.7 15.81  0.000
## 1839 -0.2372000 1.076000  0.0005053         9 -111.622 245.7 15.82  0.000
## 808  -0.2113000 1.081000                    8 -113.117 245.7 15.82  0.000
## 966  -0.1150000 0.699200                    8 -113.117 245.7 15.82  0.000
## 1678            1.083000 -0.1791000         8 -113.126 245.8 15.84  0.000
## 1576            1.076000  0.1504000         8 -113.126 245.8 15.84  0.000
## 3476  0.1388000          -0.6053000 -2.542  9 -111.633 245.8 15.84  0.000
## 3288                     -0.7856000 -2.714 10 -110.063 245.8 15.84  0.000
## 1462 -0.0403800          -0.0792500         9 -111.636 245.8 15.84  0.000
## 2544  0.0197600                     -2.540 11 -108.412 245.8 15.84  0.000
## 1208                     -0.0788800         9 -111.636 245.8 15.84  0.000
## 440  -0.0261500                             9 -111.638 245.8 15.85  0.000
## 2720            0.806900            -2.356 10 -110.070 245.8 15.85  0.000
## 3807            0.219600 -0.8624000 -2.720 11 -108.420 245.8 15.86  0.000
## 3788            0.408700 -0.8785000 -2.559 10 -110.073 245.8 15.86  0.000
## 3052  0.0429800 0.446600            -2.573 11 -108.420 245.8 15.86  0.000
## 910  -0.0341500 1.101000                    8 -113.138 245.8 15.86  0.000
## 3951 -0.1665000 0.342900 -0.7918000 -2.532 11 -108.423 245.8 15.87  0.000
## 2972  0.1391000 0.791000            -2.403 10 -110.078 245.8 15.87  0.000
## 2808            0.275000            -2.741 11 -108.427 245.8 15.87  0.000
## 967  -0.1750000 0.727800                    8 -113.147 245.8 15.88  0.000
## 3408 -0.0635900          -0.8477000 -2.602 10 -110.083 245.8 15.88  0.000
## 3823            0.338900 -0.7594000 -2.574 11 -108.431 245.8 15.88  0.000
## 4059 -0.0287500 0.219400 -0.8987000 -2.759 11 -108.432 245.8 15.88  0.000
## 1735            0.696200 -0.1202000         8 -113.153 245.8 15.89  0.000
## 4019 -0.0637700 0.646400 -0.4290000 -2.465 10 -110.090 245.8 15.89  0.000
## 1989 -0.1707000 0.681300 -0.2003000         8 -113.154 245.8 15.89  0.000
## 3767            0.642700 -0.4123000 -2.458 10 -110.091 245.8 15.89  0.000
## 3551 -0.0344500          -0.9037000 -2.752 11 -108.440 245.8 15.90  0.000
## 2936  0.0606500 0.285600            -2.815 11 -108.448 245.8 15.91  0.000
## 3796            0.264200 -0.8120000 -2.759 10 -110.102 245.8 15.92  0.000
## 784  -0.1718000 1.206000                    8 -113.167 245.8 15.92  0.000
## 3798            0.221800 -0.8285000 -2.572 10 -110.103 245.8 15.92  0.000
## 3791            0.417700 -0.7573000 -2.384 10 -110.105 245.9 15.92  0.000
## 3895 -0.0781500 0.664700 -0.4040000 -2.509 10 -110.105 245.9 15.92  0.000
## 4075 -0.1365000 0.347900 -0.8286000 -2.629 11 -108.453 245.9 15.92  0.000
## 1965 -0.1645000 1.002000 -0.1497000         9 -111.677 245.9 15.93  0.000
## 2552  0.0992700                     -2.781 11 -108.456 245.9 15.93  0.000
## 1552            1.196000  0.0516700         8 -113.177 245.9 15.94  0.000
## 3916 -0.0344200 0.439100 -0.8611000 -2.656 10 -110.116 245.9 15.95  0.000
## 2966  0.1978000 0.743500            -2.039  9 -111.688 245.9 15.95  0.000
## 1742            0.622400 -0.3167000         9 -111.689 245.9 15.95  0.000
## 3919 -0.1286000 0.447500 -0.7539000 -2.443 10 -110.121 245.9 15.96  0.000
## 1676            1.128000 -0.1415000         8 -113.186 245.9 15.96  0.000
## 3542  0.0646300          -0.8497000 -2.617 10 -110.122 245.9 15.96  0.000
## 1963 -0.1610000 1.039000 -0.1084000         9 -111.693 245.9 15.96  0.000
## 3567 -0.1460000          -0.8356000 -2.616 11 -108.472 245.9 15.96  0.000
## 1830 -0.1406000 1.049000  0.0208400         8 -113.190 245.9 15.96  0.000
## 2848  0.0921100 0.828200            -2.476 10 -110.127 245.9 15.97  0.000
## 3540  0.0759900          -0.8425000 -2.801 10 -110.127 245.9 15.97  0.000
## 908  -0.0355900 1.146000                    8 -113.193 245.9 15.97  0.000
## 672             0.944900                    9 -111.700 245.9 15.97  0.000
## 720             0.681300                    9 -111.703 245.9 15.98  0.000
## 3060  0.1253000 0.266800            -2.817 11 -108.482 245.9 15.98  0.000
## 1939 -0.0380100 0.954900 -0.0563600         8 -113.203 245.9 15.99  0.000
## 3994  0.1301000 0.664300 -0.7434000 -2.342 10 -110.140 245.9 15.99  0.000
## 1743            0.647200 -0.2560000         9 -111.712 245.9 16.00  0.000
## 3532  0.0037240          -0.9442000 -2.615 10 -110.142 245.9 16.00  0.000
## 2784            0.340000            -2.583 11 -108.489 245.9 16.00  0.000
## 1997 -0.1749000 0.631400 -0.3392000         9 -111.714 245.9 16.00  0.000
## 2696            1.043000            -1.880  8 -113.210 245.9 16.00  0.000
## 3790            0.342800 -0.9260000 -2.295 10 -110.146 245.9 16.00  0.000
## 3742            0.675100 -0.7594000 -2.324 10 -110.147 245.9 16.01  0.000
## 1933 -0.0903000 1.099000 -0.1778000         8 -113.213 245.9 16.01  0.000
## 3935 -0.0685300 0.264400 -0.8325000 -2.828 11 -108.497 245.9 16.01  0.000
## 3592            1.033000 -0.2978000 -2.060  8 -113.216 245.9 16.02  0.000
## 1694            0.907100 -0.1699000         9 -111.723 245.9 16.02  0.000
## 3484  0.1175000          -0.7113000 -2.633 10 -110.153 245.9 16.02  0.000
## 3624            0.875600 -0.3582000 -2.227  9 -111.725 246.0 16.02  0.000
## 974  -0.1006000 0.662200                    9 -111.725 246.0 16.02  0.000
## 975  -0.1623000 0.695400                    9 -111.726 246.0 16.02  0.000
## 1160                     -0.0690000         7 -114.643 246.0 16.02  0.000
## 2999 -0.0208900 0.693700            -2.350 10 -110.157 246.0 16.03  0.000
## 392  -0.0249500                             7 -114.645 246.0 16.03  0.000
## 3232                     -0.7188000 -2.615 10 -110.158 246.0 16.03  0.000
## 4050  0.0936800 0.214100 -0.8738000 -2.665 10 -110.159 246.0 16.03  0.000
## 2456  0.1806000                     -2.350  9 -111.731 246.0 16.03  0.000
## 2480  0.0673900                     -2.349 10 -110.162 246.0 16.04  0.000
## 1807 -0.1899000 1.216000  0.0385300         8 -113.227 246.0 16.04  0.000
## 926  -0.0092680 0.922300                    9 -111.735 246.0 16.04  0.000
## 4061 -0.0014340 0.167300 -0.9606000 -2.602 11 -108.517 246.0 16.05  0.000
## 3535 -0.0886100          -0.8378000 -2.437 10 -110.173 246.0 16.06  0.000
## 1931 -0.0844800 1.144000 -0.1295000         8 -113.239 246.0 16.06  0.000
## 932  -0.0720500 1.036000                    8 -113.244 246.0 16.07  0.000
## 4043 -0.0640700 0.421900 -0.8458000 -2.474 10 -110.180 246.0 16.07  0.000
## 3478  0.1742000          -0.6695000 -2.328  9 -111.751 246.0 16.07  0.000
## 3062  0.1372000 0.220500            -2.606 11 -108.528 246.0 16.07  0.000
## 1700            1.026000 -0.0346000         8 -113.245 246.0 16.07  0.000
## 3862  0.1030000 0.741500 -0.5523000 -2.367  9 -111.752 246.0 16.07  0.000
## 2824 -0.0222100 1.067000            -1.973  8 -113.247 246.0 16.08  0.000
## 3672            0.326200 -0.6801000 -2.823 10 -110.182 246.0 16.08  0.000
## 1176                     -0.1065000         8 -113.247 246.0 16.08  0.000
## 2528  0.1357000                     -2.633 11 -108.532 246.0 16.08  0.000
## 408   0.0253400                             8 -113.251 246.0 16.09  0.000
## 1460  0.0249700          -0.1534000         9 -111.757 246.0 16.09  0.000
## 1430  0.0254200          -0.1323000         8 -113.252 246.0 16.09  0.000
## 4011 -0.1303000 0.889800 -0.4808000 -2.245 10 -110.190 246.0 16.09  0.000
## 3759            0.882600 -0.4384000 -2.221 10 -110.192 246.0 16.10  0.000
## 935  -0.2196000 1.065000                    8 -113.257 246.0 16.10  0.000
## 3735            0.793500 -0.3950000 -2.217  9 -111.764 246.0 16.10  0.000
## 3036  0.1557000 0.329400            -2.661 11 -108.541 246.0 16.10  0.000
## 3534  0.0043680          -0.9742000 -2.352 10 -110.195 246.0 16.10  0.000
## 1796 -0.0660900 1.229000  0.0487400         7 -114.684 246.0 16.11  0.000
## 3887 -0.1383000 0.881200 -0.4721000 -2.158 10 -110.197 246.0 16.11  0.000
## 1930 -0.0054250 1.088000 -0.2529000         8 -113.264 246.0 16.11  0.000
## 2856 -0.0337300 0.918100            -2.120  9 -111.771 246.0 16.11  0.000
## 2728            0.914300            -2.121  9 -111.772 246.0 16.12  0.000
## 3352  0.0885800          -0.5160000 -2.660  9 -111.772 246.0 16.12  0.000
## 2912  0.0824100 0.362600            -2.703 11 -108.551 246.0 16.12  0.000
## 2990  0.1057000 0.836900            -1.951 10 -110.206 246.1 16.12  0.000
## 3716            0.996600 -0.4228000 -2.072  8 -113.271 246.1 16.13  0.000
## 1703            1.057000  0.1121000         8 -113.271 246.1 16.13  0.000
## 1414  0.0099440          -0.1617000         7 -114.694 246.1 16.13  0.000
## 3656            0.512200 -0.5784000 -2.397  9 -111.778 246.1 16.13  0.000
## 3918 -0.0256000 0.370300 -0.9091000 -2.381 10 -110.208 246.1 16.13  0.000
## 3987  0.0033790 0.786700 -0.4314000 -2.263  9 -111.779 246.1 16.13  0.000
## 951  -0.1667000 0.851100                    9 -111.779 246.1 16.13  0.000
## 1560            1.053000  0.1553000         8 -113.273 246.1 16.13  0.000
## 792  -0.1455000 1.052000                    8 -113.274 246.1 16.13  0.000
## 1478 -0.1132000          -0.2687000         8 -113.275 246.1 16.13  0.000
## 1954 -0.0461000 1.002000 -0.1128000         8 -113.275 246.1 16.13  0.000
## 1200                     -0.1577000         9 -111.783 246.1 16.14  0.000
## 1224                     -0.2284000         8 -113.277 246.1 16.14  0.000
## 3776            0.501600 -0.7213000 -2.976 12 -106.818 246.1 16.14  0.000
## 3904  0.0179700 0.502000 -0.7169000 -2.984 12 -106.818 246.1 16.14  0.000
## 2768            0.527400            -2.241 10 -110.218 246.1 16.15  0.000
## 1973 -0.1417000 0.836200  0.0024400         9 -111.788 246.1 16.15  0.000
## 1719            0.841900  0.0633400         9 -111.789 246.1 16.15  0.000
## 432  -0.0745500                             9 -111.791 246.1 16.15  0.000
## 4028  0.0031830 0.506300 -0.6957000 -2.944 12 -106.826 246.1 16.16  0.000
## 1692            0.927900 -0.1761000         9 -111.793 246.1 16.16  0.000
## 1471 -0.1076000          -0.1670000        10 -110.223 246.1 16.16  0.000
## 3748            0.864400 -0.4381000 -2.305  9 -111.794 246.1 16.16  0.000
## 3416  0.0040480          -0.7304000 -2.881 10 -110.226 246.1 16.16  0.000
## 3876 -0.0263900 0.872800 -0.4357000 -2.334  9 -111.797 246.1 16.17  0.000
## 4042  0.0331800 0.342700 -0.9938000 -2.392 10 -110.227 246.1 16.17  0.000
## 456  -0.0884900                             8 -113.293 246.1 16.17  0.000
## 2896 -0.0042990 0.541900            -2.300 10 -110.234 246.1 16.18  0.000
## 924   0.0103400 0.945400                    9 -111.805 246.1 16.18  0.000
## 3272                     -0.6934000 -2.354  9 -111.805 246.1 16.18  0.000
## 3054  0.0766300 0.375500            -2.252 11 -108.583 246.1 16.19  0.000
## 1844 -0.0721700 0.884800  0.0330100         9 -111.808 246.1 16.19  0.000
## 1946  0.0080800 0.906400 -0.2240000         9 -111.809 246.1 16.19  0.000
## 2776            0.381400            -2.461 10 -110.242 246.1 16.20  0.000
## 4077 -0.1068000 0.282000 -0.9017000 -2.403 11 -108.590 246.1 16.20  0.000
## 4021 -0.0028730 0.594400 -0.5300000 -2.293 10 -110.244 246.1 16.20  0.000
## 1790            0.435200 -0.2409000        11 -108.594 246.1 16.21  0.000
## 1454 -0.0620400          -0.2427000         9 -111.817 246.1 16.21  0.000
## 2967  0.0242100 0.837600            -2.118  9 -111.821 246.1 16.21  0.000
## 1806 -0.0925800 1.155000 -0.1119000         8 -113.317 246.1 16.22  0.000
## 1774            0.573300 -0.2715000        10 -110.253 246.1 16.22  0.000
## 1479 -0.1454000          -0.2353000         8 -113.323 246.2 16.23  0.000
## 3360  0.0932000          -0.6638000 -2.759 10 -110.260 246.2 16.23  0.000
## 1814 -0.0792300 1.025000  0.0511600         8 -113.324 246.2 16.23  0.000
## 1415 -0.0657700          -0.0525100         7 -114.748 246.2 16.23  0.000
## 2991 -0.0929700 0.940800            -2.103 10 -110.262 246.2 16.24  0.000
## 1957 -0.1551000 1.028000 -0.0221600         8 -113.328 246.2 16.24  0.000
## 1022 -0.1255000 0.468700                   11 -108.613 246.2 16.24  0.000
## 1486 -0.1244000          -0.4018000         9 -111.836 246.2 16.24  0.000
## 1831 -0.2334000 1.116000  0.1469000         8 -113.330 246.2 16.24  0.000
## 2948  0.0745100 1.038000            -1.980  8 -113.331 246.2 16.25  0.000
## 1232                     -0.3547000         9 -111.839 246.2 16.25  0.000
## 3511 -0.0152000          -0.4999000 -2.535 10 -110.270 246.2 16.25  0.000
## 3844  0.0082750 1.029000 -0.3924000 -2.200  8 -113.334 246.2 16.25  0.000
## 768             0.450100                   11 -108.617 246.2 16.25  0.000
## 752             0.618900                   10 -110.272 246.2 16.26  0.000
## 4045 -0.0525900 0.354700 -0.8971000 -2.208 10 -110.272 246.2 16.26  0.000
## 1006 -0.1522000 0.612100                   10 -110.274 246.2 16.26  0.000
## 927  -0.0997200 0.972100                    9 -111.848 246.2 16.27  0.000
## 1695            0.955200 -0.0703500         9 -111.850 246.2 16.27  0.000
## 3502  0.0723400          -0.7741000 -2.269 10 -110.281 246.2 16.27  0.000
## 3782            0.415600 -0.7399000 -2.133  9 -111.851 246.2 16.27  0.000
## 2760            0.568500            -2.119  9 -111.852 246.2 16.28  0.000
## 3924  0.0387600 0.325100 -0.7540000 -2.949 10 -110.282 246.2 16.28  0.000
## 840  -0.2120000 0.811900                    8 -113.347 246.2 16.28  0.000
## 1328 -0.1200000          -0.1152000         9 -111.855 246.2 16.28  0.000
## 3870  0.1143000 0.711700 -0.7080000 -2.460 10 -110.284 246.2 16.28  0.000
## 3995 -0.0147900 0.777000 -0.5423000 -2.363 10 -110.285 246.2 16.28  0.000
## 3743            0.776400 -0.5370000 -2.359 10 -110.285 246.2 16.28  0.000
## 3783            0.488000 -0.5729000 -2.198  9 -111.864 246.2 16.30  0.000
## 3863 -0.0424500 0.842500 -0.3521000 -2.348  9 -111.864 246.2 16.30  0.000
## 2980  0.0350600 0.911300            -2.206  9 -111.865 246.2 16.30  0.000
## 1487 -0.1540000          -0.3671000         9 -111.865 246.2 16.30  0.000
## 2520  0.1237000                     -2.514 10 -110.295 246.2 16.30  0.000
## 3926  0.0337100 0.272300 -0.7801000 -2.718 10 -110.299 246.2 16.31  0.000
## 3600            1.011000 -0.4433000 -2.152  9 -111.870 246.2 16.31  0.000
## 1608            0.794000 -0.0009620         8 -113.365 246.2 16.31  0.000
## 1971 -0.1027000 0.840500 -0.0235500         9 -111.872 246.2 16.31  0.000
## 3038  0.1855000 0.270500            -2.408 11 -108.654 246.3 16.33  0.000
## 3400 -0.0595800          -0.6652000 -2.475  9 -111.878 246.3 16.33  0.000
## 3719            1.031000 -0.2696000 -1.848  8 -113.375 246.3 16.33  0.000
## 1280                     -0.3376000        11 -108.658 246.3 16.34  0.000
## 3780            0.479000 -0.7275000 -2.416  9 -111.883 246.3 16.34  0.000
## 464  -0.0839900                             9 -111.884 246.3 16.34  0.000
## 3055 -0.0808900 0.459700            -2.360 11 -108.661 246.3 16.34  0.000
## 1949 -0.0716000 0.929400 -0.1603000         9 -111.884 246.3 16.34  0.000
## 1863 -0.2342000 0.808100 -0.0271800         8 -113.382 246.3 16.35  0.000
## 848  -0.1958000 0.766900                    9 -111.889 246.3 16.35  0.000
## 1862 -0.1814000 0.768700 -0.1079000         8 -113.384 246.3 16.35  0.000
## 3023 -0.0304400 0.533300            -2.175 10 -110.321 246.3 16.35  0.000
## 1534 -0.1467000          -0.3103000        11 -108.668 246.3 16.36  0.000
## 1616            0.733000 -0.1511000         9 -111.896 246.3 16.36  0.000
## 3724            0.987600 -0.5261000 -2.164  9 -111.897 246.3 16.37  0.000
## 2888 -0.0277600 0.596300            -2.219  9 -111.897 246.3 16.37  0.000
## 1902 -0.2221000 0.629000 -0.2542000        10 -110.327 246.3 16.37  0.000
## 1871 -0.2349000 0.747200 -0.1803000         9 -111.898 246.3 16.37  0.000
## 1428  0.0825100          -0.1832000         8 -113.393 246.3 16.37  0.000
## 880  -0.2146000 0.675700                   10 -110.329 246.3 16.37  0.000
## 3486  0.1810000          -0.8138000 -2.439 10 -110.332 246.3 16.38  0.000
## 3799            0.292700 -0.6751000 -2.529 10 -110.332 246.3 16.38  0.000
## 2512  0.0546000                     -2.295 10 -110.333 246.3 16.38  0.000
## 1815 -0.1597000 1.079000  0.1553000         8 -113.397 246.3 16.38  0.000
## 2951 -0.0581000 1.066000            -1.776  8 -113.398 246.3 16.38  0.000
## 1828 -0.1029000 1.094000  0.0332600         8 -113.398 246.3 16.38  0.000
## 3520  0.0628700          -0.7829000 -3.048 12 -106.940 246.3 16.38  0.000
## 1648            0.637900 -0.1715000        10 -110.337 246.3 16.39  0.000
## 1452 -0.0348300          -0.2457000         9 -111.908 246.3 16.39  0.000
## 3911 -0.1343000 0.530400 -0.5562000 -2.293  9 -111.911 246.3 16.39  0.000
## 1804 -0.0843000 1.214000 -0.0580200         8 -113.405 246.3 16.39  0.000
## 2464  0.1962000                     -2.445 10 -110.341 246.3 16.39  0.000
## 3847 -0.1029000 1.064000 -0.2554000 -1.930  8 -113.406 246.3 16.40  0.000
## 1870 -0.1864000 0.708300 -0.2583000         9 -111.915 246.3 16.40  0.000
## 3028  0.1611000 0.373400            -2.562 10 -110.345 246.3 16.40  0.000
## 3871 -0.0328200 0.813100 -0.5066000 -2.460 10 -110.345 246.3 16.40  0.000
## 3526  0.0080620          -0.7966000 -2.202  9 -111.918 246.3 16.41  0.000
## 1336 -0.0816900           0.0315800         9 -111.921 246.3 16.41  0.000
## 1947 -0.0570800 0.952700 -0.1464000         9 -111.922 246.3 16.42  0.000
## 2974  0.2245000 0.737700            -2.105 10 -110.353 246.3 16.42  0.000
## 3852 -0.0088230 1.009000 -0.5102000 -2.244  9 -111.924 246.3 16.42  0.000
## 1788            0.417500 -0.3520000        11 -108.702 246.4 16.42  0.000
## 2904  0.0579400 0.419100            -2.618 10 -110.356 246.4 16.43  0.000
## 2704            1.046000            -1.970  9 -111.928 246.4 16.43  0.000
## 512  -0.0751900                            11 -108.705 246.4 16.43  0.000
## 3030  0.1599000 0.320100            -2.307 10 -110.361 246.4 16.44  0.000
## 3543 -0.0303200          -0.7271000 -2.571 10 -110.366 246.4 16.45  0.000
## 3020  0.0898100 0.534200            -2.341 10 -110.368 246.4 16.45  0.000
## 2042 -0.1143000 0.454600 -0.3203000        11 -108.715 246.4 16.45  0.000
## 2832 -0.0003853 1.059000            -2.025  9 -111.941 246.4 16.45  0.000
## 1955 -0.1259000 1.060000 -0.0083360         8 -113.435 246.4 16.45  0.000
## 3039  0.0474500 0.346900            -2.483 11 -108.718 246.4 16.45  0.000
## 1740            0.662500 -0.3790000         9 -111.943 246.4 16.46  0.000
## 1431 -0.0304500          -0.0755200         8 -113.438 246.4 16.46  0.000
## 1994 -0.0737300 0.652300 -0.4208000         9 -111.945 246.4 16.46  0.000
## 1518 -0.1724000          -0.3600000        10 -110.378 246.4 16.47  0.000
## 424  -0.0756000                             8 -113.444 246.4 16.47  0.000
## 3989  0.0548500 0.735800 -0.5210000 -2.029  9 -111.951 246.4 16.47  0.000
## 1192                     -0.0408200         8 -113.446 246.4 16.47  0.000
## 4051 -0.0072790 0.289200 -0.7389000 -2.608 10 -110.382 246.4 16.48  0.000
## 3527 -0.0841300          -0.6627000 -2.260  9 -111.953 246.4 16.48  0.000
## 1412  0.0554500          -0.1742000         7 -114.870 246.4 16.48  0.000
## 3910 -0.0293200 0.453100 -0.7137000 -2.247  9 -111.954 246.4 16.48  0.000
## 1732            0.715600 -0.2625000         8 -113.448 246.4 16.48  0.000
## 3971 -0.0329900 1.024000 -0.3600000 -1.947  8 -113.449 246.4 16.48  0.000
## 1986 -0.0496000 0.707500 -0.2931000         8 -113.449 246.4 16.48  0.000
## 1995 -0.1011000 0.670100 -0.3841000         9 -111.956 246.4 16.48  0.000
## 4030  0.0869100 0.444700 -0.8279000 -2.821 12 -106.993 246.4 16.49  0.000
## 2029 -0.2343000 0.587300 -0.2984000        10 -110.390 246.4 16.49  0.000
## 1264                     -0.3223000        10 -110.391 246.4 16.49  0.000
## 1847 -0.2004000 0.928800  0.1392000         9 -111.963 246.4 16.50  0.000
## 3718            0.946200 -0.4972000 -1.707  8 -113.458 246.4 16.50  0.000
## 2975  0.0443800 0.835200            -2.223 10 -110.394 246.4 16.50  0.000
## 3524  0.0343800          -0.7986000 -2.482  9 -111.970 246.4 16.51  0.000
## 3908 -0.0127200 0.523200 -0.6925000 -2.562  9 -111.975 246.4 16.52  0.000
## 1007 -0.2189000 0.640500                   10 -110.405 246.5 16.52  0.000
## 4053 -0.0073220 0.245300 -0.7661000 -2.422 10 -110.406 246.5 16.52  0.000
## 1775            0.592000 -0.2215000        10 -110.407 246.5 16.53  0.000
## 2504  0.0426800                     -2.176  9 -111.978 246.5 16.53  0.000
## 1446 -0.0503000          -0.1169000         8 -113.472 246.5 16.53  0.000
## 964  -0.0198700 0.752600                    8 -113.473 246.5 16.53  0.000
## 1020 -0.0406900 0.468800                   11 -108.755 246.5 16.53  0.000
## 3750            0.816700 -0.5157000 -1.982  9 -111.979 246.5 16.53  0.000
## 3015 -0.0518900 0.577300            -2.041  9 -111.979 246.5 16.53  0.000
## 1750            0.557200 -0.1606000         9 -111.980 246.5 16.53  0.000
## 1987 -0.0787000 0.721800 -0.2598000         8 -113.475 246.5 16.53  0.000
## 982  -0.0859300 0.579700                    9 -111.987 246.5 16.55  0.000
## 1288 -0.0754700           0.0432100         7 -114.906 246.5 16.55  0.000
## 728             0.573500                    9 -111.990 246.5 16.55  0.000
## 3878  0.0083960 0.826900 -0.5038000 -2.029  9 -111.992 246.5 16.56  0.000
## 496  -0.1286000                            10 -110.425 246.5 16.56  0.000
## 972  -0.0295900 0.716400                    9 -111.997 246.5 16.56  0.000
## 2956  0.0680100 1.041000            -2.046  9 -111.998 246.5 16.57  0.000
## 4037 -0.0577800 0.429500 -0.7056000 -2.035  9 -111.999 246.5 16.57  0.000
## 1918 -0.1980000 0.511700 -0.1977000        11 -108.776 246.5 16.57  0.000
## 1532 -0.0631600          -0.4195000        11 -108.777 246.5 16.57  0.000
## 4034  0.0529400 0.416800 -0.8296000 -2.267  9 -112.001 246.5 16.57  0.000
## 4035 -0.0426200 0.492000 -0.6858000 -2.323  9 -112.005 246.5 16.58  0.000
## 800  -0.1278000 1.046000                    9 -112.006 246.5 16.58  0.000
## 3008  0.0971700 0.580900            -2.785 12 -107.040 246.5 16.58  0.000
## 1568            1.038000  0.0342800         9 -112.012 246.5 16.60  0.000
## 1664            0.495000 -0.1741000        11 -108.793 246.5 16.60  0.000
## 896  -0.1665000 0.529400                   11 -108.793 246.5 16.60  0.000
## 3479  0.0467000          -0.4938000 -2.309  9 -112.020 246.5 16.61  0.000
## 1903 -0.2749000 0.657600 -0.1966000        10 -110.452 246.5 16.62  0.000
## 3927 -0.0754700 0.351800 -0.6305000 -2.669 10 -110.456 246.6 16.63  0.000
## 2026 -0.1290000 0.602500 -0.3745000        10 -110.459 246.6 16.63  0.000
## 1168                     -0.1709000         8 -113.524 246.6 16.63  0.000
## 4002  0.0538200 0.807000 -0.5693000 -2.072  9 -112.031 246.6 16.63  0.000
## 1772            0.600100 -0.3405000        10 -110.465 246.6 16.64  0.000
## 3240                     -0.4760000 -2.309  9 -112.037 246.6 16.65  0.000
## 3970  0.1030000 0.932700 -0.5576000 -1.819  8 -113.531 246.6 16.65  0.000
## 3727            1.017000 -0.4075000 -1.982  9 -112.037 246.6 16.65  0.000
## 400  -0.0161400                             8 -113.535 246.6 16.65  0.000
## 3368 -0.0052060          -0.4682000 -2.340  9 -112.041 246.6 16.65  0.000
## 1455 -0.1399000          -0.1421000         9 -112.043 246.6 16.66  0.000
## 2950  0.1172000 0.987800            -1.565  8 -113.539 246.6 16.66  0.000
## 3022  0.1069000 0.458100            -1.991 10 -110.474 246.6 16.66  0.000
## 1812 -0.0349900 1.064000  0.0503800         8 -113.541 246.6 16.67  0.000
## 3855 -0.0947000 1.039000 -0.4044000 -2.030  9 -112.047 246.6 16.67  0.000
## 3014  0.0818400 0.506600            -1.893  9 -112.050 246.6 16.67  0.000
## 1184                     -0.2088000         9 -112.054 246.6 16.68  0.000
## 1392 -0.2023000          -0.2796000        10 -110.488 246.6 16.69  0.000
## 3846  0.0412300 0.978700 -0.4603000 -1.828  8 -113.553 246.6 16.69  0.000
## 1438  0.0251300          -0.2444000         9 -112.064 246.6 16.70  0.000
## 3979 -0.0512100 1.016000 -0.4701000 -2.045  9 -112.067 246.6 16.71  0.000
## 416   0.0342700                             9 -112.070 246.6 16.71  0.000
## 3012  0.0947800 0.579800            -2.240  9 -112.071 246.6 16.71  0.000
## 1758            0.507900 -0.2951000        10 -110.501 246.6 16.71  0.000
## 3208                     -0.4608000 -2.064  8 -113.566 246.6 16.72  0.000
## 3688            0.421000 -0.6055000 -2.515 10 -110.503 246.6 16.72  0.000
## 1822 -0.0752900 1.008000 -0.0748100         9 -112.073 246.6 16.72  0.000
## 3031  0.0253500 0.392400            -2.346 10 -110.503 246.6 16.72  0.000
## 1463 -0.0935100          -0.0437400         9 -112.075 246.6 16.72  0.000
## 2982  0.0813100 0.864000            -1.827  9 -112.075 246.6 16.72  0.000
## 1004 -0.0825600 0.653600                   10 -110.509 246.7 16.73  0.000
## 1320 -0.1129000           0.0289500         8 -113.578 246.7 16.74  0.000
## 2005 -0.1467000 0.568000 -0.1707000         9 -112.085 246.7 16.74  0.000
## 3997  0.0661200 0.713100 -0.6718000 -2.152 10 -110.521 246.7 16.76  0.000
## 1352 -0.1648000          -0.1196000         8 -113.587 246.7 16.76  0.000
## 1751            0.557100 -0.1491000         9 -112.094 246.7 16.76  0.000
## 1360 -0.1737000          -0.2657000         9 -112.094 246.7 16.76  0.000
## 1240                     -0.2463000         9 -112.095 246.7 16.76  0.000
## 1422  0.0095720          -0.2731000         8 -113.589 246.7 16.76  0.000
## 983  -0.1245000 0.588200                    9 -112.096 246.7 16.76  0.000
## 2959 -0.0390600 1.067000            -1.876  9 -112.096 246.7 16.76  0.000
## 4013 -0.0491400 0.825100 -0.6138000 -1.951 10 -110.528 246.7 16.77  0.000
## 1494 -0.0853600          -0.2304000         9 -112.098 246.7 16.77  0.000
## 3492  0.0456000          -0.5405000 -2.395  9 -112.099 246.7 16.77  0.000
## 3503 -0.0741700          -0.5623000 -2.307 10 -110.530 246.7 16.77  0.000
## 1519 -0.2111000          -0.3334000        10 -110.531 246.7 16.78  0.000
## 3831            0.207400 -0.6618000 -2.717 11 -108.881 246.7 16.78  0.000
## 990  -0.0717300 0.543200                   10 -110.536 246.7 16.78  0.000
## 2045 -0.2136000 0.455000 -0.2607000        11 -108.883 246.7 16.78  0.000
## 736             0.543300                   10 -110.537 246.7 16.79  0.000
## 1484 -0.0388800          -0.4766000         9 -112.111 246.7 16.79  0.000
## 1408 -0.1620000          -0.2585000        11 -108.889 246.7 16.80  0.000
## 3487  0.0495800          -0.6337000 -2.450 10 -110.544 246.7 16.80  0.000
## 1423 -0.0676700          -0.1585000         8 -113.611 246.7 16.81  0.000
## 472  -0.0366800                             9 -112.118 246.7 16.81  0.000
## 4083 -0.0679200 0.209700 -0.7061000 -2.760 11 -108.894 246.7 16.81  0.000
## 2472  0.0569000                     -2.194  9 -112.118 246.7 16.81  0.000
## 1823 -0.1558000 1.062000  0.0317000         9 -112.120 246.7 16.81  0.000
## 3575 -0.0772100          -0.7066000 -2.745 11 -108.897 246.7 16.81  0.000
## 1791            0.428300 -0.2501000        11 -108.899 246.7 16.82  0.000
## 4092 -0.0158400 0.054220 -0.9818000 -3.228 13 -105.320 246.8 16.82  0.000
## 3840            0.053070 -0.9781000 -3.226 13 -105.320 246.8 16.82  0.000
## 3584 -0.0127900          -0.9888000 -3.234 13 -105.322 246.8 16.83  0.000
## 3968 -0.0204700 0.061230 -0.9736000 -3.246 13 -105.323 246.8 16.83  0.000
## 3959 -0.1049000 0.239100 -0.6495000 -2.784 11 -108.908 246.8 16.83  0.000
## 3304                     -0.6826000 -2.539 10 -110.565 246.8 16.84  0.000
## 1023 -0.1682000 0.476600                   11 -108.913 246.8 16.84  0.000
## 3336  0.0276300          -0.4210000 -2.189  8 -113.633 246.8 16.85  0.000
## 1476 -0.0077690          -0.3611000         8 -113.634 246.8 16.85  0.000
## 2440  0.0979600                     -1.957  8 -113.635 246.8 16.85  0.000
## 3432 -0.0795200          -0.6815000 -2.579 10 -110.572 246.8 16.86  0.000
## 1436  0.0602300          -0.2699000         9 -112.143 246.8 16.86  0.000
## 2027 -0.1704000 0.615900 -0.3414000        10 -110.578 246.8 16.87  0.000
## 2013 -0.1508000 0.518000 -0.3096000        10 -110.580 246.8 16.87  0.000
## 3460  0.1002000          -0.5333000 -2.169  8 -113.652 246.8 16.89  0.000
## 1759            0.508200 -0.2848000        10 -110.590 246.8 16.89  0.000
## 1444  0.0018330          -0.1470000         8 -113.654 246.8 16.89  0.000
## 4085 -0.0531200 0.168500 -0.7486000 -2.621 11 -108.940 246.8 16.90  0.000
## 3879 -0.1405000 0.934900 -0.2894000 -2.021  9 -112.165 246.8 16.90  0.000
## 1900 -0.1562000 0.677600 -0.2866000        10 -110.596 246.8 16.90  0.000
## 3973  0.0053960 0.971000 -0.4374000 -1.583  8 -113.666 246.8 16.92  0.000
## 3751            0.922300 -0.2725000 -2.022  9 -112.173 246.8 16.92  0.000
## 1248                     -0.3718000        10 -110.604 246.8 16.92  0.000
## 1502 -0.0966900          -0.3631000        10 -110.604 246.8 16.92  0.000
## 998  -0.1591000 0.662800                    9 -112.178 246.9 16.93  0.000
## 1516 -0.0919200          -0.4380000        10 -110.609 246.9 16.93  0.000
## 744             0.665200                    9 -112.182 246.9 16.93  0.000
## 1766            0.638300 -0.1280000         9 -112.182 246.9 16.94  0.000
## 991  -0.1119000 0.556100                   10 -110.616 246.9 16.94  0.000
## 1820 -0.0531200 1.048000 -0.0568500         9 -112.188 246.9 16.95  0.000
## 1420  0.0331600          -0.2614000         8 -113.682 246.9 16.95  0.000
## 1535 -0.1737000          -0.3345000        11 -108.965 246.9 16.95  0.000
## 1916 -0.1240000 0.522500 -0.2655000        11 -108.968 246.9 16.96  0.000
## 3814            0.352900 -0.7323000 -2.336 10 -110.622 246.9 16.96  0.000
## 3812            0.411600 -0.7105000 -2.592 10 -110.623 246.9 16.96  0.000
## 2983 -0.1057000 0.962800            -1.946  9 -112.195 246.9 16.96  0.000
## 4094  0.0237300 0.008091 -1.0550000 -3.136 13 -105.392 246.9 16.97  0.000
## 3726            0.930300 -0.6399000 -1.811  9 -112.199 246.9 16.97  0.000
## 2043 -0.1478000 0.442500 -0.3366000        11 -108.978 246.9 16.97  0.000
## 1447 -0.1254000          -0.0220200         8 -113.699 246.9 16.98  0.000
## 3940 -0.0423700 0.430000 -0.7028000 -2.649 10 -110.637 246.9 16.99  0.000
## 1495 -0.1064000          -0.2400000         9 -112.208 246.9 16.99  0.000
## 2792            0.502500            -2.311 10 -110.639 246.9 16.99  0.000
## 2920 -0.0376200 0.510300            -2.327 10 -110.640 246.9 16.99  0.000
## 3942 -0.0516200 0.370100 -0.7271000 -2.385 10 -110.641 246.9 16.99  0.000
## 1304 -0.0438400           0.0471700         8 -113.705 246.9 16.99  0.000
## 4003 -0.0955600 0.921600 -0.3515000 -2.097  9 -112.214 246.9 17.00  0.000
## 1439 -0.0321600          -0.1823000         9 -112.222 246.9 17.02  0.000
## 3978  0.0906900 0.919700 -0.6748000 -1.883  9 -112.227 247.0 17.03  0.000
## 1748            0.561400 -0.2782000         9 -112.228 247.0 17.03  0.000
## 480  -0.0326000                            10 -110.658 247.0 17.03  0.000
## 2002 -0.0307400 0.581600 -0.2513000         9 -112.234 247.0 17.04  0.000
## 3558 -0.0240600          -0.7854000 -2.394 10 -110.672 247.0 17.06  0.000
## 1296 -0.0760700          -0.0757900         8 -113.739 247.0 17.06  0.000
## 1756            0.510800 -0.3933000        10 -110.679 247.0 17.07  0.000
## 3494  0.0743800          -0.5999000 -2.093  9 -112.249 247.0 17.07  0.000
## 2010 -0.0548600 0.528300 -0.3784000        10 -110.681 247.0 17.07  0.000
## 1868 -0.1165000 0.779600 -0.2767000         9 -112.253 247.0 17.08  0.000
## 3216                     -0.5924000 -2.189  9 -112.256 247.0 17.08  0.000
## 980   0.0229700 0.596500                    9 -112.257 247.0 17.09  0.000
## 1503 -0.1152000          -0.3714000        10 -110.688 247.0 17.09  0.000
## 3854  0.0510800 0.954000 -0.6104000 -1.908  9 -112.259 247.0 17.09  0.000
## 3556 -0.0071560          -0.7774000 -2.649 10 -110.691 247.0 17.09  0.000
## 1014 -0.1330000 0.522800                   10 -110.700 247.0 17.11  0.000
## 760             0.499800                   10 -110.703 247.0 17.12  0.000
## 1782            0.503400 -0.0959700        10 -110.704 247.0 17.12  0.000
## 1919 -0.2395000 0.520000 -0.1878000        11 -109.053 247.1 17.12  0.000
## 3063 -0.0160700 0.309000            -2.534 11 -109.055 247.1 17.13  0.000
## 3344  0.0312200          -0.5643000 -2.278  9 -112.291 247.1 17.15  0.000
## 3463 -0.0051590          -0.4017000 -1.943  8 -113.785 247.1 17.15  0.000
## 3468  0.0787800          -0.6392000 -2.260  9 -112.294 247.1 17.16  0.000
## 3462  0.1248000          -0.5885000 -1.831  8 -113.798 247.1 17.18  0.000
## 872  -0.2297000 0.741100                    9 -112.305 247.1 17.18  0.000
## 4066  0.0136800 0.355100 -0.8132000 -2.449 10 -110.735 247.1 17.18  0.000
## 988   0.0127900 0.562800                   10 -110.740 247.1 17.19  0.000
## 2003 -0.0518400 0.570200 -0.2605000         9 -112.313 247.1 17.20  0.000
## 2536  0.0123300                     -2.361 10 -110.743 247.1 17.20  0.000
## 2011 -0.0743200 0.520200 -0.3839000        10 -110.743 247.1 17.20  0.000
## 999  -0.2222000 0.687400                    9 -112.322 247.1 17.21  0.000
## 1894 -0.2106000 0.709800 -0.0858600         9 -112.323 247.1 17.22  0.000
## 1640            0.721900  0.0002468         9 -112.327 247.2 17.22  0.000
## 2021 -0.2182000 0.651800 -0.1506000         9 -112.327 247.2 17.23  0.000
## 1510 -0.1513000          -0.2178000         9 -112.331 247.2 17.23  0.000
## 1767            0.657500 -0.0760900         9 -112.340 247.2 17.25  0.000
## 1860 -0.0928400 0.848800 -0.1345000         8 -113.834 247.2 17.25  0.000
## 2958  0.1427000 0.984700            -1.625  9 -112.340 247.2 17.25  0.000
## 1256                     -0.1861000         9 -112.341 247.2 17.25  0.000
## 488  -0.1257000                             9 -112.347 247.2 17.27  0.000
## 1492  0.0234200          -0.3505000         9 -112.347 247.2 17.27  0.000
## 1500 -0.0077590          -0.4647000        10 -110.784 247.2 17.28  0.000
## 1272                     -0.1997000        10 -110.789 247.2 17.29  0.000
## 1526 -0.1257000          -0.1672000        10 -110.801 247.2 17.32  0.000
## 504  -0.0730500                            10 -110.803 247.2 17.32  0.000
## 2448  0.1129000                     -2.049  9 -112.377 247.3 17.32  0.000
## 3044  0.0567300 0.513500            -2.418 10 -110.814 247.3 17.34  0.000
## 3981  0.0156100 0.952700 -0.5836000 -1.697  9 -112.392 247.3 17.36  0.000
## 3046  0.0533200 0.445300            -2.095 10 -110.827 247.3 17.37  0.000
## 856  -0.1702000 0.701900                    9 -112.410 247.3 17.39  0.000
## 3943 -0.1661000 0.454600 -0.5640000 -2.349 10 -110.841 247.3 17.39  0.000
## 1878 -0.1572000 0.679700 -0.0608400         9 -112.418 247.3 17.41  0.000
## 3815            0.433700 -0.5514000 -2.327 10 -110.848 247.3 17.41  0.000
## 1624            0.687200 -0.0003344         9 -112.422 247.3 17.42  0.000
## 4005 -0.0497500 0.868900 -0.4375000 -1.773  9 -112.439 247.4 17.45  0.000
## 1895 -0.2671000 0.741400 -0.0223900         9 -112.446 247.4 17.46  0.000
## 1312 -0.0441200          -0.0730300         9 -112.453 247.4 17.48  0.000
## 1886 -0.1622000 0.618900 -0.2115000        10 -110.884 247.4 17.48  0.000
## 864  -0.1538000 0.656400                   10 -110.887 247.4 17.49  0.000
## 3471 -0.0029920          -0.5380000 -2.077  9 -112.459 247.4 17.49  0.000
## 1632            0.625800 -0.1507000        10 -110.889 247.4 17.49  0.000
## 1780            0.489900 -0.2275000        10 -110.898 247.4 17.51  0.000
## 2034 -0.0773300 0.527000 -0.1849000        10 -110.915 247.5 17.54  0.000
## 3559 -0.1297000          -0.6390000 -2.381 10 -110.915 247.5 17.54  0.000
## 1879 -0.2001000 0.701300 -0.0173200         9 -112.486 247.5 17.54  0.000
## 3768            0.554700 -0.5409000 -2.747 11 -109.263 247.5 17.55  0.000
## 1012 -0.0206100 0.522200                   10 -110.918 247.5 17.55  0.000
## 1511 -0.1904000          -0.1923000         9 -112.489 247.5 17.55  0.000
## 2018 -0.0921700 0.673200 -0.2395000         9 -112.490 247.5 17.55  0.000
## 4020  0.0358500 0.547500 -0.5575000 -2.776 11 -109.269 247.5 17.56  0.000
## 1764            0.670600 -0.2169000         9 -112.493 247.5 17.56  0.000
## 1887 -0.2005000 0.639400 -0.1711000        10 -110.932 247.5 17.58  0.000
## 996  -0.0623000 0.705300                    9 -112.509 247.5 17.59  0.000
## 3896  0.0110400 0.572300 -0.5170000 -2.813 11 -109.287 247.5 17.59  0.000
## 4067 -0.0986300 0.440500 -0.6525000 -2.430 10 -110.941 247.5 17.59  0.000
## 1384 -0.1877000          -0.1134000         9 -112.513 247.5 17.60  0.000
## 3495 -0.0643300          -0.3989000 -2.110  9 -112.515 247.5 17.60  0.000
## 3047 -0.0953200 0.523700            -2.173 10 -110.956 247.6 17.62  0.000
## 1910 -0.1869000 0.597200 -0.0277500        10 -110.971 247.6 17.65  0.000
## 888  -0.1833000 0.600300                   10 -110.971 247.6 17.65  0.000
## 4069 -0.1020000 0.380700 -0.6848000 -2.170 10 -110.972 247.6 17.66  0.000
## 3470  0.1308000          -0.7291000 -1.934  9 -112.544 247.6 17.66  0.000
## 3072  0.0900400 0.195900            -2.949 13 -105.747 247.6 17.68  0.000
## 1656            0.584700  0.0011800        10 -110.986 247.6 17.68  0.000
## 2037 -0.1977000 0.523000 -0.1116000        10 -110.991 247.6 17.70  0.000
## 1524 -0.0189800          -0.2965000        10 -110.994 247.6 17.70  0.000
## 1015 -0.1725000 0.527300                   10 -110.996 247.6 17.70  0.000
## 1783            0.498100 -0.1021000        10 -111.004 247.6 17.72  0.000
## 1368 -0.1279000          -0.1003000         9 -112.596 247.7 17.76  0.000
## 3000  0.0807000 0.612800            -2.608 11 -109.377 247.7 17.77  0.000
## 2019 -0.1323000 0.683900 -0.2106000         9 -112.607 247.7 17.79  0.000
## 1376 -0.1368000          -0.2464000        10 -111.040 247.7 17.79  0.000
## 4022  0.0829800 0.502600 -0.6374000 -2.610 11 -109.392 247.7 17.80  0.000
## 3512  0.0704000          -0.6080000 -2.826 11 -109.399 247.7 17.82  0.000
## 904  -0.1333000 1.140000                    8 -114.155 247.8 17.89  0.000
## 1508 -0.0477700          -0.3155000         9 -112.662 247.8 17.89  0.000
## 1527 -0.1535000          -0.1917000        10 -111.093 247.8 17.90  0.000
## 1672            1.134000  0.0574800         8 -114.161 247.8 17.90  0.000
## 1400 -0.1482000          -0.0899000        10 -111.114 247.9 17.94  0.000
## 1892 -0.1235000 0.771000 -0.1263000         9 -112.720 247.9 18.01  0.000
## 4031 -0.0735900 0.597600 -0.5992000 -2.677 12 -107.756 247.9 18.02  0.000
## 1982 -0.1038000 0.763100 -0.1512000        11 -109.498 247.9 18.02  0.000
## 1728            0.764800 -0.1124000        11 -109.500 247.9 18.02  0.000
## 960  -0.0996000 0.786300                   11 -109.501 247.9 18.02  0.000
## 2035 -0.1097000 0.512400 -0.2050000        10 -111.162 248.0 18.04  0.000
## 1884 -0.0850600 0.661300 -0.2579000        10 -111.177 248.0 18.07  0.000
## 1926 -0.0656900 1.095000 -0.0788400         8 -114.244 248.0 18.07  0.000
## 1927 -0.1581000 1.159000  0.0613500         8 -114.249 248.0 18.08  0.000
## 1980 -0.0724400 0.764500 -0.1788000        11 -109.557 248.1 18.13  0.000
## 1911 -0.2327000 0.609800 -0.0104300        10 -111.237 248.1 18.19  0.000
## 1876 -0.0613600 0.729800 -0.1161000         9 -112.815 248.1 18.20  0.000
## 1800 -0.1685000 1.222000  0.1462000         8 -114.347 248.2 18.28  0.000
## 1908 -0.0915400 0.620000 -0.1036000        10 -111.285 248.2 18.28  0.000
## 1856 -0.1520000 0.839500 -0.0443500        11 -109.646 248.2 18.31  0.000
## 4095 -0.1006000 0.110200 -0.8929000 -2.979 13 -106.093 248.3 18.37  0.000
## 1924 -0.0351500 1.134000 -0.0632800         8 -114.395 248.3 18.37  0.000
## 920  -0.0670900 0.944600                    9 -112.901 248.3 18.37  0.000
## 1688            0.938000  0.0001780         9 -112.903 248.3 18.38  0.000
## 944  -0.1702000 1.026000                   10 -111.349 248.3 18.41  0.000
## 3760            0.832600 -0.5290000 -2.417 11 -109.696 248.3 18.41  0.000
## 1942 -0.0386800 0.917700 -0.0642100         9 -112.921 248.3 18.41  0.000
## 3888 -0.0734200 0.827100 -0.5525000 -2.361 11 -109.706 248.4 18.43  0.000
## 1712            1.005000 -0.0458600        10 -111.360 248.4 18.43  0.000
## 4012 -0.0568700 0.833000 -0.5739000 -2.458 11 -109.711 248.4 18.44  0.000
## 952  -0.1033000 0.803900                   10 -111.370 248.4 18.45  0.000
## 1974 -0.0942400 0.794700 -0.0215900        10 -111.372 248.4 18.46  0.000
## 1720            0.795100  0.0107100        10 -111.374 248.4 18.46  0.000
## 3736            0.746900 -0.4817000 -2.393 10 -111.388 248.4 18.49  0.000
## 1840 -0.1985000 1.051000 -0.0245400        10 -111.391 248.4 18.49  0.000
## 3988  0.0773300 0.732300 -0.5190000 -2.456 10 -111.413 248.5 18.54  0.000
## 1472 -0.0523500          -0.2070000        11 -109.760 248.5 18.54  0.000
## 1966 -0.1277000 0.976700 -0.1693000        10 -111.417 248.5 18.55  0.000
## 3952 -0.1104000 0.317600 -0.8479000 -2.691 12 -108.047 248.5 18.60  0.000
## 3824            0.316900 -0.8244000 -2.727 12 -108.049 248.5 18.60  0.000
## 912  -0.1250000 1.147000                    9 -113.017 248.5 18.61  0.000
## 936  -0.1724000 1.038000                    9 -113.020 248.5 18.61  0.000
## 1680            1.130000 -0.0446400         9 -113.022 248.5 18.62  0.000
## 2992 -0.0206700 0.895600            -2.274 11 -109.805 248.6 18.63  0.000
## 1704            1.029000  0.0730300         9 -113.030 248.6 18.63  0.000
## 2968  0.0977200 0.795000            -2.273 10 -111.469 248.6 18.65  0.000
## 1964 -0.1136000 1.011000 -0.1473000        10 -111.485 248.6 18.68  0.000
## 3568 -0.0909100          -0.8890000 -2.768 12 -108.089 248.6 18.68  0.000
## 1940  0.0068670 0.929400 -0.0918000         9 -113.059 248.6 18.69  0.000
## 4076 -0.0745700 0.321500 -0.8932000 -2.793 12 -108.094 248.6 18.69  0.000
## 1972 -0.0377000 0.789400 -0.0766100        10 -111.502 248.6 18.72  0.000
## 1943 -0.1097000 0.970100  0.0210900         9 -113.074 248.6 18.72  0.000
## 1958 -0.1178000 1.003000 -0.0423600         9 -113.077 248.7 18.72  0.000
## 3864  0.0205000 0.796500 -0.4231000 -2.537 10 -111.511 248.7 18.74  0.000
## 1935 -0.1596000 1.154000 -0.0449400         9 -113.092 248.7 18.76  0.000
## 968  -0.1515000 0.726400                    9 -113.097 248.7 18.77  0.000
## 1736            0.695000 -0.1358000         9 -113.099 248.7 18.77  0.000
## 1990 -0.1500000 0.680800 -0.2083000         9 -113.101 248.7 18.77  0.000
## 1832 -0.1944000 1.091000  0.1215000         9 -113.112 248.7 18.79  0.000
## 3808            0.197800 -0.9216000 -2.850 12 -108.146 248.7 18.80  0.000
## 1934 -0.0655900 1.088000 -0.1905000         9 -113.124 248.7 18.82  0.000
## 3990  0.1197000 0.685100 -0.5946000 -2.224 10 -111.558 248.8 18.83  0.000
## 3552  0.0186400          -0.9520000 -2.882 12 -108.163 248.8 18.83  0.000
## 4060  0.0308300 0.192400 -0.9574000 -2.901 12 -108.168 248.8 18.84  0.000
## 1991 -0.1945000 0.710400 -0.1485000         9 -113.139 248.8 18.85  0.000
## 3744            0.732200 -0.6180000 -2.526 11 -109.923 248.8 18.86  0.000
## 3996  0.0566300 0.724700 -0.6258000 -2.548 11 -109.925 248.8 18.87  0.000
## 1416 -0.0351300          -0.0742300         8 -114.643 248.8 18.87  0.000
## 1983 -0.1732000 0.825000 -0.0850200        11 -109.926 248.8 18.87  0.000
## 3832            0.158700 -0.7597000 -2.958 12 -108.192 248.8 18.89  0.000
## 1967 -0.2214000 1.049000 -0.0394000        10 -111.589 248.8 18.89  0.000
## 1808 -0.1681000 1.208000  0.0267100         9 -113.166 248.8 18.90  0.000
## 1848 -0.1494000 0.887300  0.1068000        10 -111.596 248.8 18.90  0.000
## 3576  0.0023690          -0.7854000 -2.983 12 -108.203 248.8 18.91  0.000
## 3720            1.005000 -0.3299000 -1.966  9 -113.173 248.8 18.92  0.000
## 4078 -0.0515000 0.257500 -0.9559000 -2.564 12 -108.208 248.8 18.92  0.000
## 3480  0.1121000          -0.5688000 -2.491 10 -111.613 248.9 18.94  0.000
## 1932 -0.0573400 1.133000 -0.1505000         9 -113.184 248.9 18.94  0.000
## 4084  0.0210800 0.153500 -0.8003000 -3.015 12 -108.220 248.9 18.94  0.000
## 3960 -0.0233100 0.186600 -0.7331000 -3.035 12 -108.231 248.9 18.97  0.000
## 4062  0.0517600 0.143200 -1.0090000 -2.743 12 -108.236 248.9 18.98  0.000
## 3792            0.408900 -0.7951000 -2.464 11 -109.979 248.9 18.98  0.000
## 1464 -0.0376800          -0.0844600        10 -111.636 248.9 18.98  0.000
## 3936 -0.0174000 0.243000 -0.8790000 -2.967 12 -108.242 248.9 18.99  0.000
## 4086  0.0265600 0.117700 -0.8281000 -2.878 12 -108.244 248.9 18.99  0.000
## 2952 -0.0060320 1.043000            -1.880  9 -113.210 248.9 18.99  0.000
## 3848 -0.0576200 1.037000 -0.3054000 -2.056  9 -113.215 248.9 19.00  0.000
## 3872  0.0274200 0.769300 -0.5733000 -2.640 11 -110.001 248.9 19.02  0.000
## 3920 -0.0947600 0.438300 -0.7839000 -2.529 11 -110.004 249.0 19.03  0.000
## 3504 -0.0106900          -0.6405000 -2.507 11 -110.005 249.0 19.03  0.000
## 1956 -0.0788000 1.032000 -0.0469200         9 -113.243 249.0 19.06  0.000
## 4014  0.0142400 0.771300 -0.6915000 -2.163 11 -110.019 249.0 19.06  0.000
## 1744            0.646600 -0.2675000        10 -111.676 249.0 19.07  0.000
## 1432  0.0110100          -0.1048000         9 -113.247 249.0 19.07  0.000
## 1998 -0.1585000 0.631300 -0.3447000        10 -111.679 249.0 19.07  0.000
## 1959 -0.2088000 1.073000  0.0823300         9 -113.254 249.0 19.08  0.000
## 3800            0.268200 -0.7416000 -2.673 11 -110.034 249.0 19.09  0.000
## 976  -0.1443000 0.694500                   10 -111.695 249.0 19.10  0.000
## 1999 -0.1997000 0.661800 -0.2851000        10 -111.696 249.0 19.10  0.000
## 1696            0.934200 -0.1025000        10 -111.696 249.0 19.10  0.000
## 1816 -0.1265000 1.063000  0.1365000         9 -113.267 249.0 19.11  0.000
## 928  -0.0587400 0.950700                   10 -111.698 249.0 19.11  0.000
## 3972  0.0186500 0.995000 -0.4200000 -2.073  9 -113.271 249.0 19.11  0.000
## 3536 -0.0534800          -0.8692000 -2.517 11 -110.047 249.0 19.11  0.000
## 1480 -0.1231000          -0.2472000         9 -113.272 249.0 19.11  0.000
## 3544  0.0273000          -0.7818000 -2.715 11 -110.063 249.1 19.15  0.000
## 3784            0.477400 -0.6171000 -2.290 10 -111.717 249.1 19.15  0.000
## 2976  0.1134000 0.795100            -2.368 11 -110.064 249.1 19.15  0.000
## 3056 -0.0210800 0.442300            -2.493 12 -108.325 249.1 19.15  0.000
## 1950 -0.0384200 0.909800 -0.1766000        10 -111.722 249.1 19.16  0.000
## 3880 -0.0765000 0.881700 -0.3682000 -2.221 10 -111.723 249.1 19.16  0.000
## 3752            0.872800 -0.3618000 -2.215 10 -111.724 249.1 19.16  0.000
## 4044 -0.0262400 0.410700 -0.8825000 -2.558 11 -110.073 249.1 19.17  0.000
## 4023 -0.0692800 0.648500 -0.4214000 -2.454 11 -110.089 249.1 19.20  0.000
## 4047 -0.1197000 0.427000 -0.7735000 -2.378 11 -110.099 249.1 19.22  0.000
## 4052  0.0564300 0.259500 -0.8035000 -2.762 11 -110.100 249.1 19.22  0.000
## 4054  0.0502300 0.218300 -0.8209000 -2.576 11 -110.102 249.2 19.22  0.000
## 3991 -0.0213700 0.795300 -0.3978000 -2.216 10 -111.764 249.2 19.24  0.000
## 2984 -0.0332800 0.917600            -2.118 10 -111.771 249.2 19.26  0.000
## 3912 -0.0965600 0.519400 -0.5914000 -2.390 10 -111.774 249.2 19.26  0.000
## 1864 -0.2167000 0.808500 -0.0338400         9 -113.347 249.2 19.27  0.000
## 1975 -0.1615000 0.854700  0.0404500        10 -111.778 249.2 19.27  0.000
## 1456 -0.0981300          -0.1723000        10 -111.779 249.2 19.27  0.000
## 1948 -0.0154000 0.929100 -0.1785000        10 -111.792 249.2 19.30  0.000
## 3998  0.1281000 0.664900 -0.7406000 -2.338 11 -110.140 249.2 19.30  0.000
## 4004 -0.0237600 0.866300 -0.4416000 -2.304 10 -111.794 249.2 19.30  0.000
## 4046 -0.0174300 0.344000 -0.9286000 -2.293 11 -110.146 249.2 19.31  0.000
## 3975 -0.0909700 1.038000 -0.2817000 -1.843  9 -113.371 249.2 19.31  0.000
## 3528 -0.0446300          -0.6998000 -2.352 10 -111.804 249.2 19.32  0.000
## 3488  0.1119000          -0.7035000 -2.622 11 -110.152 249.3 19.32  0.000
## 4079 -0.1713000 0.352000 -0.7825000 -2.566 12 -108.418 249.3 19.34  0.000
## 4063 -0.0513400 0.223800 -0.8693000 -2.718 12 -108.419 249.3 19.34  0.000
## 3064  0.0735500 0.267400            -2.748 12 -108.424 249.3 19.35  0.000
## 1488 -0.1365000          -0.3756000        10 -111.832 249.3 19.38  0.000
## 3928 -0.0202700 0.327800 -0.6828000 -2.821 11 -110.182 249.3 19.38  0.000
## 4015 -0.1463000 0.894300 -0.4578000 -2.214 11 -110.183 249.3 19.38  0.000
## 1951 -0.1109000 0.964300 -0.0861200        10 -111.845 249.3 19.40  0.000
## 4038 -0.0183700 0.416800 -0.7427000 -2.132 10 -111.851 249.3 19.42  0.000
## 3728            0.993500 -0.4625000 -2.091 10 -111.852 249.3 19.42  0.000
## 3016 -0.0102100 0.569500            -2.118 10 -111.852 249.3 19.42  0.000
## 4039 -0.1204000 0.497400 -0.5891000 -2.192 10 -111.858 249.4 19.43  0.000
## 3856 -0.0522200 1.015000 -0.4502000 -2.148 10 -111.869 249.4 19.45  0.000
## 3024  0.0056020 0.526900            -2.241 11 -110.218 249.4 19.45  0.000
## 1448 -0.0828700          -0.0531100         9 -113.443 249.4 19.46  0.000
## 1988 -0.0589500 0.720100 -0.2718000         9 -113.447 249.4 19.46  0.000
## 1872 -0.2216000 0.747800 -0.1847000        10 -111.876 249.4 19.46  0.000
## 3040  0.1038000 0.329300            -2.594 12 -108.484 249.4 19.47  0.000
## 4036 -0.0007863 0.479100 -0.7276000 -2.416 10 -111.883 249.4 19.48  0.000
## 3974  0.0522000 0.942200 -0.4894000 -1.712  9 -113.457 249.4 19.48  0.000
## 2030 -0.2036000 0.584700 -0.3074000        11 -110.235 249.4 19.49  0.000
## 3032  0.0877100 0.372400            -2.470 11 -110.238 249.4 19.50  0.000
## 3980 -0.0020860 0.987800 -0.5264000 -2.164 10 -111.897 249.4 19.51  0.000
## 1776            0.587400 -0.2434000        11 -110.248 249.4 19.52  0.000
## 1008 -0.1833000 0.635500                   11 -110.257 249.5 19.53  0.000
## 2960  0.0087060 1.045000            -1.971 10 -111.928 249.5 19.57  0.000
## 3999 -0.0170200 0.777800 -0.5392000 -2.358 11 -110.285 249.5 19.59  0.000
## 1996 -0.0861600 0.669000 -0.3927000        10 -111.940 249.5 19.59  0.000
## 1424 -0.0403500          -0.1769000         9 -113.524 249.5 19.62  0.000
## 1904 -0.2437000 0.654000 -0.2086000        11 -110.311 249.6 19.64  0.000
## 2006 -0.1165000 0.563900 -0.1812000        10 -111.974 249.6 19.66  0.000
## 2046 -0.1709000 0.444900 -0.2711000        12 -108.580 249.6 19.66  0.000
## 4006  0.0129100 0.815800 -0.5138000 -1.983 10 -111.979 249.6 19.67  0.000
## 1752            0.551000 -0.1725000        10 -111.979 249.6 19.67  0.000
## 1792            0.413200 -0.2819000        12 -108.583 249.6 19.67  0.000
## 4055 -0.0527600 0.297000 -0.6821000 -2.527 11 -110.331 249.6 19.68  0.000
## 984  -0.0886100 0.581900                   10 -111.987 249.6 19.69  0.000
## 3464  0.0424300          -0.4550000 -2.067  9 -113.565 249.6 19.70  0.000
## 1824 -0.1256000 1.047000  0.0156500        10 -112.006 249.7 19.72  0.000
## 1024 -0.1160000 0.461000                   12 -108.611 249.7 19.73  0.000
## 1520 -0.1773000          -0.3493000        11 -110.377 249.7 19.77  0.000
## 2031 -0.2527000 0.610200 -0.2581000        11 -110.379 249.7 19.78  0.000
## 3983 -0.0876700 1.024000 -0.4191000 -1.977 10 -112.034 249.7 19.78  0.000
## 3496 -0.0013050          -0.4761000 -2.308 10 -112.037 249.7 19.79  0.000
## 1536 -0.1249000          -0.3567000        12 -108.651 249.7 19.81  0.000
## 4032  0.0191100 0.500000 -0.7189000 -2.977 13 -106.818 249.7 19.82  0.000
## 1440  0.0058940          -0.2079000        10 -112.054 249.7 19.82  0.000
## 2007 -0.1468000 0.568200 -0.1704000        10 -112.085 249.8 19.88  0.000
## 1496 -0.0726500          -0.2574000        10 -112.093 249.8 19.90  0.000
## 2044 -0.0933500 0.424700 -0.3668000        12 -108.698 249.8 19.90  0.000
## 2028 -0.1345000 0.610100 -0.3619000        11 -110.458 249.9 19.93  0.000
## 2014 -0.1250000 0.515100 -0.3173000        11 -110.494 249.9 20.01  0.000
## 3816            0.411500 -0.6169000 -2.481 11 -110.497 249.9 20.01  0.000
## 3944 -0.1098000 0.429200 -0.6203000 -2.507 11 -110.498 249.9 20.01  0.000
## 1760            0.503500 -0.3035000        11 -110.501 249.9 20.02  0.000
## 4007 -0.1397000 0.933500 -0.2911000 -2.015 10 -112.165 250.0 20.04  0.000
## 1000 -0.1845000 0.681900                   10 -112.168 250.0 20.05  0.000
## 2022 -0.1860000 0.648700 -0.1607000        10 -112.168 250.0 20.05  0.000
## 1920 -0.1951000 0.508200 -0.2037000        12 -108.775 250.0 20.05  0.000
## 1768            0.652400 -0.0997000        10 -112.178 250.0 20.07  0.000
## 992  -0.0818000 0.551100                   11 -110.534 250.0 20.09  0.000
## 3982  0.0595000 0.925800 -0.6311000 -1.817 10 -112.197 250.0 20.11  0.000
## 3560 -0.0741200          -0.6932000 -2.535 11 -110.563 250.1 20.15  0.000
## 2004 -0.0173900 0.562800 -0.2810000        10 -112.228 250.1 20.17  0.000
## 2015 -0.1521000 0.519700 -0.3069000        11 -110.580 250.1 20.18  0.000
## 1504 -0.0863400          -0.3850000        11 -110.600 250.1 20.22  0.000
## 3472  0.0416000          -0.5866000 -2.191 10 -112.256 250.2 20.22  0.000
## 4087 -0.0932100 0.214900 -0.6742000 -2.712 12 -108.877 250.2 20.26  0.000
## 4070 -0.0464200 0.356000 -0.7394000 -2.332 11 -110.621 250.2 20.26  0.000
## 4068 -0.0372500 0.414500 -0.7162000 -2.591 11 -110.622 250.2 20.26  0.000
## 2047 -0.2047000 0.443500 -0.2797000        12 -108.880 250.2 20.26  0.000
## 3048 -0.0343300 0.505800            -2.308 11 -110.638 250.2 20.30  0.000
## 1896 -0.2346000 0.737500 -0.0353400        10 -112.305 250.3 20.32  0.000
## 2023 -0.2366000 0.674600 -0.1103000        10 -112.317 250.3 20.35  0.000
## 2012 -0.0448600 0.514300 -0.4004000        11 -110.678 250.3 20.37  0.000
## 1512 -0.1550000          -0.2097000        10 -112.331 250.3 20.37  0.000
## 2038 -0.1536000 0.512200 -0.1230000        11 -110.694 250.3 20.41  0.000
## 1784            0.482200 -0.1355000        11 -110.695 250.3 20.41  0.000
## 1016 -0.1182000 0.510900                   11 -110.697 250.3 20.41  0.000
## 1880 -0.1739000 0.699100 -0.0267200        10 -112.410 250.5 20.53  0.000
## 1528 -0.1030000          -0.2153000        11 -110.784 250.5 20.59  0.000
## 2020 -0.0955000 0.677800 -0.2319000        10 -112.489 250.6 20.69  0.000
## 4071 -0.1618000 0.446100 -0.5732000 -2.320 11 -110.837 250.6 20.69  0.000
## 4096 -0.0169800 0.054480 -0.9803000 -3.225 14 -105.320 250.6 20.71  0.000
## 1888 -0.1787000 0.638000 -0.1779000        11 -110.875 250.7 20.77  0.000
## 2036 -0.0543900 0.494100 -0.2361000        11 -110.897 250.7 20.81  0.000
## 1928 -0.1282000 1.144000  0.0395500         9 -114.155 250.8 20.88  0.000
## 1912 -0.1872000 0.597500 -0.0272100        11 -110.971 250.9 20.96  0.000
## 2039 -0.1894000 0.512200 -0.1294000        11 -110.989 250.9 21.00  0.000
## 4024  0.0219800 0.552700 -0.5382000 -2.749 12 -109.263 251.0 21.03  0.000
## 1984 -0.1160000 0.774400 -0.1285000        12 -109.494 251.4 21.49  0.000
## 1944 -0.0682800 0.943700 -0.0093000        10 -112.901 251.4 21.51  0.000
## 1968 -0.1793000 1.019000 -0.0709800        11 -111.347 251.6 21.71  0.000
## 1936 -0.1332000 1.141000 -0.0632900        10 -113.015 251.7 21.74  0.000
## 1960 -0.1660000 1.042000  0.0498500        10 -113.020 251.7 21.75  0.000
## 1976 -0.1038000 0.803600 -0.0036880        11 -111.370 251.7 21.76  0.000
## 3992  0.0458800 0.742800 -0.4760000 -2.397 11 -111.388 251.7 21.79  0.000
## 1992 -0.1723000 0.707600 -0.1605000        10 -113.088 251.8 21.89  0.000
## 4016 -0.0808800 0.839300 -0.5393000 -2.412 12 -109.693 251.8 21.89  0.000
## 3976 -0.0435400 1.009000 -0.3355000 -1.963 10 -113.172 252.0 22.06  0.000
## 4080 -0.1148000 0.325800 -0.8394000 -2.720 13 -108.042 252.2 22.27  0.000
## 2000 -0.1823000 0.659900 -0.2937000        11 -111.663 252.3 22.34  0.000
## 4000  0.0470400 0.728000 -0.6121000 -2.529 12 -109.922 252.3 22.35  0.000
## 1952 -0.0730900 0.940300 -0.1126000        11 -111.694 252.3 22.41  0.000
## 4040 -0.0805500 0.483800 -0.6275000 -2.285 11 -111.714 252.4 22.45  0.000
## 4048 -0.0842700 0.415500 -0.8061000 -2.459 12 -109.976 252.4 22.46  0.000
## 4008 -0.0748900 0.879000 -0.3714000 -2.211 11 -111.722 252.4 22.46  0.000
## 4064  0.0032940 0.197500 -0.9212000 -2.851 13 -108.146 252.4 22.48  0.000
## 4088 -0.0099490 0.159500 -0.7610000 -2.957 13 -108.192 252.5 22.57  0.000
## 4056  0.0064700 0.267700 -0.7407000 -2.673 12 -110.034 252.5 22.57  0.000
## 3984 -0.0433800 0.997200 -0.4680000 -2.088 11 -111.851 252.6 22.72  0.000
## 2032 -0.2188000 0.603200 -0.2747000        12 -110.228 252.9 22.96  0.000
## 2008 -0.1130000 0.559600 -0.1885000        11 -111.974 252.9 22.97  0.000
## 2048 -0.1551000 0.424900 -0.3039000        13 -108.572 253.3 23.33  0.000
## 2024 -0.2011000 0.667000 -0.1283000        11 -112.162 253.3 23.34  0.000
## 4072 -0.1050000 0.419700 -0.6306000 -2.475 12 -110.492 253.4 23.49  0.000
## 2016 -0.1232000 0.512800 -0.3211000        12 -110.494 253.4 23.49  0.000
## 2040 -0.1382000 0.492600 -0.1551000        12 -110.687 253.8 23.88  0.000
## Models ranked by AICc(x)

dredge(reg,rank = "BIC")

## Fixed term is "(Intercept)"

## Global model call: lm(formula = y ~ ., data = data)
## ---
## Model selection table 
##      (Intrc)     x1        x10        x11    x12     x2    x3    x4         x5
## 1      5.098                                                                  
## 33     4.044                                            2.004                 
## 17     6.013                                     -1.803                       
## 9      5.947                              -1.844                              
## 65     4.276                                                  1.802           
## 2105   7.147                              -2.246 -2.411 2.707                 
## 41     4.860                              -2.173        2.353                 
## 2049   6.030                                                                  
## 57     5.804                              -2.225 -2.045 2.575                 
## 49     4.945                                     -1.992 2.212                 
## 2169   6.518                              -2.396 -2.233 2.494 1.914           
## 2065   7.317                                     -2.134                       
## 2097   6.266                                     -2.354 2.339                 
## 73     5.126                              -2.033              1.989           
## 2113   5.255                                                  2.122           
## 25     6.879                              -1.863 -1.821                       
## 2121   6.132                              -2.063              2.316           
## 513    4.485                                                                  
## 105    4.208                              -2.317        2.160 1.797           
## 2081   4.980                                            2.077                 
## 2129   6.506                                     -1.972       1.955           
## 2153   5.215                              -2.354        2.214 2.127           
## 2089   5.805                              -2.182        2.427                 
## 2137   7.388                              -2.067 -1.977       2.149           
## 129    5.612                                                        -1.0840000
## 2057   6.877                              -1.843                              
## 97     3.407                                            1.810 1.620           
## 2073   8.186                              -1.865 -2.153                       
## 81     5.184                                     -1.629       1.623           
## 5      4.660                    0.8735000                                     
## 2161   5.644                                     -2.190 2.125 1.729           
## 121    5.149                              -2.346 -1.861 2.386 1.572           
## 3      5.325        -4.842e-01                                                
## 2106   6.512 1.4160                       -2.264 -2.593 3.011                 
## 2      4.909 0.3699                                                           
## 2145   4.382                                            1.856 1.941           
## 89     6.034                              -2.033 -1.629       1.809           
## 1025   5.169                                                                  
## 257    5.061                                                                  
## 145    6.681                                     -1.914             -1.2920000
## 521    5.336                              -1.836                              
## 113    4.321                                     -1.826 2.027 1.397           
## 545    3.534                                            1.924                 
## 69     3.641                    1.1320000                     1.948           
## 529    5.431                                     -1.714                       
## 2098   5.637 1.3880                              -2.532 2.635                 
## 193    4.806                                                  1.839 -1.1550000
## 2170   6.030 1.1950                       -2.400 -2.401 2.767 1.769           
## 553    4.360                              -2.155        2.273                 
## 137    6.364                              -1.781                    -0.9434000
## 37     3.702                    0.7420000               1.946                 
## 577    3.935                                                  1.615           
## 21     5.610                    0.7525000        -1.754                       
## 34     3.604 0.7166                                     2.141                 
## 161    4.477                                            1.880       -0.7760000
## 2561   5.435                                                                  
## 13     5.557                    0.7198000 -1.781                              
## 58     5.266 0.9511                       -2.235 -2.136 2.768                 
## 2107   7.669        -8.496e-01            -2.267 -2.359 2.659                 
## 18     5.766 0.5204                              -1.844                       
## 2051   6.697        -1.090e+00                                                
## 3129   7.660                              -2.291 -2.416 2.702                 
## 3193   7.157                              -2.464 -2.231 2.476 2.020           
## 11     6.217        -5.592e-01            -1.863                              
## 42     4.412 0.7335                       -2.179        2.494                 
## 35     4.220        -3.516e-01                          1.982                 
## 569    5.357                              -2.209 -1.966 2.500                 
## 2617   6.776                              -2.233 -2.341 2.648                 
## 19     6.124        -2.657e-01                   -1.777                       
## 10     5.771 0.3360                       -1.837                              
## 1057   4.091                                            2.002                 
## 289    4.052                                            2.005                 
## 50     4.415 0.9281                              -2.081 2.399                 
## 1041   6.049                                     -1.801                       
## 561    4.482                                     -1.910 2.137                 
## 273    5.987                                     -1.802                       
## 1033   6.085                              -1.860                              
## 1089   4.396                                                  1.816           
## 177    5.517                                     -2.063 2.065       -0.9694000
## 265    5.904                              -1.844                              
## 66     4.196 0.1714                                           1.783           
## 67     4.377        -1.916e-01                                1.777           
## 321    4.270                                                  1.802           
## 77     4.543                    0.9843000 -1.959              2.108           
## 45     4.593                    0.5351000 -2.119        2.303                 
## 169    5.146                              -2.123        2.258       -0.5461000
## 2066   6.995 0.9011                              -2.232                       
## 201    5.560                              -1.968              2.015 -1.0070000
## 2050   5.755 0.6517                                                           
## 185    6.215                              -2.159 -2.097 2.452       -0.7388000
## 43     5.073        -4.165e-01            -2.183        2.328                 
## 2577   6.789                                     -2.048                       
## 3073   6.431                                                                  
## 2177   6.253                                                        -0.6537000
## 2067   7.856        -9.327e-01                   -2.082                       
## 2053   5.691                    0.5485000                                     
## 1065   4.980                              -2.186        2.349                 
## 2361   7.088                              -2.246 -2.410 2.701                 
## 2109   7.238                   -0.1347000 -2.260 -2.426 2.722                 
## 2233   7.194                              -2.236 -2.414 2.686       -0.1165000
## 297    4.870                              -2.173        2.354                 
## 585    4.799                              -2.011              1.812           
## 153    7.439                              -1.787 -1.920             -1.1510000
## 53     4.652                    0.5931000        -1.949 2.161                 
## 537    6.301                              -1.855 -1.734                       
## 3137   5.783                                                  2.207           
## 2193   7.610                                     -2.173             -0.7925000
## 2171   6.934        -6.494e-01            -2.408 -2.199 2.464 1.860           
## 2099   6.736        -7.770e-01                   -2.306 2.293                 
## 2609   5.874                                     -2.279 2.279                 
## 61     5.605                    0.3744000 -2.187 -2.017 2.536                 
## 2305   5.925                                                                  
## 2117   4.748                    0.7752000                     2.199           
## 3089   7.733                                     -2.139                       
## 2115   5.796        -8.370e-01                                2.044           
## 3121   6.662                                     -2.357 2.330                 
## 1081   5.880                              -2.234 -2.040 2.572                 
## 59     5.875        -1.531e-01            -2.229 -2.029 2.564                 
## 313    5.832                              -2.226 -2.046 2.578                 
## 3145   6.794                              -2.136              2.425           
## 51     4.987        -9.303e-02                   -1.982 2.205                 
## 305    4.970                                     -1.993 2.215                 
## 1073   4.951                                     -1.991 2.212                 
## 2241   5.473                                                  2.118 -0.6361000
## 2625   4.982                                                  1.981           
## 209    5.860                                     -1.741       1.653 -1.3370000
## 2681   6.417                              -2.389 -2.216 2.481 1.868           
## 2425   6.472                              -2.396 -2.233 2.489 1.913           
## 2297   6.565                              -2.386 -2.237 2.473 1.914 -0.1163000
## 2173   6.451                    0.0935000 -2.387 -2.222 2.482 1.925           
## 2069   7.101                    0.3181000        -2.102                       
## 2082   4.433 1.0450                                     2.284                 
## 2225   6.434                                     -2.366 2.276       -0.3793000
## 1097   5.325                              -2.059              2.013           
## 2090   5.252 1.0640                       -2.192        2.640                 
## 2321   7.210                                     -2.135                       
## 2114   5.072 0.4692                                           2.082           
## 2353   6.206                                     -2.353 2.333                 
## 75     5.257        -2.441e-01            -2.038              1.957           
## 2101   6.197                    0.1091000        -2.341 2.329                 
## 74     5.072 0.1125                       -2.029              1.976           
## 329    5.118                              -2.033              1.988           
## 2123   6.726        -9.044e-01            -2.085              2.233           
## 3177   5.860                              -2.422        2.196 2.233           
## 2593   4.495                                            2.005                 
## 641    4.987                                                        -0.9769000
## 3161   8.048                              -2.140 -1.976       2.257           
## 2369   5.170                                                  2.119           
## 2162   5.158 1.1880                              -2.356 2.396 1.584           
## 517    4.077                    0.8383000                                     
## 2569   6.286                              -1.836                              
## 2091   6.481        -1.042e+00            -2.210        2.376                 
## 29     6.537                    0.5943000 -1.811 -1.782                       
## 2083   5.597        -9.674e-01                          2.025                 
## 3153   7.032                                     -1.971       2.040           
## 2601   5.334                              -2.166        2.356                 
## 2059   7.612        -1.172e+00            -1.882                              
## 109    3.775                    0.7918000 -2.246        2.075 1.901           
## 2154   4.804 0.8396                       -2.354        2.391 2.037           
## 26     6.644 0.4874                       -1.854 -1.860                       
## 2125   5.712                    0.6115000 -2.015              2.372           
## 101    2.896                    0.9908000               1.716 1.757           
## 85     4.578                    1.0000000        -1.549       1.761           
## 2130   6.279 0.7161                              -2.055       1.885           
## 617    3.937                              -2.293        2.124 1.645           
## 2633   5.883                              -2.047              2.189           
## 2257   6.792                                     -2.010       1.947 -0.7659000
## 27     7.027        -3.398e-01            -1.874 -1.789                       
## 2075   8.787        -1.014e+00            -1.898 -2.096                       
## 2155   5.758        -8.067e-01            -2.370        2.181 2.056           
## 2074   7.869 0.8675                       -1.849 -2.247                       
## 1049   6.978                              -1.875 -1.815                       
## 2122   5.966 0.4128                       -2.051              2.279           
## 2249   6.277                              -2.031              2.310 -0.4624000
## 2131   6.942        -7.095e-01                   -1.938       1.891           
## 233    4.533                              -2.260        2.046 1.823 -0.6406000
## 281    6.848                              -1.863 -1.821                       
## 515    4.735        -5.666e-01                                                
## 2585   7.663                              -1.859 -2.068                       
## 3113   6.301                              -2.226        2.422                 
## 3105   5.364                                            2.067                 
## 106    3.925 0.5010                       -2.315        2.264 1.731           
## 2133   6.110                    0.5465000        -1.912       2.014           
## 2139   7.874        -7.769e-01            -2.086 -1.939       2.081           
## 2377   6.045                              -2.063              2.313           
## 225    3.878                                            1.665 1.662 -0.8757000
## 514    4.301 0.3608                                                           
## 2138   7.171 0.6595                       -2.049 -2.053       2.083           
## 609    3.114                                            1.774 1.452           
## 3097   8.708                              -1.912 -2.159                       
## 2641   6.292                                     -1.939       1.858           
## 1129   4.387                              -2.339        2.152 1.819           
## 3081   7.382                              -1.888                              
## 2085   4.757                    0.3882000               2.043                 
## 133    5.184                    0.7253000                           -0.9503000
## 593    4.861                                     -1.585       1.464           
## 1537   4.508                                                                  
## 769    4.497                                                                  
## 217    6.602                              -1.956 -1.729       1.829 -1.1880000
## 2209   5.096                                            2.030       -0.2743000
## 2265   7.592                              -2.027 -2.006       2.139 -0.5924000
## 2665   5.028                              -2.339        2.191 2.028           
## 107    4.286        -1.407e-01            -2.319        2.154 1.779           
## 361    4.242                              -2.317        2.164 1.799           
## 2157   4.964                    0.3929000 -2.318        2.169 2.167           
## 2058   6.611 0.6168                       -1.831                              
## 2385   6.417                                     -1.973       1.951           
## 2337   4.918                                            2.070                 
## 2201   8.402                              -1.823 -2.183             -0.6388000
## 3185   6.145                                     -2.187 2.102 1.810           
## 2141   7.101                    0.3783000 -2.038 -1.935       2.187           
## 2409   5.169                              -2.354        2.209 2.126           
## 98     3.122 0.5070                                     1.915 1.553           
## 2281   5.225                              -2.352        2.209 2.127 -0.0238000
## 2649   7.204                              -2.057 -1.949       2.066           
## 130    5.397 0.4568                                                 -1.1270000
## 2093   5.705                    0.1643000 -2.166        2.410                 
## 2345   5.745                              -2.182        2.421                 
## 2185   7.032                              -1.809                    -0.5004000
## 2217   5.811                              -2.181        2.424       -0.0157700
## 3130   7.084 1.4930                       -2.318 -2.609 3.022                 
## 131    5.783        -3.990e-01                                      -1.0530000
## 2061   6.624                    0.3855000 -1.809                              
## 2393   7.297                              -2.068 -1.978       2.145           
## 1153   5.742                                                        -1.1070000
## 82     5.048 0.3290                              -1.659       1.583           
## 2313   6.768                              -1.844                              
## 7      4.901        -5.537e-01  0.9086000                                     
## 6      4.371 0.4968             0.9421000                                     
## 385    5.562                                                        -1.0870000
## 2329   8.075                              -1.866 -2.153                       
## 1121   3.504                                            1.803 1.631           
## 249    5.585                              -2.276 -1.916 2.249 1.599 -0.8050000
## 122    4.777 0.7348                       -2.346 -1.945 2.548 1.465           
## 99     3.462        -9.881e-02                          1.805 1.607           
## 1105   5.266                                     -1.622       1.634           
## 353    3.437                                            1.812 1.622           
## 2077   8.080                    0.1473000 -1.852 -2.138                       
## 83     5.192        -1.720e-02                   -1.628       1.621           
## 337    5.185                                     -1.629       1.623           
## 2146   3.971 0.8393                                     2.033 1.851           
## 2163   6.021        -5.923e-01                   -2.158 2.096 1.679           
## 2108   7.022 1.4030 -8.205e-01            -2.284 -2.541 2.962                 
## 93     5.492                    0.8508000 -1.969 -1.561       1.920           
## 3169   4.890                                            1.833 2.023           
## 125    4.784                    0.6154000 -2.291 -1.805 2.313 1.659           
## 1029   4.686                    0.8687000                                     
## 261    4.676                    0.8777000                                     
## 2289   5.819                                     -2.203 2.059 1.731 -0.3951000
## 633    4.911                              -2.327 -1.825 2.353 1.454           
## 2165   5.420                    0.3313000        -2.150 2.087 1.768           
## 2673   5.499                                     -2.164 2.107 1.661           
## 2147   4.880        -7.476e-01                          1.824 1.874           
## 2618   6.196 1.3870                       -2.252 -2.527 2.953                 
## 2417   5.596                                     -2.190 2.120 1.727           
## 601    5.728                              -2.014 -1.588       1.661           
## 2149   4.009                    0.6145000               1.796 2.007           
## 657    6.105                                     -1.826             -1.1920000
## 3194   6.701 1.2760                       -2.474 -2.409 2.766 1.876           
## 2657   4.160                                            1.831 1.822           
## 1145   5.278                              -2.363 -1.850 2.378 1.590           
## 241    4.916                                     -1.898 1.863 1.438 -1.0400000
## 377    5.197                              -2.347 -1.863 2.391 1.574           
## 123    5.113         7.088e-02            -2.345 -1.868 2.390 1.580           
## 4      5.137 0.3515 -4.670e-01                                                
## 2362   6.396 1.4360                       -2.263 -2.595 3.004                 
## 2273   4.509                                            1.805 1.944 -0.3001000
## 2234   6.570 1.4190                       -2.250 -2.597 2.986       -0.1431000
## 1027   5.342        -4.740e-01                                                
## 259    5.318        -4.824e-01                                                
## 2110   6.528 1.4150            -0.0224800 -2.266 -2.595 3.014                 
## 1113   6.190                              -2.054 -1.616       1.831           
## 1026   4.985 0.3764                                                           
## 258    4.854 0.3766                                                           
## 2401   4.333                                            1.851 1.939           
## 649    5.739                              -1.780                    -0.8361000
## 90     5.920 0.2698                       -2.025 -1.654       1.776           
## 197    4.175                    0.9810000                     1.960 -0.9789000
## 117    3.859                    0.8233000        -1.752 1.940 1.520           
## 91     6.068        -7.012e-02            -2.034 -1.623       1.801           
## 345    6.033                              -2.033 -1.629       1.809           
## 1281   5.140                                                                  
## 525    4.974                    0.6852000 -1.777                              
## 146    6.414 0.6354                              -1.970             -1.3570000
## 114    3.948 0.7367                              -1.910 2.190 1.290           
## 581    3.354                    1.0850000                     1.769           
## 549    3.212                    0.7154000               1.870                 
## 523    5.628        -6.410e-01            -1.857                              
## 546    3.114 0.6951                                     2.059                 
## 149    6.325                    0.5601000        -1.869             -1.1830000
## 625    4.055                                     -1.784 1.992 1.262           
## 533    5.051                    0.7275000        -1.669                       
## 673    3.940                                            1.818       -0.6875000
## 3122   6.092 1.4510                              -2.544 2.636                 
## 705    4.470                                                  1.671 -1.0790000
## 2100   6.095 1.3750 -7.479e-01                   -2.484 2.587                 
## 522    5.166 0.3271                       -1.830                              
## 2610   5.300 1.3560                              -2.461 2.574                 
## 2563   6.109        -1.136e+00                                                
## 1169   6.779                                     -1.910             -1.3090000
## 147    6.736        -1.473e-01                   -1.899             -1.2780000
## 1545   5.428                              -1.846                              
## 401    6.640                                     -1.914             -1.2940000
## 777    5.343                              -1.836                              
## 530    5.196 0.5052                              -1.755                       
## 547    3.739        -4.315e-01                          1.895                 
## 554    3.931 0.7126                       -2.161        2.411                 
## 2172   6.442 1.1910 -6.401e-01            -2.411 -2.366 2.736 1.717           
## 70     3.474 0.3141             1.1710000                     1.918           
## 1137   4.372                                     -1.822 2.023 1.404           
## 115    4.265         1.096e-01                   -1.836 2.033 1.410           
## 38     3.149 0.8231             0.8456000               2.096                 
## 369    4.363                                     -1.828 2.031 1.399           
## 801    3.580                                            1.929                 
## 1569   3.537                                            1.924                 
## 531    5.565        -3.497e-01                   -1.679                       
## 71     3.770        -2.563e-01  1.1440000                     1.916           
## 2226   5.815 1.3950                              -2.546 2.569       -0.4073000
## 1093   3.715                    1.1190000                     1.954           
## 325    3.699                    1.1490000                     1.955           
## 1217   4.993                                                  1.860 -1.1910000
## 785    5.448                                     -1.715                       
## 1553   5.426                                     -1.715                       
## 2354   5.521 1.4070                              -2.534 2.628                 
## 570    4.846 0.9262                       -2.219 -2.058 2.691                 
## 162    4.037 0.7602                                     2.018       -0.8246000
## 2102   5.489 1.4050             0.2212000        -2.509 2.617                 
## 194    4.697 0.2592                                           1.811 -1.1790000
## 557    4.111                    0.5107000 -2.104        2.226                 
## 195    4.850        -9.055e-02                                1.827 -1.1480000
## 449    4.787                                                  1.838 -1.1570000
## 141    5.996                    0.5931000 -1.736                    -0.8373000
## 555    4.599        -4.935e-01            -2.167        2.241                 
## 178    4.994 0.9917                              -2.164 2.253       -1.0420000
## 681    4.616                              -2.113        2.195       -0.4603000
## 22     5.268 0.6293             0.8364000        -1.798                       
## 165    4.115                    0.6454000               1.848       -0.6620000
## 2426   5.935 1.2120                       -2.399 -2.403 2.762 1.764           
## 186    5.689 0.9998                       -2.163 -2.199 2.643       -0.8119000
## 2174   5.902 1.2060             0.1729000 -2.383 -2.381 2.747 1.787           
## 2682   5.945 1.1910                       -2.393 -2.385 2.755 1.731           
## 2298   6.085 1.1970                       -2.387 -2.405 2.742 1.769 -0.1388000
## 2562   5.178 0.6279                                                           
## 139    6.580        -4.836e-01            -1.799                    -0.9035000
## 562    3.981 0.9021                              -1.999 2.321                 
## 138    6.166 0.4130                       -1.770                    -0.9829000
## 2619   7.299        -8.864e-01            -2.255 -2.283 2.595                 
## 1577   4.440                              -2.163        2.271                 
## 1161   6.559                              -1.799                    -0.9751000
## 809    4.407                              -2.155        2.278                 
## 2565   5.107                    0.5367000                                     
## 15     5.833        -6.146e-01  0.7572000 -1.799                              
## 2689   5.650                                                        -0.5774000
## 3131   8.039        -7.384e-01            -2.303 -2.370 2.661                 
## 39     3.897        -4.148e-01  0.7703000               1.917                 
## 3585   5.791                                                                  
## 689    5.043                                     -1.981 2.007       -0.8904000
## 393    6.311                              -1.781                    -0.9464000
## 2052   6.421 0.6531 -1.091e+00                                                
## 23     5.737        -3.321e-01  0.7759000        -1.721                       
## 14     5.292 0.4426             0.7821000 -1.768                              
## 579    4.074        -2.830e-01                                1.572           
## 36     3.768 0.7007 -3.081e-01                          2.119                 
## 3641   7.287                              -2.276 -2.354 2.651                 
## 578    3.847 0.1861                                           1.593           
## 1601   4.024                                                  1.628           
## 163    4.614        -2.984e-01                          1.864       -0.7549000
## 293    3.748                    0.7546000               1.951                 
## 833    3.958                                                  1.616           
## 1061   3.709                    0.7407000               1.946                 
## 46     4.045 0.8134             0.6378000 -2.116        2.450                 
## 54     4.014 1.0140             0.7139000        -2.038 2.355                 
## 277    5.630                    0.7577000        -1.754                       
## 62     4.969 1.0100             0.4949000 -2.186 -2.105 2.729                 
## 1045   5.607                    0.7531000        -1.754                       
## 1058   3.663 0.7211                                     2.139                 
## 2055   6.355        -1.097e+00  0.5597000                                     
## 1185   4.571                                            1.873       -0.7931000
## 205    4.989                    0.8555000 -1.913              2.115 -0.8567000
## 290    3.589 0.7183                                     2.140                 
## 2578   6.496 0.8729                              -2.145                       
## 697    5.751                              -2.150 -2.018 2.394       -0.6630000
## 417    4.472                                            1.880       -0.7763000
## 2068   7.533 0.8964 -9.268e-01                   -2.179                       
## 2579   7.330        -9.766e-01                   -1.989                       
## 2817   5.381                                                                  
## 1037   5.663                    0.7003000 -1.794                              
## 665    6.863                              -1.786 -1.832             -1.0510000
## 170    4.704 0.7646                       -2.125        2.397       -0.5948000
## 269    5.559                    0.7205000 -1.781                              
## 3075   6.951        -1.008e+00                                                
## 589    4.265                    0.9418000 -1.942              1.939           
## 3195   7.416        -4.797e-01            -2.468 -2.206 2.455 1.972           
## 2179   6.812        -1.007e+00                                      -0.4889000
## 2194   7.294 0.9402                              -2.277             -0.8471000
## 565    4.203                    0.5769000        -1.869 2.088                 
## 1082   5.356 0.9573                       -2.246 -2.131 2.765                 
## 20     5.871 0.5092 -2.355e-01                   -1.821                       
## 3090   7.448 0.9630                              -2.244                       
## 3133   7.878                   -0.2734000 -2.323 -2.448 2.734                 
## 2111   7.747        -8.468e-01 -0.1181000 -2.280 -2.372 2.673                 
## 713    5.238                              -1.953              1.855 -0.9352000
## 12     6.045 0.3142 -5.436e-01            -1.856                              
## 60     5.307 0.9460 -8.184e-02            -2.237 -2.127 2.761                 
## 2363   7.645        -8.437e-01            -2.267 -2.359 2.657                 
## 314    5.265 0.9511                       -2.235 -2.136 2.768                 
## 2235   7.661        -8.539e-01            -2.270 -2.358 2.664        0.0255800
## 1042   5.811 0.5241                              -1.841                       
## 274    5.719 0.5261                              -1.843                       
## 44     4.614 0.7144 -3.723e-01            -2.188        2.468                 
## 2307   6.635        -1.075e+00                                                
## 573    5.168                    0.3604000 -2.172 -1.939 2.464                 
## 3257   7.717                              -2.279 -2.420 2.677       -0.1364000
## 3321   7.217                              -2.451 -2.235 2.450 2.020 -0.1425000
## 3385   7.656                              -2.291 -2.416 2.702                 
## 3197   7.214                   -0.0691900 -2.471 -2.240 2.485 2.013           
## 3449   7.193                              -2.465 -2.231 2.479 2.022           
## 3705   7.118                              -2.461 -2.225 2.472 2.003           
## 1066   4.542 0.7431                       -2.193        2.492                 
## 1035   6.280        -5.237e-01            -1.871                              
## 267    6.210        -5.575e-01            -1.863                              
## 3074   6.174 0.7087                                                           
## 2705   7.086                                     -2.088             -0.7275000
## 571    5.454        -2.273e-01            -2.213 -1.941 2.483                 
## 181    5.241                    0.4583000        -2.023 2.038       -0.8848000
## 298    4.399 0.7350                       -2.179        2.493                 
## 2178   5.977 0.6794                                                 -0.6884000
## 2054   5.340 0.7171             0.6266000                                     
## 291    4.255        -3.608e-01                          1.984                 
## 1059   4.228        -3.469e-01                          1.981                 
## 825    5.413                              -2.209 -1.967 2.506                 
## 1593   5.400                              -2.213 -1.964 2.499                 
## 1034   5.911 0.3469                       -1.854                              
## 2621   6.863                   -0.1282000 -2.247 -2.356 2.663                 
## 2873   6.745                              -2.233 -2.342 2.645                 
## 2745   6.809                              -2.226 -2.344 2.635       -0.0758400
## 47     4.814        -4.612e-01  0.5656000 -2.128        2.272                 
## 173    4.870                    0.4704000 -2.083        2.227       -0.4673000
## 266    5.713 0.3431                       -1.838                              
## 1043   6.132        -2.608e-01                   -1.777                       
## 275    6.115        -2.632e-01                   -1.777                       
## 3201   6.670                                                        -0.6720000
## 1313   4.112                                            2.003                 
## 1074   4.437 0.9297                              -2.080 2.398                 
## 52     4.427 0.9267 -2.299e-02                   -2.078 2.397                 
## 306    4.413 0.9284                              -2.081 2.399                 
## 1225   5.825                              -1.997              2.046 -1.0530000
## 563    4.554        -1.708e-01                   -1.891 2.123                 
## 2611   6.347        -8.166e-01                   -2.225 2.227                 
## 817    4.538                                     -1.911 2.142                 
## 2195   8.032        -8.193e-01                   -2.120             -0.6551000
## 3601   7.181                                     -2.057                       
## 1585   4.452                                     -1.911 2.138                 
## 1297   6.026                                     -1.800                       
## 1289   6.063                              -1.859                              
## 1090   4.316 0.1804                                           1.797           
## 1101   4.709                    0.9545000 -1.981              2.123           
## 2070   6.703 0.9397             0.4103000        -2.194                       
## 79     4.695        -2.987e-01  0.9979000 -1.964              2.071           
## 1091   4.454        -1.359e-01                                1.797           
## 171    5.324        -3.785e-01            -2.135        2.240       -0.5180000
## 1345   4.418                                                  1.818           
## 68     4.297 0.1667 -1.863e-01                                1.759           
## 78     4.412 0.2385             1.0150000 -1.949              2.085           
## 1201   5.572                                     -2.060 2.060       -0.9794000
## 2119   5.289        -8.375e-01  0.7756000                     2.120           
## 433    5.527                                     -2.063 2.066       -0.9686000
## 179    5.523        -1.445e-02                   -2.061 2.064       -0.9682000
## 2092   5.925 1.0560 -1.032e+00            -2.219        2.588                 
## 2571   7.027        -1.217e+00            -1.876                              
## 322    4.183 0.1731                                           1.782           
## 323    4.384        -1.934e-01                                1.777           
## 333    4.590                    0.9986000 -1.957              2.114           
## 1193   5.306                              -2.136        2.248       -0.5731000
## 2322   6.842 0.9275                              -2.235                       
## 3141   5.285                    0.6593000                     2.261           
## 2594   3.985 1.0110                                     2.208                 
## 1069   4.691                    0.5174000 -2.131        2.301                 
## 3091   8.138        -8.430e-01                   -2.091                       
## 2181   5.932                    0.4833000                           -0.5887000
## 3217   8.046                                     -2.179             -0.8118000
## 3077   6.095                    0.4610000                                     
## 301    4.630                    0.5453000 -2.119        2.306                 
## 154    7.184 0.5916                       -1.772 -1.972             -1.2130000
## 3178   5.458 0.9171                       -2.427        2.388 2.142           
## 3139   6.164        -6.956e-01                                2.131           
## 2602   4.817 1.0320                       -2.176        2.565                 
## 2306   5.613 0.6754                                                           
## 3265   6.019                                                  2.205 -0.6606000
## 189    6.042                    0.2743000 -2.136 -2.073 2.432       -0.6907000
## 425    5.147                              -2.123        2.258       -0.5460000
## 541    5.980                    0.5700000 -1.806 -1.697                       
## 202    5.477 0.1907                       -1.961              1.993 -1.0240000
## 2581   6.573                    0.3181000        -2.015                       
## 203    5.638        -1.550e-01            -1.972              1.994 -0.9931000
## 1209   6.334                              -2.169 -2.092 2.444       -0.7588000
## 457    5.541                              -1.968              2.013 -1.0080000
## 2084   5.048 1.0370 -9.566e-01                          2.231                 
## 3138   5.600 0.5374                                           2.165           
## 2071   7.633        -9.396e-01  0.3336000        -2.048                       
## 187    6.253        -9.198e-02            -2.162 -2.087 2.446       -0.7311000
## 441    6.231                              -2.159 -2.098 2.454       -0.7375000
## 213    5.293                    0.8079000        -1.664       1.761 -1.1840000
## 1067   5.133        -3.828e-01            -2.191        2.327                 
## 2833   6.726                                     -2.049                       
## 2627   5.528        -8.829e-01                                1.885           
## 2433   6.147                                                        -0.6546000
## 299    5.115        -4.275e-01            -2.184        2.331                 
## 538    6.077 0.4725                       -1.847 -1.772                       
## 3633   6.256                                     -2.288 2.275                 
## 3114   5.781 1.1340                       -2.242        2.648                 
## 3329   6.358                                                                  
## 3649   5.518                                                  2.085           
## 3123   7.012        -6.896e-01                   -2.314 2.290                 
## 2603   6.018        -1.085e+00            -2.195        2.299                 
## 2118   4.497 0.5493             0.8306000                     2.156           
## 3147   7.201        -7.343e-01            -2.145              2.345           
## 2629   4.502                    0.7549000                     2.062           
## 3186   5.692 1.2550                              -2.362 2.385 1.668           
## 157    7.155                    0.4250000 -1.755 -1.885             -1.0710000
## 2595   5.123        -1.012e+00                          1.948                 
## 2323   7.783        -9.143e-01                   -2.083                       
## 2309   5.635                    0.5264000                                     
## 2365   7.185                   -0.1573000 -2.262 -2.428 2.718                 
## 539    6.470        -4.229e-01            -1.869 -1.691                       
## 2237   7.301                   -0.1473000 -2.249 -2.431 2.700       -0.1336000
## 2489   7.136                              -2.235 -2.414 2.679       -0.1182000
## 1321   5.018                              -2.187        2.352                 
## 2245   4.972                    0.7145000                     2.189 -0.5393000
## 1609   4.975                              -2.033              1.839           
## 587    4.964        -3.293e-01            -2.017              1.762           
## 1177   7.599                              -1.802 -1.913             -1.1770000
## 2116   5.613 0.4773 -8.430e-01                                2.002           
## 2243   5.915        -7.496e-01                                2.049 -0.5141000
## 2683   6.824        -6.689e-01            -2.399 -2.177 2.447 1.802           
## 155    7.529        -2.322e-01            -1.796 -1.896             -1.1290000
## 2737   6.033                                     -2.292 2.225       -0.3355000
## 2449   7.502                                     -2.173             -0.7934000
## 2197   7.442                    0.2289000        -2.148             -0.7601000
## 586    4.738 0.1269                       -2.007              1.797           
## 3146   6.622 0.4912                       -2.125              2.385           
## 55     4.714        -1.491e-01  0.6045000        -1.933 2.149                 
## 841    4.819                              -2.011              1.813           
## 309    4.706                    0.6076000        -1.950 2.166                 
## 409    7.395                              -1.787 -1.919             -1.1530000
## 2227   6.826        -7.347e-01                   -2.317 2.252       -0.2606000
## 1561   6.363                              -1.862 -1.731                       
## 1077   4.624                    0.5980000        -1.950 2.162                 
## 3106   4.852 1.1020                                     2.284                 
## 793    6.313                              -1.855 -1.734                       
## 2175   6.864        -6.507e-01  0.0999700 -2.399 -2.186 2.451 1.871           
## 3393   5.760                                                  2.206           
## 721    5.556                                     -1.699       1.519 -1.2690000
## 2427   6.914        -6.443e-01            -2.408 -2.199 2.462 1.860           
## 3162   7.844 0.7404                       -2.124 -2.062       2.190           
## 2299   6.937        -6.480e-01            -2.407 -2.199 2.462 1.860 -0.0085150
## 2103   6.658        -7.805e-01  0.1263000        -2.291 2.280                 
## 3149   6.428                    0.4588000 -2.094              2.458           
## 2613   5.801                    0.1145000        -2.266 2.268                 
## 3273   6.952                              -2.103              2.419 -0.4853000
## 2355   6.707        -7.695e-01                   -2.306 2.290                 
## 2865   5.844                                     -2.280 2.276                 
## 63     5.685        -1.881e-01  0.3884000 -2.190 -1.996 2.522                 
## 3249   6.847                                     -2.370 2.263       -0.3997000
## 317    5.649                    0.3865000 -2.186 -2.017 2.541                 
## 1085   5.665                    0.3634000 -2.194 -2.014 2.535                 
## 2753   5.203                                                  1.986 -0.5969000
## 3657   6.572                              -2.120              2.323           
## 3093   7.559                    0.2193000        -2.116                       
## 2373   4.721                    0.7640000                     2.196           
## 2242   5.288 0.4964                                           2.075 -0.6618000
## 3154   6.823 0.7866                              -2.063       1.970           
## 3345   7.658                                     -2.139                       
## 2371   5.741        -8.236e-01                                2.043           
## 2626   4.800 0.4685                                           1.940           
## 645    4.575                    0.7081000                           -0.8471000
## 210    5.700 0.4440                              -1.786       1.600 -1.3810000
## 3377   6.642                                     -2.357 2.328                 
## 3125   6.655                    0.0101500        -2.356 2.329                 
## 2086   4.128 1.0900             0.4906000               2.251                 
## 1083   5.925        -1.256e-01            -2.235 -2.028 2.563                 
## 2587   8.266        -1.057e+00            -1.893 -2.005                       
## 1337   5.931                              -2.235 -2.041 2.576                 
## 315    5.919        -1.646e-01            -2.229 -2.029 2.567                 
## 2127   6.306        -9.033e-01  0.6102000 -2.037              2.289           
## 2076   8.469 0.8618 -1.008e+00            -1.883 -2.190                       
## 3179   6.226        -6.411e-01            -2.428        2.172 2.166           
## 3401   6.783                              -2.135              2.424           
## 2156   5.347 0.8410 -8.086e-01            -2.370        2.358 1.965           
## 3281   7.339                                     -2.011       2.033 -0.7905000
## 2635   6.477        -9.453e-01            -2.069              2.089           
## 1233   6.009                                     -1.732       1.672 -1.3660000
## 3289   8.268                              -2.099 -2.007       2.248 -0.6153000
## 2497   5.387                                                  2.115 -0.6369000
## 3163   8.364        -6.026e-01            -2.148 -1.947       2.194           
## 307    5.023        -1.026e-01                   -1.982 2.208                 
## 2881   4.926                                                  1.981           
## 1075   4.984        -9.473e-02                   -1.982 2.205                 
## 1329   4.983                                     -1.992 2.214                 
## 2210   4.555 1.0480                                     2.236       -0.2893000
## 3593   6.750                              -1.875                              
## 621    3.540                    0.7569000 -2.227        2.045 1.754           
## 2570   6.037 0.5934                       -1.825                              
## 2164   5.530 1.1850 -5.830e-01                   -2.325 2.366 1.536           
## 2586   7.374 0.8398                       -1.844 -2.161                       
## 211    5.810         1.147e-01                   -1.752       1.667 -1.3480000
## 3098   8.424 0.9392                       -1.900 -2.261                       
## 2809   6.462                              -2.379 -2.220 2.462 1.869 -0.1039000
## 2937   6.382                              -2.389 -2.217 2.477 1.869           
## 2685   6.353                    0.0900700 -2.380 -2.205 2.469 1.878           
## 2338   4.326 1.0620                                     2.277                 
## 465    5.846                                     -1.741       1.652 -1.3380000
## 2325   7.032                    0.2899000        -2.105                       
## 2094   5.076 1.0890             0.2667000 -2.165        2.618                 
## 2258   6.569 0.7548                              -2.100       1.873 -0.8108000
## 3625   5.800                              -2.206        2.356                 
## 3617   4.840                                            2.000                 
## 2553   6.519                              -2.385 -2.237 2.468 1.913 -0.1177000
## 2124   6.560 0.4209 -9.093e-01            -2.073              2.195           
## 2060   7.346 0.6175 -1.172e+00            -1.870                              
## 2301   6.502                    0.0832900 -2.379 -2.226 2.464 1.923 -0.1066000
## 2429   6.420                    0.0795200 -2.388 -2.224 2.480 1.922           
## 2481   6.373                                     -2.366 2.270       -0.3811000
## 519    4.336        -6.323e-01  0.8774000                                     
## 613    2.645                    0.9503000               1.686 1.596           
## 2346   5.146 1.0810                       -2.191        2.633                 
## 2370   4.960 0.4888                                           2.076           
## 1099   5.391        -1.540e-01            -2.060              1.991           
## 1098   5.268 0.1257                       -2.056              1.999           
## 3115   6.818        -9.407e-01            -2.243        2.377                 
## 110    3.404 0.5949             0.8575000 -2.238        2.191 1.831           
## 2229   6.385                    0.0707800        -2.358 2.271       -0.3703000
## 30     6.214 0.5761             0.6726000 -1.794 -1.822                       
## 1353   5.362                              -2.060              2.016           
## 642    4.784 0.4400                                                 -1.0190000
## 643    5.179        -4.857e-01                                      -0.9355000
## 597    4.302                    0.9625000        -1.511       1.608           
## 2218   5.264 1.0650                       -2.189        2.635       -0.0300500
## 2597   4.276                    0.3834000               1.972                 
## 229    3.340                    0.8878000               1.606 1.778 -0.7258000
## 3083   7.947        -1.071e+00            -1.914                              
## 2166   4.868 1.2150             0.4109000        -2.310 2.355 1.630           
## 518    3.798 0.4829             0.9052000                                     
## 2251   6.790        -8.490e-01            -2.062              2.234 -0.3216000
## 3689   5.705                              -2.409        2.181 2.161           
## 2290   5.340 1.1950                              -2.371 2.328 1.587 -0.4178000
## 2357   6.154                    0.0912300        -2.343 2.325                 
## 102    2.511 0.6227             1.0590000               1.839 1.684           
## 76     5.205 0.1063 -2.407e-01            -2.035              1.945           
## 3155   7.323        -5.640e-01                   -1.944       1.980           
## 331    5.265        -2.463e-01            -2.038              1.957           
## 3181   5.680                    0.2400000 -2.397        2.169 2.253           
## 2132   6.716 0.7188 -7.131e-01                   -2.021       1.821           
## 237    4.080                    0.7210000 -2.206        1.988 1.913 -0.5245000
## 330    5.059 0.1142                       -2.029              1.975           
## 2134   5.817 0.7679             0.6143000        -1.993       1.946           
## 2721   4.593                                            1.969       -0.2175000
## 2697   6.430                              -1.808                    -0.4244000
## 2379   6.672        -8.910e-01            -2.085              2.233           
## 2573   6.041                    0.3743000 -1.804                              
## 3107   5.845        -8.885e-01                          2.022                 
## 2674   5.029 1.1820                              -2.332 2.378 1.524           
## 3433   5.896                              -2.423        2.199 2.235           
## 2158   4.487 0.8776             0.4662000 -2.311        2.346 2.080           
## 3305   5.880                              -2.418        2.187 2.233 -0.0501600
## 3165   7.860                    0.2170000 -2.121 -1.952       2.275           
## 3673   7.918                              -2.132 -1.959       2.204           
## 3157   6.683                    0.4234000        -1.925       2.078           
## 2849   4.472                                            2.002                 
## 1665   5.068                                                        -0.9913000
## 2087   5.371        -9.747e-01  0.4023000               1.990                 
## 2418   5.061 1.2050                              -2.359 2.391 1.579           
## 897    4.984                                                        -0.9771000
## 2637   5.485                    0.5944000 -2.001              2.248           
## 31     6.691        -3.909e-01  0.6209000 -1.821 -1.743                       
## 2126   5.486 0.4780             0.6612000 -1.998              2.333           
## 2063   7.355        -1.176e+00  0.3941000 -1.848                              
## 3417   8.033                              -2.140 -1.976       2.256           
## 2666   4.623 0.8353                       -2.339        2.368 1.941           
## 3099   9.154        -9.048e-01            -1.933 -2.108                       
## 2202   8.091 0.9004                       -1.803 -2.283             -0.6927000
## 745    4.250                              -2.243        2.023 1.680 -0.5795000
## 3609   8.169                              -1.901 -2.080                       
## 618    3.649 0.5077                       -2.291        2.229 1.577           
## 3665   6.850                                     -1.947       1.964           
## 86     4.361 0.4505             1.0540000        -1.586       1.713           
## 2825   6.227                              -1.837                              
## 773    4.130                    0.8536000                                     
## 2187   7.675        -1.118e+00            -1.859                    -0.3133000
## 2140   7.658 0.6619 -7.796e-01            -2.068 -2.016       2.015           
## 1541   4.050                    0.8429000                                     
## 2259   7.120        -5.936e-01                   -1.976       1.894 -0.6671000
## 1133   3.928                    0.7649000 -2.265        2.071 1.914           
## 2095   6.374        -1.045e+00  0.1767000 -2.192        2.358                 
## 2219   6.436        -1.068e+00            -2.225        2.404        0.1590000
## 1053   6.611                    0.5807000 -1.820 -1.779                       
## 2253   5.863                    0.5697000 -1.992              2.363 -0.3886000
## 2347   6.466        -1.039e+00            -2.210        2.375                 
## 2211   5.637        -9.477e-01                          2.005       -0.1239000
## 2605   5.236                    0.1613000 -2.150        2.339                 
## 285    6.543                    0.5960000 -1.811 -1.782                       
## 737    3.574                                            1.643 1.506 -0.8069000
## 365    3.846                    0.8135000 -2.245        2.081 1.908           
## 111    3.875        -1.887e-01  0.8013000 -2.248        2.065 1.878           
## 2339   5.576        -9.620e-01                          2.023                 
## 2315   7.550        -1.157e+00            -1.882                              
## 2135   6.546        -7.139e-01  0.5511000        -1.876       1.950           
## 3409   7.004                                     -1.972       2.038           
## 2857   5.311                              -2.166        2.353                 
## 2729   5.318                              -2.170        2.363        0.0381000
## 2261   6.432                    0.4625000        -1.956       1.997 -0.6998000
## 28     6.787 0.4724 -3.114e-01            -1.865 -1.829                       
## 2642   6.071 0.7116                              -2.022       1.791           
## 234    4.248 0.5328                       -2.256        2.150 1.754 -0.6710000
## 2410   4.721 0.8535                       -2.354        2.386 2.033           
## 2634   5.717 0.4126                       -2.036              2.152           
## 2667   5.571        -8.407e-01            -2.353        2.154 1.942           
## 1050   6.750 0.4954                       -1.867 -1.853                       
## 2282   4.817 0.8399                       -2.351        2.384 2.037 -0.0347300
## 2761   6.029                              -2.019              2.189 -0.4281000
## 2203   8.899        -9.299e-01            -1.864 -2.124             -0.4794000
## 2713   7.880                              -1.821 -2.099             -0.5742000
## 282    6.593 0.4936                       -1.854 -1.859                       
## 357    2.974                    1.0140000               1.723 1.765           
## 2769   6.593                                     -1.979       1.861 -0.7380000
## 2381   5.675                    0.5956000 -2.016              2.368           
## 2159   5.506        -8.080e-01  0.3950000 -2.333        2.136 2.096           
## 3082   7.129 0.6832                       -1.879                              
## 103    2.981        -1.603e-01  0.9989000               1.707 1.737           
## 2643   6.726        -7.452e-01                   -1.899       1.780           
## 2250   6.110 0.4337                       -2.017              2.271 -0.4860000
## 2266   7.380 0.6910                       -2.005 -2.089       2.069 -0.6353000
## 2386   6.154 0.7387                              -2.059       1.878           
## 341    4.635                    1.0170000        -1.549       1.767           
## 1641   4.094                              -2.312        2.119 1.669           
## 1125   2.951                    0.9814000               1.713 1.761           
## 1109   4.621                    0.9926000        -1.547       1.764           
## 87     4.616        -8.323e-02  1.0050000        -1.542       1.751           
## 1257   4.765                              -2.282        2.028 1.851 -0.6826000
## 619    4.050        -2.166e-01            -2.295        2.113 1.613           
## 226    3.586 0.5498                                     1.774 1.591 -0.9066000
## 221    6.107                    0.6825000 -1.913 -1.664       1.916 -1.0610000
## 3225   8.940                              -1.869 -2.191             -0.6577000
## 873    3.992                              -2.293        2.130 1.647           
## 2513   6.703                                     -2.011       1.943 -0.7668000
## 2889   5.821                              -2.048              2.189           
## 2330   7.712 0.8945                       -1.851 -2.250                       
## 1051   7.080        -3.095e-01            -1.881 -1.787                       
## 2079   8.673        -1.017e+00  0.1611000 -1.884 -2.080                       
## 516    4.555 0.3388 -5.498e-01                                                
## 2331   8.714        -9.958e-01            -1.898 -2.098                       
## 283    7.017        -3.373e-01            -1.874 -1.789                       
## 2267   7.985        -6.933e-01            -2.052 -1.967       2.080 -0.4748000
## 2078   7.690 0.8902             0.2369000 -1.828 -2.225                       
## 2378   5.853 0.4325                       -2.051              2.273           
## 2283   5.727        -8.250e-01            -2.380        2.201 2.054  0.1114000
## 610    2.822 0.5144                                     1.880 1.384           
## 2645   5.912                    0.5358000        -1.881       1.919           
## 2142   6.824 0.6978             0.4418000 -2.013 -2.009       2.123           
## 2411   5.746        -8.036e-01            -2.370        2.180 2.056           
## 2505   6.189                              -2.032              2.307 -0.4632000
## 2651   7.682        -8.073e-01            -2.075 -1.905       1.983           
## 1130   4.107 0.5119                       -2.338        2.257 1.752           
## 134    4.883 0.5533             0.7957000                           -0.9891000
## 2143   7.586        -7.790e-01  0.3817000 -2.056 -1.897       2.119           
## 2387   6.876        -6.931e-01                   -1.939       1.890           
## 1305   6.963                              -1.874 -1.815                       
## 729    6.315                              -1.944 -1.689       1.703 -1.1250000
## 235    4.579        -8.916e-02            -2.262        2.043 1.812 -0.6334000
## 489    4.557                              -2.261        2.048 1.825 -0.6386000
## 3109   5.156                    0.3017000               2.041                 
## 2841   7.596                              -1.860 -2.070                       
## 2589   7.557                    0.1479000 -1.846 -2.053                       
## 3233   5.494                                            2.017       -0.2938000
## 771    4.790        -5.829e-01                                                
## 1539   4.699        -5.864e-01                                                
## 2650   6.992 0.6560                       -2.039 -2.026       2.002           
## 3209   7.549                              -1.854                    -0.5184000
## 250    5.218 0.7831                       -2.271 -2.008 2.413 1.487 -0.8575000
## 3117   6.270                    0.0413800 -2.221        2.418                 
## 3241   6.315                              -2.223        2.416       -0.0348400
## 3369   6.292                              -2.226        2.421                 
## 3170   4.491 0.9035                                     2.022 1.933           
## 1249   4.034                                            1.650 1.680 -0.9062000
## 3361   5.339                                            2.065                 
## 2394   7.045 0.6823                       -2.049 -2.057       2.076           
## 108    3.994 0.4968 -1.197e-01            -2.317        2.257 1.716           
## 135    5.364        -4.692e-01  0.7619000                           -0.9063000
## 2389   6.069                    0.5288000        -1.914       2.009           
## 362    3.946 0.4984                       -2.315        2.265 1.732           
## 2395   7.808        -7.604e-01            -2.086 -1.940       2.080           
## 481    3.895                                            1.667 1.663 -0.8744000
## 227    3.893        -2.920e-02                          1.664 1.658 -0.8734000
## 1241   6.825                              -1.982 -1.715       1.857 -1.2270000
## 2186   6.767 0.6390                       -1.795                    -0.5342000
## 1538   4.332 0.3633                                                           
## 770    4.301 0.3608                                                           
## 3132   7.443 1.4730 -6.831e-01            -2.329 -2.564 2.980                 
## 594    4.720 0.3378                              -1.615       1.422           
## 2062   6.288 0.6656             0.4598000 -1.790                              
## 218    6.462 0.3742                       -1.942 -1.766       1.783 -1.2260000
## 611    3.208        -1.836e-01                          1.764 1.425           
## 3085   7.173                    0.2674000 -1.862                              
## 2669   4.789                    0.3813000 -2.304        2.148 2.069           
## 1633   3.180                                            1.770 1.462           
## 865    3.167                                            1.779 1.454           
## 126    4.330 0.8043             0.6960000 -2.283 -1.889 2.481 1.554           
## 3353   8.639                              -1.911 -2.159                       
## 2213   4.867                    0.3657000               2.006       -0.2295000
## 2897   6.227                                     -1.940       1.858           
## 1385   4.470                              -2.341        2.158 1.825           
## 3101   8.694                    0.0159800 -1.910 -2.157                       
## 2269   7.338                    0.3150000 -2.005 -1.969       2.171 -0.5491000
## 1157   5.277                    0.7073000                           -0.9681000
## 2777   7.419                              -2.019 -1.980       2.065 -0.5691000
## 3337   7.315                              -1.888                              
## 1131   4.412        -5.737e-02            -2.339        2.149 1.811           
## 2341   4.725                    0.3756000               2.040                 
## 389    5.181                    0.7244000                           -0.9507000
## 1617   4.916                                     -1.581       1.473           
## 595    4.905        -1.015e-01                   -1.576       1.449           
## 849    4.887                                     -1.585       1.465           
## 1793   4.528                                                                  
## 3187   6.389        -4.550e-01                   -2.163 2.081 1.764           
## 2314   6.467 0.6411                       -1.832                              
## 2521   7.500                              -2.027 -2.007       2.135 -0.5932000
## 3313   6.339                                     -2.201 2.031 1.815 -0.4230000
## 2465   5.034                                            2.023       -0.2761000
## 2150   3.525 0.8955             0.6887000               1.977 1.919           
## 3642   6.782 1.4630                       -2.304 -2.553 2.972                 
## 219    6.581         4.865e-02            -1.955 -1.733       1.835 -1.1920000
## 473    6.589                              -1.956 -1.729       1.828 -1.1880000
## 363    4.337        -1.541e-01            -2.319        2.157 1.780           
## 2921   4.999                              -2.339        2.188 2.029           
## 2148   4.469 0.8406 -7.494e-01                          2.001 1.783           
## 2793   5.027                              -2.339        2.191 2.028  0.0011060
## 2413   4.946                    0.3853000 -2.318        2.168 2.165           
## 2285   4.955                    0.3947000 -2.319        2.173 2.167  0.0200800
## 2653   6.929                    0.3699000 -2.028 -1.908       2.105           
## 2457   8.290                              -1.824 -2.184             -0.6396000
## 2620   6.707 1.3700 -8.540e-01            -2.272 -2.469 2.898                 
## 634    4.539 0.7358                       -2.326 -1.908 2.515 1.346           
## 3189   5.979                    0.2125000        -2.161 2.079 1.832           
## 3697   6.033                                     -2.171 2.091 1.764           
## 605    5.229                    0.8168000 -1.954 -1.526       1.777           
## 132    5.567 0.4396 -3.740e-01                                      -1.0960000
## 2205   8.343                    0.0768200 -1.817 -2.175             -0.6284000
## 253    5.234                    0.5127000 -2.237 -1.863 2.203 1.669 -0.7179000
## 2189   6.797                    0.3373000 -1.783                    -0.4573000
## 3441   6.159                                     -2.187 2.103 1.811           
## 761    5.349                              -2.263 -1.880 2.228 1.493 -0.7551000
## 1154   5.536 0.4696                                                 -1.1540000
## 1122   3.223 0.5134                                     1.909 1.565           
## 2397   7.051                    0.3555000 -2.040 -1.938       2.181           
## 8      4.614 0.4799 -5.352e-01  0.9737000                                     
## 2905   7.134                              -2.058 -1.951       2.067           
## 2441   6.923                              -1.810                    -0.5012000
## 100    3.166 0.5043 -7.754e-02                          1.910 1.544           
## 386    5.326 0.4662                                                 -1.1320000
## 2537   5.179                              -2.351        2.204 2.126 -0.0252000
## 354    3.137 0.5051                                     1.916 1.554           
## 2349   5.663                    0.1474000 -2.167        2.407                 
## 2221   5.703                    0.1645000 -2.166        2.411        0.0025820
## 2473   5.751                              -2.180        2.418       -0.0175900
## 2658   3.756 0.8340                                     2.008 1.734           
## 3134   7.229 1.4820            -0.1763000 -2.338 -2.628 3.040                 
## 3258   7.154 1.4960                       -2.303 -2.615 2.992       -0.1682000
## 2317   6.556                    0.3583000 -1.813                              
## 3386   7.023 1.4990                       -2.317 -2.610 3.019                 
## 1155   5.854        -3.598e-01                                      -1.0710000
## 3171   5.237        -6.137e-01                          1.810 1.958           
## 387    5.756        -3.914e-01                                      -1.0550000
## 1273   5.767                              -2.294 -1.904 2.233 1.623 -0.8381000
## 637    4.574                    0.5900000 -2.274 -1.773 2.284 1.544           
## 242    4.543 0.7981                              -1.992 2.031 1.325 -1.0930000
## 3173   4.533                    0.5030000               1.786 2.069           
## 1106   5.133 0.3351                              -1.652       1.594           
## 1146   4.912 0.7418                       -2.363 -1.934 2.542 1.483           
## 1409   5.707                                                        -1.1080000
## 2151   4.507        -7.510e-01  0.6179000               1.763 1.940           
## 338    5.037 0.3305                              -1.659       1.582           
## 94     5.304 0.3752             0.8964000 -1.954 -1.592       1.880           
## 84     5.050 0.3289 -3.514e-03                   -1.659       1.583           
## 2167   5.794        -5.972e-01  0.3383000        -2.117 2.057 1.719           
## 263    4.961        -5.722e-01  0.9236000                                     
## 2675   5.872        -6.196e-01                   -2.128 2.074 1.599           
## 1031   4.867        -5.724e-01  0.9176000                                     
## 1030   4.404 0.4985             0.9360000                                     
## 262    4.374 0.4964             0.9430000                                     
## 251    5.518         1.444e-01            -2.273 -1.929 2.255 1.616 -0.8178000
## 2333   8.000                    0.1136000 -1.856 -2.142                       
## 2274   4.101 0.8425                                     1.981 1.853 -0.3110000
## 1377   3.563                                            1.807 1.635           
## 124    4.717 0.7400  1.120e-01            -2.344 -1.955 2.556 1.477           
## 505    5.620                              -2.277 -1.916 2.253 1.601 -0.8022000
## 1123   3.527        -5.286e-02                          1.801 1.624           
## 3681   4.677                                            1.815 1.922           
## 378    4.804 0.7314                       -2.346 -1.945 2.550 1.467           
## 2291   6.124        -5.416e-01                   -2.171 2.047 1.685 -0.3072000
## 355    3.504        -1.100e-01                          1.808 1.608           
## 1361   5.288                                     -1.622       1.636           
## 1107   5.254         2.899e-02                   -1.624       1.638           
## 2402   3.885 0.8538                                     2.028 1.846           
## 2659   4.664        -7.885e-01                          1.795 1.740           
## 1117   5.622                    0.8273000 -1.986 -1.554       1.933           
## 339    5.195        -1.800e-02                   -1.628       1.621           
## 658    5.856 0.6132                              -1.881             -1.2570000
## 2364   6.933 1.4160 -7.991e-01            -2.283 -2.544 2.959                 
## 3297   5.034                                            1.777 2.028 -0.3283000
## 245    4.462                    0.6859000        -1.828 1.810 1.536 -0.9183000
## 2419   5.994        -5.855e-01                   -2.159 2.094 1.678           
## 95     5.549        -1.248e-01  0.8574000 -1.971 -1.550       1.906           
## 349    5.538                    0.8648000 -1.968 -1.561       1.926           
## 118    3.395 0.8270             0.9055000        -1.839 2.114 1.412           
## 2112   7.027 1.4020 -8.203e-01 -0.0073290 -2.285 -2.542 2.963                 
## 2236   7.024 1.4030 -8.194e-01            -2.283 -2.541 2.961       -0.0065370
## 1149   4.895                    0.5959000 -2.305 -1.798 2.309 1.670           
## 661    5.755                    0.5533000        -1.781             -1.0850000
## 381    4.857                    0.6375000 -2.289 -1.806 2.319 1.667           
## 3425   4.904                                            1.834 2.024           
## 2293   5.603                    0.2941000        -2.166 2.032 1.766 -0.3580000
## 2801   5.675                                     -2.178 2.046 1.669 -0.3765000
## 2661   3.805                    0.5990000               1.773 1.891           
## 2677   5.282                    0.3252000        -2.125 2.071 1.702           
## 127    4.771         2.727e-02  0.6138000 -2.290 -1.808 2.315 1.662           
## 1285   4.711                    0.8732000                                     
## 1657   5.024                              -2.340 -1.817 2.348 1.472           
## 2545   5.769                                     -2.203 2.054 1.730 -0.3966000
## 753    4.654                                     -1.858 1.842 1.320 -0.9824000
## 889    4.974                              -2.327 -1.826 2.359 1.455           
## 3196   6.947 1.2670 -4.505e-01            -2.478 -2.384 2.744 1.832           
## 2421   5.398                    0.3216000        -2.151 2.085 1.766           
## 635    4.908         6.467e-03            -2.326 -1.825 2.353 1.454           
## 2929   5.465                                     -2.165 2.104 1.662           
## 602    5.609 0.2784                       -2.005 -1.614       1.626           
## 2874   6.114 1.4030                       -2.252 -2.531 2.949                 
## 2275   4.938        -7.176e-01                          1.794 1.879 -0.1854000
## 1625   5.865                              -2.032 -1.579       1.683           
## 709    3.879                    0.9491000                     1.797 -0.9123000
## 2403   4.861        -7.428e-01                          1.823 1.874           
## 2746   6.242 1.3880                       -2.242 -2.531 2.934       -0.1067000
## 2622   6.210 1.3850            -0.0190000 -2.254 -2.529 2.955                 
## 2277   4.119                    0.5921000               1.759 2.007 -0.2286000
## 603    5.795        -1.479e-01            -2.017 -1.575       1.640           
## 857    5.751                              -2.014 -1.588       1.662           
## 550    2.684 0.7984             0.8163000               2.016                 
## 659    6.181        -2.329e-01                   -1.800             -1.1690000
## 2405   4.000                    0.6108000               1.795 2.007           
## 629    3.628                    0.7928000        -1.716 1.911 1.389           
## 3322   6.771 1.2780                       -2.459 -2.415 2.736 1.876 -0.1692000
## 1681   6.163                                     -1.824             -1.2020000
## 913    6.104                                     -1.826             -1.1920000
## 653    5.386                    0.5758000 -1.737                    -0.7339000
## 3450   6.688 1.2770                       -2.474 -2.409 2.765 1.875           
## 3706   6.689 1.2750                       -2.473 -2.407 2.764 1.871           
## 3198   6.700 1.2760             0.0004669 -2.474 -2.409 2.766 1.876           
## 2785   4.280                                            1.786 1.828 -0.2689000
## 527    5.269        -6.929e-01  0.7264000 -1.796                              
## 1265   5.026                                     -1.890 1.852 1.453 -1.0620000
## 1401   5.367                              -2.365 -1.851 2.385 1.596           
## 651    5.975        -5.708e-01            -1.803                    -0.7856000
## 243    4.823         2.031e-01                   -1.917 1.873 1.463 -1.0580000
## 1147   5.220         1.423e-01            -2.363 -1.862 2.386 1.608           
## 626    3.681 0.7378                              -1.868 2.155 1.155           
## 2913   4.132                                            1.829 1.822           
## 150    5.973 0.7095             0.6455000        -1.924             -1.2400000
## 497    4.943                                     -1.898 1.866 1.440 -1.0380000
## 379    5.164         5.730e-02            -2.346 -1.868 2.394 1.581           
## 674    3.524 0.7351                                     1.953       -0.7360000
## 1028   5.160 0.3546 -4.519e-01                                                
## 260    5.112 0.3543 -4.609e-01                                                
## 650    5.553 0.3962                       -1.770                    -0.8745000
## 2490   6.454 1.4380                       -2.250 -2.600 2.978       -0.1467000
## 198    3.991 0.3709             1.0240000                     1.925 -1.0040000
## 2366   6.433 1.4320            -0.0578200 -2.269 -2.601 3.009                 
## 1114   6.076 0.2796                       -2.047 -1.642       1.797           
## 2529   4.459                                            1.800 1.942 -0.3016000
## 526    4.720 0.4289             0.7457000 -1.763                              
## 2238   6.597 1.4160            -0.0363100 -2.254 -2.601 2.989       -0.1473000
## 534    4.725 0.6108             0.8092000        -1.712                       
## 1673   5.888                              -1.793                    -0.8604000
## 2612   5.761 1.3410 -7.844e-01                   -2.407 2.520                 
## 1283   5.339        -4.735e-01                                                
## 1221   4.322                    0.9528000                     1.971 -1.0090000
## 677    3.590                    0.6322000               1.787       -0.5765000
## 1369   6.227                              -2.055 -1.616       1.833           
## 1115   6.186         1.020e-02            -2.054 -1.617       1.832           
## 1282   4.938 0.3807                                                           
## 373    3.939                    0.8472000        -1.753 1.947 1.528           
## 199    4.248        -1.629e-01  0.9910000                     1.939 -0.9633000
## 92     5.949 0.2678 -5.876e-02            -2.026 -1.649       1.769           
## 905    5.734                              -1.780                    -0.8365000
## 346    5.908 0.2713                       -2.025 -1.654       1.775           
## 453    4.212                    0.9934000                     1.964 -0.9742000
## 3124   6.422 1.4320 -6.354e-01                   -2.502 2.596                 
## 119    3.836         5.012e-02  0.8203000        -1.757 1.944 1.525           
## 1141   3.876                    0.8205000        -1.751 1.939 1.521           
## 3634   5.755 1.4170                              -2.480 2.582                 
## 551    3.431        -4.918e-01  0.7482000               1.834                 
## 347    6.073        -7.127e-02            -2.034 -1.623       1.801           
## 2564   5.852 0.6285 -1.136e+00                                                
## 781    5.015                    0.6972000 -1.775                              
## 1549   5.029                    0.6760000 -1.783                              
## 1170   6.526 0.6455                              -1.966             -1.3790000
## 582    3.181 0.3221             1.1260000                     1.738           
## 548    3.310 0.6746 -3.885e-01                          2.028                 
## 583    3.513        -3.385e-01  1.0990000                     1.720           
## 116    3.868 0.7436  1.510e-01                   -1.924 2.200 1.306           
## 402    6.346 0.6441                              -1.970             -1.3620000
## 1138   4.007 0.7399                              -1.905 2.185 1.297           
## 524    5.465 0.3017 -6.257e-01            -1.851                              
## 148    6.455 0.6296 -1.036e-01                   -1.959             -1.3470000
## 370    3.970 0.7340                              -1.910 2.191 1.291           
## 535    5.195        -4.132e-01  0.7560000        -1.625                       
## 3250   6.289 1.4590                              -2.559 2.566       -0.4333000
## 837    3.429                    1.1090000                     1.776           
## 805    3.288                    0.7374000               1.877                 
## 2567   5.778        -1.142e+00  0.5480000                                     
## 1605   3.393                    1.0790000                     1.774           
## 1573   3.170                    0.7223000               1.871                 
## 151    6.391        -2.077e-01  0.5784000        -1.846             -1.1610000
## 779    5.683        -6.571e-01            -1.857                              
## 675    4.103        -3.815e-01                          1.797       -0.6584000
## 1547   5.641        -6.341e-01            -1.859                              
## 558    3.587 0.7894             0.6108000 -2.101        2.370                 
## 1173   6.396                    0.5462000        -1.867             -1.1970000
## 802    3.142 0.6915                                     2.060                 
## 1570   3.132 0.6964                                     2.058                 
## 405    6.321                    0.5589000        -1.869             -1.1840000
## 690    4.555 0.9632                              -2.082 2.193       -0.9644000
## 881    4.116                                     -1.785 1.998 1.264           
## 789    5.103                    0.7424000        -1.668                       
## 1649   4.081                                     -1.782 1.990 1.267           
## 627    4.038         3.533e-02                   -1.788 1.994 1.267           
## 1557   5.002                    0.7359000        -1.670                       
## 166    3.569 0.8476             0.7468000               1.997       -0.6983000
## 1729   4.631                                                  1.694 -1.1100000
## 3378   6.016 1.4590                              -2.545 2.633                 
## 706    4.356 0.2665                                           1.642 -1.1020000
## 3126   6.009 1.4570             0.1075000        -2.533 2.628                 
## 2228   6.194 1.3810 -7.000e-01                   -2.497 2.542       -0.2939000
## 929    3.972                                            1.822       -0.6841000
## 1697   3.985                                            1.815       -0.6956000
## 698    5.260 0.9721                       -2.154 -2.120 2.582       -0.7372000
## 2104   5.940 1.3940 -7.540e-01  0.2369000        -2.460 2.567                 
## 2738   5.471 1.3630                              -2.476 2.516       -0.3675000
## 2691   6.217        -1.067e+00                                      -0.3995000
## 707    4.549        -1.783e-01                                1.643 -1.0620000
## 2356   6.001 1.3890 -7.253e-01                   -2.487 2.584                 
## 3587   6.313        -1.075e+00                                                
## 961    4.477                                                  1.671 -1.0780000
## 682    4.198 0.7399                       -2.115        2.331       -0.5089000
## 2614   5.150 1.3730             0.2235000        -2.438 2.555                 
## 1546   5.264 0.3342                       -1.841                              
## 2866   5.219 1.3720                              -2.464 2.570                 
## 556    4.163 0.6890 -4.497e-01            -2.171        2.378                 
## 778    5.162 0.3277                       -1.830                              
## 2819   6.106        -1.135e+00                                                
## 532    5.326 0.4896 -3.199e-01                   -1.721                       
## 1171   6.807        -1.078e-01                   -1.899             -1.2970000
## 1425   6.750                                     -1.910             -1.3100000
## 403    6.700        -1.375e-01                   -1.900             -1.2810000
## 1801   5.455                              -1.846                              
## 803    3.823        -4.565e-01                          1.900                 
## 1571   3.699        -4.534e-01                          1.895                 
## 1554   5.202 0.5057                              -1.755                       
## 786    5.196 0.5052                              -1.755                       
## 566    3.598 0.9858             0.6949000        -1.958 2.280                 
## 574    4.564 0.9833             0.4782000 -2.171 -2.028 2.655                 
## 40     3.335 0.8069 -3.729e-01  0.8690000               2.067                 
## 1578   4.024 0.7193                       -2.171        2.411                 
## 2684   6.347 1.1860 -6.572e-01            -2.403 -2.346 2.720 1.667           
## 182    4.615 1.0540             0.5755000        -2.120 2.232       -0.9406000
## 810    3.960 0.7090                       -2.161        2.413                 
## 2176   6.311 1.2030 -6.422e-01  0.1791000 -2.394 -2.345 2.716 1.735           
## 72     3.601 0.3092 -2.488e-01  1.1820000                     1.887           
## 559    4.353        -5.360e-01  0.5455000 -2.114        2.188                 
## 2428   6.367 1.2020 -6.220e-01            -2.411 -2.368 2.733 1.715           
## 2580   7.035 0.8667 -9.694e-01                   -2.087                       
## 2300   6.452 1.1920 -6.346e-01            -2.408 -2.367 2.730 1.717 -0.0331700
## 1094   3.550 0.3176             1.1580000                     1.924           
## 326    3.527 0.3075             1.1860000                     1.925           
## 142    5.719 0.4940             0.6573000 -1.719                    -0.8731000
## 2482   5.698 1.4140                              -2.548 2.561       -0.4109000
## 1139   4.313         1.438e-01                   -1.833 2.030 1.423           
## 1393   4.437                                     -1.822 2.027 1.408           
## 143    6.212        -5.399e-01  0.6339000 -1.754                    -0.7855000
## 371    4.308         9.831e-02                   -1.836 2.036 1.410           
## 294    3.180 0.8200             0.8532000               2.098                 
## 1062   3.168 0.8240             0.8422000               2.095                 
## 327    3.857        -2.834e-01  1.1670000                     1.921           
## 2566   4.777 0.6920             0.6123000                                     
## 1825   3.596                                            1.929                 
## 2230   5.683 1.4080             0.1817000        -2.527 2.557       -0.3844000
## 1555   5.528        -3.706e-01                   -1.679                       
## 787    5.610        -3.629e-01                   -1.678                       
## 1218   4.884 0.2750                                           1.831 -1.2170000
## 1095   3.805        -2.340e-01  1.1350000                     1.922           
## 1349   3.802                    1.1370000                     1.963           
## 3643   7.660        -7.848e-01            -2.287 -2.300 2.603                 
## 685    4.350                    0.4581000 -2.075        2.166       -0.3840000
## 2690   5.395 0.6533                                                 -0.6119000
## 3586   5.559 0.6767                                                           
## 2358   5.405 1.4200             0.1907000        -2.514 2.613                 
## 164    4.160 0.7465 -2.485e-01                          2.002       -0.8061000
## 683    4.818        -4.603e-01            -2.128        2.172       -0.4236000
## 1473   5.010                                                  1.861 -1.1910000
## 1219   4.992         3.167e-03                                1.860 -1.1910000
## 1186   4.146 0.7688                                     2.011       -0.8460000
## 572    4.919 0.9162 -1.556e-01            -2.222 -2.040 2.677                 
## 1809   5.446                                     -1.715                       
## 1594   4.908 0.9304                       -2.225 -2.055 2.690                 
## 826    4.879 0.9221                       -2.219 -2.058 2.693                 
## 418    4.008 0.7639                                     2.015       -0.8270000
## 196    4.737 0.2566 -8.039e-02                                1.800 -1.1720000
## 450    4.666 0.2636                                           1.809 -1.1810000
## 1165   6.170                    0.5595000 -1.753                    -0.8683000
## 813    4.176                    0.5301000 -2.102        2.231                 
## 190    5.421 1.0420             0.3906000 -2.130 -2.169 2.622       -0.7464000
## 2056   6.004 0.7197 -1.099e+00  0.6381000                                     
## 1581   4.163                    0.5019000 -2.110        2.226                 
## 2706   6.803 0.9108                              -2.193             -0.7832000
## 167    4.267        -3.625e-01  0.6746000               1.828       -0.6312000
## 451    4.834        -8.617e-02                                1.826 -1.1490000
## 24     5.389 0.6174 -3.023e-01  0.8561000        -1.767                       
## 140    6.382 0.3914 -4.608e-01            -1.789                    -0.9428000
## 811    4.689        -5.201e-01            -2.168        2.247                 
## 397    5.983                    0.5892000 -1.737                    -0.8389000
## 1202   5.071 0.9974                              -2.160 2.248       -1.0570000
## 717    4.703                    0.8261000 -1.901              1.960 -0.7943000
## 1705   4.731                              -2.122        2.190       -0.4797000
## 1579   4.615        -4.848e-01            -2.169        2.241                 
## 3713   6.026                                                        -0.5964000
## 180    4.965 0.9962  6.732e-02                   -2.171 2.258       -1.0480000
## 434    4.974 0.9942                              -2.163 2.252       -1.0440000
## 1162   6.365 0.4302                       -1.789                    -1.0180000
## 1210   5.828 1.0100                       -2.175 -2.193 2.635       -0.8368000
## 937    4.652                              -2.114        2.200       -0.4564000
## 2693   5.332                    0.4802000                           -0.5128000
## 3218   7.772 1.0050                              -2.291             -0.8730000
## 1046   5.274 0.6296             0.8353000        -1.798                       
## 278    5.272 0.6288             0.8375000        -1.798                       
## 2938   5.866 1.2070                       -2.393 -2.389 2.751 1.730           
## 2430   5.836 1.2190             0.1468000 -2.385 -2.386 2.745 1.780           
## 16     5.573 0.4232 -5.978e-01  0.8158000 -1.785                              
## 1189   4.170                    0.6353000               1.845       -0.6728000
## 421    4.145                    0.6548000               1.852       -0.6576000
## 2554   5.992 1.2140                       -2.386 -2.407 2.736 1.764 -0.1418000
## 2686   5.822 1.2020             0.1698000 -2.377 -2.366 2.736 1.749           
## 2196   7.712 0.9299 -8.033e-01                   -2.225             -0.7118000
## 1163   6.696        -4.227e-01            -1.811                    -0.9318000
## 3076   6.693 0.6975 -9.979e-01                                                
## 3602   6.934 0.9295                              -2.163                       
## 3589   5.447                    0.4684000                                     
## 2810   6.000 1.1930                       -2.382 -2.390 2.733 1.732 -0.1283000
## 2302   5.958 1.2070             0.1615000 -2.373 -2.386 2.727 1.786 -0.1202000
## 2818   5.093 0.6440                                                           
## 693    4.770                    0.4551000        -1.942 1.981       -0.8065000
## 442    5.675 1.0020                       -2.163 -2.199 2.641       -0.8131000
## 188    5.694 0.9992 -1.002e-02            -2.163 -2.198 2.642       -0.8110000
## 2180   6.537 0.6740 -1.003e+00                                      -0.5241000
## 2604   5.498 1.0220 -1.073e+00            -2.204        2.508                 
## 564    4.027 0.8956 -1.005e-01                   -1.987 2.312                 
## 395    6.555        -4.768e-01            -1.799                    -0.9053000
## 394    6.093 0.4225                       -1.770                    -0.9877000
## 818    4.013 0.8981                              -1.999 2.323                 
## 1586   3.969 0.9013                              -1.999 2.321                 
## 3092   7.847 0.9483 -8.206e-01                   -2.195                       
## 2623   7.372        -8.837e-01 -0.1104000 -2.266 -2.296 2.608                 
## 2747   7.273        -8.994e-01            -2.262 -2.279 2.608        0.0767200
## 2875   7.307        -8.889e-01            -2.255 -2.283 2.596                 
## 666    6.626 0.5695                       -1.772 -1.883             -1.1120000
## 1833   4.514                              -2.165        2.277                 
## 3135   8.224        -7.248e-01 -0.2397000 -2.331 -2.399 2.690                 
## 174    4.331 0.8312             0.5704000 -2.076        2.372       -0.5036000
## 1417   6.532                              -1.799                    -0.9756000
## 2707   7.510        -8.746e-01                   -2.027             -0.5774000
## 271    5.882        -6.297e-01  0.7695000 -1.798                              
## 2945   5.594                                                        -0.5788000
## 2821   5.088                    0.5286000                                     
## 1039   5.858        -6.024e-01  0.7511000 -1.802                              
## 295    3.982        -4.415e-01  0.7918000               1.922                 
## 3387   8.073        -7.441e-01            -2.304 -2.370 2.664                 
## 3259   8.043        -7.365e-01            -2.302 -2.371 2.659       -0.0109500
## 48     4.258 0.7950 -4.198e-01  0.6633000 -2.124        2.419                 
## 1063   3.861        -4.346e-01  0.7797000               1.918                 
## 2596   4.610 1.0020 -1.000e+00                          2.150                 
## 3841   5.763                                                                  
## 2308   6.322 0.6673 -1.068e+00                                                
## 945    5.081                                     -1.982 2.012       -0.8865000
## 691    5.077        -9.301e-02                   -1.970 2.001       -0.8822000
## 2582   6.206 0.9112             0.4075000        -2.108                       
## 2072   7.234 0.9364 -9.353e-01  0.4255000        -2.140                       
## 1713   5.060                                     -1.980 2.006       -0.8934000
## 1229   5.231                    0.8096000 -1.939              2.134 -0.9014000
## 3645   7.496                   -0.2562000 -2.306 -2.384 2.681                 
## 2183   6.482        -1.026e+00  0.5128000                           -0.4168000
## 1038   5.402 0.4475             0.7620000 -1.781                              
## 580    3.987 0.1796 -2.776e-01                                1.552           
## 3079   6.599        -1.030e+00  0.4973000                                     
## 279    5.784        -3.469e-01  0.7879000        -1.719                       
## 3603   7.581        -9.029e-01                   -2.001                       
## 1047   5.701        -3.518e-01  0.7854000        -1.721                       
## 1603   4.119        -2.525e-01                                1.585           
## 669    6.586                    0.4182000 -1.755 -1.798             -0.9729000
## 835    4.123        -2.972e-01                                1.571           
## 3203   7.088        -9.162e-01                                      -0.5181000
## 270    5.284 0.4435             0.7801000 -1.768                              
## 1602   3.937 0.1921                                           1.606           
## 206    4.840 0.2900             0.8897000 -1.900              2.087 -0.8775000
## 3769   7.332                              -2.267 -2.357 2.633       -0.0987500
## 1060   3.790 0.7037 -2.941e-01                          2.118                 
## 292    3.776 0.6999 -3.099e-01                          2.119                 
## 3897   7.304                              -2.276 -2.354 2.652                 
## 2583   7.107        -9.835e-01  0.3343000        -1.955                       
## 834    3.866 0.1835                                           1.594           
## 1857   4.072                                                  1.631           
## 1070   4.152 0.8180             0.6184000 -2.128        2.449                 
## 701    5.580                    0.2719000 -2.127 -1.994 2.374       -0.6153000
## 1187   4.663        -2.727e-01                          1.861       -0.7677000
## 419    4.631        -3.030e-01                          1.866       -0.7534000
## 1317   3.770                    0.7519000               1.950                 
## 2834   6.393 0.8936                              -2.150                       
## 207    5.089        -2.166e-01  0.8685000 -1.918              2.088 -0.8357000
## 3202   6.417 0.7389                                                 -0.7117000
## 302    4.067 0.8112             0.6431000 -2.115        2.451                 
## 1086   5.041 1.0130             0.4818000 -2.194 -2.102 2.729                 
## 64     5.025 1.0030 -1.229e-01  0.5033000 -2.187 -2.091 2.718                 
## 56     4.052 1.0090 -8.353e-02  0.7197000        -2.028 2.348                 
## 310    4.050 1.0100             0.7225000        -2.038 2.358                 
## 1078   4.000 1.0130             0.7164000        -2.038 2.356                 
## 318    4.994 1.0070             0.5011000 -2.185 -2.105 2.731                 
## 591    4.445        -3.760e-01  0.9569000 -1.948              1.885           
## 1301   5.631                    0.7575000        -1.754                       
## 2324   7.409 0.9148 -8.974e-01                   -2.184                       
## 667    6.973        -3.184e-01            -1.799 -1.796             -1.0190000
## 172    4.870 0.7464 -3.286e-01            -2.135        2.378       -0.5693000
## 1194   4.878 0.7779                       -2.140        2.388       -0.6262000
## 1314   3.660 0.7215                                     2.139                 
## 699    5.814        -1.687e-01            -2.155 -1.998 2.384       -0.6476000
## 2311   6.341        -1.093e+00  0.5551000                                     
## 1441   4.584                                            1.874       -0.7927000
## 461    5.019                    0.8657000 -1.912              2.118 -0.8529000
## 1721   5.837                              -2.157 -2.015 2.390       -0.6774000
## 953    5.794                              -2.151 -2.018 2.400       -0.6585000
## 2450   7.139 0.9673                              -2.281             -0.8499000
## 2198   7.051 0.9682             0.3188000        -2.246             -0.8036000
## 1689   6.987                              -1.797 -1.828             -1.0710000
## 590    4.128 0.2466             0.9733000 -1.932              1.915           
## 2835   7.307        -9.697e-01                   -1.990                       
## 1613   4.402                    0.9197000 -1.959              1.955           
## 3729   7.505                                     -2.099             -0.7490000
## 1293   5.685                    0.7044000 -1.794                              
## 921    6.860                              -1.786 -1.832             -1.0510000
## 845    4.329                    0.9618000 -1.940              1.944           
## 1737   5.484                              -1.979              1.891 -0.9790000
## 426    4.681 0.7675                       -2.124        2.394       -0.5968000
## 3707   7.357        -4.917e-01            -2.462 -2.195 2.447 1.943           
## 3451   7.479        -4.902e-01            -2.469 -2.205 2.459 1.974           
## 3078   5.767 0.7571             0.5342000                                     
## 2435   6.746        -9.903e-01                                      -0.4922000
## 3331   6.924        -1.004e+00                                                
## 3323   7.436        -4.687e-01            -2.462 -2.208 2.444 1.973 -0.0625200
## 3199   7.457        -4.774e-01 -0.0516600 -2.473 -2.212 2.462 1.967           
## 2182   5.583 0.7349             0.5604000                           -0.6157000
## 3116   6.290 1.1150 -9.113e-01            -2.258        2.601                 
## 3626   5.328 1.0970                       -2.223        2.579                 
## 3094   7.200 0.9872             0.3034000        -2.215                       
## 567    4.289        -2.253e-01  0.5938000        -1.843 2.069                 
## 821    4.280                    0.5992000        -1.869 2.095                 
## 1589   4.134                    0.5883000        -1.871 2.090                 
## 3346   7.327 0.9769                              -2.246                       
## 3261   7.964                   -0.2908000 -2.309 -2.455 2.704       -0.1717000
## 715    5.346        -2.380e-01            -1.959              1.818 -0.9122000
## 714    5.151 0.1982                       -1.946              1.832 -0.9533000
## 575    5.270        -2.611e-01  0.3796000 -2.176 -1.910 2.442                 
## 1084   5.372 0.9544 -4.166e-02            -2.246 -2.127 2.762                 
## 2572   6.778 0.5933 -1.217e+00            -1.865                              
## 1338   5.377 0.9555                       -2.246 -2.131 2.767                 
## 276    5.835 0.5133 -2.266e-01                   -1.821                       
## 1044   5.888 0.5116 -2.237e-01                   -1.820                       
## 1036   6.112 0.3225 -5.034e-01            -1.865                              
## 2631   5.048        -8.813e-01  0.7535000                     1.966           
## 3389   7.860                   -0.2779000 -2.323 -2.448 2.732                 
## 3143   5.664        -7.176e-01  0.6777000                     2.184           
## 1068   4.685 0.7237 -3.286e-01            -2.198        2.469                 
## 2367   7.720        -8.381e-01 -0.1275000 -2.280 -2.374 2.672                 
## 2239   7.743        -8.486e-01 -0.1170000 -2.281 -2.372 2.675        0.0110900
## 829    5.234                    0.3801000 -2.170 -1.940 2.470                 
## 969    5.244                              -1.953              1.855 -0.9347000
## 268    6.023 0.3168 -5.380e-01            -1.856                              
## 3219   8.344        -7.174e-01                   -2.132             -0.6883000
## 316    5.313 0.9453 -8.340e-02            -2.237 -2.127 2.761                 
## 2491   7.638        -8.477e-01            -2.270 -2.358 2.662        0.0239700
## 3142   5.042 0.5977             0.7133000                     2.219           
## 1298   5.766 0.5283                              -1.841                       
## 2120   5.038 0.5575 -8.446e-01  0.8319000                     2.076           
## 300    4.628 0.7128 -3.759e-01            -2.188        2.469                 
## 1597   5.191                    0.3564000 -2.175 -1.939 2.464                 
## 3513   7.713                              -2.279 -2.420 2.677       -0.1365000
## 3325   7.291                   -0.0848100 -2.459 -2.246 2.459 2.012 -0.1528000
## 3577   7.253                              -2.452 -2.235 2.453 2.022 -0.1420000
## 3833   7.181                              -2.449 -2.230 2.447 2.006 -0.1386000
## 3618   4.376 1.0620                                     2.213                 
## 3180   5.819 0.9109 -6.295e-01            -2.433        2.363 2.077           
## 175    5.051        -4.248e-01  0.5037000 -2.094        2.205       -0.4302000
## 3961   7.154                              -2.462 -2.225 2.475 2.005           
## 3709   7.174                   -0.0688100 -2.468 -2.234 2.481 1.997           
## 2434   5.834 0.7035                                                 -0.6907000
## 3453   7.240                   -0.0620900 -2.471 -2.239 2.486 2.016           
## 2709   6.912                    0.2366000        -2.062             -0.6938000
## 3330   6.066 0.7209                                                           
## 1322   4.556 0.7419                       -2.194        2.492                 
## 1291   6.289        -5.252e-01            -1.871                              
## 3635   6.604        -7.410e-01                   -2.237 2.229                 
## 2961   7.021                                     -2.090             -0.7293000
## 827    5.536        -2.517e-01            -2.214 -1.940 2.488                 
## 3266   5.837 0.5672                                           2.160 -0.6913000
## 3269   5.544                    0.5903000                     2.253 -0.5779000
## 3205   6.368                    0.3880000                           -0.6178000
## 2310   5.257 0.7311             0.5985000                                     
## 542    5.673 0.5579             0.6460000 -1.789 -1.737                       
## 437    5.273                    0.4684000        -2.024 2.042       -0.8800000
## 183    5.264        -6.481e-02  0.4642000        -2.016 2.034       -0.8784000
## 1595   5.469        -2.197e-01            -2.215 -1.941 2.483                 
## 1205   5.269                    0.4532000        -2.023 2.037       -0.8902000
## 3140   5.981 0.5356 -6.938e-01                                2.089           
## 1849   5.480                              -2.215 -1.964 2.505                 
## 2598   3.686 1.0560             0.4829000               2.176                 
## 3651   5.896        -7.503e-01                                1.987           
## 3595   7.316        -1.136e+00            -1.902                              
## 1315   4.270        -3.541e-01                          1.984                 
## 158    6.822 0.6506             0.5050000 -1.732 -1.936             -1.1250000
## 3653   5.032                    0.6520000                     2.141           
## 1290   5.874 0.3503                       -1.853                              
## 2877   6.835                   -0.1426000 -2.248 -2.358 2.661                 
## 2749   6.909                   -0.1369000 -2.239 -2.360 2.648       -0.0919200
## 3267   6.309        -5.946e-01                                2.140 -0.5611000
## 1197   5.013                    0.4438000 -2.096        2.221       -0.4931000
## 3001   6.779                              -2.226 -2.344 2.632       -0.0773200
## 725    5.021                    0.7853000        -1.626       1.630 -1.1230000
## 2575   6.779        -1.220e+00  0.3828000 -1.843                              
## 303    4.890        -4.854e-01  0.5853000 -2.127        2.276                 
## 2247   5.415        -7.674e-01  0.7292000                     2.119 -0.4124000
## 3108   5.326 1.0840 -8.596e-01                          2.237                 
## 2588   7.975 0.8325 -1.050e+00            -1.878 -2.098                       
## 1226   5.739 0.2108                       -1.990              2.023 -1.0730000
## 2199   7.849        -8.313e-01  0.2595000        -2.091             -0.6164000
## 1071   4.847        -4.445e-01  0.5571000 -2.132        2.273                 
## 429    4.895                    0.4784000 -2.083        2.230       -0.4636000
## 3605   6.992                    0.2346000        -2.033                       
## 2739   6.425        -7.824e-01                   -2.235 2.196       -0.2064000
## 3457   6.597                                                        -0.6718000
## 214    5.063 0.5306             0.8639000        -1.712       1.705 -1.2260000
## 1299   6.123        -2.593e-01                   -1.777                       
## 2088   4.740 1.0830 -9.652e-01  0.5040000               2.197                 
## 1102   4.577 0.2447             0.9854000 -1.971              2.099           
## 2326   6.601 0.9584             0.3736000        -2.201                       
## 819    4.631        -1.937e-01                   -1.890 2.128                 
## 2615   6.265        -8.203e-01  0.1330000        -2.210 2.213                 
## 1587   4.511        -1.944e-01                   -1.891 2.124                 
## 3777   5.765                                                  2.093 -0.6276000
## 80     4.564 0.2325 -2.928e-01  1.0270000 -1.955              2.049           
## 1076   4.442 0.9288 -1.291e-02                   -2.078 2.397                 
## 1330   4.439 0.9295                              -2.080 2.398                 
## 2451   7.953        -7.982e-01                   -2.122             -0.6592000
## 308    4.426 0.9268 -2.274e-02                   -2.078 2.397                 
## 1481   5.857                              -1.997              2.048 -1.0520000
## 1103   4.800        -2.372e-01  0.9706000 -1.981              2.091           
## 1227   5.837        -3.101e-02            -1.997              2.041 -1.0490000
## 2096   5.744 1.0810 -1.036e+00  0.2783000 -2.191        2.564                 
## 543    6.151        -4.715e-01  0.6014000 -1.818 -1.648                       
## 2867   6.353        -8.181e-01                   -2.225 2.227                 
## 1841   4.516                                     -1.912 2.143                 
## 1357   4.799                    0.9731000 -1.981              2.133           
## 3857   7.143                                     -2.058                       
## 1092   4.372 0.1762 -1.283e-01                                1.779           
## 3282   7.139 0.8286                              -2.110       1.959 -0.8418000
## 2630   4.253 0.5467             0.8102000                     2.020           
## 3650   5.342 0.5318                                           2.044           
## 1195   5.420        -3.297e-01            -2.143        2.235       -0.5416000
## 335    4.773        -3.229e-01  1.0190000 -1.963              2.076           
## 1346   4.331 0.1788                                           1.798           
## 2699   7.079        -1.178e+00            -1.860                    -0.2237000
## 2628   5.346 0.4769 -8.888e-01                                1.843           
## 1347   4.485        -1.411e-01                                1.798           
## 1178   7.355 0.6060                       -1.789 -1.965             -1.2430000
## 3182   5.217 0.9385             0.3085000 -2.395        2.359 2.165           
## 3148   7.029 0.4892 -7.324e-01            -2.135              2.306           
## 334    4.456 0.2329             1.0270000 -1.948              2.090           
## 3095   7.942        -8.564e-01  0.2554000        -2.064                       
## 427    5.353        -3.865e-01            -2.136        2.242       -0.5154000
## 2220   5.885 1.0540 -1.055e+00            -2.233        2.613        0.1427000
## 2246   4.723 0.5664             0.7692000                     2.145 -0.5612000
## 324    4.296 0.1668 -1.861e-01                                1.759           
## 2348   5.860 1.0650 -1.016e+00            -2.218        2.585                 
## 1457   5.596                                     -2.060 2.062       -0.9787000
## 1203   5.569         1.002e-02                   -2.061 2.061       -0.9804000
## 2722   4.089 1.0140                                     2.170       -0.2344000
## 2375   5.295        -8.395e-01  0.7778000                     2.120           
## 3690   5.316 0.9115                       -2.415        2.373 2.076           
## 435    5.536        -1.810e-02                   -2.061 2.065       -0.9671000
## 2827   7.022        -1.216e+00            -1.876                              
## 3151   6.829        -7.490e-01  0.4773000 -2.103              2.378           
## 3627   6.319        -9.994e-01            -2.222        2.304                 
## 2606   4.646 1.0560             0.2608000 -2.150        2.543                 
## 2437   5.872                    0.4592000                           -0.5925000
## 2850   3.923 1.0230                                     2.205                 
## 1325   4.754                    0.5292000 -2.131        2.306                 
## 2755   5.650        -8.019e-01                                1.898 -0.4624000
## 1449   5.338                              -2.137        2.251       -0.5720000
## 3659   6.969        -7.797e-01            -2.128              2.223           
## 3397   5.305                    0.6642000                     2.263           
## 3473   7.972                                     -2.179             -0.8116000
## 156    7.263 0.5808 -1.911e-01            -1.780 -1.951             -1.1940000
## 3221   7.944                    0.1199000        -2.165             -0.7942000
## 3347   8.101        -8.367e-01                   -2.091                       
## 3290   8.072 0.7745                       -2.079 -2.099       2.176 -0.6648000
## 2757   4.724                    0.6992000                     2.060 -0.5036000
## 410    7.115 0.6006                       -1.772 -1.971             -1.2180000
## 3333   6.058                    0.4523000                                     
## 3314   5.896 1.2630                              -2.378 2.311 1.672 -0.4503000
## 2858   4.754 1.0440                       -2.176        2.562                 
## 1213   6.157                    0.2529000 -2.146 -2.070 2.427       -0.7114000
## 3306   5.483 0.9178                       -2.421        2.376 2.142 -0.0640200
## 540    6.244 0.4531 -3.950e-01            -1.860 -1.730                       
## 3434   5.459 0.9169                       -2.427        2.388 2.142           
## 191    6.086        -1.221e-01  0.2852000 -2.138 -2.059 2.424       -0.6785000
## 3395   6.173        -6.971e-01                                2.131           
## 2730   4.808 1.0320                       -2.178        2.569        0.0219800
## 3188   5.923 1.2470 -4.262e-01                   -2.339 2.364 1.626           
## 204    5.553 0.1859 -1.474e-01            -1.965              1.974 -1.0110000
## 445    6.069                    0.2831000 -2.135 -2.074 2.435       -0.6866000
## 3521   5.996                                                  2.203 -0.6606000
## 2599   4.900        -1.019e+00  0.3980000               1.913                 
## 3761   6.434                                     -2.302 2.217       -0.3573000
## 797    6.019                    0.5815000 -1.804 -1.697                       
## 2837   6.538                    0.3014000        -2.018                       
## 458    5.449 0.1948                       -1.961              1.991 -1.0260000
## 1565   6.010                    0.5649000 -1.809 -1.696                       
## 3275   7.285        -6.668e-01            -2.120              2.348 -0.3723000
## 2244   5.730 0.4985 -7.516e-01                                2.005 -0.5395000
## 459    5.626        -1.518e-01            -1.972              1.994 -0.9940000
## 1465   6.378                              -2.170 -2.092 2.448       -0.7574000
## 2212   5.093 1.0390 -9.341e-01                          2.209       -0.1409000
## 2340   4.978 1.0470 -9.400e-01                          2.229                 
## 1211   6.348        -4.412e-02            -2.170 -2.087 2.442       -0.7542000
## 1237   5.414                    0.7846000        -1.660       1.770 -1.2080000
## 3164   8.156 0.7352 -5.940e-01            -2.132 -2.033       2.128           
## 3619   5.327        -9.511e-01                          1.948                 
## 3394   5.552 0.5432                                           2.161           
## 3150   6.201 0.5353             0.5087000 -2.078              2.418           
## 2327   7.595        -9.274e-01  0.3204000        -2.050                       
## 3190   5.467 1.2700             0.2822000        -2.330 2.358 1.695           
## 3251   7.122        -6.393e-01                   -2.327 2.244       -0.2931000
## 3100   8.864 0.9232 -8.826e-01            -1.922 -2.209                       
## 443    6.278        -9.909e-02            -2.162 -2.087 2.449       -0.7287000
## 469    5.325                    0.8188000        -1.663       1.765 -1.1790000
## 215    5.276         4.625e-02  0.8046000        -1.669       1.766 -1.1890000
## 1323   5.197        -3.937e-01            -2.192        2.331                 
## 3274   6.781 0.5141                       -2.090              2.377 -0.5142000
## 1562   6.148 0.4776                       -1.855 -1.769                       
## 159    7.247        -2.775e-01  0.4487000 -1.764 -1.854             -1.0410000
## 2731   5.948        -1.122e+00            -2.216        2.338        0.2245000
## 2883   5.508        -8.771e-01                                1.886           
## 1181   7.307                    0.3957000 -1.770 -1.882             -1.0980000
## 3118   5.678 1.1440             0.1343000 -2.227        2.637                 
## 794    6.073 0.4731                       -1.847 -1.772                       
## 2607   5.913        -1.088e+00  0.1741000 -2.177        2.281                 
## 3637   6.235                    0.0271100        -2.285 2.273                 
## 3889   6.260                                     -2.288 2.276                 
## 3370   5.729 1.1390                       -2.241        2.645                 
## 3242   5.802 1.1340                       -2.237        2.639       -0.0527500
## 2374   4.452 0.5577             0.8142000                     2.152           
## 3698   5.608 1.2500                              -2.349 2.376 1.633           
## 3610   7.923 0.9070                       -1.890 -2.183                       
## 3905   5.513                                                  2.084           
## 2859   6.046        -1.093e+00            -2.195        2.301                 
## 3127   6.981        -6.922e-01  0.0432500        -2.309 2.286                 
## 3379   7.025        -6.918e-01                   -2.314 2.291                 
## 3403   7.227        -7.384e-01            -2.146              2.346           
## 3442   5.657 1.2590                              -2.363 2.384 1.665           
## 2885   4.492                    0.7506000                     2.061           
## 722    5.395 0.4456                              -1.743       1.466 -1.3140000
## 413    7.142                    0.4208000 -1.755 -1.885             -1.0730000
## 2851   5.147        -1.019e+00                          1.950                 
## 2723   5.142        -1.003e+00                          1.939       -0.0557500
## 3658   6.405 0.4870                       -2.110              2.285           
## 2754   5.020 0.4941                                           1.943 -0.6226000
## 1611   5.073        -2.606e-01            -2.034              1.795           
## 2493   7.249                   -0.1708000 -2.251 -2.434 2.694       -0.1384000
## 795    6.514        -4.360e-01            -1.869 -1.690                       
## 3110   4.567 1.1330             0.3943000               2.257                 
## 1563   6.481        -4.171e-01            -1.870 -1.691                       
## 1610   4.911 0.1371                       -2.029              1.823           
## 2501   4.942                    0.7015000                     2.186 -0.5414000
## 3277   6.608                    0.4097000 -2.070              2.450 -0.4307000
## 1865   5.034                              -2.034              1.842           
## 3156   7.111 0.7819 -5.552e-01                   -2.036       1.912           
## 588    4.905 0.1190 -3.257e-01            -2.013              1.749           
## 3661   6.213                    0.4543000 -2.079              2.358           
## 843    5.011        -3.431e-01            -2.017              1.762           
## 3158   6.412 0.8218             0.4868000        -2.013       2.011           
## 1179   7.645        -1.711e-01            -1.807 -1.896             -1.1580000
## 2639   6.079        -9.428e-01  0.5912000 -2.023              2.148           
## 646    4.290 0.5343             0.7762000                           -0.8855000
## 2372   5.531 0.4893 -8.240e-01                                2.000           
## 3785   6.738                              -2.091              2.326 -0.4592000
## 1433   7.578                              -1.802 -1.913             -1.1770000
## 3234   4.989 1.1060                                     2.231       -0.3129000
## 2453   7.370                    0.1978000        -2.152             -0.7653000
## 3226   8.666 0.9748                       -1.853 -2.300             -0.7184000
## 3594   6.523 0.6522                       -1.866                              
## 3611   8.608        -9.626e-01            -1.923 -2.020                       
## 2499   5.855        -7.343e-01                                2.048 -0.5170000
## 647    4.770        -5.543e-01  0.7508000                           -0.7921000
## 3166   7.597 0.7610             0.2778000 -2.099 -2.034       2.210           
## 2687   6.757        -6.699e-01  0.0959700 -2.390 -2.165 2.434 1.813           
## 411    7.497        -2.232e-01            -1.796 -1.896             -1.1320000
## 2993   6.001                                     -2.293 2.221       -0.3370000
## 2939   6.816        -6.666e-01            -2.399 -2.177 2.446 1.803           
## 2811   6.820        -6.708e-01            -2.400 -2.176 2.448 1.802  0.0108900
## 2741   5.976                    0.0807700        -2.283 2.218       -0.3251000
## 2128   6.079 0.4860 -9.089e-01  0.6607000 -2.020              2.249           
## 311    4.788        -1.727e-01  0.6236000        -1.931 2.153                 
## 1745   5.687                                     -1.693       1.539 -1.2950000
## 842    4.754 0.1246                       -2.007              1.798           
## 1079   4.676        -1.701e-01  0.6146000        -1.933 2.149                 
## 3402   6.589 0.4952                       -2.124              2.382           
## 3674   7.725 0.7363                       -2.117 -2.046       2.141           
## 2231   6.759        -7.396e-01  0.0998900        -2.305 2.244       -0.2471000
## 622    3.167 0.5974             0.8227000 -2.219        2.161 1.683           
## 1333   4.688                    0.6098000        -1.951 2.167                 
## 2483   6.794        -7.259e-01                   -2.317 2.249       -0.2628000
## 3362   4.784 1.1090                                     2.280                 
## 1817   6.390                              -1.862 -1.731                       
## 2204   8.584 0.8877 -9.134e-01            -1.844 -2.224             -0.5354000
## 2160   5.030 0.8792 -8.102e-01  0.4685000 -2.326        2.313 2.008           
## 2431   6.854        -6.474e-01  0.0962800 -2.399 -2.187 2.450 1.871           
## 2303   6.862        -6.513e-01  0.1003000 -2.399 -2.186 2.451 1.871  0.0037130
## 3418   7.794 0.7466                       -2.123 -2.063       2.186           
## 723    5.542         3.861e-02                   -1.702       1.525 -1.2730000
## 977    5.565                                     -1.699       1.519 -1.2680000
## 2555   6.917        -6.426e-01            -2.407 -2.200 2.460 1.860 -0.0099150
## 2668   5.166 0.8362 -8.419e-01            -2.354        2.331 1.854           
## 614    2.258 0.6251             1.0190000               1.809 1.523           
## 2359   6.641        -7.752e-01  0.1206000        -2.292 2.279                 
## 3405   6.446                    0.4634000 -2.094              2.460           
## 3084   7.694 0.6710 -1.061e+00            -1.905                              
## 2714   7.601 0.8710                       -1.802 -2.199             -0.6291000
## 319    5.750        -2.091e-01  0.4055000 -2.189 -1.995 2.525                 
## 2869   5.782                    0.1054000        -2.268 2.266                 
## 3529   6.942                              -2.103              2.419 -0.4853000
## 3666   6.653 0.7804                              -2.039       1.900           
## 1087   5.717        -1.717e-01  0.3801000 -2.194 -1.996 2.522                 
## 741    3.070                    0.8587000               1.587 1.626 -0.6657000
## 1341   5.732                    0.3758000 -2.195 -2.014 2.540                 
## 3505   6.826                                     -2.370 2.261       -0.3999000
## 3253   6.875                   -0.0348000        -2.374 2.266       -0.4043000
## 3009   5.145                                                  1.986 -0.5984000
## 2498   5.174 0.5164                                           2.069 -0.6637000
## 230    2.956 0.6468             0.9550000               1.729 1.703 -0.7509000
## 2636   6.311 0.4210 -9.502e-01            -2.057              2.050           
## 2715   8.376        -9.853e-01            -1.864 -2.031             -0.4014000
## 1234   5.855 0.4566                              -1.777       1.619 -1.4130000
## 3291   8.501        -5.048e-01            -2.112 -1.978       2.196 -0.5279000
## 3913   6.576                              -2.120              2.324           
## 3349   7.508                    0.2066000        -2.118                       
## 3283   7.534        -4.322e-01                   -1.986       1.988 -0.7166000
## 2882   4.719 0.4839                                           1.939           
## 2262   6.146 0.7958             0.5282000        -2.043       1.927 -0.7377000
## 3410   6.758 0.7947                              -2.064       1.965           
## 2260   6.896 0.7523 -5.894e-01                   -2.066       1.821 -0.7125000
## 3691   6.060        -6.760e-01            -2.412        2.153 2.076           
## 3285   7.049                    0.3290000        -1.972       2.064 -0.7419000
## 2136   6.255 0.7710 -7.183e-01  0.6192000        -1.958       1.882           
## 2214   4.239 1.0910             0.4679000               2.213       -0.2326000
## 238    3.712 0.6130             0.7854000 -2.196        2.104 1.842 -0.5491000
## 2255   6.373        -8.613e-01  0.5840000 -2.022              2.287 -0.2439000
## 901    4.608                    0.7191000                           -0.8420000
## 212    5.638 0.4497  1.380e-01                   -1.799       1.617 -1.3950000
## 3183   6.037        -6.503e-01  0.2587000 -2.401        2.143 2.186           
## 1669   4.608                    0.7022000                           -0.8534000
## 2342   4.064 1.1010             0.4687000               2.247                 
## 2080   8.282 0.8858 -1.012e+00  0.2502000 -1.860 -2.167                       
## 749    3.826                    0.6952000 -2.192        1.969 1.773 -0.4704000
## 2591   8.150        -1.060e+00  0.1623000 -1.879 -1.988                       
## 2168   5.239 1.2120 -5.888e-01  0.4176000        -2.277 2.324 1.582           
## 2574   5.726 0.6408             0.4460000 -1.785                              
## 466    5.668 0.4485                              -1.786       1.598 -1.3840000
## 2332   8.346 0.8801 -9.788e-01            -1.882 -2.194                       
## 3793   7.181                                     -1.990       1.971 -0.7705000
## 1339   5.987        -1.364e-01            -2.236 -2.028 2.567                 
## 3381   6.638                    0.0059720        -2.356 2.328                 
## 2064   7.019 0.6672 -1.177e+00  0.4685000 -1.829                              
## 2763   6.541        -8.966e-01            -2.049              2.094 -0.2752000
## 2843   8.241        -1.050e+00            -1.893 -2.006                       
## 2698   6.185 0.6130                       -1.794                    -0.4580000
## 3721   6.911                              -1.846                    -0.4446000
## 520    4.062 0.4631 -6.140e-01  0.9404000                                     
## 2383   6.301        -9.019e-01  0.6087000 -2.037              2.289           
## 3435   6.297        -6.527e-01            -2.430        2.176 2.169           
## 3307   6.207        -6.514e-01            -2.433        2.183 2.164  0.0594200
## 2412   5.296 0.8483 -7.965e-01            -2.369        2.356 1.964           
## 2284   5.320 0.8400 -8.251e-01            -2.380        2.376 1.964  0.1005000
## 3537   7.311                                     -2.011       2.031 -0.7905000
## 598    4.082 0.4543             1.0160000        -1.549       1.560           
## 2891   6.454        -9.388e-01            -2.069              2.089           
## 2676   5.397 1.1770 -6.079e-01                   -2.295 2.345 1.464           
## 3675   8.214        -6.307e-01            -2.138 -1.924       2.124           
## 1235   5.944         2.038e-01                   -1.749       1.700 -1.3890000
## 2770   6.379 0.7495                              -2.070       1.791 -0.7834000
## 2292   5.639 1.1900 -5.282e-01                   -2.339 2.315 1.542 -0.3319000
## 3801   8.158                              -2.093 -1.992       2.205 -0.6021000
## 644    4.977 0.4183 -4.613e-01                                      -0.9774000
## 3167   8.164        -6.117e-01  0.2360000 -2.127 -1.920       2.213           
## 3293   8.135                    0.1446000 -2.087 -1.990       2.260 -0.5949000
## 3597   6.534                    0.2760000 -1.848                              
## 1489   6.027                                     -1.732       1.673 -1.3650000
## 3545   8.252                              -2.099 -2.007       2.247 -0.6153000
## 2252   6.623 0.4352 -8.500e-01            -2.048              2.195 -0.3451000
## 2842   7.268 0.8612                       -1.845 -2.167                       
## 623    3.668        -2.586e-01  0.7686000 -2.229        2.030 1.718           
## 3621   4.623                    0.3134000               1.974                 
## 2466   4.447 1.0660                                     2.228       -0.2924000
## 2590   7.197 0.8623             0.2346000 -1.823 -2.140                       
## 2188   7.410 0.6319 -1.113e+00            -1.845                    -0.3476000
## 877    3.623                    0.7832000 -2.225        2.051 1.760           
## 32     6.366 0.5615 -3.632e-01  0.6953000 -1.804 -1.785                       
## 1645   3.667                    0.7367000 -2.242        2.043 1.769           
## 2514   6.442 0.7780                              -2.104       1.866 -0.8133000
## 2826   5.949 0.6101                       -1.825                              
## 2644   6.506 0.7139 -7.480e-01                   -1.982       1.712           
## 3354   8.311 0.9522                       -1.899 -2.263                       
## 3159   6.968        -5.818e-01  0.4420000        -1.894       2.019           
## 3419   8.377        -6.047e-01            -2.148 -1.947       2.195           
## 2420   5.448 1.1970 -5.633e-01                   -2.327 2.363 1.534           
## 1134   3.561 0.6003             0.8300000 -2.259        2.188 1.844           
## 1331   5.025        -1.018e-01                   -1.982 2.208                 
## 2350   5.002 1.1010             0.2405000 -2.167        2.614                 
## 3745   4.953                                            1.961       -0.2370000
## 869    2.737                    0.9788000               1.694 1.603           
## 3849   6.728                              -1.875                              
## 3065   6.427                              -2.379 -2.220 2.459 1.870 -0.1056000
## 3102   8.338 0.9472             0.0987800 -1.890 -2.252                       
## 2294   5.057 1.2180             0.3725000        -2.327 2.298 1.628 -0.3711000
## 2813   6.401                    0.0811000 -2.372 -2.209 2.454 1.879 -0.0945100
## 2941   6.331                    0.0785600 -2.381 -2.207 2.468 1.878           
## 775    4.445        -6.699e-01  0.9064000                                     
## 615    2.762        -2.373e-01  0.9612000               1.673 1.563           
## 746    3.962 0.5362                       -2.239        2.129 1.610 -0.6098000
## 467    5.786         1.213e-01                   -1.752       1.667 -1.3500000
## 2316   7.248 0.6316 -1.150e+00            -1.870                              
## 1543   4.240        -6.818e-01  0.9001000                                     
## 3737   8.407                              -1.862 -2.113             -0.5970000
## 2380   6.480 0.4325 -8.910e-01            -2.073              2.193           
## 2638   5.260 0.4761             0.6439000 -1.984              2.210           
## 3211   8.026        -1.009e+00            -1.890                    -0.3460000
## 3629   5.759                    0.0548900 -2.200        2.351                 
## 2222   5.076 1.0890             0.2666000 -2.165        2.618       -0.0006280
## 3881   5.823                              -2.206        2.358                 
## 3753   5.793                              -2.207        2.360        0.0175900
## 2557   6.471                    0.0686300 -2.379 -2.228 2.461 1.920 -0.1096000
## 3087   7.717        -1.083e+00  0.3031000 -1.885                              
## 112    3.496 0.5899 -1.677e-01  0.8654000 -2.240        2.181 1.811           
## 3873   4.850                                            2.001                 
## 1100   5.334 0.1208 -1.488e-01            -2.057              1.978           
## 366    3.467 0.5874             0.8745000 -2.238        2.194 1.838           
## 2485   6.341                    0.0511600        -2.360 2.266       -0.3745000
## 1054   6.295 0.5795             0.6579000 -1.804 -1.819                       
## 3667   7.130        -6.020e-01                   -1.914       1.888           
## 3243   6.778        -9.622e-01            -2.255        2.399        0.1263000
## 1355   5.440        -1.620e-01            -2.061              1.993           
## 1637   2.666                    0.9470000               1.686 1.598           
## 2678   4.748 1.2080             0.4051000        -2.287 2.339 1.572           
## 2474   5.158 1.0820                       -2.188        2.627       -0.0332100
## 1354   5.301 0.1223                       -2.056              2.002           
## 3119   6.763        -9.443e-01  0.0771000 -2.234        2.369                 
## 3371   6.856        -9.472e-01            -2.244        2.379                 
## 1666   4.876 0.4480                                                 -1.0370000
## 2646   5.627 0.7627             0.6034000        -1.963       1.855           
## 853    4.374                    0.9846000        -1.510       1.614           
## 286    6.206 0.5769             0.6707000 -1.794 -1.822                       
## 2670   4.320 0.8725             0.4546000 -2.298        2.325 1.986           
## 3227   9.289        -8.095e-01            -1.898 -2.138             -0.5160000
## 599    4.368        -1.596e-01  0.9703000        -1.496       1.586           
## 898    4.766 0.4427                                                 -1.0200000
## 1253   3.453                    0.8674000               1.597 1.787 -0.7490000
## 899    5.212        -4.958e-01                                      -0.9324000
## 1667   5.194        -4.782e-01                                      -0.9393000
## 2802   5.215 1.1890                              -2.348 2.314 1.531 -0.4011000
## 3693   5.527                    0.2382000 -2.384        2.155 2.181           
## 2725   4.363                    0.3665000               1.944       -0.1727000
## 485    3.398                    0.9082000               1.612 1.784 -0.7168000
## 1261   4.290                    0.6828000 -2.227        1.977 1.931 -0.5643000
## 1621   4.315                    0.9604000        -1.511       1.609           
## 2422   4.812 1.2260             0.3889000        -2.314 2.353 1.624           
## 2546   5.242 1.2120                              -2.373 2.322 1.582 -0.4208000
## 738    3.279 0.5533                                     1.753 1.434 -0.8378000
## 231    3.386        -9.671e-02  0.8940000               1.602 1.766 -0.7172000
## 2853   4.274                    0.3826000               1.971                 
## 2701   6.198                    0.3343000 -1.782                    -0.3817000
## 2268   7.771 0.6873 -6.884e-01            -2.030 -2.049       2.011 -0.5183000
## 3111   5.622        -9.051e-01  0.3374000               1.992                 
## 3339   7.931        -1.068e+00            -1.914                              
## 774    3.844 0.4775             0.9166000                                     
## 2263   6.756        -6.098e-01  0.4789000        -1.919       1.945 -0.5959000
## 2507   6.733        -8.342e-01            -2.061              2.234 -0.3245000
## 358    2.581 0.6145             1.0770000               1.842 1.692           
## 1542   3.780 0.4820             0.9082000                                     
## 2254   5.638 0.4914             0.6185000 -1.973              2.323 -0.4090000
## 2144   7.309 0.7005 -7.821e-01  0.4455000 -2.032 -1.971       2.055           
## 2388   6.611 0.7350 -6.879e-01                   -2.025       1.818           
## 3945   5.748                              -2.410        2.184 2.162           
## 104    2.587 0.6186 -1.383e-01  1.0650000               1.830 1.668           
## 3817   5.719                              -2.406        2.175 2.162 -0.0320800
## 1126   2.571 0.6249             1.0480000               1.836 1.689           
## 3669   6.503                    0.4217000        -1.901       2.003           
## 332    5.208 0.1058 -2.416e-01            -2.035              1.945           
## 2765   5.632                    0.5566000 -1.981              2.244 -0.3570000
## 3437   5.724                    0.2513000 -2.397        2.172 2.257           
## 3411   7.321        -5.636e-01                   -1.944       1.980           
## 3309   5.691                    0.2378000 -2.395        2.166 2.253 -0.0226400
## 493    4.136                    0.7406000 -2.206        1.995 1.920 -0.5159000
## 239    4.148        -1.429e-01  0.7299000 -2.208        1.983 1.896 -0.5115000
## 2390   5.751 0.7812             0.5886000        -1.999       1.939           
## 2652   7.471 0.6580 -8.094e-01            -2.057 -1.982       1.919           
## 2930   4.951 1.1970                              -2.336 2.375 1.524           
## 2771   6.917        -6.321e-01                   -1.939       1.795 -0.6291000
## 1769   4.461                              -2.263        2.010 1.711 -0.6183000
## 3677   7.730                    0.2166000 -2.112 -1.935       2.222           
## 2458   7.933 0.9278                       -1.804 -2.287             -0.6955000
## 2953   6.371                              -1.808                    -0.4258000
## 3235   5.899        -8.628e-01                          1.997       -0.1526000
## 2977   4.569                                            1.966       -0.2187000
## 2414   4.444 0.8853             0.4503000 -2.312        2.344 2.075           
## 2829   6.013                    0.3611000 -1.805                              
## 2647   6.345        -7.483e-01  0.5393000        -1.840       1.841           
## 3363   5.863        -8.915e-01                          2.023                 
## 2191   7.427        -1.130e+00  0.3658000 -1.831                    -0.2645000
## 3561   5.916                              -2.419        2.189 2.236 -0.0496300
## 2286   4.479 0.8775             0.4678000 -2.312        2.349 2.080  0.0167900
## 3421   7.860                    0.2169000 -2.121 -1.952       2.275           
## 1642   3.810 0.5164                       -2.311        2.225 1.601           
## 3929   7.910                              -2.132 -1.959       2.203           
## 1258   4.484 0.5478                       -2.279        2.135 1.782 -0.7159000
## 3413   6.684                    0.4236000        -1.925       2.078           
## 1921   5.079                                                        -0.9910000
## 2215   5.399        -9.629e-01  0.3950000               1.979       -0.0731900
## 2343   5.378        -9.771e-01  0.4049000               1.990                 
## 2382   5.431 0.4882             0.6409000 -2.000              2.328           
## 2893   5.464                    0.5848000 -2.002              2.247           
## 2922   4.562 0.8467                       -2.339        2.364 1.940           
## 3210   7.300 0.7074                       -1.842                    -0.5574000
## 287    6.727        -4.022e-01  0.6301000 -1.821 -1.742                       
## 733    5.848                    0.6620000 -1.903 -1.628       1.793 -1.0060000
## 1055   6.714        -3.793e-01  0.6151000 -1.824 -1.743                       
## 2762   5.863 0.4320                       -2.005              2.150 -0.4517000
## 2319   7.329        -1.168e+00  0.3855000 -1.849                              
## 2206   7.960 0.9151             0.1641000 -1.790 -2.267             -0.6715000
## 747    4.328        -1.652e-01            -2.247        2.017 1.655 -0.5645000
## 3103   9.111        -9.074e-01  0.0523500 -1.928 -2.102                       
## 3355   9.127        -9.004e-01            -1.933 -2.108                       
## 2794   4.627 0.8354                       -2.338        2.366 1.941 -0.0103500
## 2671   5.331        -8.411e-01  0.3820000 -2.318        2.112 1.983           
## 2773   6.243                    0.4561000        -1.926       1.913 -0.6733000
## 620    3.755 0.5010 -1.957e-01            -2.294        2.218 1.549           
## 1001   4.292                              -2.244        2.028 1.681 -0.5750000
## 1389   4.046                    0.7892000 -2.267        2.078 1.927           
## 3865   8.137                              -1.900 -2.081                       
## 2396   7.555 0.6777 -7.551e-01            -2.068 -2.020       2.012           
## 3613   8.142                    0.0320400 -1.898 -2.077                       
## 874    3.692 0.5019                       -2.291        2.232 1.579           
## 342    4.409 0.4444             1.0670000        -1.586       1.719           
## 1110   4.408 0.4525             1.0450000        -1.584       1.718           
## 3921   6.834                                     -1.947       1.964           
## 88     4.392 0.4486 -6.800e-02  1.0570000        -1.580       1.706           
## 2223   6.313        -1.075e+00  0.1933000 -2.208        2.388        0.1816000
## 2443   7.610        -1.101e+00            -1.859                    -0.3165000
## 2515   7.048        -5.746e-01                   -1.978       1.893 -0.6709000
## 1797   4.115                    0.8555000                                     
## 1135   3.979        -1.275e-01  0.7741000 -2.265        2.065 1.898           
## 222    5.904 0.4493             0.7312000 -1.893 -1.704       1.867 -1.0990000
## 367    3.974        -2.202e-01  0.8281000 -2.247        2.070 1.883           
## 1761   3.700                                            1.633 1.525 -0.8319000
## 2351   6.373        -1.044e+00  0.1761000 -2.192        2.358                 
## 2270   7.067 0.7211             0.3765000 -1.978 -2.048       2.105 -0.5855000
## 2475   6.423        -1.065e+00            -2.225        2.403        0.1581000
## 2898   5.973 0.7316                              -2.027       1.789           
## 2509   5.824                    0.5523000 -1.993              2.359 -0.3913000
## 1309   6.632                    0.5846000 -1.820 -1.779                       
## 254    4.788 0.8366             0.5905000 -2.226 -1.954 2.371 1.560 -0.7609000
## 739    3.626        -1.120e-01                          1.639 1.489 -0.7970000
## 993    3.612                                            1.648 1.507 -0.8030000
## 2467   5.615        -9.416e-01                          2.003       -0.1254000
## 2733   5.209                    0.1663000 -2.155        2.349        0.0566800
## 2861   5.224                    0.1558000 -2.151        2.338                 
## 1052   6.848 0.4800 -2.745e-01            -1.873 -1.828                       
## 2517   6.388                    0.4421000        -1.959       1.992 -0.7032000
## 3086   6.854 0.7143             0.3382000 -1.846                              
## 2890   5.634 0.4286                       -2.036              2.151           
## 2391   6.528        -7.084e-01  0.5449000        -1.878       1.949           
## 2985   5.295                              -2.170        2.360        0.0370200
## 2778   7.214 0.6868                       -1.998 -2.063       1.998 -0.6126000
## 284    6.753 0.4764 -3.030e-01            -1.864 -1.829                       
## 236    4.283 0.5303 -6.414e-02            -2.257        2.148 1.746 -0.6656000
## 490    4.256 0.5317                       -2.256        2.151 1.755 -0.6703000
## 2538   4.736 0.8539                       -2.350        2.379 2.033 -0.0372000
## 2795   5.526        -8.654e-01            -2.367        2.180 1.938  0.1465000
## 2522   7.252 0.7143                       -2.005 -2.092       2.062 -0.6378000
## 3017   5.967                              -2.019              2.190 -0.4296000
## 2923   5.580        -8.434e-01            -2.353        2.155 1.942           
## 2969   7.811                              -1.822 -2.101             -0.5760000
## 3174   4.069 0.9437             0.5717000               1.976 1.981           
## 1245   6.320                    0.6419000 -1.936 -1.657       1.934 -1.1010000
## 2459   8.821        -9.092e-01            -1.864 -2.126             -0.4834000
## 1306   6.714 0.4987                       -1.866 -1.853                       
## 2506   5.996 0.4537                       -2.017              2.265 -0.4880000
## 359    3.086        -1.937e-01  1.0270000               1.713 1.743           
## 2207   8.819        -9.344e-01  0.1080000 -1.855 -2.112             -0.4640000
## 3025   6.526                                     -1.981       1.862 -0.7398000
## 2717   7.815                    0.0847300 -1.814 -2.090             -0.5627000
## 1381   3.060                    1.0040000               1.720 1.773           
## 1250   3.747 0.5605                                     1.760 1.609 -0.9399000
## 3338   7.029 0.6945                       -1.878                              
## 2287   5.453        -8.340e-01  0.4093000 -2.347        2.163 2.094  0.1584000
## 1897   4.194                              -2.314        2.126 1.674           
## 3172   4.835 0.8976 -6.022e-01                          1.997 1.870           
## 1643   4.154        -1.513e-01            -2.311        2.112 1.644           
## 2899   6.687        -7.339e-01                   -1.900       1.781           
## 762    4.983 0.7811                       -2.258 -1.972 2.392 1.382 -0.8078000
## 2415   5.521        -8.125e-01  0.4000000 -2.333        2.137 2.096           
## 1127   3.008        -1.429e-01  0.9917000               1.707 1.743           
## 1365   4.701                    1.0090000        -1.546       1.773           
## 343    4.689        -1.065e-01  1.0250000        -1.540       1.755           
## 2779   7.802        -7.270e-01            -2.044 -1.934       1.991 -0.4419000
## 1111   4.643        -6.562e-02  0.9975000        -1.541       1.756           
## 2655   7.406        -8.086e-01  0.3723000 -2.046 -1.865       2.023           
## 2271   7.723        -7.034e-01  0.3321000 -2.029 -1.927       2.113 -0.4275000
## 875    4.131        -2.407e-01            -2.296        2.119 1.612           
## 1513   4.841                              -2.285        2.034 1.856 -0.6803000
## 136    5.063 0.5368 -4.447e-01  0.8283000                           -0.9462000
## 3644   7.135 1.4390 -7.238e-01            -2.315 -2.500 2.923                 
## 2654   6.658 0.6936             0.4333000 -2.004 -1.983       2.045           
## 1259   4.758         1.744e-02            -2.282        2.029 1.854 -0.6844000
## 730    6.174 0.3761                       -1.930 -1.727       1.657 -1.1640000
## 2334   7.578 0.9109             0.1954000 -1.833 -2.232                       
## 3481   8.871                              -1.868 -2.191             -0.6576000
## 228    3.588 0.5497 -3.390e-03                          1.773 1.591 -0.9063000
## 482    3.585 0.5499                                     1.773 1.591 -0.9066000
## 477    6.132                    0.6911000 -1.912 -1.663       1.919 -1.0580000
## 223    6.111        -8.063e-03  0.6831000 -1.913 -1.663       1.915 -1.0600000
## 3229   8.996                   -0.0636800 -1.875 -2.198             -0.6666000
## 2152   4.024 0.8971 -7.534e-01  0.6922000               1.945 1.851           
## 1753   6.528                              -1.967 -1.680       1.736 -1.1630000
## 638    4.121 0.8027             0.6706000 -2.266 -1.856 2.452 1.439           
## 1274   5.409 0.7941                       -2.290 -1.996 2.398 1.511 -0.8940000
## 2398   6.749 0.7129             0.4121000 -2.016 -2.015       2.115           
## 2335   8.623        -1.001e+00  0.1437000 -1.886 -2.083                       
## 3682   4.293 0.8956                                     2.003 1.838           
## 2523   7.915        -6.748e-01            -2.052 -1.968       2.079 -0.4785000
## 1307   7.083        -3.100e-01            -1.881 -1.787                       
## 772    4.599 0.3332 -5.622e-01                                                
## 1540   4.529 0.3357 -5.649e-01                                                
## 612    2.910 0.5089 -1.624e-01                          1.870 1.360           
## 1634   2.895 0.5185                                     1.877 1.394           
## 866    2.864 0.5089                                     1.883 1.385           
## 2901   5.886                    0.5231000        -1.883       1.918           
## 2539   5.716        -8.222e-01            -2.380        2.200 2.054  0.1107000
## 1158   4.986 0.5592             0.7759000                           -1.0100000
## 3237   5.290                    0.2744000               2.000       -0.2587000
## 2907   7.641        -7.952e-01            -2.075 -1.907       1.985           
## 1386   4.175 0.5052                       -2.340        2.261 1.758           
## 3298   4.640 0.9078                                     1.964 1.937 -0.3425000
## 1132   4.121 0.5106 -3.040e-02            -2.338        2.256 1.748           
## 2399   7.558        -7.699e-01  0.3715000 -2.057 -1.899       2.117           
## 390    4.865 0.5555             0.7909000                           -0.9913000
## 2906   6.891 0.6766                       -2.040 -2.031       2.001           
## 1242   6.687 0.3907                       -1.968 -1.754       1.811 -1.2680000
## 2190   6.463 0.6804             0.4103000 -1.762                    -0.4839000
## 2845   7.513                    0.1256000 -1.849 -2.057                       
## 731    6.324        -2.264e-02            -1.945 -1.687       1.700 -1.1230000
## 985    6.322                              -1.944 -1.689       1.703 -1.1250000
## 491    4.614        -9.901e-02            -2.263        2.046 1.812 -0.6301000
## 3213   7.375                    0.2123000 -1.835                    -0.4903000
## 3365   5.152                    0.3006000               2.041                 
## 252    5.123 0.7930  1.936e-01            -2.267 -2.027 2.423 1.508 -0.8754000
## 3489   5.469                                            2.015       -0.2941000
## 1795   4.756        -5.973e-01                                                
## 3465   7.482                              -1.853                    -0.5183000
## 246    4.004 0.8671             0.7655000        -1.922 1.987 1.423 -0.9618000
## 506    5.229 0.7815                       -2.271 -2.008 2.414 1.487 -0.8566000
## 3245   6.285                    0.0384600 -2.219        2.413       -0.0303700
## 3373   6.265                    0.0401300 -2.221        2.418                 
## 3497   6.306                              -2.223        2.415       -0.0349700
## 2660   4.260 0.8349 -7.897e-01                          1.972 1.652           
## 3426   4.471 0.9059                                     2.021 1.932           
## 1505   4.085                                            1.654 1.684 -0.9048000
## 2442   6.621 0.6636                       -1.796                    -0.5365000
## 1251   4.016         4.658e-02                          1.651 1.687 -0.9110000
## 364    4.028 0.4929 -1.281e-01            -2.317        2.259 1.717           
## 391    5.394        -4.794e-01  0.7706000                           -0.9021000
## 1159   5.388        -4.577e-01  0.7557000                           -0.9126000
## 2662   3.330 0.8892             0.6731000               1.954 1.806           
## 2318   6.195 0.6815             0.4272000 -1.794                              
## 1243   6.770         1.677e-01            -1.979 -1.729       1.881 -1.2460000
## 3136   7.559 1.4640 -6.752e-01 -0.1461000 -2.345 -2.580 2.995                 
## 2781   7.173                    0.3100000 -1.998 -1.944       2.098 -0.5270000
## 483    3.915        -3.530e-02                          1.666 1.659 -0.8714000
## 1497   6.857                              -1.982 -1.715       1.860 -1.2260000
## 1618   4.779 0.3416                              -1.612       1.431           
## 1150   4.446 0.8076             0.6756000 -2.298 -1.882 2.478 1.565           
## 1794   4.339 0.3626                                                           
## 596    4.760 0.3350 -8.786e-02                   -1.607       1.410           
## 3260   7.460 1.4740 -6.739e-01            -2.324 -2.567 2.971       -0.0529200
## 3388   7.414 1.4760 -6.783e-01            -2.328 -2.565 2.979                 
## 850    4.736 0.3355                              -1.615       1.423           
## 867    3.285        -2.064e-01                          1.769 1.424           
## 3315   6.519        -3.923e-01                   -2.178 2.024 1.774 -0.3571000
## 220    6.430 0.3771  6.870e-02            -1.940 -1.773       1.791 -1.2330000
## 474    6.433 0.3784                       -1.942 -1.767       1.781 -1.2280000
## 1889   3.260                                            1.775 1.466           
## 1635   3.243        -1.603e-01                          1.762 1.436           
## 3341   7.132                    0.2573000 -1.863                              
## 382    4.389 0.7971             0.7122000 -2.282 -1.889 2.484 1.561           
## 2797   4.768                    0.3851000 -2.308        2.156 2.069  0.0433700
## 2925   4.783                    0.3785000 -2.304        2.148 2.069           
## 128    4.297 0.8070  6.657e-02  0.6923000 -2.282 -1.896 2.486 1.561           
## 765    5.017                    0.4965000 -2.226 -1.830 2.184 1.564 -0.6725000
## 3033   7.348                              -2.020 -1.982       2.065 -0.5710000
## 2469   4.835                    0.3520000               2.002       -0.2324000
## 2525   7.286                    0.2900000 -2.007 -1.973       2.165 -0.5532000
## 3357   8.638                    0.0017650 -1.911 -2.159                       
## 1387   4.506        -7.297e-02            -2.341        2.155 1.815           
## 3699   6.267        -4.809e-01                   -2.141 2.067 1.705           
## 3191   6.216        -4.656e-01  0.2298000        -2.135 2.056 1.787           
## 1413   5.287                    0.7094000                           -0.9676000
## 1873   4.962                                     -1.581       1.475           
## 1619   4.941        -7.651e-02                   -1.575       1.460           
## 851    4.944        -1.130e-01                   -1.575       1.449           
## 3825   6.237                                     -2.186 2.024 1.774 -0.4108000
## 3317   6.198                    0.1679000        -2.180 2.016 1.832 -0.4009000
## 606    5.037 0.3793             0.8627000 -1.939 -1.557       1.736           
## 2278   3.636 0.8960             0.6661000               1.940 1.919 -0.2312000
## 3443   6.426        -4.613e-01                   -2.163 2.084 1.766           
## 3646   6.920 1.4530            -0.1637000 -2.323 -2.571 2.989                 
## 3569   6.352                                     -2.201 2.032 1.815 -0.4229000
## 3770   6.844 1.4660                       -2.292 -2.558 2.949       -0.1361000
## 2276   4.530 0.8426 -7.177e-01                          1.969 1.788 -0.1963000
## 2406   3.491 0.9015             0.6764000               1.976 1.916           
## 3898   6.746 1.4680                       -2.304 -2.554 2.971                 
## 754    4.284 0.7959                              -1.952 2.010 1.207 -1.0360000
## 475    6.561         5.405e-02            -1.955 -1.734       1.834 -1.1940000
## 3175   4.879        -6.329e-01  0.5216000               1.760 2.004           
## 2404   4.411 0.8489 -7.357e-01                          1.999 1.782           
## 1658   4.658 0.7415                       -2.341 -1.900 2.511 1.366           
## 3049   4.999                              -2.339        2.188 2.029 -0.0002307
## 2541   4.938                    0.3870000 -2.320        2.171 2.165  0.0185600
## 1277   5.408                    0.4811000 -2.255 -1.856 2.193 1.684 -0.7509000
## 2909   6.893                    0.3515000 -2.030 -1.912       2.104           
## 3701   5.868                    0.2125000        -2.145 2.068 1.785           
## 2876   6.655 1.3790 -8.399e-01            -2.272 -2.472 2.897                 
## 2461   8.262                    0.0406400 -1.821 -2.180             -0.6341000
## 1785   5.519                              -2.279 -1.872 2.216 1.520 -0.7864000
## 890    4.583 0.7298                       -2.326 -1.908 2.518 1.348           
## 2748   6.694 1.3700 -8.607e-01            -2.276 -2.467 2.905        0.0397700
## 1629   5.335                    0.7996000 -1.968 -1.521       1.791           
## 607    5.311        -1.960e-01  0.8261000 -1.957 -1.508       1.751           
## 2624   6.709 1.3700 -8.539e-01 -0.0029970 -2.272 -2.469 2.898                 
## 3683   5.023        -6.609e-01                          1.787 1.839           
## 636    4.515 0.7380  4.784e-02            -2.325 -1.913 2.519 1.352           
## 1156   5.646 0.4511 -3.265e-01                                      -1.1190000
## 861    5.288                    0.8358000 -1.952 -1.525       1.782           
## 2663   4.309        -7.904e-01  0.6010000               1.737 1.809           
## 3445   6.003                    0.2189000        -2.161 2.080 1.835           
## 2445   6.728                    0.3083000 -1.786                    -0.4616000
## 662    5.425 0.6864             0.6359000        -1.836             -1.1420000
## 3953   6.053                                     -2.170 2.093 1.764           
## 388    5.515 0.4462 -3.604e-01                                      -1.1000000
## 509    5.287                    0.5318000 -2.237 -1.863 2.209 1.675 -0.7095000
## 255    5.193         1.004e-01  0.5053000 -2.236 -1.873 2.208 1.680 -0.7281000
## 1017   5.396                              -2.264 -1.880 2.234 1.494 -0.7501000
## 630    3.166 0.8250             0.8749000        -1.802 2.084 1.282           
## 763    5.314         8.363e-02            -2.262 -1.888 2.232 1.505 -0.7634000
## 1410   5.479 0.4750                                                 -1.1550000
## 1378   3.266 0.5091                                     1.911 1.568           
## 1124   3.235 0.5123 -2.580e-02                          1.907 1.561           
## 264    4.661 0.4750 -5.492e-01  0.9842000                                     
## 3685   4.327                    0.4985000               1.768 1.969           
## 1032   4.589 0.4779 -5.493e-01  0.9802000                                     
## 2786   3.879 0.8371                                     1.961 1.740 -0.2803000
## 356    3.190 0.5015 -8.356e-02                          1.911 1.544           
## 2477   5.664                    0.1473000 -2.167        2.407       -0.0008763
## 3262   7.325 1.4840            -0.1956000 -2.323 -2.636 3.008       -0.1916000
## 757    4.224                    0.6667000        -1.791 1.792 1.420 -0.8665000
## 2914   3.695 0.8454                                     2.005 1.734           
## 3390   7.168 1.4890            -0.1904000 -2.338 -2.630 3.037                 
## 3299   5.318        -5.734e-01                          1.771 1.966 -0.2334000
## 3514   7.093 1.5020                       -2.301 -2.615 2.989       -0.1692000
## 1275   5.684         2.437e-01            -2.292 -1.925 2.241 1.655 -0.8652000
## 893    4.656                    0.6159000 -2.272 -1.772 2.291 1.550           
## 244    4.421 0.8111  2.534e-01                   -2.017 2.045 1.353 -1.1160000
## 1266   4.663 0.8054                              -1.984 2.020 1.339 -1.1180000
## 2679   5.653        -6.238e-01  0.3317000        -2.087 2.036 1.640           
## 3301   4.672                    0.4748000               1.743 2.070 -0.2682000
## 1411   5.838        -3.569e-01                                      -1.0720000
## 3427   5.283        -6.212e-01                          1.812 1.960           
## 1661   4.665                    0.5756000 -2.285 -1.768 2.282 1.555           
## 1529   5.849                              -2.297 -1.904 2.240 1.628 -0.8357000
## 639    4.588        -3.268e-02  0.5918000 -2.274 -1.769 2.282 1.540           
## 1148   4.829 0.7517  1.915e-01            -2.363 -1.950 2.554 1.507           
## 1118   5.436 0.3796             0.8727000 -1.972 -1.585       1.893           
## 498    4.546 0.7978                              -1.992 2.031 1.325 -1.0930000
## 2803   5.975        -5.718e-01                   -2.141 2.031 1.610 -0.2807000
## 3429   4.574                    0.5136000               1.788 2.073           
## 2295   5.903        -5.529e-01  0.3101000        -2.131 2.018 1.721 -0.2662000
## 1402   4.978 0.7353                       -2.365 -1.933 2.545 1.488           
## 1108   5.114 0.3369  4.678e-02                   -1.656       1.600           
## 1362   5.142 0.3340                              -1.652       1.595           
## 3809   4.820                                            1.764 1.931 -0.3018000
## 2279   4.548        -7.332e-01  0.6070000               1.746 1.942 -0.1096000
## 96     5.357 0.3720 -1.119e-01  0.9019000 -1.956 -1.582       1.868           
## 350    5.343 0.3702             0.9070000 -1.953 -1.592       1.885           
## 2407   4.530        -7.582e-01  0.6258000               1.764 1.941           
## 2530   4.015 0.8573                                     1.975 1.849 -0.3135000
## 340    5.037 0.3305 -2.874e-04                   -1.659       1.582           
## 1287   4.930        -5.854e-01  0.9294000                                     
## 2423   5.793        -5.969e-01  0.3380000        -2.117 2.057 1.719           
## 2931   5.863        -6.168e-01                   -2.128 2.073 1.600           
## 1286   4.416 0.4976             0.9379000                                     
## 507    5.549         1.355e-01            -2.274 -1.929 2.258 1.616 -0.8149000
## 1379   3.595        -6.421e-02                          1.805 1.627           
## 380    4.740 0.7372  1.062e-01            -2.345 -1.955 2.557 1.478           
## 3937   4.704                                            1.817 1.923           
## 2547   6.094        -5.334e-01                   -2.172 2.044 1.685 -0.3093000
## 2787   4.713        -7.647e-01                          1.772 1.746 -0.1432000
## 1373   5.704                    0.8445000 -1.987 -1.553       1.942           
## 1363   5.278         2.510e-02                   -1.624       1.639           
## 2915   4.671        -7.906e-01                          1.796 1.740           
## 660    5.923 0.6023 -1.895e-01                   -1.859             -1.2370000
## 1119   5.645        -6.814e-02  0.8323000 -1.987 -1.548       1.924           
## 1682   5.932 0.6197                              -1.880             -1.2710000
## 501    4.518                    0.7056000        -1.827 1.817 1.542 -0.9096000
## 247    4.404         1.431e-01  0.6751000        -1.842 1.818 1.552 -0.9327000
## 1269   4.541                    0.6716000        -1.824 1.804 1.543 -0.9347000
## 914    5.833 0.6166                              -1.882             -1.2590000
## 2368   6.952 1.4140 -7.978e-01 -0.0306900 -2.286 -2.547 2.962                 
## 2492   6.937 1.4160 -7.969e-01            -2.282 -2.544 2.957       -0.0126100
## 3553   5.048                                            1.778 2.028 -0.3282000
## 351    5.613        -1.452e-01  0.8749000 -1.970 -1.549       1.910           
## 374    3.461 0.8191             0.9233000        -1.838 2.118 1.419           
## 663    5.836        -2.933e-01  0.5789000        -1.747             -1.0510000
## 2805   5.464                    0.2903000        -2.142 2.019 1.704 -0.3401000
## 120    3.350 0.8307  9.050e-02  0.9004000        -1.848 2.121 1.421           
## 678    3.071 0.8208             0.7306000               1.932       -0.6134000
## 1405   5.008                    0.6194000 -2.306 -1.797 2.316 1.682           
## 1142   3.418 0.8278             0.9015000        -1.837 2.113 1.414           
## 2240   7.030 1.4020 -8.191e-01 -0.0080580 -2.284 -2.542 2.962       -0.0075220
## 1151   4.866         8.293e-02  0.5892000 -2.305 -1.806 2.314 1.680           
## 655    5.616        -6.256e-01  0.6224000 -1.758                    -0.6704000
## 2789   3.905                    0.5797000               1.741 1.894 -0.1998000
## 917    5.782                    0.5623000        -1.781             -1.0810000
## 1685   5.777                    0.5493000        -1.781             -1.0890000
## 383    4.857        -5.825e-04  0.6375000 -2.289 -1.805 2.319 1.667           
## 2549   5.579                    0.2828000        -2.167 2.029 1.764 -0.3604000
## 3057   5.640                                     -2.179 2.042 1.669 -0.3782000
## 2917   3.809                    0.6009000               1.774 1.891           
## 2933   5.269                    0.3191000        -2.126 2.070 1.701           
## 1913   5.126                              -2.343 -1.817 2.355 1.477           
## 710    3.693 0.3744             0.9920000                     1.762 -0.9378000
## 1659   5.001         6.484e-02            -2.341 -1.823 2.351 1.482           
## 1777   4.742                                     -1.853 1.834 1.334 -0.9999000
## 552    2.898 0.7781 -4.499e-01  0.8437000               1.980                 
## 755    4.599         1.349e-01                   -1.871 1.849 1.340 -0.9957000
## 1626   5.747 0.2861                       -2.024 -1.605       1.648           
## 654    5.125 0.4749             0.6376000 -1.721                    -0.7691000
## 1009   4.696                                     -1.858 1.847 1.321 -0.9781000
## 891    4.983        -1.580e-02            -2.327 -1.824 2.358 1.453           
## 3324   6.977 1.2690 -4.337e-01            -2.469 -2.388 2.728 1.833 -0.0950100
## 3708   6.915 1.2650 -4.572e-01            -2.475 -2.378 2.739 1.816           
## 3200   6.933 1.2680 -4.512e-01  0.0166300 -2.476 -2.382 2.742 1.833           
## 3452   6.956 1.2660 -4.520e-01            -2.478 -2.384 2.744 1.832           
## 711    3.979        -2.442e-01  0.9630000                     1.761 -0.8867000
## 604    5.672 0.2739 -1.365e-01            -2.008 -1.601       1.607           
## 3002   6.161 1.4050                       -2.242 -2.535 2.930       -0.1107000
## 858    5.623 0.2764                       -2.005 -1.614       1.626           
## 1733   3.992                    0.9296000                     1.809 -0.9352000
## 2878   6.145 1.4000            -0.0472500 -2.257 -2.536 2.953                 
## 2531   4.917        -7.119e-01                          1.792 1.879 -0.1869000
## 1881   5.923                              -2.033 -1.579       1.687           
## 965    3.931                    0.9679000                     1.802 -0.9039000
## 1627   5.893        -8.487e-02            -2.032 -1.573       1.670           
## 528    5.021 0.4065 -6.764e-01  0.7828000 -1.783                              
## 2750   6.265 1.3860            -0.0293700 -2.245 -2.534 2.937       -0.1101000
## 859    5.832        -1.590e-01            -2.017 -1.574       1.639           
## 2533   4.108                    0.5874000               1.758 2.006 -0.2295000
## 806    2.749 0.7911             0.8329000               2.020                 
## 652    5.792 0.3699 -5.488e-01            -1.792                    -0.8235000
## 885    3.718                    0.8209000        -1.715 1.918 1.396           
## 1574   2.657 0.7971             0.8209000               2.017                 
## 1683   6.207        -2.196e-01                   -1.801             -1.1760000
## 915    6.197        -2.380e-01                   -1.800             -1.1670000
## 3636   6.083 1.3940 -6.813e-01                   -2.430 2.535                 
## 1653   3.616                    0.7945000        -1.716 1.911 1.388           
## 631    3.636        -1.804e-02  0.7938000        -1.714 1.909 1.387           
## 3578   6.758 1.2800                       -2.459 -2.415 2.735 1.875 -0.1694000
## 1677   5.504                    0.5549000 -1.748                    -0.7547000
## 3326   6.786 1.2780            -0.0169400 -2.461 -2.417 2.737 1.874 -0.1712000
## 3834   6.765 1.2780                       -2.459 -2.414 2.735 1.873 -0.1685000
## 1937   6.173                                     -1.824             -1.2020000
## 1267   4.933         2.717e-01                   -1.914 1.861 1.489 -1.0920000
## 909    5.410                    0.5839000 -1.737                    -0.7302000
## 3962   6.678 1.2760                       -2.473 -2.408 2.764 1.870           
## 3454   6.690 1.2770            -0.0021540 -2.474 -2.410 2.765 1.875           
## 3710   6.689 1.2750             0.0005435 -2.473 -2.407 2.764 1.871           
## 783    5.366        -7.269e-01  0.7528000 -1.794                              
## 3041   4.251                                            1.783 1.829 -0.2702000
## 1551   5.232        -7.103e-01  0.7348000 -1.792                              
## 1403   5.309         1.274e-01            -2.365 -1.861 2.391 1.612           
## 1675   6.037        -5.406e-01            -1.808                    -0.8005000
## 1521   5.082                                     -1.891 1.856 1.456 -1.0600000
## 907    6.010        -5.819e-01            -1.803                    -0.7822000
## 676    3.677 0.7161 -3.320e-01                          1.930       -0.7095000
## 2568   5.448 0.6938 -1.144e+00  0.6238000                                     
## 882    3.724 0.7321                              -1.868 2.157 1.157           
## 628    3.644 0.7413  7.688e-02                   -1.876 2.160 1.165           
## 1650   3.716 0.7395                              -1.865 2.153 1.160           
## 499    4.841         1.981e-01                   -1.917 1.874 1.463 -1.0560000
## 152    6.030 0.7017 -1.673e-01  0.6592000        -1.905             -1.2210000
## 1174   6.058 0.7142             0.6290000        -1.922             -1.2570000
## 406    5.950 0.7122             0.6393000        -1.924             -1.2430000
## 1674   5.709 0.4089                       -1.784                    -0.9023000
## 679    3.761        -4.446e-01  0.6676000               1.760       -0.5364000
## 1698   3.588 0.7400                                     1.949       -0.7485000
## 1222   4.141 0.3788             0.9949000                     1.936 -1.0360000
## 930    3.536 0.7333                                     1.954       -0.7347000
## 536    4.867 0.5954 -3.836e-01  0.8335000        -1.671                       
## 1284   5.139 0.3566 -4.484e-01                                                
## 906    5.533 0.3991                       -1.770                    -0.8763000
## 200    4.061 0.3671 -1.514e-01  1.0320000                     1.906 -0.9897000
## 2494   6.505 1.4330            -0.0729300 -2.257 -2.607 2.983       -0.1553000
## 454    4.021 0.3668             1.0320000                     1.929 -1.0010000
## 2616   5.603 1.3600 -7.906e-01  0.2402000        -2.382 2.500                 
## 1370   6.103 0.2767                       -2.047 -1.642       1.799           
## 1116   6.066 0.2806  2.508e-02            -2.046 -1.644       1.800           
## 3762   5.949 1.4260                              -2.497 2.520       -0.3965000
## 2740   5.851 1.3460 -7.437e-01                   -2.420 2.485       -0.2444000
## 3252   6.545 1.4400 -5.772e-01                   -2.518 2.545       -0.3367000
## 1550   4.781 0.4315             0.7356000 -1.770                              
## 782    4.754 0.4249             0.7544000 -1.762                              
## 790    4.765 0.6060             0.8194000        -1.712                       
## 2868   5.708 1.3500 -7.696e-01                   -2.410 2.519                 
## 1558   4.686 0.6090             0.8156000        -1.714                       
## 1477   4.393                    0.9687000                     1.978 -1.0040000
## 933    3.646                    0.6521000               1.794       -0.5660000
## 1929   5.907                              -1.794                    -0.8598000
## 1223   4.354        -1.028e-01  0.9619000                     1.956 -0.9957000
## 694    4.181 1.0250             0.5692000        -2.040 2.172       -0.8642000
## 2692   5.962 0.6465 -1.062e+00                                      -0.4346000
## 3588   6.081 0.6632 -1.064e+00                                                
## 1701   3.587                    0.6328000               1.787       -0.5759000
## 807    3.556        -5.357e-01  0.7819000               1.840                 
## 1371   6.226         3.555e-03            -2.055 -1.617       1.834           
## 1397   3.980                    0.8425000        -1.750 1.946 1.532           
## 375    3.928         2.021e-02  0.8457000        -1.755 1.948 1.530           
## 455    4.303        -1.820e-01  1.0080000                     1.942 -0.9554000
## 3128   6.320 1.4400 -6.431e-01  0.1371000        -2.487 2.584                 
## 348    5.941 0.2688 -5.665e-02            -2.026 -1.649       1.769           
## 1575   3.339        -5.394e-01  0.7701000               1.833                 
## 3380   6.372 1.4370 -6.272e-01                   -2.503 2.594                 
## 1143   3.854         6.155e-02  0.8156000        -1.756 1.943 1.529           
## 3638   5.660 1.4240             0.1199000        -2.468 2.572                 
## 3890   5.706 1.4230                              -2.482 2.580                 
## 560    3.826 0.7671 -4.946e-01  0.6401000 -2.110        2.331                 
## 584    3.340 0.3159 -3.311e-01  1.1390000                     1.690           
## 839    3.628        -3.783e-01  1.1310000                     1.722           
## 1805   5.090                    0.6880000 -1.782                              
## 2820   5.818 0.6340 -1.127e+00                                                
## 686    3.839 0.8049             0.5552000 -2.068        2.307       -0.4208000
## 838    3.254 0.3126             1.1450000                     1.745           
## 1426   6.469 0.6509                              -1.966             -1.3800000
## 1140   3.923 0.7498  1.929e-01                   -1.921 2.197 1.321           
## 1172   6.540 0.6420 -5.237e-02                   -1.960             -1.3730000
## 1606   3.224 0.3239             1.1190000                     1.743           
## 804    3.374 0.6667 -4.065e-01                          2.030                 
## 2695   5.889        -1.086e+00  0.5113000                           -0.3277000
## 1572   3.289 0.6719 -4.012e-01                          2.028                 
## 1607   3.509        -3.410e-01  1.1000000                     1.719           
## 404    6.386 0.6386 -8.497e-02                   -1.961             -1.3530000
## 1394   4.048 0.7358                              -1.905 2.187 1.301           
## 372    3.882 0.7420  1.475e-01                   -1.924 2.201 1.307           
## 780    5.510 0.2959 -6.385e-01            -1.851                              
## 791    5.285        -4.454e-01  0.7806000        -1.621                       
## 1559   5.104        -4.602e-01  0.7775000        -1.624                       
## 1548   5.485 0.3040 -6.145e-01            -1.854                              
## 3591   5.951        -1.098e+00  0.5074000                                     
## 3506   6.212 1.4670                              -2.560 2.562       -0.4344000
## 1861   3.497                    1.1010000                     1.783           
## 3254   6.238 1.4620             0.0605000        -2.553 2.562       -0.4253000
## 702    4.996 1.0140             0.3852000 -2.121 -2.091 2.563       -0.6729000
## 1829   3.263                    0.7404000               1.877                 
## 2823   5.809        -1.153e+00  0.5590000                                     
## 931    4.167        -4.023e-01                          1.802       -0.6510000
## 1175   6.430        -1.884e-01  0.5679000        -1.847             -1.1720000
## 1803   5.709        -6.470e-01            -1.860                              
## 407    6.401        -2.112e-01  0.5814000        -1.845             -1.1600000
## 814    3.642 0.7832             0.6250000 -2.099        2.373                 
## 1699   4.097        -3.847e-01                          1.797       -0.6568000
## 1582   3.651 0.7922             0.6000000 -2.108        2.370                 
## 168    3.710 0.8329 -3.159e-01  0.7705000               1.976       -0.6709000
## 1429   6.402                    0.5474000        -1.867             -1.1970000
## 1826   3.170 0.6928                                     2.060                 
## 3715   6.443        -9.976e-01                                      -0.4244000
## 1730   4.519 0.2788                                           1.664 -1.1360000
## 684    4.391 0.7165 -4.107e-01            -2.128        2.305       -0.4747000
## 1714   4.597 0.9663                              -2.081 2.191       -0.9724000
## 1905   4.163                                     -1.783 1.996 1.271           
## 946    4.567 0.9615                              -2.082 2.194       -0.9631000
## 692    4.559 0.9624 -1.028e-02                   -2.081 2.192       -0.9634000
## 883    4.108         1.434e-02                   -1.787 1.999 1.266           
## 1813   5.061                    0.7475000        -1.670                       
## 2232   6.048 1.3970 -7.100e-01  0.2087000        -2.475 2.529       -0.2660000
## 1651   4.062         5.146e-02                   -1.787 1.993 1.275           
## 2484   6.098 1.3950 -6.752e-01                   -2.501 2.538       -0.3004000
## 1722   5.370 0.9802                       -2.163 -2.117 2.578       -0.7569000
## 708    4.433 0.2613 -1.682e-01                                1.616 -1.0860000
## 1190   3.639 0.8510             0.7338000               1.993       -0.7126000
## 422    3.582 0.8461             0.7506000               1.998       -0.6964000
## 1731   4.664        -1.072e-01                                1.675 -1.0970000
## 2994   5.389 1.3790                              -2.480 2.511       -0.3716000
## 2708   7.222 0.8981 -8.569e-01                   -2.132             -0.6353000
## 3382   5.949 1.4640             0.0938600        -2.535 2.625                 
## 1985   4.671                                                  1.696 -1.1090000
## 2742   5.333 1.3770             0.1881000        -2.456 2.504       -0.3437000
## 962    4.355 0.2667                                           1.641 -1.1020000
## 2360   5.876 1.4040 -7.350e-01  0.2174000        -2.464 2.566                 
## 1953   4.034                                            1.819       -0.6934000
## 700    5.295 0.9661 -8.567e-02            -2.157 -2.109 2.576       -0.7289000
## 954    5.276 0.9698                       -2.154 -2.120 2.584       -0.7354000
## 1706   4.331 0.7498                       -2.126        2.326       -0.5328000
## 2947   6.209        -1.065e+00                                      -0.4002000
## 963    4.571        -1.853e-01                                1.642 -1.0590000
## 3843   6.338        -1.080e+00                                                
## 2870   5.095 1.3850             0.2007000        -2.444 2.554                 
## 938    4.215 0.7374                       -2.115        2.332       -0.5071000
## 3604   7.329 0.9117 -8.784e-01                   -2.106                       
## 1802   5.278 0.3328                       -1.841                              
## 812    4.232 0.6804 -4.691e-01            -2.172        2.380                 
## 1580   4.196 0.6930 -4.311e-01            -2.176        2.379                 
## 2584   6.739 0.9065 -9.778e-01  0.4232000        -2.048                       
## 144    5.937 0.4742 -5.176e-01  0.6938000 -1.737                    -0.8220000
## 3714   5.800 0.7050                                                 -0.6362000
## 3730   7.274 0.9715                              -2.213             -0.8122000
## 1556   5.302 0.4866 -3.342e-01                   -1.721                       
## 788    5.352 0.4863 -3.272e-01                   -1.721                       
## 2694   5.006 0.7083             0.5546000                           -0.5403000
## 1427   6.782        -1.034e-01                   -1.899             -1.2980000
## 3590   5.147 0.7254             0.5383000                                     
## 687    4.549        -5.058e-01  0.4974000 -2.087        2.137       -0.3372000
## 1827   3.789        -4.709e-01                          1.900                 
## 568    3.664 0.9768 -1.589e-01  0.7058000        -1.939 2.264                 
## 822    3.660 0.9788             0.7108000        -1.957 2.284                 
## 576    4.647 0.9723 -1.950e-01  0.4913000 -2.174 -2.005 2.636                 
## 1590   3.546 0.9835             0.7036000        -1.960 2.281                 
## 1810   5.204 0.5056                              -1.755                       
## 830    4.615 0.9774             0.4916000 -2.170 -2.028 2.658                 
## 2688   6.221 1.1970 -6.590e-01  0.1753000 -2.387 -2.326 2.700 1.685           
## 296    3.402 0.8003 -3.928e-01  0.8839000               2.069                 
## 815    4.469        -5.769e-01  0.5771000 -2.112        2.194                 
## 1598   4.603 0.9849             0.4717000 -2.175 -2.027 2.655                 
## 1834   4.079 0.7142                       -2.172        2.414                 
## 1064   3.315 0.8051 -3.849e-01  0.8744000               2.067                 
## 2940   6.288 1.1960 -6.408e-01            -2.403 -2.349 2.719 1.668           
## 1166   5.900 0.5033             0.6226000 -1.737                    -0.9068000
## 2812   6.353 1.1860 -6.544e-01            -2.402 -2.346 2.717 1.667 -0.0161800
## 2432   6.260 1.2110 -6.270e-01  0.1626000 -2.395 -2.349 2.715 1.732           
## 328    3.684 0.3000 -2.731e-01  1.2020000                     1.893           
## 1206   4.661 1.0570             0.5669000        -2.119 2.230       -0.9500000
## 438    4.627 1.0530             0.5788000        -2.120 2.233       -0.9389000
## 184    4.611 1.0550  9.812e-03  0.5746000        -2.122 2.233       -0.9416000
## 2304   6.315 1.2030 -6.403e-01  0.1780000 -2.393 -2.346 2.714 1.735 -0.0117100
## 3220   8.059 0.9876 -6.821e-01                   -2.245             -0.7545000
## 2836   6.968 0.8782 -9.510e-01                   -2.091                       
## 1096   3.639 0.3120 -2.238e-01  1.1720000                     1.894           
## 1583   4.334        -5.454e-01  0.5501000 -2.111        2.188                 
## 2556   6.377 1.2030 -6.155e-01            -2.407 -2.370 2.727 1.715 -0.0383600
## 1350   3.632 0.3098             1.1730000                     1.933           
## 2486   5.599 1.4240             0.1490000        -2.532 2.552       -0.3918000
## 1167   6.296        -5.003e-01  0.6115000 -1.763                    -0.8071000
## 1395   4.376         1.332e-01                   -1.833 2.034 1.425           
## 398    5.693 0.4972             0.6501000 -1.719                    -0.8764000
## 399    6.235        -5.478e-01  0.6407000 -1.754                    -0.7822000
## 1351   3.913        -2.560e-01  1.1570000                     1.930           
## 1318   3.211 0.8208             0.8494000               2.098                 
## 2822   4.738 0.6996             0.5975000                                     
## 3647   7.833        -7.719e-01 -0.2189000 -2.313 -2.327 2.630                 
## 1811   5.572        -3.792e-01                   -1.678                       
## 3080   6.271 0.7489 -1.022e+00  0.5694000                                     
## 3628   5.840 1.0750 -9.677e-01            -2.238        2.524                 
## 1220   4.877 0.2758  1.830e-02                                1.834 -1.2190000
## 1474   4.890 0.2744                                           1.832 -1.2170000
## 2184   6.133 0.7323 -1.024e+00  0.5896000                           -0.4442000
## 2946   5.308 0.6701                                                 -0.6148000
## 941    4.401                    0.4765000 -2.074        2.172       -0.3744000
## 3899   7.719        -7.960e-01            -2.289 -2.299 2.606                 
## 1709   4.439                    0.4426000 -2.082        2.163       -0.4000000
## 3771   7.646        -7.919e-01            -2.291 -2.298 2.610        0.0397400
## 3842   5.501 0.6840                                                           
## 939    4.893        -4.844e-01            -2.129        2.178       -0.4149000
## 1188   4.225 0.7552 -2.105e-01                          1.999       -0.8254000
## 3204   6.832 0.7225 -8.980e-01                                      -0.5600000
## 1707   4.863        -4.388e-01            -2.131        2.170       -0.4344000
## 2710   6.556 0.9391             0.3235000        -2.161             -0.7389000
## 420    4.145 0.7483 -2.445e-01                          2.002       -0.8075000
## 1475   5.010         3.957e-05                                1.861 -1.1910000
## 3717   5.707                    0.4044000                           -0.5394000
## 1442   4.133 0.7700                                     2.010       -0.8465000
## 828    4.969 0.9098 -1.699e-01            -2.222 -2.038 2.679                 
## 1596   4.955 0.9207 -1.348e-01            -2.227 -2.040 2.678                 
## 1850   4.961 0.9255                       -2.226 -2.055 2.693                 
## 1214   5.552 1.0480             0.3661000 -2.142 -2.166 2.617       -0.7711000
## 2962   6.697 0.9326                              -2.198             -0.7873000
## 452    4.707 0.2606 -7.255e-02                                1.800 -1.1740000
## 1164   6.503 0.4077 -3.922e-01            -1.801                    -0.9759000
## 1741   4.918                    0.7893000 -1.923              1.984 -0.8345000
## 1837   4.257                    0.5203000 -2.110        2.232                 
## 718    4.552 0.2938             0.8606000 -1.888              1.931 -0.8151000
## 1421   6.179                    0.5612000 -1.753                    -0.8678000
## 192    5.440 1.0390 -4.834e-02  0.3946000 -2.131 -2.163 2.619       -0.7415000
## 670    6.274 0.6274             0.4954000 -1.733 -1.848             -1.0260000
## 446    5.428 1.0410             0.3927000 -2.129 -2.169 2.623       -0.7453000
## 2312   5.963 0.7254 -1.088e+00  0.6264000                                     
## 719    4.827        -2.941e-01  0.8425000 -1.907              1.917 -0.7631000
## 423    4.326        -3.837e-01  0.6925000               1.833       -0.6217000
## 2200   7.455 0.9603 -8.190e-01  0.3482000        -2.189             -0.6617000
## 1191   4.268        -3.617e-01  0.6742000               1.827       -0.6317000
## 1048   5.365 0.6155 -3.161e-01  0.8624000        -1.767                       
## 280    5.418 0.6144 -3.111e-01  0.8627000        -1.766                       
## 396    6.336 0.3973 -4.487e-01            -1.788                    -0.9465000
## 1835   4.724        -5.058e-01            -2.171        2.248                 
## 3606   6.674 0.9545             0.3151000        -2.133                       
## 1204   5.035 1.0060  1.081e-01                   -2.172 2.255       -1.0690000
## 973    4.748                    0.8424000 -1.900              1.964 -0.7871000
## 1961   4.798                              -2.124        2.195       -0.4765000
## 1458   5.061 0.9982                              -2.160 2.247       -1.0570000
## 3474   7.651 1.0200                              -2.293             -0.8736000
## 3222   7.598 1.0200             0.2005000        -2.271             -0.8445000
## 3969   5.997                                                        -0.5966000
## 436    4.936 0.9999  7.533e-02                   -2.172 2.257       -1.0510000
## 2452   7.580 0.9503 -7.700e-01                   -2.230             -0.7195000
## 1418   6.319 0.4346                       -1.789                    -1.0200000
## 2600   4.308 1.0480 -1.008e+00  0.4966000               2.116                 
## 1212   5.810 1.0140  5.465e-02            -2.174 -2.199 2.639       -0.8428000
## 1466   5.839 1.0090                       -2.175 -2.193 2.636       -0.8364000
## 2942   5.768 1.2150             0.1458000 -2.379 -2.372 2.735 1.746           
## 2949   5.311                    0.4701000                           -0.5149000
## 3096   7.579 0.9750 -8.377e-01  0.3377000        -2.163                       
## 3066   5.921 1.2090                       -2.381 -2.394 2.728 1.731 -0.1322000
## 3731   7.794        -7.885e-01                   -2.042             -0.6090000
## 1302   5.280 0.6290             0.8364000        -1.798                       
## 2558   5.895 1.2210             0.1344000 -2.375 -2.391 2.724 1.779 -0.1260000
## 2608   5.322 1.0470 -1.077e+00  0.2726000 -2.177        2.484                 
## 2814   5.876 1.2030             0.1594000 -2.368 -2.371 2.718 1.749 -0.1101000
## 1445   4.217                    0.6449000               1.849       -0.6693000
## 272    5.610 0.4193 -6.089e-01  0.8242000 -1.784                              
## 1040   5.603 0.4254 -5.816e-01  0.8080000 -1.789                              
## 3858   6.856 0.9398                              -2.165                       
## 3332   6.630 0.7042 -9.877e-01                                                
## 949    4.822                    0.4738000        -1.941 1.988       -0.7966000
## 695    4.814        -1.440e-01  0.4682000        -1.924 1.971       -0.7914000
## 1419   6.693        -4.221e-01            -1.811                    -0.9319000
## 176    4.504 0.8134 -3.791e-01  0.5980000 -2.086        2.349       -0.4697000
## 2436   6.431 0.6895 -9.769e-01                                      -0.5298000
## 3845   5.448                    0.4688000                                     
## 2732   5.436 1.0190 -1.107e+00            -2.224        2.543        0.2061000
## 1717   4.751                    0.4584000        -1.942 1.982       -0.8028000
## 3620   4.856 1.0410 -9.201e-01                          2.159                 
## 444    5.678 1.0010 -5.561e-03            -2.163 -2.198 2.641       -0.8125000
## 668    6.729 0.5532 -2.778e-01            -1.783 -1.851             -1.0820000
## 820    4.072 0.8898 -1.135e-01                   -1.986 2.313                 
## 1690   6.764 0.5806                       -1.784 -1.880             -1.1370000
## 1588   4.008 0.8932 -1.119e-01                   -1.987 2.311                 
## 2860   5.484 1.0240 -1.069e+00            -2.204        2.507                 
## 3348   7.761 0.9577 -8.064e-01                   -2.197                       
## 1842   4.006 0.8978                              -1.999 2.323                 
## 2751   7.347        -8.946e-01 -0.1041000 -2.271 -2.292 2.618        0.0636800
## 2879   7.373        -8.840e-01 -0.1101000 -2.266 -2.296 2.608                 
## 1198   4.487 0.8383             0.5414000 -2.091        2.366       -0.5328000
## 2711   7.317        -8.874e-01  0.2697000        -1.997             -0.5368000
## 3003   7.282        -9.024e-01            -2.262 -2.279 2.609        0.0776300
## 3207   6.758        -9.475e-01  0.4411000                           -0.4512000
## 922    6.602 0.5730                       -1.772 -1.883             -1.1150000
## 3263   8.242        -7.169e-01 -0.2445000 -2.327 -2.401 2.683       -0.0439500
## 3391   8.238        -7.278e-01 -0.2364000 -2.331 -2.398 2.690                 
## 430    4.340 0.8302             0.5730000 -2.076        2.373       -0.5022000
## 1230   5.082 0.3009             0.8440000 -1.927              2.105 -0.9240000
## 2963   7.479        -8.649e-01                   -2.029             -0.5798000
## 3206   6.045 0.7779             0.4595000                           -0.6496000
## 1295   5.919        -6.151e-01  0.7627000 -1.802                              
## 671    6.691        -3.637e-01  0.4490000 -1.767 -1.755             -0.9302000
## 1319   3.953        -4.538e-01  0.7972000               1.922                 
## 304    4.317 0.7892 -4.373e-01  0.6766000 -2.123        2.421                 
## 1072   4.304 0.7986 -3.952e-01  0.6514000 -2.130        2.420                 
## 3515   8.076        -7.424e-01            -2.303 -2.371 2.662       -0.0094940
## 2838   6.144 0.9249             0.3817000        -2.114                       
## 3607   7.367        -9.177e-01  0.2743000        -1.971                       
## 2724   4.636 1.0030 -9.880e-01                          2.139       -0.0748300
## 2852   4.592 1.0050 -9.954e-01                          2.150                 
## 2328   7.159 0.9478 -9.132e-01  0.4027000        -2.145                       
## 1485   5.306                    0.8263000 -1.940              2.142 -0.8970000
## 947    5.127        -1.097e-01                   -1.969 2.005       -0.8762000
## 3773   7.568                   -0.2699000 -2.295 -2.391 2.659       -0.1321000
## 1969   5.112                                     -1.981 2.011       -0.8911000
## 1231   5.268        -1.204e-01  0.8202000 -1.940              2.118 -0.8865000
## 1715   5.081        -9.115e-02                   -1.970 2.001       -0.8832000
## 3144   5.421 0.5975 -7.174e-01  0.7317000                     2.142           
## 3901   7.498                   -0.2558000 -2.306 -2.384 2.681                 
## 1604   4.033 0.1845 -2.448e-01                                1.566           
## 2439   6.461        -1.019e+00  0.5056000                           -0.4191000
## 836    4.031 0.1740 -2.898e-01                                1.552           
## 1294   5.412 0.4467             0.7637000 -1.781                              
## 3335   6.610        -1.032e+00  0.4996000                                     
## 1693   6.692                    0.3992000 -1.765 -1.796             -0.9916000
## 208    4.938 0.2845 -2.074e-01  0.9015000 -1.905              2.061 -0.8569000
## 1859   4.186        -2.652e-01                                1.586           
## 1303   5.748        -3.619e-01  0.7945000        -1.720                       
## 3859   7.587        -9.039e-01                   -2.001                       
## 925    6.603                    0.4242000 -1.754 -1.797             -0.9700000
## 3459   7.057        -9.108e-01                                      -0.5190000
## 1858   3.980 0.1875                                           1.609           
## 703    5.644        -1.994e-01  0.2897000 -2.131 -1.969 2.361       -0.5940000
## 2632   4.800 0.5550 -8.882e-01  0.8096000                     1.923           
## 462    4.864 0.2866             0.8970000 -1.900              2.090 -0.8743000
## 957    5.628                    0.2891000 -2.126 -1.993 2.380       -0.6063000
## 4025   7.349                              -2.268 -2.357 2.634       -0.0983300
## 592    4.309 0.2394 -3.702e-01  0.9873000 -1.938              1.862           
## 1316   3.804 0.7024 -2.966e-01                          2.119                 
## 1725   5.654                    0.2591000 -2.133 -1.993 2.372       -0.6286000
## 1326   4.199 0.8145             0.6262000 -2.129        2.452                 
## 1196   4.980 0.7606 -2.671e-01            -2.145        2.375       -0.5995000
## 2839   7.107        -9.836e-01  0.3344000        -1.955                       
## 3458   6.308 0.7513                                                 -0.7121000
## 847    4.548        -4.122e-01  0.9855000 -1.945              1.887           
## 1443   4.693        -2.780e-01                          1.863       -0.7664000
## 463    5.139        -2.341e-01  0.8840000 -1.917              2.090 -0.8285000
## 2454   6.945 0.9884             0.2785000        -2.253             -0.8116000
## 3655   5.406        -7.712e-01  0.6709000                     2.042           
## 3270   5.304 0.6179             0.6430000                     2.209 -0.6040000
## 1088   5.073 1.0070 -9.649e-02  0.4905000 -2.194 -2.091 2.720                 
## 1342   5.086 1.0090             0.4894000 -2.194 -2.102 2.731                 
## 1615   4.516        -3.360e-01  0.9408000 -1.958              1.901           
## 312    4.100 1.0040 -9.834e-02  0.7309000        -2.027 2.349                 
## 320    5.065 0.9991 -1.350e-01  0.5125000 -2.187 -2.090 2.720                 
## 1691   7.047        -2.823e-01            -1.805 -1.798             -1.0370000
## 1080   4.032 1.0070 -9.492e-02  0.7250000        -2.028 2.347                 
## 3596   7.088 0.6376 -1.125e+00            -1.894                              
## 1334   4.042 1.0100             0.7234000        -2.038 2.358                 
## 955    5.875        -1.888e-01            -2.156 -1.997 2.389       -0.6402000
## 1977   5.907                              -2.159 -2.015 2.396       -0.6741000
## 1723   5.871        -1.417e-01            -2.160 -1.999 2.382       -0.6612000
## 1614   4.266 0.2513             0.9513000 -1.949              1.930           
## 923    6.992        -3.244e-01            -1.799 -1.796             -1.0170000
## 428    4.868 0.7466 -3.281e-01            -2.135        2.378       -0.5694000
## 1450   4.884 0.7773                       -2.140        2.389       -0.6260000
## 1869   4.507                    0.9419000 -1.959              1.965           
## 2576   6.464 0.6416 -1.221e+00  0.4545000 -1.825                              
## 846    4.191 0.2384             0.9906000 -1.930              1.920           
## 1738   5.395 0.2149                       -1.971              1.868 -0.9996000
## 1945   7.005                              -1.798 -1.828             -1.0710000
## 3733   7.381                    0.1425000        -2.083             -0.7278000
## 3654   4.795 0.5917             0.7056000                     2.101           
## 3271   5.828        -6.315e-01  0.6197000                     2.187 -0.4681000
## 3985   7.466                                     -2.100             -0.7494000
## 2438   5.497 0.7500             0.5298000                           -0.6214000
## 1739   5.526        -1.329e-01            -1.980              1.868 -0.9629000
## 1993   5.536                              -1.980              1.894 -0.9776000
## 3963   7.421        -5.039e-01            -2.464 -2.194 2.451 1.944           
## 3120   6.165 1.1280 -9.188e-01  0.1677000 -2.240        2.586                 
## 3334   5.704 0.7641             0.5205000                                     
## 3612   8.356 0.8878 -9.385e-01            -1.912 -2.123                       
## 3711   7.397        -4.894e-01 -0.0506000 -2.468 -2.202 2.454 1.939           
## 3835   7.376        -4.819e-01            -2.458 -2.198 2.439 1.945 -0.0530800
## 3579   7.498        -4.795e-01            -2.464 -2.208 2.448 1.975 -0.0598300
## 3455   7.507        -4.880e-01 -0.0391500 -2.473 -2.210 2.464 1.970           
## 823    4.396        -2.639e-01  0.6234000        -1.839 2.074                 
## 3268   6.125 0.5615 -5.870e-01                                2.096 -0.5928000
## 3327   7.486        -4.646e-01 -0.0593300 -2.467 -2.216 2.450 1.968 -0.0703900
## 3244   6.259 1.1140 -9.290e-01            -2.268        2.619        0.1032000
## 3652   5.719 0.5292 -7.478e-01                                1.947           
## 3630   5.216 1.1080             0.1441000 -2.207        2.566                 
## 3350   7.115 0.9973             0.2839000        -2.218                       
## 3372   6.282 1.1160 -9.100e-01            -2.258        2.600                 
## 2248   5.166 0.5700 -7.710e-01  0.7843000                     2.074 -0.4338000
## 1591   4.203        -2.698e-01  0.6143000        -1.842 2.068                 
## 2759   5.169        -8.176e-01  0.7133000                     1.972 -0.3646000
## 3882   5.311 1.0990                       -2.222        2.578                 
## 3754   5.329 1.0970                       -2.222        2.578       -0.0029490
## 1845   4.224                    0.6059000        -1.871 2.096                 
## 726    4.791 0.5299             0.8413000        -1.673       1.575 -1.1660000
## 3622   4.083 1.0940             0.4022000               2.186                 
## 716    5.259 0.1909 -2.304e-01            -1.952              1.798 -0.9303000
## 831    5.366        -2.964e-01  0.4068000 -2.174 -1.906 2.446                 
## 2700   6.834 0.6043 -1.172e+00            -1.846                    -0.2578000
## 3781   5.295                    0.5875000                     2.142 -0.5456000
## 3778   5.591 0.5607                                           2.050 -0.6586000
## 3779   6.049        -6.537e-01                                2.006 -0.5136000
## 3184   5.571 0.9335 -6.408e-01  0.3265000 -2.399        2.332 2.100           
## 3692   5.667 0.9039 -6.623e-01            -2.418        2.344 1.993           
## 3517   7.946                   -0.2958000 -2.309 -2.455 2.703       -0.1726000
## 971    5.371        -2.457e-01            -1.959              1.817 -0.9098000
## 544    5.844 0.5396 -4.440e-01  0.6731000 -1.801 -1.689                       
## 970    5.150 0.1983                       -1.946              1.832 -0.9533000
## 1599   5.259        -2.661e-01  0.3820000 -2.174 -1.910 2.442                 
## 2828   6.745 0.5986 -1.208e+00            -1.865                              
## 3399   5.719        -7.284e-01  0.6906000                     2.188           
## 1340   5.398 0.9521 -4.602e-02            -2.247 -2.126 2.763                 
## 2887   5.077        -8.913e-01  0.7638000                     1.966           
## 1300   5.854 0.5149 -2.179e-01                   -1.821                       
## 3223   8.207        -7.311e-01  0.1673000        -2.112             -0.6614000
## 1292   6.105 0.3231 -5.023e-01            -1.865                              
## 1324   4.722 0.7204 -3.348e-01            -2.198        2.471                 
## 2495   7.717        -8.395e-01 -0.1267000 -2.281 -2.373 2.673        0.0076030
## 1853   5.283                    0.3742000 -2.175 -1.938 2.470                 
## 3475   8.300        -7.099e-01                   -2.132             -0.6895000
## 3746   4.496 1.0670                                     2.171       -0.2586000
## 3398   5.042 0.5977             0.7134000                     2.219           
## 2376   5.026 0.5594 -8.410e-01  0.8281000                     2.075           
## 3152   6.602 0.5348 -7.486e-01  0.5271000 -2.086              2.338           
## 3112   5.028 1.1170 -8.798e-01  0.4277000               2.206                 
## 2716   8.093 0.8558 -9.673e-01            -1.845 -2.131             -0.4585000
## 3763   6.702        -6.989e-01                   -2.250 2.193       -0.2375000
## 3837   7.255                   -0.0840800 -2.457 -2.241 2.456 1.998 -0.1488000
## 3581   7.316                   -0.0779300 -2.459 -2.245 2.461 2.014 -0.1515000
## 4089   7.216                              -2.450 -2.230 2.450 2.007 -0.1377000
## 431    5.109        -4.456e-01  0.5213000 -2.094        2.210       -0.4209000
## 2965   6.874                    0.2167000        -2.066             -0.6981000
## 1199   5.121        -3.926e-01  0.4856000 -2.101        2.203       -0.4482000
## 3599   7.076        -1.149e+00  0.3144000 -1.872                              
## 3874   4.346 1.0660                                     2.212                 
## 3436   5.853 0.9073 -6.348e-01            -2.433        2.364 2.078           
## 2758   4.478 0.5628             0.7537000                     2.017 -0.5256000
## 3308   5.806 0.9103 -6.370e-01            -2.437        2.371 2.076  0.0432500
## 3965   7.200                   -0.0611600 -2.468 -2.233 2.482 1.999           
## 3891   6.645        -7.489e-01                   -2.236 2.231                 
## 3639   6.557        -7.449e-01  0.0639400        -2.230 2.222                 
## 1182   6.984 0.6587             0.4739000 -1.749 -1.932             -1.1550000
## 1851   5.568        -2.390e-01            -2.217 -1.940 2.489                 
## 3522   5.788 0.5732                                           2.156 -0.6915000
## 3723   7.385        -1.089e+00            -1.885                    -0.2538000
## 3461   6.328                    0.3782000                           -0.6190000
## 3525   5.559                    0.5944000                     2.255 -0.5774000
## 160    6.907 0.6392 -2.398e-01  0.5241000 -1.741 -1.908             -1.0970000
## 3660   6.801 0.4842 -7.773e-01            -2.118              2.185           
## 2756   5.467 0.4962 -8.037e-01                                1.855 -0.4879000
## 439    5.305        -8.016e-02  0.4772000        -2.014 2.037       -0.8715000
## 798    5.702 0.5545             0.6534000 -1.788 -1.737                       
## 1566   5.712 0.5595             0.6396000 -1.793 -1.736                       
## 1461   5.315                    0.4627000        -2.023 2.040       -0.8868000
## 2726   3.776 1.0570             0.4655000               2.148       -0.1781000
## 1207   5.280        -5.681e-02  0.4599000        -2.016 2.033       -0.8830000
## 3396   5.964 0.5375 -6.911e-01                                2.088           
## 3286   6.789 0.8539             0.3893000        -2.067       1.993 -0.7858000
## 3663   6.602        -7.939e-01  0.4731000 -2.086              2.257           
## 2854   3.658 1.0620             0.4721000               2.175                 
## 3284   7.327 0.8215 -4.130e-01                   -2.085       1.917 -0.7707000
## 3907   5.928        -7.562e-01                                1.987           
## 2592   7.790 0.8563 -1.054e+00  0.2484000 -1.856 -2.075                       
## 3851   7.351        -1.142e+00            -1.903                              
## 414    6.791 0.6544             0.4964000 -1.733 -1.936             -1.1290000
## 3909   5.063                    0.6606000                     2.143           
## 3005   6.882                   -0.1521000 -2.240 -2.363 2.645       -0.0956000
## 1749   5.115                    0.7690000        -1.623       1.641 -1.1430000
## 1453   5.065                    0.4546000 -2.097        2.226       -0.4892000
## 981    5.065                    0.8017000        -1.624       1.634 -1.1160000
## 3523   6.314        -5.954e-01                                2.140 -0.5610000
## 2703   6.832        -1.190e+00  0.3642000 -1.832                    -0.1751000
## 3292   8.298 0.7659 -4.862e-01            -2.091 -2.070       2.128 -0.5801000
## 3276   7.113 0.5073 -6.595e-01            -2.107              2.308 -0.4021000
## 3236   5.387 1.0870 -8.298e-01                          2.209       -0.1768000
## 1238   5.190 0.5371             0.8394000        -1.708       1.715 -1.2530000
## 727    5.029        -2.538e-02  0.7870000        -1.623       1.627 -1.1200000
## 1327   4.943        -4.645e-01  0.5754000 -2.133        2.278                 
## 3738   8.176 0.9417                       -1.847 -2.223             -0.6594000
## 2844   7.908 0.8440 -1.032e+00            -1.878 -2.102                       
## 2831   6.799        -1.227e+00  0.3899000 -1.843                              
## 1104   4.669 0.2389 -2.294e-01  1.0000000 -1.972              2.069           
## 2455   7.801        -8.146e-01  0.2418000        -2.095             -0.6221000
## 2503   5.414        -7.672e-01  0.7290000                     2.119 -0.4125000
## 3364   5.298 1.0870 -8.550e-01                          2.236                 
## 1482   5.762 0.2083                       -1.990              2.025 -1.0720000
## 1228   5.746 0.2100 -1.937e-02            -1.990              2.020 -1.0710000
## 2743   6.349        -7.881e-01  0.1124000        -2.222 2.186       -0.1910000
## 1358   4.664 0.2364             1.0010000 -1.972              2.109           
## 3228   9.006 0.9540 -7.745e-01            -1.881 -2.247             -0.5815000
## 1359   4.912        -2.599e-01  0.9934000 -1.981              2.099           
## 3861   6.973                    0.2293000        -2.034                       
## 2995   6.427        -7.830e-01                   -2.235 2.196       -0.2062000
## 216    5.035 0.5330  6.926e-02  0.8592000        -1.719       1.713 -1.2340000
## 3794   6.997 0.8227                              -2.090       1.904 -0.8232000
## 470    5.082 0.5277             0.8700000        -1.711       1.708 -1.2230000
## 2216   4.769 1.0840 -9.527e-01  0.4962000               2.185       -0.0779400
## 799    6.229        -4.998e-01  0.6233000 -1.816 -1.644                       
## 2344   4.713 1.0870 -9.576e-01  0.4963000               2.196                 
## 2224   5.684 1.0810 -1.064e+00  0.2944000 -2.207        2.594        0.1767000
## 336    4.639 0.2241 -3.150e-01  1.0450000 -1.954              2.054           
## 1843   4.592        -2.101e-01                   -1.890 2.128                 
## 3694   5.078 0.9329             0.3064000 -2.383        2.344 2.099           
## 2871   6.276        -8.248e-01  0.1376000        -2.209 2.214                 
## 4033   5.759                                                  2.092 -0.6276000
## 2352   5.707 1.0870 -1.025e+00  0.2675000 -2.192        2.563                 
## 1332   4.446 0.9285 -1.350e-02                   -2.078 2.397                 
## 1483   5.873        -3.712e-02            -1.998              2.043 -1.0480000
## 1567   6.121        -4.858e-01  0.6083000 -1.814 -1.647                       
## 3279   6.927        -6.918e-01  0.4406000 -2.085              2.378 -0.3093000
## 3538   7.073 0.8368                              -2.111       1.954 -0.8421000
## 2886   4.228 0.5518             0.8003000                     2.019           
## 1451   5.474        -3.393e-01            -2.145        2.239       -0.5390000
## 3787   7.057        -7.167e-01            -2.106              2.233 -0.3330000
## 1348   4.396 0.1737 -1.323e-01                                1.780           
## 3906   5.313 0.5355                                           2.043           
## 3316   6.063 1.2550 -3.575e-01                   -2.356 2.304 1.636 -0.3901000
## 1180   7.390 0.5981 -1.189e-01            -1.792 -1.953             -1.2290000
## 2884   5.302 0.4839 -8.771e-01                                1.844           
## 1434   7.308 0.6105                       -1.788 -1.965             -1.2450000
## 2955   7.072        -1.176e+00            -1.860                    -0.2242000
## 2502   4.674 0.5758             0.7506000                     2.140 -0.5647000
## 3438   5.235 0.9363             0.3128000 -2.395        2.359 2.167           
## 3310   5.231 0.9387             0.3057000 -2.393        2.353 2.165 -0.0289600
## 2476   5.824 1.0630 -1.039e+00            -2.232        2.609        0.1386000
## 3278   6.384 0.5512             0.4583000 -2.052              2.408 -0.4552000
## 2978   4.026 1.0260                                     2.166       -0.2372000
## 3404   7.031 0.4889 -7.328e-01            -2.135              2.306           
## 3351   7.927        -8.532e-01  0.2519000        -2.064                       
## 3755   6.252        -1.033e+00            -2.240        2.338        0.1945000
## 1459   5.594         5.482e-03                   -2.061 2.062       -0.9793000
## 3192   5.693 1.2630 -4.395e-01  0.2981000        -2.304 2.335 1.654           
## 3883   6.395        -1.014e+00            -2.224        2.309                 
## 3294   7.883 0.7881             0.2024000 -2.062 -2.077       2.192 -0.6371000
## 3407   6.883        -7.598e-01  0.4901000 -2.103              2.382           
## 3818   5.337 0.9121                       -2.411        2.364 2.076 -0.0472000
## 3946   5.327 0.9102                       -2.415        2.373 2.076           
## 3631   6.252        -1.004e+00  0.0937000 -2.212        2.294                 
## 3318   5.694 1.2750             0.2358000        -2.350 2.294 1.694 -0.4194000
## 2862   4.608 1.0640             0.2454000 -2.152        2.542                 
## 3662   5.992 0.5307             0.5039000 -2.064              2.320           
## 2734   4.622 1.0560             0.2653000 -2.154        2.552        0.0512300
## 3802   7.976 0.7708                       -2.074 -2.086       2.139 -0.6530000
## 3477   7.889                    0.1056000        -2.167             -0.7961000
## 412    7.200 0.5891 -1.739e-01            -1.779 -1.953             -1.2000000
## 3915   7.012        -7.878e-01            -2.129              2.223           
## 3011   5.623        -7.940e-01                                1.899 -0.4643000
## 3546   8.021 0.7809                       -2.078 -2.100       2.173 -0.6652000
## 3623   5.092        -9.688e-01  0.3522000               1.917                 
## 3013   4.711                    0.6930000                     2.059 -0.5049000
## 3826   5.824 1.2580                              -2.367 2.305 1.643 -0.4414000
## 3168   7.899 0.7571 -6.052e-01  0.2963000 -2.105 -2.002       2.149           
## 3700   5.828 1.2400 -4.471e-01                   -2.320 2.351 1.579           
## 3160   6.695 0.8183 -5.751e-01  0.5050000        -1.983       1.952           
## 1469   6.209                    0.2636000 -2.146 -2.070 2.431       -0.7075000
## 3786   6.574 0.5091                       -2.078              2.286 -0.4884000
## 3570   5.860 1.2670                              -2.379 2.310 1.669 -0.4508000
## 1215   6.174        -8.167e-02  0.2624000 -2.147 -2.061 2.422       -0.7011000
## 2986   4.747 1.0440                       -2.178        2.565        0.0191400
## 742    2.685 0.6471             0.9259000               1.711 1.552 -0.6907000
## 3562   5.484 0.9177                       -2.421        2.376 2.142 -0.0640000
## 1564   6.266 0.4556 -3.828e-01            -1.862 -1.730                       
## 796    6.271 0.4496 -4.026e-01            -1.860 -1.729                       
## 2640   5.854 0.4843 -9.482e-01  0.6415000 -2.006              2.109           
## 447    6.126        -1.369e-01  0.2977000 -2.138 -2.058 2.427       -0.6718000
## 3676   8.018 0.7298 -6.203e-01            -2.123 -2.011       2.063           
## 2855   4.944        -1.035e+00  0.4139000               1.915                 
## 3444   5.907 1.2490 -4.235e-01                   -2.339 2.364 1.625           
## 460    5.531 0.1888 -1.417e-01            -1.965              1.974 -1.0130000
## 1821   6.066                    0.5758000 -1.809 -1.696                       
## 3765   6.445                   -0.0133800        -2.304 2.218       -0.3591000
## 2727   4.902        -1.019e+00  0.3975000               1.912       -0.0046220
## 4017   6.436                                     -2.302 2.218       -0.3573000
## 2500   5.641 0.5119 -7.300e-01                                2.003 -0.5444000
## 648    4.487 0.5141 -5.302e-01  0.8145000                           -0.8313000
## 2468   5.021 1.0490 -9.163e-01                          2.205       -0.1456000
## 3531   7.307        -6.705e-01            -2.120              2.349 -0.3717000
## 1467   6.397        -5.303e-02            -2.171 -2.087 2.445       -0.7518000
## 1493   5.475                    0.7985000        -1.658       1.777 -1.2040000
## 1239   5.387         1.095e-01  0.7739000        -1.670       1.784 -1.2230000
## 3702   5.383 1.2650             0.2819000        -2.317 2.348 1.660           
## 3875   5.386        -9.621e-01                          1.952                 
## 3420   8.133 0.7379 -5.902e-01            -2.132 -2.034       2.127           
## 3747   5.358        -9.373e-01                          1.936       -0.0799700
## 3104   8.751 0.9339 -8.890e-01  0.1333000 -1.908 -2.196                       
## 3406   6.203 0.5351             0.5090000 -2.078              2.418           
## 3356   8.790 0.9312 -8.705e-01            -1.920 -2.211                       
## 2735   5.823        -1.129e+00  0.1967000 -2.199        2.322        0.2476000
## 1183   7.350        -2.298e-01  0.4217000 -1.774 -1.857             -1.0670000
## 3446   5.454 1.2710             0.2789000        -2.331 2.357 1.694           
## 3507   7.131        -6.408e-01                   -2.327 2.245       -0.2928000
## 3255   7.116        -6.400e-01  0.0082940        -2.326 2.243       -0.2919000
## 471    5.310         3.365e-02  0.8158000        -1.667       1.768 -1.1830000
## 3789   6.396                    0.4084000 -2.057              2.357 -0.4049000
## 3722   6.690 0.6741                       -1.835                    -0.4836000
## 3530   6.747 0.5183                       -2.089              2.375 -0.5144000
## 1746   5.533 0.4557                              -1.738       1.486 -1.3420000
## 1818   6.157 0.4766                       -1.855 -1.769                       
## 415    7.251        -2.787e-01  0.4498000 -1.764 -1.854             -1.0400000
## 2987   5.979        -1.131e+00            -2.217        2.341        0.2273000
## 3374   5.640 1.1480             0.1259000 -2.227        2.635                 
## 2863   5.947        -1.099e+00  0.1865000 -2.176        2.283                 
## 3668   6.930 0.7743 -5.912e-01                   -2.006       1.825           
## 1437   7.312                    0.3966000 -1.770 -1.882             -1.0980000
## 3246   5.696 1.1440             0.1307000 -2.224        2.630       -0.0377100
## 750    3.458 0.6136             0.7596000 -2.182        2.085 1.701 -0.4949000
## 3739   8.745        -8.794e-01            -1.893 -2.050             -0.4382000
## 3893   6.240                    0.0284600        -2.285 2.273                 
## 3498   5.750 1.1400                       -2.236        2.635       -0.0535900
## 3866   7.850 0.9165                       -1.889 -2.185                       
## 3614   7.825 0.9160             0.1113000 -1.879 -2.172                       
## 3954   5.581 1.2530                              -2.350 2.375 1.631           
## 2672   4.863 0.8735 -8.425e-01  0.4554000 -2.312        2.288 1.899           
## 3010   4.937 0.5102                                           1.942 -0.6254000
## 3238   4.704 1.1340             0.3663000               2.214       -0.2665000
## 3383   6.995        -6.951e-01  0.0464500        -2.309 2.286                 
## 3670   6.246 0.8155             0.4847000        -1.990       1.942           
## 724    5.370 0.4482  6.201e-02                   -1.750       1.475 -1.3200000
## 2264   6.470 0.7945 -6.076e-01  0.5444000        -2.006       1.875 -0.6341000
## 978    5.388 0.4467                              -1.743       1.465 -1.3140000
## 1612   5.011 0.1291 -2.552e-01            -2.030              1.781           
## 2979   5.165        -1.010e+00                          1.941       -0.0537400
## 1867   5.153        -2.757e-01            -2.035              1.796           
## 3598   6.242 0.6837             0.3436000 -1.833                              
## 3914   6.388 0.4893                       -2.109              2.285           
## 1819   6.535        -4.277e-01            -1.871 -1.690                       
## 3366   4.530 1.1370             0.3862000               2.255                 
## 1866   4.968 0.1309                       -2.030              1.827           
## 2767   6.140        -9.073e-01  0.5701000 -2.011              2.150 -0.2005000
## 3533   6.623                    0.4137000 -2.070              2.451 -0.4302000
## 3412   7.069 0.7868 -5.484e-01                   -2.037       1.909           
## 844    4.950 0.1132 -3.383e-01            -2.013              1.749           
## 3917   6.241                    0.4619000 -2.079              2.360           
## 3414   6.386 0.8253             0.4803000        -2.015       2.008           
## 3482   8.552 0.9879                       -1.852 -2.301             -0.7190000
## 1670   4.335 0.5368             0.7681000                           -0.8946000
## 2895   6.096        -9.484e-01  0.5971000 -2.023              2.147           
## 1435   7.634        -1.690e-01            -1.807 -1.896             -1.1580000
## 3678   7.479 0.7569             0.2772000 -2.091 -2.018       2.162           
## 902    4.312 0.5312             0.7828000                           -0.8820000
## 2256   6.148 0.4943 -8.635e-01  0.6332000 -2.003              2.247 -0.2641000
## 3088   7.399 0.7051 -1.075e+00  0.3727000 -1.869                              
## 903    4.847        -5.846e-01  0.7753000                           -0.7787000
## 4041   6.741                              -2.091              2.326 -0.4592000
## 3490   4.921 1.1130                                     2.228       -0.3138000
## 3212   7.775 0.6886 -9.906e-01            -1.878                    -0.3870000
## 3850   6.471 0.6586                       -1.866                              
## 3615   8.548        -9.663e-01  0.0718600 -1.916 -2.013                       
## 1671   4.720        -5.776e-01  0.7631000                           -0.7786000
## 3230   8.652 0.9759             0.0157000 -1.852 -2.298             -0.7163000
## 3867   8.622        -9.654e-01            -1.923 -2.020                       
## 3422   7.572 0.7644             0.2715000 -2.099 -2.035       2.208           
## 1646   3.298 0.6016             0.8019000 -2.236        2.160 1.698           
## 624    3.289 0.5903 -2.375e-01  0.8327000 -2.221        2.147 1.651           
## 2815   6.748        -6.739e-01  0.0981700 -2.392 -2.163 2.438 1.813  0.0227900
## 2460   8.455 0.9075 -8.810e-01            -1.843 -2.229             -0.5430000
## 2943   6.756        -6.696e-01  0.0956400 -2.390 -2.165 2.434 1.813           
## 2997   5.956                    0.0699500        -2.285 2.216       -0.3279000
## 878    3.244 0.5876             0.8442000 -2.218        2.165 1.690           
## 3067   6.813        -6.685e-01            -2.400 -2.176 2.448 1.802  0.0102000
## 2384   6.057 0.4893 -9.027e-01  0.6541000 -2.020              2.248           
## 2772   6.701 0.7462 -6.268e-01                   -2.030       1.725 -0.6753000
## 1747   5.659         1.113e-01                   -1.703       1.558 -1.3090000
## 2648   6.061 0.7653 -7.518e-01  0.6071000        -1.922       1.776           
## 2208   8.434 0.9050 -9.212e-01  0.1938000 -1.828 -2.204             -0.5089000
## 1335   4.755        -1.870e-01  0.6298000        -1.932 2.153                 
## 2970   7.493 0.8934                       -1.803 -2.205             -0.6332000
## 2001   5.723                                     -1.693       1.541 -1.2940000
## 3930   7.685 0.7417                       -2.116 -2.047       2.139           
## 2487   6.739        -7.323e-01  0.0922700        -2.306 2.242       -0.2498000
## 3287   7.233        -4.568e-01  0.3541000        -1.943       2.018 -0.6601000
## 2288   4.978 0.8788 -8.357e-01  0.4825000 -2.340        2.340 2.007  0.1554000
## 870    2.343 0.6144             1.0420000               1.814 1.530           
## 616    2.368 0.6188 -2.153e-01  1.0280000               1.796 1.493           
## 2764   6.375 0.4334 -8.975e-01            -2.036              2.055 -0.2987000
## 2774   5.967 0.7902             0.5215000        -2.014       1.846 -0.7120000
## 2718   7.466 0.8861             0.1689000 -1.788 -2.182             -0.6071000
## 2416   5.017 0.8810 -8.066e-01  0.4647000 -2.327        2.313 2.008           
## 2796   5.126 0.8348 -8.647e-01            -2.366        2.354 1.850  0.1350000
## 2559   6.853        -6.478e-01  0.0965300 -2.399 -2.187 2.451 1.871  0.0023680
## 997    3.140                    0.8848000               1.596 1.632 -0.6526000
## 979    5.549         3.626e-02                   -1.702       1.524 -1.2720000
## 3795   7.364        -4.693e-01                   -1.959       1.911 -0.6864000
## 2924   5.140 0.8402 -8.350e-01            -2.354        2.330 1.855           
## 3340   7.644 0.6763 -1.052e+00            -1.904                              
## 1343   5.800        -1.893e-01  0.3961000 -2.195 -1.995 2.526                 
## 1638   2.286 0.6261             1.0140000               1.809 1.526           
## 1254   3.076 0.6516             0.9333000               1.721 1.712 -0.7763000
## 743    3.145        -1.739e-01  0.8691000               1.580 1.601 -0.6487000
## 3803   8.370        -5.325e-01            -2.105 -1.957       2.138 -0.5058000
## 3922   6.603 0.7873                              -2.041       1.897           
## 1765   3.147                    0.8462000               1.582 1.635 -0.6816000
## 1262   3.927 0.6210             0.7462000 -2.218        2.094 1.859 -0.5911000
## 1236   5.775 0.4684  2.351e-01                   -1.798       1.650 -1.4420000
## 3695   5.873        -6.851e-01  0.2575000 -2.385        2.124 2.096           
## 2702   5.887 0.6538             0.4046000 -1.761                    -0.4085000
## 486    3.004 0.6403             0.9700000               1.733 1.709 -0.7436000
## 2719   8.288        -9.904e-01  0.1182000 -1.855 -2.018             -0.3845000
## 3509   6.856                   -0.0399800        -2.375 2.264       -0.4053000
## 3295   8.348        -5.163e-01  0.1720000 -2.098 -1.957       2.210 -0.5016000
## 232    2.990 0.6444 -7.139e-02  0.9593000               1.726 1.694 -0.7444000
## 2892   6.266 0.4281 -9.384e-01            -2.057              2.051           
## 2971   8.346        -9.760e-01            -1.864 -2.033             -0.4037000
## 2516   6.781 0.7705 -5.606e-01                   -2.071       1.818 -0.7193000
## 2518   6.076 0.8107             0.4992000        -2.049       1.918 -0.7435000
## 2680   5.115 1.2040 -6.129e-01  0.4111000        -2.249 2.304 1.512           
## 3797   6.889                    0.3302000        -1.950       2.002 -0.7215000
## 1490   5.853 0.4568                              -1.777       1.618 -1.4130000
## 3547   8.509        -5.062e-01            -2.112 -1.978       2.197 -0.5276000
## 3947   6.141        -6.911e-01            -2.414        2.158 2.076           
## 1773   4.009                    0.6651000 -2.209        1.961 1.793 -0.5052000
## 3539   7.525        -4.307e-01                   -1.986       1.988 -0.7169000
## 2296   5.353 1.2140 -5.420e-01  0.3880000        -2.293 2.284 1.584 -0.2811000
## 3819   6.030        -6.919e-01            -2.420        2.168 2.072  0.0884200
## 2470   4.176 1.1010             0.4446000               2.209       -0.2378000
## 2192   7.093 0.6760 -1.126e+00  0.4383000 -1.810                    -0.2916000
## 751    3.920        -2.144e-01  0.7077000 -2.195        1.961 1.742 -0.4490000
## 1005   3.892                    0.7202000 -2.191        1.977 1.778 -0.4579000
## 2336   8.197 0.8988 -9.867e-01  0.2240000 -1.863 -2.173                       
## 2392   6.209 0.7786 -7.046e-01  0.6045000        -1.962       1.879           
## 3541   7.045                    0.3279000        -1.972       2.063 -0.7421000
## 3439   6.115        -6.660e-01  0.2772000 -2.401        2.147 2.191           
## 494    3.759 0.6068             0.8000000 -2.196        2.108 1.848 -0.5421000
## 240    3.771 0.6091 -1.187e-01  0.7924000 -2.199        2.099 1.828 -0.5382000
## 3725   6.720                    0.2293000 -1.826                    -0.4140000
## 2830   5.678 0.6505             0.4269000 -1.787                              
## 468    5.590 0.4562  1.509e-01                   -1.800       1.615 -1.3990000
## 1925   4.656                    0.7127000                           -0.8497000
## 3311   6.001        -6.668e-01  0.2681000 -2.408        2.159 2.185  0.0930500
## 2954   6.096 0.6303                       -1.794                    -0.4609000
## 2511   6.364        -8.585e-01  0.5810000 -2.022              2.287 -0.2448000
## 2424   5.198 1.2180 -5.765e-01  0.4044000        -2.280 2.324 1.579           
## 2847   8.140        -1.056e+00  0.1581000 -1.880 -1.989                       
## 776    4.164 0.4517 -6.474e-01  0.9642000                                     
## 2804   5.508 1.1830 -5.554e-01                   -2.311 2.298 1.475 -0.3079000
## 1544   3.979 0.4566 -6.590e-01  0.9601000                                     
## 2320   6.968 0.6744 -1.162e+00  0.4536000 -1.830                              
## 4049   7.164                                     -1.990       1.971 -0.7706000
## 3019   6.514        -8.886e-01            -2.049              2.095 -0.2770000
## 3977   6.888                              -1.846                    -0.4448000
## 3679   8.014        -6.398e-01  0.2364000 -2.117 -1.898       2.143           
## 3026   6.277 0.7706                              -2.075       1.789 -0.7873000
## 3671   6.775        -6.196e-01  0.4413000        -1.864       1.927           
## 3563   6.278        -6.637e-01            -2.435        2.188 2.167  0.0624500
## 854    4.147 0.4456             1.0340000        -1.547       1.566           
## 2540   5.271 0.8471 -8.128e-01            -2.379        2.374 1.963  0.0972600
## 600    4.143 0.4504 -1.445e-01  1.0230000        -1.535       1.541           
## 1770   4.179 0.5487                       -2.260        2.117 1.641 -0.6516000
## 879    3.789        -3.009e-01  0.8018000 -2.227        2.036 1.719           
## 2548   5.554 1.2030 -5.062e-01                   -2.342 2.311 1.540 -0.3377000
## 2932   5.336 1.1870 -5.910e-01                   -2.299 2.343 1.465           
## 1622   4.100 0.4550             1.0130000        -1.548       1.562           
## 1901   3.796                    0.7639000 -2.244        2.050 1.780           
## 3805   8.023                    0.1459000 -2.081 -1.975       2.217 -0.5814000
## 2846   7.127 0.8783             0.2039000 -1.827 -2.147                       
## 3931   8.238        -6.352e-01            -2.138 -1.924       2.125           
## 1491   5.951         2.026e-01                   -1.749       1.700 -1.3890000
## 2766   5.409 0.4885             0.6053000 -1.962              2.205 -0.3775000
## 4057   8.149                              -2.093 -1.992       2.205 -0.6021000
## 1668   5.005 0.4220 -4.459e-01                                      -0.9854000
## 3423   8.190        -6.172e-01  0.2427000 -2.127 -1.919       2.215           
## 3749   4.732                    0.2922000               1.942       -0.1992000
## 900    4.992 0.4162 -4.659e-01                                      -0.9758000
## 3549   8.131                    0.1433000 -2.087 -1.990       2.259 -0.5951000
## 1647   3.744        -2.156e-01  0.7513000 -2.240        2.031 1.735           
## 2444   7.307 0.6469 -1.088e+00            -1.844                    -0.3532000
## 2508   6.539 0.4477 -8.297e-01            -2.047              2.193 -0.3497000
## 3853   6.530                    0.2749000 -1.848                              
## 871    2.891        -2.825e-01  0.9965000               1.679 1.564           
## 2806   4.938 1.2120             0.3687000        -2.305 2.286 1.574 -0.3553000
## 1390   3.669 0.5905             0.8501000 -2.260        2.192 1.856           
## 3877   4.647                    0.3200000               1.975                 
## 2272   7.451 0.7187 -7.002e-01  0.3934000 -2.002 -2.006       2.047 -0.4643000
## 2900   6.431 0.7267 -7.274e-01                   -1.987       1.714           
## 1056   6.398 0.5638 -3.464e-01  0.6872000 -1.808 -1.785                       
## 288    6.385 0.5595 -3.690e-01  0.6997000 -1.803 -1.784                       
## 3215   7.815        -1.026e+00  0.2667000 -1.867                    -0.3077000
## 2775   6.562        -6.474e-01  0.4726000        -1.883       1.847 -0.5595000
## 3358   8.248 0.9579             0.0781500 -1.891 -2.255                       
## 2550   5.000 1.2300             0.3486000        -2.332 2.296 1.621 -0.3765000
## 1136   3.604 0.5968 -1.017e-01  0.8370000 -2.258        2.182 1.832           
## 3415   6.995        -5.874e-01  0.4488000        -1.893       2.021           
## 2780   7.595 0.6822 -7.211e-01            -2.023 -2.017       1.925 -0.4860000
## 1799   4.352        -7.079e-01  0.9226000                                     
## 2656   7.136 0.6958 -8.111e-01  0.4359000 -2.023 -1.939       1.962           
## 748    4.031 0.5308 -1.402e-01            -2.242        2.123 1.589 -0.5968000
## 1893   2.790                    0.9732000               1.693 1.609           
## 2478   5.005 1.1010             0.2400000 -2.167        2.613       -0.0062670
## 3069   6.379                    0.0689000 -2.373 -2.212 2.452 1.878 -0.0974400
## 4001   4.961                                            1.961       -0.2368000
## 1002   3.992 0.5318                       -2.240        2.131 1.611 -0.6066000
## 1639   2.754        -2.424e-01  0.9631000               1.673 1.561           
## 368    3.585 0.5803 -1.942e-01  0.8866000 -2.240        2.183 1.817           
## 3993   8.374                              -1.862 -2.114             -0.5973000
## 2894   5.225 0.4834             0.6297000 -1.986              2.208           
## 3741   8.445                   -0.0408600 -1.866 -2.118             -0.6027000
## 3885   5.782                    0.0608700 -2.199        2.352                 
## 3467   8.007        -1.005e+00            -1.890                    -0.3465000
## 3757   5.747                    0.0572500 -2.201        2.355        0.0243200
## 4009   5.815                              -2.208        2.361        0.0181500
## 2934   4.705 1.2180             0.3863000        -2.292 2.338 1.569           
## 855    4.464        -1.943e-01  0.9975000        -1.492       1.588           
## 1356   5.379 0.1162 -1.560e-01            -2.058              1.981           
## 3343   7.724        -1.085e+00  0.3046000 -1.885                              
## 2902   5.579 0.7738             0.5827000        -1.968       1.852           
## 3247   6.710        -9.684e-01  0.0912700 -2.246        2.392        0.1380000
## 1517   4.394                    0.7064000 -2.228        1.985 1.942 -0.5566000
## 3058   5.135 1.2050                              -2.352 2.310 1.531 -0.4050000
## 3499   6.818        -9.693e-01            -2.256        2.402        0.1281000
## 1310   6.300 0.5791             0.6588000 -1.804 -1.819                       
## 1509   3.546                    0.8889000               1.604 1.797 -0.7422000
## 3923   7.142        -6.044e-01                   -1.913       1.888           
## 3375   6.802        -9.522e-01  0.0858900 -2.234        2.371                 
## 1762   3.412 0.5614                                     1.743 1.454 -0.8656000
## 734    5.644 0.4490             0.7107000 -1.883 -1.668       1.744 -1.0430000
## 1922   4.870 0.4486                                                 -1.0370000
## 2926   4.292 0.8781             0.4433000 -2.299        2.324 1.984           
## 1877   4.409                    0.9807000        -1.509       1.618           
## 2798   4.301 0.8723             0.4580000 -2.301        2.332 1.985  0.0394100
## 3483   9.258        -8.041e-01            -1.897 -2.138             -0.5169000
## 2524   7.662 0.7047 -6.609e-01            -2.029 -2.053       2.008 -0.5248000
## 3231   9.300        -8.085e-01 -0.0135200 -1.899 -2.139             -0.5181000
## 3949   5.576                    0.2516000 -2.384        2.158 2.184           
## 1623   4.362        -1.634e-01  0.9717000        -1.497       1.585           
## 487    3.463        -1.244e-01  0.9183000               1.608 1.770 -0.7047000
## 1255   3.470        -5.095e-02  0.8720000               1.596 1.780 -0.7429000
## 1923   5.235        -4.864e-01                                      -0.9373000
## 1263   4.309        -5.880e-02  0.6880000 -2.227        1.976 1.923 -0.5573000
## 3821   5.530                    0.2377000 -2.384        2.154 2.181 -0.0045700
## 2981   4.360                    0.3649000               1.944       -0.1731000
## 740    3.321 0.5500 -8.625e-02                          1.749 1.422 -0.8299000
## 994    3.302 0.5498                                     1.755 1.435 -0.8353000
## 2957   6.168                    0.3195000 -1.783                    -0.3845000
## 3239   5.668        -8.865e-01  0.3253000               1.976       -0.1071000
## 2510   5.581 0.5023             0.5966000 -1.974              2.317 -0.4130000
## 360    2.681 0.6083 -1.665e-01  1.0880000               1.833 1.674           
## 3367   5.660        -9.128e-01  0.3459000               1.994                 
## 1382   2.670 0.6160             1.0670000               1.840 1.700           
## 2400   7.255 0.7095 -7.657e-01  0.4278000 -2.033 -1.975       2.052           
## 2519   6.730        -6.004e-01  0.4686000        -1.921       1.944 -0.5992000
## 1798   3.835 0.4772             0.9176000                                     
## 1128   2.620 0.6210 -1.160e-01  1.0560000               1.830 1.674           
## 4073   5.762                              -2.407        2.178 2.163 -0.0310700
## 3176   4.411 0.9388 -6.234e-01  0.5896000               1.950 1.918           
## 495    4.226        -1.706e-01  0.7544000 -2.208        1.990 1.900 -0.4990000
## 766    4.576 0.8332             0.5741000 -2.215 -1.921 2.352 1.457 -0.7159000
## 3925   6.513                    0.4244000        -1.900       2.004           
## 3021   5.609                    0.5455000 -1.982              2.243 -0.3592000
## 3565   5.734                    0.2493000 -2.396        2.169 2.257 -0.0205400
## 2025   4.552                              -2.266        2.017 1.716 -0.6144000
## 2908   7.396 0.6708 -7.887e-01            -2.057 -1.987       1.921           
## 3027   6.870        -6.175e-01                   -1.941       1.796 -0.6327000
## 2462   7.846 0.9371             0.1195000 -1.794 -2.275             -0.6799000
## 1757   6.042                    0.6287000 -1.923 -1.624       1.815 -1.0420000
## 1771   4.486        -7.580e-02            -2.263        2.008 1.698 -0.6094000
## 3933   7.735                    0.2182000 -2.112 -1.935       2.222           
## 3214   7.061 0.7317             0.2813000 -1.817                    -0.5215000
## 3491   5.915        -8.657e-01                          1.998       -0.1520000
## 2542   4.438 0.8853             0.4516000 -2.313        2.347 2.076  0.0134200
## 1898   3.898 0.5076                       -2.313        2.229 1.607           
## 2903   6.345        -7.484e-01  0.5394000        -1.840       1.841           
## 2447   7.397        -1.120e+00  0.3555000 -1.832                    -0.2677000
## 1644   3.862 0.5114 -1.244e-01            -2.311        2.218 1.581           
## 1246   6.120 0.4586             0.6902000 -1.917 -1.698       1.885 -1.1400000
## 1514   4.543 0.5418                       -2.281        2.138 1.786 -0.7138000
## 3018   5.778 0.4486                       -2.006              2.150 -0.4545000
## 1260   4.463 0.5502  5.054e-02            -2.279        2.137 1.789 -0.7213000
## 3466   7.199 0.7188                       -1.841                    -0.5578000
## 2471   5.405        -9.650e-01  0.3971000               1.979       -0.0724000
## 989    5.884                    0.6757000 -1.902 -1.627       1.796 -0.9994000
## 2799   5.262        -8.735e-01  0.3991000 -2.335        2.143 1.979  0.1917000
## 735    5.874        -7.560e-02  0.6670000 -1.904 -1.620       1.782 -0.9965000
## 1311   6.760        -3.891e-01  0.6240000 -1.824 -1.742                       
## 3050   4.567 0.8469                       -2.338        2.362 1.940 -0.0131100
## 1003   4.391        -1.857e-01            -2.248        2.023 1.653 -0.5571000
## 2782   6.910 0.7166             0.3713000 -1.971 -2.023       2.035 -0.5640000
## 876    3.822 0.4927 -2.146e-01            -2.294        2.220 1.549           
## 2927   5.361        -8.516e-01  0.3929000 -2.317        2.113 1.983           
## 3029   6.214                    0.4403000        -1.929       1.911 -0.6767000
## 3359   9.092        -9.034e-01  0.0478600 -1.929 -2.103                       
## 1391   4.116        -1.554e-01  0.8020000 -2.266        2.071 1.907           
## 1278   4.970 0.8427             0.5574000 -2.244 -1.947 2.361 1.576 -0.7964000
## 3684   4.634 0.8881 -6.474e-01                          1.974 1.756           
## 2664   3.834 0.8902 -7.919e-01  0.6751000               1.917 1.724           
## 1366   4.477 0.4457             1.0580000        -1.582       1.726           
## 3869   8.117                    0.0249500 -1.898 -2.078                       
## 3686   3.878 0.9355             0.5668000               1.958 1.888           
## 2526   6.990 0.7376             0.3440000 -1.980 -2.055       2.095 -0.5918000
## 344    4.454 0.4414 -8.700e-02  1.0720000        -1.578       1.710           
## 1112   4.424 0.4510 -4.666e-02  1.0490000        -1.580       1.712           
## 2479   6.314        -1.075e+00  0.1938000 -2.208        2.388        0.1818000
## 2017   3.770                                            1.638 1.528 -0.8291000
## 1763   3.719        -5.787e-02                          1.631 1.515 -0.8252000
## 478    5.918 0.4472             0.7357000 -1.893 -1.704       1.869 -1.0970000
## 3034   7.111 0.7083                       -1.998 -2.068       1.997 -0.6165000
## 224    5.899 0.4497  1.191e-02  0.7304000 -1.893 -1.706       1.869 -1.1000000
## 256    4.724 0.8432  1.463e-01  0.5803000 -2.223 -1.969 2.379 1.575 -0.7761000
## 510    4.827 0.8312             0.6029000 -2.226 -1.953 2.374 1.564 -0.7549000
## 995    3.679        -1.293e-01                          1.644 1.487 -0.7908000
## 3342   6.788 0.7218             0.3234000 -1.846                              
## 2989   5.199                    0.1610000 -2.155        2.348        0.0554200
## 3302   4.209 0.9451             0.5429000               1.932 1.982 -0.2743000
## 2783   7.547        -7.365e-01  0.3271000 -2.022 -1.895       2.025 -0.3957000
## 1308   6.827 0.4820 -2.710e-01            -1.872 -1.828                       
## 1786   5.165 0.7909                       -2.276 -1.964 2.380 1.410 -0.8427000
## 1754   6.390 0.3905                       -1.954 -1.719       1.690 -1.2050000
## 492    4.297 0.5285 -6.808e-02            -2.258        2.149 1.747 -0.6643000
## 3051   5.538        -8.690e-01            -2.367        2.181 1.937  0.1476000
## 1501   6.384                    0.6566000 -1.937 -1.655       1.942 -1.0970000
## 3300   4.919 0.9011 -5.590e-01                          1.957 1.877 -0.2498000
## 1247   6.297         9.131e-02  0.6330000 -1.936 -1.665       1.946 -1.1130000
## 2973   7.769                    0.0597100 -1.817 -2.094             -0.5678000
## 2463   8.763        -9.147e-01  0.0869500 -1.857 -2.116             -0.4707000
## 3430   4.083 0.9419             0.5752000               1.977 1.983           
## 1383   3.137        -1.692e-01  1.0180000               1.712 1.751           
## 1899   4.272        -1.736e-01            -2.314        2.119 1.646           
## 1252   3.714 0.5642  8.047e-02                          1.763 1.621 -0.9484000
## 1506   3.781 0.5570                                     1.762 1.612 -0.9389000
## 758    3.771 0.8632             0.7462000        -1.885 1.967 1.310 -0.9105000
## 2543   5.469        -8.398e-01  0.4155000 -2.347        2.164 2.095  0.1606000
## 3428   4.843 0.8967 -6.034e-01                          1.998 1.870           
## 764    4.925 0.7881  1.337e-01            -2.255 -1.987 2.399 1.400 -0.8217000
## 3035   7.755        -7.123e-01            -2.044 -1.936       1.993 -0.4455000
## 1018   5.011 0.7771                       -2.258 -1.972 2.394 1.383 -0.8049000
## 1367   4.733        -8.457e-02  1.0170000        -1.539       1.763           
## 2910   6.601 0.7070             0.4079000 -2.007 -1.989       2.041           
## 2527   7.689        -6.913e-01  0.3188000 -2.030 -1.930       2.111 -0.4317000
## 2911   7.394        -8.043e-01  0.3676000 -2.047 -1.866       2.023           
## 3648   7.241 1.4310 -7.164e-01 -0.1305000 -2.329 -2.515 2.937                 
## 1160   5.099 0.5400 -4.260e-01  0.8186000                           -0.9568000
## 1515   4.840         3.137e-03            -2.285        2.034 1.857 -0.6806000
## 392    5.077 0.5352 -4.492e-01  0.8318000                           -0.9443000
## 1276   5.296 0.8119  3.043e-01            -2.287 -2.025 2.412 1.549 -0.9290000
## 3810   4.440 0.8999                                     1.950 1.846 -0.3172000
## 3772   7.138 1.4390 -7.221e-01            -2.314 -2.501 2.922       -0.0091520
## 3900   7.133 1.4390 -7.234e-01            -2.315 -2.500 2.923                 
## 3485   8.937                   -0.0792400 -1.875 -2.200             -0.6686000
## 986    6.167 0.3771                       -1.930 -1.727       1.656 -1.1640000
## 732    6.175 0.3760 -2.559e-03            -1.930 -1.727       1.656 -1.1640000
## 484    3.587 0.5497 -3.270e-03                          1.773 1.591 -0.9064000
## 479    6.140        -1.895e-02  0.6928000 -1.913 -1.662       1.917 -1.0560000
## 2280   4.065 0.8973 -7.352e-01  0.6812000               1.927 1.853 -0.1118000
## 2009   6.575                              -1.968 -1.680       1.739 -1.1620000
## 1755   6.507         8.382e-02            -1.966 -1.688       1.750 -1.1740000
## 2408   4.020 0.8976 -7.523e-01  0.6911000               1.944 1.851           
## 894    4.192 0.7936             0.6904000 -2.265 -1.855 2.455 1.445           
## 1662   4.219 0.8054             0.6552000 -2.279 -1.852 2.450 1.451           
## 640    4.118 0.8030  7.143e-03  0.6703000 -2.266 -1.857 2.453 1.440           
## 1530   5.464 0.7885                       -2.292 -1.996 2.401 1.515 -0.8920000
## 3938   4.287 0.8963                                     2.003 1.838           
## 868    2.972 0.5012 -1.799e-01                          1.872 1.360           
## 1636   2.951 0.5131 -1.333e-01                          1.869 1.373           
## 1890   2.961 0.5117                                     1.880 1.398           
## 1796   4.574 0.3311 -5.733e-01                                                
## 2446   6.369 0.6972             0.3757000 -1.765                    -0.4900000
## 1414   4.980 0.5597             0.7749000                           -1.0100000
## 1244   6.620 0.4007  1.947e-01            -1.965 -1.771       1.837 -1.2920000
## 1388   4.198 0.5032 -4.288e-02            -2.340        2.259 1.752           
## 3493   5.284                    0.2727000               1.999       -0.2590000
## 3554   4.619 0.9103                                     1.963 1.936 -0.3427000
## 1498   6.703 0.3890                       -1.969 -1.754       1.812 -1.2680000
## 987    6.334        -2.574e-02            -1.945 -1.687       1.699 -1.1220000
## 3469   7.331                    0.2013000 -1.836                    -0.4917000
## 248    3.922 0.8757  1.905e-01  0.7520000        -1.942 1.998 1.443 -0.9813000
## 508    5.122 0.7932  1.939e-01            -2.267 -2.027 2.423 1.508 -0.8755000
## 1270   4.093 0.8704             0.7494000        -1.918 1.980 1.431 -0.9807000
## 502    4.045 0.8615             0.7784000        -1.921 1.990 1.429 -0.9556000
## 2788   4.312 0.8366 -7.639e-01                          1.947 1.658 -0.1547000
## 3501   6.280                    0.0371200 -2.219        2.412       -0.0306200
## 2916   4.232 0.8393 -7.822e-01                          1.971 1.653           
## 1507   4.069         3.712e-02                          1.655 1.689 -0.9086000
## 2790   3.431 0.8898             0.6535000               1.922 1.809 -0.2031000
## 1415   5.426        -4.666e-01  0.7640000                           -0.9094000
## 2918   3.312 0.8927             0.6662000               1.953 1.805           
## 3037   7.135                    0.2891000 -2.000 -1.948       2.096 -0.5313000
## 1406   4.543 0.7987             0.6938000 -2.299 -1.880 2.481 1.576           
## 1499   6.795         1.634e-01            -1.980 -1.729       1.882 -1.2450000
## 3827   6.404        -4.188e-01                   -2.158 2.015 1.721 -0.3374000
## 3687   4.669        -6.796e-01  0.5178000               1.738 1.885           
## 3264   7.589 1.4650 -6.619e-01 -0.1541000 -2.339 -2.585 2.984       -0.0734600
## 3392   7.524 1.4680 -6.681e-01 -0.1536000 -2.345 -2.582 2.995                 
## 3319   6.365        -4.059e-01  0.1909000        -2.153 2.007 1.792 -0.3296000
## 1152   4.397 0.8133  1.284e-01  0.6658000 -2.299 -1.894 2.487 1.580           
## 1874   4.813 0.3379                              -1.611       1.434           
## 1789   5.173                    0.4708000 -2.241 -1.826 2.176 1.583 -0.7023000
## 1620   4.800 0.3393 -5.877e-02                   -1.607       1.422           
## 1891   3.340        -1.788e-01                          1.768 1.437           
## 852    4.786 0.3315 -9.534e-02                   -1.607       1.410           
## 3516   7.431 1.4770 -6.687e-01            -2.323 -2.567 2.970       -0.0542600
## 1021   5.077                    0.5196000 -2.225 -1.829 2.191 1.569 -0.6609000
## 3703   6.092        -4.917e-01  0.2308000        -2.113 2.041 1.727           
## 476    6.391 0.3825  7.933e-02            -1.940 -1.774       1.790 -1.2360000
## 3571   6.552        -3.981e-01                   -2.178 2.027 1.776 -0.3558000
## 384    4.364 0.7993  4.591e-02  0.7089000 -2.281 -1.893 2.487 1.565           
## 3053   4.763                    0.3825000 -2.308        2.155 2.069  0.0427400
## 767    5.002         4.227e-02  0.4935000 -2.225 -1.835 2.186 1.570 -0.6772000
## 3447   6.262        -4.754e-01  0.2414000        -2.133 2.058 1.790           
## 3955   6.311        -4.896e-01                   -2.140 2.069 1.705           
## 1630   5.146 0.3826             0.8453000 -1.953 -1.552       1.749           
## 3829   6.094                    0.1693000        -2.165 2.009 1.791 -0.3884000
## 608    5.117 0.3742 -1.831e-01  0.8709000 -1.942 -1.540       1.712           
## 862    5.092 0.3719             0.8781000 -1.937 -1.556       1.741           
## 1875   4.995        -8.691e-02                   -1.574       1.461           
## 3573   6.218                    0.1735000        -2.179 2.018 1.834 -0.3998000
## 4081   6.254                                     -2.186 2.025 1.774 -0.4105000
## 2534   3.602 0.9024             0.6527000               1.938 1.915 -0.2341000
## 3774   7.004 1.4550            -0.1799000 -2.311 -2.579 2.964       -0.1581000
## 3902   6.881 1.4580            -0.1738000 -2.324 -2.573 2.988                 
## 1778   4.384 0.8015                              -1.947 2.002 1.222 -1.0570000
## 756    4.204 0.8055  1.859e-01                   -1.972 2.021 1.233 -1.0550000
## 2532   4.470 0.8514 -7.026e-01                          1.966 1.787 -0.2002000
## 4026   6.807 1.4700                       -2.292 -2.559 2.947       -0.1371000
## 3303   4.948        -6.038e-01  0.5035000               1.734 2.008 -0.1647000
## 3431   4.952        -6.477e-01  0.5391000               1.763 2.009           
## 1914   4.739 0.7332                       -2.343 -1.900 2.515 1.371           
## 1010   4.305 0.7927                              -1.951 2.011 1.208 -1.0330000
## 1533   5.504                    0.5033000 -2.256 -1.855 2.200 1.695 -0.7436000
## 1660   4.615 0.7474  1.147e-01            -2.342 -1.911 2.519 1.383           
## 1279   5.358         1.865e-01  0.4624000 -2.254 -1.874 2.200 1.707 -0.7750000
## 2041   5.610                              -2.282 -1.872 2.223 1.524 -0.7825000
## 1885   5.430                    0.8200000 -1.968 -1.519       1.799           
## 863    5.396        -2.269e-01  0.8505000 -1.955 -1.504       1.753           
## 1787   5.472         1.727e-01            -2.278 -1.888 2.222 1.548 -0.8082000
## 3811   5.096        -6.260e-01                          1.756 1.848 -0.1942000
## 664    5.500 0.6742 -2.529e-01  0.6566000        -1.806             -1.1120000
## 3957   5.895                    0.2204000        -2.143 2.069 1.787           
## 1631   5.380        -1.570e-01  0.8105000 -1.967 -1.507       1.767           
## 3004   6.645 1.3780 -8.460e-01            -2.275 -2.470 2.903        0.0352200
## 2880   6.667 1.3780 -8.391e-01 -0.0178300 -2.274 -2.474 2.899                 
## 3939   5.085        -6.725e-01                          1.790 1.839           
## 892    4.565 0.7316  3.364e-02            -2.326 -1.911 2.520 1.352           
## 2752   6.693 1.3700 -8.608e-01  0.0008884 -2.276 -2.467 2.904        0.0398800
## 2919   4.350        -8.048e-01  0.6157000               1.739 1.809           
## 1412   5.607 0.4550 -3.196e-01                                      -1.1210000
## 2791   4.337        -7.787e-01  0.5942000               1.726 1.811 -0.0700800
## 1686   5.464 0.6885             0.6291000        -1.836             -1.1490000
## 918    5.437 0.6847             0.6395000        -1.836             -1.1400000
## 511    5.251         7.861e-02  0.5245000 -2.236 -1.871 2.212 1.683 -0.7181000
## 886    3.245 0.8149             0.8968000        -1.801 2.088 1.289           
## 3813   4.459                    0.4732000               1.730 1.974 -0.2421000
## 1019   5.365         6.676e-02            -2.262 -1.887 2.236 1.503 -0.7572000
## 632    3.155 0.8259  2.286e-02  0.8737000        -1.804 2.086 1.285           
## 1654   3.162 0.8249             0.8754000        -1.802 2.085 1.282           
## 3042   3.818 0.8488                                     1.957 1.740 -0.2831000
## 1380   3.284 0.5075 -3.385e-02                          1.909 1.564           
## 3941   4.376                    0.5119000               1.771 1.973           
## 1268   4.541 0.8248  3.331e-01                   -2.015 2.035 1.382 -1.1560000
## 1288   4.639 0.4738 -5.592e-01  0.9885000                                     
## 1013   4.288                    0.6910000        -1.790 1.799 1.425 -0.8542000
## 3518   7.263 1.4910            -0.2104000 -2.323 -2.639 3.005       -0.1946000
## 1781   4.276                    0.6583000        -1.790 1.788 1.426 -0.8772000
## 759    4.196         7.841e-02  0.6611000        -1.800 1.796 1.431 -0.8752000
## 1917   4.787                    0.6015000 -2.287 -1.766 2.289 1.566           
## 2807   5.758        -5.825e-01  0.3065000        -2.102 2.002 1.646 -0.2404000
## 3555   5.360        -5.808e-01                          1.774 1.967 -0.2318000
## 1531   5.758         2.305e-01            -2.294 -1.924 2.246 1.658 -0.8617000
## 895    4.690        -6.972e-02  0.6208000 -2.272 -1.765 2.286 1.541           
## 1522   4.692 0.8023                              -1.984 2.021 1.342 -1.1170000
## 500    4.405 0.8132  2.577e-01                   -2.018 2.045 1.353 -1.1180000
## 3557   4.709                    0.4850000               1.745 2.074 -0.2664000
## 2935   5.664        -6.279e-01  0.3359000        -2.086 2.037 1.640           
## 1663   4.662         9.278e-03  0.5749000 -2.286 -1.769 2.283 1.557           
## 1374   5.511 0.3723             0.8867000 -1.973 -1.583       1.901           
## 1404   4.890 0.7456  1.814e-01            -2.365 -1.949 2.556 1.510           
## 1120   5.454 0.3779 -5.223e-02  0.8764000 -1.972 -1.580       1.886           
## 3059   5.961        -5.674e-01                   -2.141 2.029 1.610 -0.2819000
## 2551   5.897        -5.509e-01  0.3080000        -2.132 2.017 1.721 -0.2669000
## 1364   5.122 0.3361  4.552e-02                   -1.656       1.601           
## 4065   4.845                                            1.766 1.932 -0.3013000
## 352    5.412 0.3656 -1.287e-01  0.9155000 -1.956 -1.580       1.871           
## 2535   4.568        -7.403e-01  0.6146000               1.748 1.943 -0.1069000
## 656    5.360 0.4511 -6.038e-01  0.6795000 -1.742                    -0.7060000
## 680    3.237 0.8016 -3.980e-01  0.7600000               1.905       -0.5767000
## 1375   5.738        -8.765e-02  0.8520000 -1.987 -1.546       1.932           
## 3043   4.717        -7.662e-01                          1.772 1.745 -0.1428000
## 1525   4.627                    0.6916000        -1.823 1.810 1.552 -0.9282000
## 1684   5.969 0.6085 -1.645e-01                   -1.861             -1.2500000
## 1271   4.490         1.903e-01  0.6524000        -1.843 1.812 1.566 -0.9592000
## 916    5.911 0.6040 -1.859e-01                   -1.860             -1.2380000
## 503    4.462         1.213e-01  0.6943000        -1.840 1.822 1.555 -0.9227000
## 1938   5.917 0.6212                              -1.880             -1.2720000
## 1398   3.506 0.8196             0.9182000        -1.836 2.116 1.424           
## 2496   6.958 1.4140 -7.949e-01 -0.0324200 -2.285 -2.548 2.959       -0.0167500
## 376    3.424 0.8223  6.796e-02  0.9184000        -1.845 2.123 1.426           
## 919    5.885        -3.144e-01  0.5958000        -1.743             -1.0420000
## 934    3.116 0.8150             0.7445000               1.937       -0.6055000
## 3061   5.450                    0.2824000        -2.144 2.017 1.703 -0.3420000
## 1687   5.813        -3.036e-01  0.5843000        -1.746             -1.0450000
## 1144   3.377 0.8326  1.082e-01  0.8933000        -1.847 2.120 1.426           
## 1407   4.985         5.792e-02  0.6141000 -2.307 -1.803 2.319 1.689           
## 1702   3.086 0.8216             0.7280000               1.932       -0.6165000
## 911    5.687        -6.536e-01  0.6452000 -1.757                    -0.6581000
## 1679   5.630        -6.196e-01  0.6191000 -1.760                    -0.6738000
## 3045   3.907                    0.5808000               1.742 1.894 -0.1995000
## 1941   5.816                    0.5577000        -1.780             -1.0860000
## 712    3.791 0.3686 -2.328e-01  1.0050000                     1.728 -0.9131000
## 1734   3.811 0.3801             0.9718000                     1.774 -0.9628000
## 808    3.010 0.7658 -4.871e-01  0.8703000               1.983                 
## 966    3.740 0.3672             1.0070000                     1.766 -0.9303000
## 1915   5.108         4.420e-02            -2.343 -1.821 2.358 1.484           
## 1779   4.691         1.885e-01                   -1.871 1.841 1.365 -1.0230000
## 1678   5.251 0.4812             0.6152000 -1.732                    -0.7925000
## 1576   2.826 0.7721 -4.896e-01  0.8611000               1.978                 
## 2033   4.812                                     -1.853 1.840 1.337 -0.9971000
## 1011   4.640         1.213e-01                   -1.870 1.852 1.338 -0.9907000
## 1882   5.795 0.2808                       -2.025 -1.604       1.651           
## 1628   5.771 0.2833 -7.002e-02            -2.024 -1.599       1.637           
## 910    5.139 0.4729             0.6419000 -1.720                    -0.7668000
## 3836   6.947 1.2670 -4.406e-01            -2.467 -2.383 2.725 1.819 -0.0901200
## 3580   6.985 1.2680 -4.350e-01            -2.469 -2.388 2.728 1.834 -0.0946700
## 3328   6.972 1.2700 -4.341e-01  0.0064470 -2.468 -2.388 2.727 1.834 -0.0941700
## 967    4.059        -2.760e-01  0.9889000                     1.762 -0.8726000
## 3964   6.926 1.2640 -4.594e-01            -2.475 -2.378 2.740 1.816           
## 3712   6.901 1.2660 -4.580e-01  0.0171100 -2.473 -2.376 2.737 1.818           
## 3456   6.942 1.2670 -4.530e-01  0.0186900 -2.476 -2.382 2.742 1.834           
## 1735   4.044        -2.086e-01  0.9472000                     1.775 -0.9066000
## 1989   4.078                    0.9496000                     1.817 -0.9288000
## 860    5.699 0.2703 -1.444e-01            -2.008 -1.600       1.607           
## 3006   6.202 1.4010            -0.0588300 -2.247 -2.542 2.934       -0.1177000
## 1883   5.960        -9.767e-02            -2.033 -1.571       1.671           
## 784    5.113 0.3962 -7.067e-01  0.8046000 -1.781                              
## 1552   4.994 0.4047 -6.898e-01  0.7890000 -1.780                              
## 3764   6.199 1.4020 -6.301e-01                   -2.446 2.493       -0.2878000
## 1676   5.863 0.3788 -5.113e-01            -1.799                    -0.8426000
## 1830   2.735 0.7907             0.8345000               2.021                 
## 908    5.812 0.3669 -5.550e-01            -1.793                    -0.8213000
## 887    3.746        -5.825e-02  0.8251000        -1.709 1.914 1.389           
## 1909   3.732                    0.8194000        -1.715 1.918 1.398           
## 3640   5.967 1.4030 -6.903e-01  0.1527000        -2.414 2.521                 
## 1939   6.231        -2.245e-01                   -1.800             -1.1740000
## 3892   6.065 1.3960 -6.780e-01                   -2.431 2.534                 
## 2696   5.563 0.7044 -1.082e+00  0.5852000                           -0.3556000
## 1933   5.550                    0.5649000 -1.748                    -0.7511000
## 1655   3.624        -2.508e-02  0.7964000        -1.714 1.910 1.384           
## 3582   6.775 1.2790            -0.0200200 -2.460 -2.417 2.737 1.873 -0.1718000
## 4090   6.753 1.2800                       -2.458 -2.414 2.734 1.873 -0.1688000
## 3838   6.780 1.2770            -0.0168300 -2.460 -2.416 2.736 1.872 -0.1705000
## 3592   5.652 0.7150 -1.088e+00  0.5760000                                     
## 1523   4.979         2.634e-01                   -1.913 1.864 1.491 -1.0900000
## 1807   5.342        -7.359e-01  0.7569000 -1.791                              
## 3966   6.680 1.2760            -0.0019390 -2.473 -2.408 2.764 1.870           
## 1931   6.090        -5.513e-01            -1.809                    -0.7978000
## 932    3.717 0.7105 -3.444e-01                          1.932       -0.7048000
## 1906   3.776 0.7333                              -1.865 2.155 1.164           
## 1652   3.678 0.7448  1.011e-01                   -1.875 2.160 1.175           
## 1700   3.694 0.7183 -3.228e-01                          1.930       -0.7143000
## 884    3.688 0.7356  6.404e-02                   -1.874 2.162 1.165           
## 2824   5.458 0.6921 -1.147e+00  0.6270000                                     
## 1176   6.086 0.7068 -1.382e-01  0.6441000        -1.907             -1.2380000
## 408    6.016 0.7034 -1.627e-01  0.6556000        -1.906             -1.2230000
## 1430   6.043 0.7155             0.6263000        -1.922             -1.2580000
## 935    3.858        -4.842e-01  0.6996000               1.768       -0.5175000
## 1930   5.712 0.4085                       -1.784                    -0.9022000
## 3716   6.216 0.6851 -9.784e-01                                      -0.4664000
## 1703   3.693        -4.755e-01  0.6838000               1.762       -0.5182000
## 1560   4.791 0.5893 -4.245e-01  0.8514000        -1.669                       
## 792    4.943 0.5863 -4.098e-01  0.8521000        -1.667                       
## 1478   4.205 0.3724             1.0080000                     1.943 -1.0320000
## 1954   3.615 0.7373                                     1.951       -0.7471000
## 1224   4.170 0.3760 -8.663e-02  1.0020000                     1.924 -1.0250000
## 2744   5.697 1.3620 -7.542e-01  0.2173000        -2.396 2.471       -0.2152000
## 456    4.108 0.3612 -1.667e-01  1.0450000                     1.909 -0.9830000
## 2872   5.573 1.3650 -7.801e-01  0.2298000        -2.385 2.500                 
## 4018   5.899 1.4320                              -2.499 2.518       -0.3977000
## 2996   5.795 1.3560 -7.268e-01                   -2.423 2.483       -0.2496000
## 3766   5.884 1.4300             0.0767600        -2.489 2.515       -0.3862000
## 1372   6.093 0.2777  2.051e-02            -2.047 -1.643       1.801           
## 3256   6.466 1.4460 -5.853e-01  0.0988200        -2.507 2.538       -0.3223000
## 3508   6.492 1.4450 -5.678e-01                   -2.519 2.542       -0.3389000
## 688    4.034 0.7826 -4.600e-01  0.5882000 -2.080        2.277       -0.3772000
## 1806   4.834 0.4270             0.7447000 -1.770                              
## 1479   4.436        -1.213e-01  0.9808000                     1.962 -0.9889000
## 1814   4.731 0.6050             0.8234000        -1.713                       
## 1957   3.663                    0.6498000               1.794       -0.5688000
## 950    4.217 1.0200             0.5806000        -2.039 2.176       -0.8576000
## 1831   3.472        -5.705e-01  0.7968000               1.839                 
## 696    4.205 1.0210 -6.783e-02  0.5749000        -2.031 2.167       -0.8569000
## 2948   5.922 0.6533 -1.050e+00                                      -0.4377000
## 1718   4.185 1.0260             0.5685000        -2.040 2.172       -0.8650000
## 3844   6.075 0.6638 -1.063e+00                                                
## 1399   3.965         3.808e-02  0.8391000        -1.754 1.948 1.537           
## 3384   6.285 1.4440 -6.361e-01  0.1297000        -2.489 2.583                 
## 816    3.929 0.7557 -5.289e-01  0.6647000 -2.108        2.334                 
## 840    3.453 0.3028 -3.681e-01  1.1660000                     1.694           
## 3894   5.626 1.4290             0.1110000        -2.470 2.571                 
## 1584   3.823 0.7669 -4.959e-01  0.6407000 -2.109        2.331                 
## 1608   3.340 0.3159 -3.308e-01  1.1380000                     1.690           
## 3732   7.555 0.9494 -7.502e-01                   -2.156             -0.6774000
## 3719   6.091        -1.031e+00  0.4631000                           -0.3534000
## 1710   3.944 0.8097             0.5369000 -2.077        2.304       -0.4404000
## 1863   3.642        -3.714e-01  1.1280000                     1.725           
## 1862   3.324 0.3140             1.1380000                     1.752           
## 942    3.879 0.7996             0.5677000 -2.068        2.311       -0.4137000
## 1428   6.483 0.6479 -4.202e-02                   -1.961             -1.3750000
## 1396   3.957 0.7465  1.873e-01                   -1.921 2.198 1.323           
## 1815   5.195        -4.822e-01  0.7964000        -1.621                       
## 2951   5.912        -1.095e+00  0.5206000                           -0.3243000
## 1828   3.357 0.6652 -4.141e-01                          2.030                 
## 1804   5.542 0.2982 -6.253e-01            -1.854                              
## 3847   6.005        -1.110e+00  0.5207000                                     
## 1726   5.091 1.0180             0.3688000 -2.130 -2.090 2.560       -0.6906000
## 3510   6.177 1.4700             0.0456200        -2.555 2.559       -0.4284000
## 704    5.040 1.0060 -1.241e-01  0.3954000 -2.124 -2.075 2.553       -0.6592000
## 958    5.027 1.0100             0.3952000 -2.121 -2.090 2.565       -0.6672000
## 2712   6.958 0.9290 -8.731e-01  0.3552000        -2.096             -0.5839000
## 1838   3.732 0.7856             0.6140000 -2.108        2.374                 
## 1955   4.172        -4.003e-01                          1.802       -0.6521000
## 1431   6.447        -1.926e-01  0.5718000        -1.846             -1.1700000
## 424    3.749 0.8284 -3.292e-01  0.7810000               1.979       -0.6648000
## 1192   3.731 0.8347 -3.049e-01  0.7647000               1.976       -0.6772000
## 1708   4.457 0.7245 -3.765e-01            -2.134        2.305       -0.4923000
## 1732   4.549 0.2751 -9.208e-02                                1.649 -1.1240000
## 940    4.443 0.7093 -4.266e-01            -2.129        2.308       -0.4686000
## 3971   6.463        -1.002e+00                                      -0.4236000
## 1986   4.550 0.2754                                           1.666 -1.1350000
## 2488   5.982 1.4070 -6.878e-01  0.1865000        -2.480 2.527       -0.2745000
## 1970   4.619 0.9640                              -2.081 2.192       -0.9713000
## 3718   5.414 0.7449             0.4724000                           -0.5719000
## 1716   4.594 0.9670  8.728e-03                   -2.082 2.191       -0.9735000
## 1907   4.149         3.470e-02                   -1.786 1.998 1.276           
## 948    4.573 0.9603 -1.496e-02                   -2.080 2.193       -0.9616000
## 2998   5.279 1.3900             0.1631000        -2.462 2.501       -0.3505000
## 3608   7.045 0.9393 -8.967e-01  0.3526000        -2.071                       
## 2964   7.146 0.9119 -8.343e-01                   -2.137             -0.6417000
## 1978   5.410 0.9762                       -2.164 -2.117 2.581       -0.7548000
## 1724   5.381 0.9769 -4.093e-02            -2.164 -2.112 2.575       -0.7520000
## 1446   3.667 0.8487             0.7391000               1.995       -0.7105000
## 964    4.445 0.2597 -1.717e-01                                1.616 -1.0840000
## 1987   4.713        -1.170e-01                                1.676 -1.0940000
## 956    5.321 0.9624 -9.386e-02            -2.157 -2.108 2.577       -0.7257000
## 1962   4.376 0.7454                       -2.127        2.329       -0.5305000
## 3860   7.290 0.9165 -8.712e-01                   -2.108                       
## 1836   4.283 0.6845 -4.475e-01            -2.177        2.382                 
## 3734   7.080 0.9873             0.2191000        -2.190             -0.7805000
## 1168   6.030 0.4817 -4.716e-01  0.6690000 -1.746                    -0.8475000
## 3986   7.193 0.9824                              -2.216             -0.8135000
## 3970   5.740 0.7127                                                 -0.6370000
## 2840   6.709 0.9119 -9.675e-01  0.4130000        -2.051                       
## 400    5.946 0.4732 -5.204e-01  0.6960000 -1.737                    -0.8208000
## 2950   4.964 0.7171             0.5374000                           -0.5443000
## 1812   5.326 0.4842 -3.387e-01                   -1.721                       
## 943    4.644        -5.447e-01  0.5289000 -2.087        2.145       -0.3187000
## 3846   5.127 0.7280             0.5334000                                     
## 824    3.750 0.9668 -1.884e-01  0.7267000        -1.935 2.266                 
## 832    4.722 0.9634 -2.212e-01  0.5100000 -2.172 -2.001 2.637                 
## 1592   3.602 0.9715 -1.931e-01  0.7208000        -1.937 2.262                 
## 1711   4.554        -5.036e-01  0.4962000 -2.088        2.137       -0.3384000
## 3208   6.435 0.7652 -9.332e-01  0.5105000                           -0.4850000
## 1846   3.616 0.9777             0.7160000        -1.959 2.284                 
## 1600   4.658 0.9731 -1.893e-01  0.4886000 -2.175 -2.005 2.637                 
## 2944   6.182 1.2040 -6.456e-01  0.1617000 -2.388 -2.330 2.701 1.685           
## 1854   4.675 0.9789             0.4844000 -2.175 -2.026 2.658                 
## 3224   7.855 1.0050 -7.015e-01  0.2448000        -2.218             -0.7163000
## 2816   6.219 1.1970 -6.599e-01  0.1757000 -2.387 -2.325 2.701 1.685  0.0048580
## 1320   3.387 0.7994 -3.995e-01  0.8868000               2.069                 
## 1839   4.469        -5.770e-01  0.5772000 -2.112        2.194                 
## 3068   6.294 1.1960 -6.369e-01            -2.401 -2.350 2.715 1.668 -0.0216000
## 1352   3.742 0.3025 -2.440e-01  1.1910000                     1.902           
## 3476   7.966 0.9981 -6.658e-01                   -2.247             -0.7577000
## 1422   5.894 0.5038             0.6216000 -1.737                    -0.9072000
## 2560   6.267 1.2110 -6.238e-01  0.1607000 -2.394 -2.350 2.712 1.732 -0.0181100
## 1462   4.683 1.0550             0.5711000        -2.119 2.231       -0.9483000
## 1208   4.653 1.0590  3.133e-02  0.5634000        -2.123 2.232       -0.9541000
## 440    4.624 1.0530  5.108e-03  0.5783000        -2.121 2.234       -0.9394000
## 1423   6.336        -5.094e-01  0.6201000 -1.763                    -0.8038000
## 3632   5.704 1.0890 -9.759e-01  0.1802000 -2.218        2.508                 
## 3903   7.869        -7.808e-01 -0.2093000 -2.312 -2.325 2.631                 
## 3756   5.783 1.0720 -9.971e-01            -2.254        2.553        0.1682000
## 3775   7.829        -7.736e-01 -0.2179000 -2.313 -2.326 2.631        0.0096010
## 3884   5.873 1.0710 -9.738e-01            -2.239        2.525                 
## 3336   6.254 0.7506 -1.019e+00  0.5660000                                     
## 1965   4.520                    0.4606000 -2.083        2.170       -0.3924000
## 1476   4.882 0.2752  1.739e-02                                1.834 -1.2190000
## 2440   6.085 0.7395 -1.009e+00  0.5747000                           -0.4494000
## 4027   7.703        -8.038e-01            -2.293 -2.297 2.614        0.0431600
## 2966   6.490 0.9547             0.2937000        -2.168             -0.7463000
## 1742   4.768 0.3027             0.8239000 -1.911              1.954 -0.8571000
## 1963   4.960        -4.589e-01            -2.134        2.177       -0.4281000
## 3460   6.763 0.7299 -8.864e-01                                      -0.5621000
## 1444   4.224 0.7553 -2.103e-01                          1.999       -0.8255000
## 672    6.376 0.6113 -3.262e-01  0.5211000 -1.745 -1.808             -0.9864000
## 720    4.675 0.2864 -2.849e-01  0.8756000 -1.894              1.890 -0.7844000
## 1852   5.021 0.9140 -1.475e-01            -2.228 -2.039 2.680                 
## 3973   5.704                    0.4037000                           -0.5395000
## 1743   4.973        -2.186e-01  0.8077000 -1.924              1.947 -0.8045000
## 1997   5.006                    0.8098000 -1.924              1.992 -0.8280000
## 1470   5.581 1.0460             0.3715000 -2.142 -2.166 2.619       -0.7689000
## 1216   5.551 1.0480  5.686e-03  0.3654000 -2.142 -2.167 2.618       -0.7718000
## 1694   6.393 0.6334             0.4743000 -1.744 -1.847             -1.0480000
## 3624   4.547 1.0750 -9.411e-01  0.4384000               2.127                 
## 974    4.593 0.2875             0.8738000 -1.887              1.935 -0.8086000
## 975    4.900        -3.235e-01  0.8666000 -1.906              1.917 -0.7501000
## 1420   6.479 0.4101 -3.881e-01            -1.800                    -0.9769000
## 2456   7.370 0.9742 -7.910e-01  0.3201000        -2.196             -0.6719000
## 448    5.452 1.0380 -5.268e-02  0.3980000 -2.131 -2.163 2.619       -0.7394000
## 926    6.277 0.6269             0.4966000 -1.733 -1.848             -1.0250000
## 1447   4.340        -3.783e-01  0.6897000               1.832       -0.6249000
## 1304   5.394 0.6130 -3.220e-01  0.8673000        -1.766                       
## 3478   7.507 1.0310             0.1790000        -2.275             -0.8480000
## 3862   6.625 0.9613             0.3025000        -2.136                       
## 1460   5.018 1.0070  1.111e-01                   -2.172 2.254       -1.0700000
## 2736   5.235 1.0460 -1.117e+00  0.2944000 -2.198        2.523        0.2401000
## 3735   7.629        -8.052e-01  0.1964000        -2.019             -0.5767000
## 3070   5.825 1.2160             0.1343000 -2.370 -2.378 2.716 1.746 -0.1165000
## 2856   4.323 1.0450 -1.013e+00  0.5014000               2.117                 
## 2728   4.313 1.0480 -1.006e+00  0.4954000               2.115       -0.0119800
## 1468   5.818 1.0130  5.318e-02            -2.174 -2.199 2.639       -0.8424000
## 3352   7.528 0.9807 -8.271e-01  0.3265000        -2.165                       
## 3656   5.169 0.5906 -7.701e-01  0.7244000                     2.002           
## 3987   7.792        -7.881e-01                   -2.042             -0.6091000
## 951    4.885        -1.747e-01  0.4930000        -1.920 1.976       -0.7765000
## 2864   5.326 1.0460 -1.078e+00  0.2740000 -2.177        2.484                 
## 1296   5.653 0.4213 -5.915e-01  0.8163000 -1.789                              
## 1200   4.591 0.8202 -3.367e-01  0.5751000 -2.095        2.348       -0.4934000
## 1973   4.820                    0.4741000        -1.941 1.988       -0.7962000
## 1719   4.775        -1.617e-01  0.4775000        -1.923 1.972       -0.7809000
## 432    4.543 0.8090 -3.922e-01  0.6084000 -2.086        2.351       -0.4637000
## 1692   6.819 0.5647 -2.307e-01            -1.791 -1.854             -1.1070000
## 3748   4.896 1.0430 -9.016e-01                          2.142       -0.1071000
## 2988   5.425 1.0210 -1.104e+00            -2.224        2.542        0.2052000
## 3876   4.873 1.0390 -9.231e-01                          2.159                 
## 924    6.723 0.5541 -2.759e-01            -1.783 -1.851             -1.0830000
## 3272   5.587 0.6140 -6.263e-01  0.6718000                     2.143 -0.4949000
## 1844   4.055 0.8884 -1.211e-01                   -1.986 2.313                 
## 1946   6.759 0.5812                       -1.784 -1.880             -1.1370000
## 3007   7.349        -8.954e-01 -0.1033000 -2.271 -2.292 2.618        0.0640200
## 1454   4.522 0.8355             0.5478000 -2.091        2.369       -0.5302000
## 2967   7.308        -8.835e-01  0.2658000        -1.998             -0.5383000
## 3463   6.761        -9.481e-01  0.4417000                           -0.4510000
## 1486   5.151 0.2938             0.8579000 -1.928              2.113 -0.9196000
## 3519   8.255        -7.199e-01 -0.2413000 -2.327 -2.401 2.684       -0.0428500
## 1232   5.117 0.2974 -1.075e-01  0.8530000 -1.928              2.091 -0.9104000
## 3462   5.978 0.7856             0.4444000                           -0.6519000
## 927    6.735        -3.824e-01  0.4641000 -1.766 -1.752             -0.9218000
## 1695   6.736        -3.442e-01  0.4383000 -1.771 -1.757             -0.9415000
## 3782   5.063 0.6112             0.6397000                     2.101 -0.5721000
## 2760   4.923 0.5663 -8.208e-01  0.7682000                     1.928 -0.3862000
## 1328   4.380 0.7926 -4.107e-01  0.6644000 -2.130        2.423                 
## 3783   5.569        -6.905e-01  0.6192000                     2.053 -0.4207000
## 3863   7.388        -9.230e-01  0.2799000        -1.970                       
## 2980   4.617 1.0060 -9.827e-01                          2.138       -0.0764000
## 1487   5.356        -1.400e-01  0.8402000 -1.941              2.124 -0.8792000
## 3600   6.785 0.6723 -1.140e+00  0.3805000 -1.856                              
## 1971   5.142        -1.041e-01                   -1.969 2.005       -0.8792000
## 4029   7.568                   -0.2698000 -2.295 -2.391 2.659       -0.1321000
## 1860   4.095 0.1780 -2.562e-01                                1.568           
## 3400   5.456 0.5937 -7.240e-01  0.7392000                     2.144           
## 3740   8.506 0.9163 -8.416e-01            -1.877 -2.160             -0.5058000
## 3780   5.873 0.5536 -6.450e-01                                1.965 -0.5457000
## 464    4.982 0.2789 -2.219e-01  0.9136000 -1.905              2.064 -0.8506000
## 1949   6.728                    0.4072000 -1.765 -1.796             -0.9887000
## 959    5.712        -2.292e-01  0.3138000 -2.131 -1.965 2.366       -0.5795000
## 848    4.413 0.2274 -4.043e-01  1.0120000 -1.936              1.864           
## 1727   5.682        -1.826e-01  0.2805000 -2.134 -1.971 2.360       -0.6037000
## 1981   5.728                    0.2757000 -2.134 -1.992 2.378       -0.6215000
## 1616   4.381 0.2434 -3.282e-01  0.9709000 -1.949              1.878           
## 3724   7.163 0.6517 -1.070e+00            -1.873                    -0.2948000
## 2888   4.812 0.5530 -8.922e-01  0.8136000                     1.923           
## 1871   4.650        -3.665e-01  0.9688000 -1.958              1.907           
## 1452   5.004 0.7583 -2.713e-01            -2.146        2.376       -0.5983000
## 3911   5.476        -7.872e-01  0.6885000                     2.044           
## 1870   4.369 0.2411             0.9708000 -1.950              1.940           
## 1344   5.129 1.0030 -1.081e-01  0.5002000 -2.195 -2.090 2.722                 
## 3526   5.299 0.6184             0.6420000                     2.208 -0.6041000
## 1979   5.954        -1.592e-01            -2.162 -1.998 2.388       -0.6556000
## 1336   4.084 1.0030 -1.057e-01  0.7340000        -2.027 2.349                 
## 1947   7.083        -2.897e-01            -1.806 -1.797             -1.0350000
## 3852   7.094 0.6369 -1.126e+00            -1.894                              
## 2704   6.522 0.6480 -1.185e+00  0.4338000 -1.812                    -0.2025000
## 2832   6.464 0.6415 -1.221e+00  0.4546000 -1.825                              
## 1740   5.435 0.2100 -1.212e-01            -1.973              1.847 -0.9844000
## 1994   5.441 0.2099                       -1.972              1.871 -0.9979000
## 3989   7.357                    0.1353000        -2.084             -0.7291000
## 3527   5.874        -6.414e-01  0.6311000                     2.190 -0.4650000
## 3910   4.810 0.5897             0.7092000                     2.102           
## 1995   5.589        -1.455e-01            -1.981              1.869 -0.9597000
## 3616   8.228 0.8996 -9.457e-01  0.1489000 -1.897 -2.108                       
## 3248   6.117 1.1270 -9.409e-01  0.1806000 -2.250        2.607        0.1260000
## 4091   7.438        -4.947e-01            -2.459 -2.196 2.443 1.946 -0.0494300
## 3967   7.448        -5.017e-01 -0.0369300 -2.468 -2.199 2.456 1.941           
## 1847   4.316        -2.970e-01  0.6376000        -1.838 2.073                 
## 3664   6.381 0.5295 -7.927e-01  0.5226000 -2.070              2.219           
## 3696   5.421 0.9264 -6.734e-01  0.3249000 -2.384        2.312 2.016           
## 3868   8.328 0.8912 -9.332e-01            -1.912 -2.124                       
## 3376   6.169 1.1280 -9.196e-01  0.1685000 -2.240        2.586                 
## 3839   7.425        -4.779e-01 -0.0572600 -2.463 -2.206 2.445 1.941 -0.0607800
## 3583   7.534        -4.757e-01 -0.0466500 -2.468 -2.214 2.453 1.971 -0.0661700
## 3524   6.102 0.5641 -5.832e-01                                2.095 -0.5935000
## 3500   6.252 1.1140 -9.279e-01            -2.268        2.618        0.1029000
## 3908   5.727 0.5283 -7.493e-01                                1.947           
## 3886   5.209 1.1090             0.1423000 -2.207        2.566                 
## 3758   5.209 1.1080             0.1454000 -2.208        2.569        0.0139500
## 2504   5.145 0.5732 -7.646e-01  0.7778000                     2.073 -0.4361000
## 3750   4.197 1.0960             0.3801000               2.153       -0.2101000
## 3015   5.190        -8.258e-01  0.7215000                     1.971 -0.3616000
## 1750   4.894 0.5347             0.8236000        -1.671       1.586 -1.1880000
## 4010   5.312 1.0990                       -2.222        2.578       -0.0033810
## 982    4.825 0.5244             0.8526000        -1.672       1.578 -1.1600000
## 728    4.791 0.5298 -2.130e-03  0.8414000        -1.673       1.575 -1.1650000
## 3878   4.078 1.0950             0.4012000               2.185                 
## 972    5.276 0.1885 -2.356e-01            -1.952              1.797 -0.9285000
## 2956   6.797 0.6105 -1.162e+00            -1.846                    -0.2606000
## 4037   5.321                    0.5950000                     2.144 -0.5443000
## 1855   5.373        -2.936e-01  0.4056000 -2.175 -1.906 2.447                 
## 4034   5.560 0.5648                                           2.049 -0.6590000
## 3440   5.622 0.9280 -6.505e-01  0.3375000 -2.399        2.333 2.104           
## 3280   6.703 0.5465 -6.867e-01  0.4886000 -2.067              2.338 -0.3345000
## 4035   6.075        -6.587e-01                                2.006 -0.5126000
## 3312   5.539 0.9330 -6.559e-01  0.3351000 -2.406        2.346 2.099  0.0848700
## 800    5.911 0.5317 -4.670e-01  0.6896000 -1.800 -1.686                       
## 3948   5.713 0.8986 -6.706e-01            -2.419        2.345 1.994           
## 3820   5.644 0.9028 -6.750e-01            -2.424        2.356 1.990  0.0705100
## 1568   5.826 0.5384 -4.530e-01  0.6773000 -1.799 -1.689                       
## 3288   6.969 0.8480 -4.411e-01  0.4131000        -2.038       1.950 -0.7065000
## 3479   8.182        -7.253e-01  0.1610000        -2.113             -0.6632000
## 2720   7.936 0.8736 -9.755e-01  0.2007000 -1.829 -2.110             -0.4310000
## 3788   6.892 0.5009 -7.085e-01            -2.093              2.195 -0.3632000
## 4002   4.466 1.0700                                     2.170       -0.2593000
## 2972   8.020 0.8690 -9.457e-01            -1.844 -2.136             -0.4647000
## 3240   5.078 1.1180 -8.590e-01  0.4144000               2.188       -0.1195000
## 3727   7.152        -1.109e+00  0.2891000 -1.860                    -0.2117000
## 3408   6.639 0.5307 -7.556e-01  0.5351000 -2.087              2.341           
## 3368   5.031 1.1170 -8.804e-01  0.4284000               2.206                 
## 1455   5.201        -4.112e-01  0.5029000 -2.102        2.209       -0.4404000
## 4019   6.739        -7.066e-01                   -2.249 2.195       -0.2354000
## 4093   7.279                   -0.0766700 -2.457 -2.240 2.458 2.000 -0.1472000
## 3767   6.674        -7.021e-01  0.0356500        -2.245 2.190       -0.2321000
## 3855   7.125        -1.160e+00  0.3267000 -1.871                              
## 3014   4.448 0.5691             0.7416000                     2.015 -0.5285000
## 3564   5.841 0.9066 -6.427e-01            -2.438        2.372 2.077  0.0447100
## 1184   7.023 0.6487 -1.831e-01  0.4935000 -1.752 -1.912             -1.1290000
## 3796   7.173 0.8140 -4.472e-01                   -2.060       1.847 -0.7425000
## 3798   6.646 0.8481             0.3900000        -2.047       1.937 -0.7670000
## 3791   6.698        -7.419e-01  0.4414000 -2.071              2.262 -0.2698000
## 3895   6.595        -7.545e-01  0.0741900        -2.228 2.224                 
## 1438   6.969 0.6600             0.4712000 -1.749 -1.933             -1.1560000
## 3979   7.416        -1.095e+00            -1.885                    -0.2524000
## 416    6.889 0.6414 -2.336e-01  0.5192000 -1.741 -1.909             -1.1000000
## 3012   5.415 0.5047 -7.891e-01                                1.856 -0.4918000
## 3916   6.823 0.4815 -7.812e-01            -2.118              2.186           
## 1822   5.754 0.5557             0.6470000 -1.793 -1.735                       
## 1463   5.333        -6.943e-02  0.4717000        -2.015 2.037       -0.8778000
## 2982   3.748 1.0630             0.4537000               2.146       -0.1812000
## 3296   8.092 0.7810 -5.011e-01  0.2285000 -2.073 -2.045       2.144 -0.5463000
## 3919   6.668        -8.091e-01  0.4900000 -2.085              2.259           
## 3542   6.757 0.8584             0.3810000        -2.069       1.989 -0.7872000
## 3804   8.182 0.7605 -5.112e-01            -2.085 -2.051       2.076 -0.5599000
## 2848   7.751 0.8634 -1.040e+00  0.2346000 -1.857 -2.079                       
## 3540   7.276 0.8275 -4.045e-01                   -2.087       1.914 -0.7724000
## 2005   5.188                    0.7864000        -1.621       1.647 -1.1370000
## 1751   5.112         1.921e-02  0.7671000        -1.625       1.644 -1.1450000
## 1360   4.778 0.2288 -2.507e-01  1.0200000 -1.973              2.077           
## 1240   5.153 0.5429  1.394e-01  0.8264000        -1.721       1.732 -1.2720000
## 983    5.084        -4.848e-02  0.8059000        -1.619       1.628 -1.1100000
## 3994   8.102 0.9516                       -1.847 -2.226             -0.6607000
## 3548   8.268 0.7695 -4.811e-01            -2.091 -2.071       2.126 -0.5812000
## 2959   6.848        -1.196e+00  0.3705000 -1.832                    -0.1729000
## 1494   5.237 0.5321             0.8492000        -1.706       1.721 -1.2500000
## 3532   7.110 0.5076 -6.591e-01            -2.106              2.307 -0.4022000
## 3492   5.357 1.0900 -8.246e-01                          2.207       -0.1780000
## 3790   6.179 0.5461             0.4566000 -2.040              2.318 -0.4297000
## 3742   8.144 0.9442             0.0345800 -1.844 -2.220             -0.6546000
## 3484   8.926 0.9629 -7.607e-01            -1.879 -2.249             -0.5844000
## 1484   5.773 0.2071 -2.392e-02            -1.991              2.021 -1.0700000
## 2999   6.357        -7.914e-01  0.1158000        -2.221 2.187       -0.1896000
## 3232   8.951 0.9585 -7.792e-01  0.0626200 -1.875 -2.240             -0.5722000
## 4050   6.944 0.8301                              -2.092       1.901 -0.8241000
## 3320   5.851 1.2680 -3.754e-01  0.2567000        -2.324 2.284 1.659 -0.3535000
## 472    5.054 0.5305  6.277e-02  0.8646000        -1.718       1.714 -1.2310000
## 2472   4.742 1.0880 -9.441e-01  0.4877000               2.183       -0.0811700
## 2480   5.652 1.0850 -1.054e+00  0.2842000 -2.207        2.592        0.1729000
## 1823   6.210        -5.073e-01  0.6267000 -1.814 -1.644                       
## 3950   5.103 0.9296             0.3126000 -2.383        2.345 2.101           
## 3822   5.085 0.9330             0.3052000 -2.382        2.342 2.099 -0.0122300
## 3535   6.975        -7.023e-01  0.4527000 -2.085              2.382 -0.3060000
## 3828   5.977 1.2490 -3.778e-01                   -2.340 2.295 1.596 -0.3750000
## 4043   7.096        -7.244e-01            -2.107              2.233 -0.3314000
## 3672   6.516 0.8106 -6.108e-01  0.5037000        -1.954       1.866           
## 3572   6.041 1.2580 -3.539e-01                   -2.357 2.303 1.635 -0.3909000
## 3704   5.597 1.2560 -4.605e-01  0.2985000        -2.285 2.321 1.606           
## 1436   7.348 0.6024 -1.113e-01            -1.791 -1.954             -1.2310000
## 4011   6.330        -1.049e+00            -2.242        2.343        0.1989000
## 3759   6.164        -1.041e+00  0.1154000 -2.229        2.328        0.2094000
## 3566   5.249 0.9365             0.3101000 -2.393        2.354 2.167 -0.0281100
## 3806   7.785 0.7844             0.2034000 -2.057 -2.064       2.155 -0.6251000
## 3534   6.382 0.5515             0.4578000 -2.052              2.408 -0.4553000
## 3887   6.323        -1.020e+00  0.1114000 -2.212        2.298                 
## 3680   7.761 0.7517 -6.315e-01  0.2963000 -2.096 -1.980       2.085           
## 3830   5.620 1.2700             0.2365000        -2.338 2.287 1.665 -0.4103000
## 3550   7.852 0.7923             0.1946000 -2.062 -2.079       2.189 -0.6385000
## 3448   5.698 1.2620 -4.406e-01  0.2993000        -2.303 2.335 1.654           
## 4074   5.347 0.9109                       -2.411        2.365 2.077 -0.0469500
## 2990   4.586 1.0630             0.2498000 -2.156        2.550        0.0473500
## 3574   5.677 1.2770             0.2314000        -2.351 2.293 1.692 -0.4203000
## 3918   6.005 0.5291             0.5070000 -2.064              2.321           
## 4058   7.934 0.7766                       -2.073 -2.088       2.137 -0.6538000
## 3879   5.164        -9.856e-01  0.3702000               1.921                 
## 3751   5.106        -9.633e-01  0.3488000               1.913       -0.0305100
## 2768   5.917 0.4912 -9.093e-01  0.6190000 -1.992              2.110 -0.2208000
## 4082   5.794 1.2620                              -2.368 2.304 1.641 -0.4421000
## 998    2.748 0.6381             0.9465000               1.716 1.557 -0.6795000
## 1471   6.235        -9.621e-02  0.2759000 -2.147 -2.060 2.426       -0.6949000
## 3424   7.899 0.7571 -6.051e-01  0.2963000 -2.105 -2.002       2.149           
## 3956   5.821 1.2410 -4.457e-01                   -2.321 2.351 1.579           
## 744    2.752 0.6423 -1.484e-01  0.9343000               1.704 1.531 -0.6760000
## 3416   6.693 0.8185 -5.746e-01  0.5044000        -1.983       1.952           
## 1766   2.771 0.6503             0.9119000               1.706 1.561 -0.7090000
## 4042   6.555 0.5117                       -2.078              2.285 -0.4887000
## 1820   6.302 0.4519 -3.897e-01            -1.863 -1.729                       
## 2896   5.856 0.4839 -9.488e-01  0.6422000 -2.006              2.109           
## 3932   8.007 0.7311 -6.183e-01            -2.123 -2.011       2.063           
## 2983   4.943        -1.035e+00  0.4142000               1.916        0.0020650
## 2776   6.284 0.7881 -6.439e-01  0.5378000        -1.971       1.780 -0.5987000
## 3726   6.436 0.6995             0.2948000 -1.808                    -0.4457000
## 904    4.553 0.5053 -5.549e-01  0.8331000                           -0.8199000
## 4021   6.446                   -0.0130100        -2.304 2.219       -0.3591000
## 1672   4.454 0.5113 -5.462e-01  0.8225000                           -0.8219000
## 1495   5.446         9.562e-02  0.7880000        -1.667       1.789 -1.2170000
## 1774   3.647 0.6201             0.7285000 -2.201        2.077 1.722 -0.5321000
## 4003   5.414        -9.487e-01                          1.939       -0.0769300
## 3958   5.375 1.2660             0.2798000        -2.317 2.348 1.659           
## 3360   8.697 0.9399 -8.778e-01  0.1215000 -1.909 -2.199                       
## 2991   5.859        -1.143e+00  0.2113000 -2.198        2.325        0.2534000
## 1439   7.369        -2.342e-01  0.4258000 -1.774 -1.856             -1.0650000
## 3511   7.124        -6.418e-01  0.0103300        -2.326 2.244       -0.2912000
## 3978   6.637 0.6809                       -1.834                    -0.4844000
## 752    3.544 0.6073 -1.901e-01  0.7701000 -2.185        2.076 1.675 -0.4758000
## 1748   5.495 0.4630  1.430e-01                   -1.752       1.509 -1.3620000
## 4045   6.419                    0.4153000 -2.057              2.358 -0.4037000
## 1006   3.518 0.6049             0.7794000 -2.182        2.090 1.707 -0.4843000
## 2002   5.552 0.4536                              -1.738       1.487 -1.3410000
## 3502   5.658 1.1480             0.1220000 -2.224        2.628       -0.0394200
## 2800   4.795 0.8729 -8.741e-01  0.4720000 -2.328        2.319 1.895  0.1878000
## 3924   6.906 0.7774 -5.867e-01                   -2.007       1.824           
## 3870   7.771 0.9235             0.0972700 -1.880 -2.176                       
## 3995   8.754        -8.812e-01            -1.893 -2.049             -0.4378000
## 3743   8.731        -8.806e-01  0.0156300 -1.892 -2.048             -0.4358000
## 2928   4.868 0.8726 -8.443e-01  0.4572000 -2.312        2.288 1.899           
## 3494   4.665 1.1380             0.3574000               2.212       -0.2682000
## 2520   6.414 0.8044 -5.889e-01  0.5247000        -2.011       1.871 -0.6412000
## 1868   5.089 0.1209 -2.696e-01            -2.032              1.783           
## 3926   6.231 0.8179             0.4805000        -1.991       1.940           
## 3216   7.501 0.7171 -1.012e+00  0.3335000 -1.848                    -0.3408000
## 980    5.357 0.4501  6.609e-02                   -1.750       1.475 -1.3220000
## 3854   6.217 0.6869             0.3375000 -1.833                              
## 3023   6.152        -9.121e-01  0.5749000 -2.010              2.149 -0.1988000
## 1902   3.420 0.5902             0.8248000 -2.237        2.164 1.710           
## 880    3.402 0.5775 -2.747e-01  0.8602000 -2.219        2.149 1.654           
## 1926   4.371 0.5334             0.7750000                           -0.8918000
## 3486   8.558 0.9875            -0.0067030 -1.852 -2.302             -0.7199000
## 3799   7.057        -4.947e-01  0.3576000        -1.915       1.940 -0.6289000
## 2512   6.121 0.4983 -8.554e-01  0.6247000 -2.003              2.245 -0.2669000
## 3934   7.461 0.7596             0.2724000 -2.091 -2.019       2.161           
## 3344   7.380 0.7071 -1.072e+00  0.3689000 -1.869                              
## 1927   4.807        -6.001e-01  0.7831000                           -0.7695000
## 1648   3.370 0.5951 -1.896e-01  0.8140000 -2.234        2.148 1.670           
## 3468   7.721 0.6945 -9.814e-01            -1.877                    -0.3888000
## 2464   8.342 0.9200 -8.909e-01  0.1632000 -1.830 -2.212             -0.5199000
## 3028   6.616 0.7613 -6.016e-01                   -2.035       1.727 -0.6824000
## 3871   8.564        -9.704e-01  0.0762500 -1.916 -2.012                       
## 872    2.489 0.6051 -2.551e-01  1.0570000               1.799 1.496           
## 3071   6.748        -6.737e-01  0.0980000 -2.392 -2.163 2.438 1.813  0.0227200
## 2974   7.393 0.9037             0.1348000 -1.792 -2.191             -0.6153000
## 2904   6.036 0.7699 -7.432e-01  0.5985000        -1.925       1.776           
## 2003   5.691         1.047e-01                   -1.702       1.558 -1.3070000
## 3030   5.914 0.8032             0.4971000        -2.020       1.843 -0.7181000
## 999    3.243        -2.139e-01  0.9015000               1.588 1.602 -0.6296000
## 3543   7.248        -4.604e-01  0.3584000        -1.942       2.020 -0.6589000
## 1894   2.400 0.6154             1.0360000               1.813 1.536           
## 3020   6.326 0.4414 -8.837e-01            -2.036              2.056 -0.3024000
## 2544   4.968 0.8802 -8.328e-01  0.4795000 -2.340        2.339 2.006  0.1543000
## 1640   2.368 0.6188 -2.153e-01  1.0280000               1.796 1.493           
## 2021   3.252                    0.8713000               1.590 1.644 -0.6722000
## 1510   3.157 0.6437             0.9502000               1.725 1.721 -0.7703000
## 3807   8.213        -5.445e-01  0.1753000 -2.091 -1.936       2.151 -0.4788000
## 3052   5.103 0.8384 -8.581e-01            -2.366        2.353 1.851  0.1330000
## 1518   4.021 0.6119             0.7653000 -2.220        2.099 1.870 -0.5841000
## 3951   5.958        -7.046e-01  0.2790000 -2.385        2.128 2.099           
## 4051   7.368        -4.702e-01                   -1.959       1.911 -0.6862000
## 2808   5.226 1.2070 -5.686e-01  0.3843000        -2.265 2.268 1.518 -0.2580000
## 1767   3.188        -1.514e-01  0.8592000               1.577 1.610 -0.6617000
## 2958   5.837 0.6645             0.3835000 -1.763                    -0.4133000
## 1256   3.082 0.6509 -1.889e-02  0.9349000               1.721 1.710 -0.7740000
## 3823   5.822        -7.076e-01  0.2699000 -2.395        2.144 2.092  0.1224000
## 4059   8.387        -5.360e-01            -2.105 -1.957       2.138 -0.5050000
## 2029   4.123                    0.6919000 -2.211        1.970 1.803 -0.4950000
## 1264   3.937 0.6199 -2.823e-02  0.7486000 -2.218        2.093 1.856 -0.5876000
## 488    3.055 0.6366 -9.299e-02  0.9773000               1.729 1.698 -0.7344000
## 1492   5.759 0.4702  2.379e-01                   -1.798       1.649 -1.4420000
## 2975   8.271        -9.833e-01  0.1109000 -1.856 -2.020             -0.3872000
## 3551   8.366        -5.204e-01  0.1768000 -2.098 -1.956       2.211 -0.5003000
## 2936   5.089 1.2090 -6.038e-01  0.4020000        -2.252 2.304 1.511           
## 1007   4.016        -2.537e-01  0.7397000 -2.195        1.968 1.742 -0.4303000
## 4053   6.892                    0.3312000        -1.950       2.002 -0.7214000
## 1775   4.049        -1.492e-01  0.6779000 -2.209        1.956 1.769 -0.4856000
## 4075   6.111        -7.082e-01            -2.422        2.174 2.072  0.0930000
## 2552   5.308 1.2220 -5.270e-01  0.3723000        -2.296 2.282 1.581 -0.2870000
## 2448   7.038 0.6842 -1.109e+00  0.4212000 -1.811                    -0.2974000
## 496    3.837 0.6011 -1.408e-01  0.8107000 -2.199        2.102 1.832 -0.5280000
## 3567   6.079        -6.840e-01  0.2877000 -2.409        2.164 2.190  0.0994400
## 1800   4.082 0.4474 -6.822e-01  0.9785000                                     
## 3981   6.713                    0.2273000 -1.826                    -0.4143000
## 3060   5.443 1.1940 -5.359e-01                   -2.315 2.296 1.476 -0.3138000
## 2784   7.283 0.7133 -7.322e-01  0.3880000 -1.995 -1.975       1.962 -0.4333000
## 1903   3.898        -2.510e-01  0.7835000 -2.241        2.038 1.742           
## 3935   8.048        -6.481e-01  0.2457000 -2.117 -1.895       2.144           
## 856    4.231 0.4395 -1.747e-01  1.0450000        -1.530       1.544           
## 3927   6.813        -6.287e-01  0.4515000        -1.862       1.928           
## 2026   4.256 0.5405                       -2.262        2.121 1.646 -0.6480000
## 1878   4.185 0.4462             1.0300000        -1.545       1.570           
## 1772   4.194 0.5467 -4.242e-02            -2.260        2.115 1.634 -0.6465000
## 1624   4.143 0.4504 -1.444e-01  1.0230000        -1.535       1.541           
## 4061   8.024                    0.1461000 -2.081 -1.975       2.217 -0.5814000
## 3022   5.372 0.4966             0.5893000 -1.963              2.203 -0.3811000
## 1924   5.028 0.4195 -4.505e-01                                      -0.9841000
## 4005   4.754                    0.2985000               1.944       -0.1978000
## 3062   4.894 1.2230             0.3478000        -2.311 2.284 1.571 -0.3608000
## 2528   7.390 0.7295 -6.797e-01  0.3717000 -2.003 -2.011       2.043 -0.4720000
## 1392   3.729 0.5856 -1.264e-01  0.8600000 -2.259        2.186 1.841           
## 1895   2.903        -2.768e-01  0.9945000               1.679 1.567           
## 1312   6.426 0.5614 -3.523e-01  0.6921000 -1.808 -1.784                       
## 3036   7.513 0.6968 -6.968e-01            -2.022 -2.022       1.927 -0.4930000
## 1758   5.843 0.4570             0.6768000 -1.904 -1.665       1.766 -1.0810000
## 3471   7.817        -1.027e+00  0.2671000 -1.867                    -0.3076000
## 3688   4.216 0.9291 -6.679e-01  0.5853000               1.927 1.805           
## 3031   6.552        -6.433e-01  0.4684000        -1.885       1.847 -0.5611000
## 2912   7.101 0.7023 -7.988e-01  0.4235000 -2.024 -1.943       1.961           
## 1004   4.078 0.5244 -1.545e-01            -2.243        2.125 1.588 -0.5913000
## 3997   8.416                   -0.0495400 -1.867 -2.119             -0.6043000
## 4013   5.769                    0.0634300 -2.201        2.357        0.0257100
## 3503   6.750        -9.775e-01  0.1010000 -2.246        2.395        0.1413000
## 1879   4.473        -1.899e-01  0.9960000        -1.492       1.590           
## 1519   4.426        -8.542e-02  0.7150000 -2.229        1.983 1.931 -0.5461000
## 1511   3.574        -7.497e-02  0.8965000               1.602 1.787 -0.7329000
## 2018   3.467 0.5555                                     1.746 1.457 -0.8632000
## 990    5.673 0.4445             0.7202000 -1.883 -1.667       1.747 -1.0380000
## 1764   3.421 0.5602 -2.369e-02                          1.742 1.450 -0.8628000
## 736    5.664 0.4471 -5.546e-02  0.7142000 -1.885 -1.662       1.737 -1.0360000
## 3054   4.275 0.8779             0.4467000 -2.302        2.330 1.984  0.0366100
## 3487   9.274        -8.023e-01 -0.0203000 -1.899 -2.141             -0.5201000
## 4077   5.577                    0.2514000 -2.384        2.157 2.184 -0.0016100
## 1790   4.741 0.8386             0.5468000 -2.231 -1.917 2.344 1.476 -0.7484000
## 996    3.356 0.5452 -9.703e-02                          1.751 1.421 -0.8259000
## 1384   2.736 0.6106 -1.389e-01  1.0780000               1.833 1.683           
## 3495   5.703        -8.943e-01  0.3338000               1.978       -0.1042000
## 3304   4.483 0.9399 -5.929e-01  0.5707000               1.923 1.921 -0.1726000
## 1022   4.624 0.8259             0.5905000 -2.214 -1.919 2.355 1.461 -0.7069000
## 3432   4.457 0.9338 -6.322e-01  0.5996000               1.950 1.921           
## 768    4.541 0.8373  8.920e-02  0.5682000 -2.213 -1.931 2.357 1.468 -0.7261000
## 2027   4.589        -9.683e-02            -2.266        2.015 1.699 -0.6029000
## 2013   6.116                    0.6465000 -1.924 -1.621       1.822 -1.0360000
## 3470   6.991 0.7397             0.2654000 -1.817                    -0.5239000
## 1759   6.040         9.091e-03  0.6278000 -1.923 -1.625       1.816 -1.0430000
## 1900   3.965 0.5009 -1.434e-01            -2.313        2.222 1.584           
## 1248   6.088 0.4635  1.170e-01  0.6793000 -1.916 -1.709       1.900 -1.1560000
## 1502   6.173 0.4530             0.7012000 -1.918 -1.696       1.892 -1.1360000
## 1516   4.525 0.5438  3.986e-02            -2.280        2.140 1.792 -0.7181000
## 3038   6.850 0.7315             0.3427000 -1.974 -2.030       2.031 -0.5709000
## 1280   4.899 0.8548  2.414e-01  0.5342000 -2.244 -1.972 2.373 1.603 -0.8282000
## 991    5.922        -9.636e-02  0.6840000 -1.904 -1.616       1.783 -0.9870000
## 3055   5.294        -8.861e-01  0.4118000 -2.334        2.146 1.978  0.1968000
## 3814   4.013 0.9371             0.5408000               1.918 1.892 -0.2496000
## 3812   4.713 0.8914 -6.091e-01                          1.940 1.767 -0.2124000
## 1534   5.049 0.8348             0.5738000 -2.246 -1.945 2.365 1.585 -0.7902000
## 3940   4.661 0.8850 -6.523e-01                          1.974 1.757           
## 2792   3.863 0.8904 -7.797e-01  0.6680000               1.906 1.726 -0.0732500
## 1368   4.503 0.4433 -6.272e-02  1.0640000        -1.577       1.718           
## 2920   3.851 0.8875 -7.974e-01  0.6806000               1.918 1.724           
## 3942   3.902 0.9323             0.5730000               1.959 1.889           
## 2019   3.798        -7.418e-02                          1.637 1.515 -0.8203000
## 480    5.915 0.4474  6.147e-03  0.7352000 -1.893 -1.705       1.870 -1.0970000
## 1788   5.094 0.8048  2.350e-01            -2.274 -1.989 2.392 1.446 -0.8733000
## 512    4.762 0.8382  1.331e-01  0.5913000 -2.224 -1.967 2.381 1.577 -0.7699000
## 2042   5.232 0.7835                       -2.277 -1.964 2.384 1.414 -0.8394000
## 3558   4.221 0.9436             0.5459000               1.933 1.983 -0.2738000
## 3039   7.529        -7.289e-01  0.3192000 -2.023 -1.897       2.025 -0.3987000
## 1756   6.360 0.3961  1.112e-01            -1.952 -1.730       1.707 -1.2200000
## 2010   6.424 0.3866                       -1.955 -1.718       1.692 -1.2030000
## 1503   6.361         7.632e-02  0.6483000 -1.936 -1.662       1.951 -1.1070000
## 3556   4.924 0.9006 -5.598e-01                          1.957 1.878 -0.2497000
## 1014   3.823 0.8554             0.7636000        -1.883 1.971 1.314 -0.9009000
## 760    3.722 0.8690  1.269e-01  0.7377000        -1.900 1.975 1.326 -0.9248000
## 1782   3.835 0.8655             0.7359000        -1.884 1.963 1.317 -0.9240000
## 1508   3.746 0.5609  7.494e-02                          1.764 1.622 -0.9469000
## 1020   4.948 0.7848  1.265e-01            -2.256 -1.986 2.400 1.399 -0.8189000
## 3776   7.253 1.4320 -7.113e-01 -0.1335000 -2.327 -2.517 2.933       -0.0273700
## 3904   7.232 1.4320 -7.141e-01 -0.1328000 -2.329 -2.516 2.937                 
## 1416   5.121 0.5380 -4.309e-01  0.8228000                           -0.9549000
## 1918   4.326 0.7950             0.6758000 -2.280 -1.849 2.454 1.461           
## 1532   5.338 0.8074  2.968e-01            -2.289 -2.024 2.414 1.551 -0.9268000
## 4066   4.433 0.9009                                     1.950 1.846 -0.3174000
## 4028   7.136 1.4390 -7.217e-01            -2.314 -2.501 2.922       -0.0092710
## 988    6.167 0.3771 -2.836e-04            -1.930 -1.727       1.656 -1.1640000
## 2536   4.060 0.8982 -7.334e-01  0.6793000               1.927 1.853 -0.1125000
## 2011   6.552         7.440e-02            -1.967 -1.687       1.751 -1.1720000
## 1664   4.200 0.8079  5.575e-02  0.6512000 -2.279 -1.857 2.454 1.459           
## 896    4.204 0.7925 -2.233e-02  0.6919000 -2.265 -1.853 2.454 1.443           
## 1892   3.032 0.5048 -1.484e-01                          1.872 1.375           
## 1500   6.625 0.4001  1.938e-01            -1.965 -1.771       1.837 -1.2920000
## 1272   4.021 0.8827  2.470e-01  0.7257000        -1.943 1.993 1.459 -1.0130000
## 1526   4.160 0.8636             0.7636000        -1.917 1.983 1.439 -0.9756000
## 504    3.958 0.8709  1.777e-01  0.7627000        -1.940 2.000 1.446 -0.9753000
## 3044   4.281 0.8414 -7.553e-01                          1.946 1.659 -0.1573000
## 3046   3.413 0.8937             0.6457000               1.921 1.808 -0.2051000
## 3831   6.245        -4.330e-01  0.1942000        -2.132 1.997 1.738 -0.3092000
## 2045   5.275                    0.4955000 -2.242 -1.824 2.184 1.592 -0.6927000
## 3943   4.754        -6.991e-01  0.5392000               1.741 1.888           
## 1408   4.496 0.8040  1.082e-01  0.6845000 -2.300 -1.890 2.489 1.588           
## 3815   4.726        -6.565e-01  0.5041000               1.719 1.890 -0.1253000
## 4083   6.443        -4.269e-01                   -2.157 2.017 1.721 -0.3352000
## 3520   7.554 1.4690 -6.539e-01 -0.1622000 -2.339 -2.586 2.983       -0.0764400
## 3575   6.405        -4.151e-01  0.2015000        -2.151 2.010 1.795 -0.3262000
## 1791   5.149         1.164e-01  0.4594000 -2.241 -1.838 2.182 1.600 -0.7190000
## 1876   4.840 0.3349 -6.648e-02                   -1.605       1.423           
## 3959   6.144        -5.043e-01  0.2447000        -2.110 2.043 1.729           
## 1023   5.073         1.137e-02  0.5186000 -2.225 -1.830 2.192 1.571 -0.6622000
## 1886   5.235 0.3736             0.8624000 -1.954 -1.550       1.758           
## 864    5.196 0.3644 -2.104e-01  0.8910000 -1.941 -1.535       1.714           
## 1632   5.189 0.3781 -1.411e-01  0.8545000 -1.953 -1.540       1.728           
## 4085   6.116                    0.1763000        -2.163 2.010 1.792 -0.3868000
## 1780   4.309 0.8164  2.517e-01                   -1.973 2.014 1.262 -1.0890000
## 4030   6.965 1.4610            -0.1907000 -2.311 -2.582 2.962       -0.1607000
## 2034   4.429 0.7965                              -1.947 2.004 1.225 -1.0540000
## 3559   5.016        -6.190e-01  0.5209000               1.738 2.012 -0.1591000
## 1012   4.215 0.8038  1.823e-01                   -1.971 2.022 1.232 -1.0530000
## 1535   5.452         1.641e-01  0.4850000 -2.256 -1.871 2.206 1.714 -0.7654000
## 1916   4.696 0.7389  9.926e-02            -2.343 -1.909 2.521 1.385           
## 1887   5.491        -1.837e-01  0.8348000 -1.967 -1.503       1.772           
## 2043   5.560         1.542e-01            -2.281 -1.886 2.228 1.549 -0.8023000
## 4067   5.154        -6.376e-01                          1.759 1.849 -0.1911000
## 920    5.532 0.6695 -2.657e-01  0.6661000        -1.803             -1.1050000
## 1688   5.500 0.6742 -2.529e-01  0.6566000        -1.806             -1.1120000
## 3008   6.654 1.3770 -8.451e-01 -0.0143400 -2.276 -2.472 2.904        0.0333600
## 3047   4.374        -7.936e-01  0.6091000               1.729 1.811 -0.0640200
## 1942   5.484 0.6864             0.6332000        -1.835             -1.1480000
## 1910   3.263 0.8151             0.8949000        -1.800 2.088 1.291           
## 888    3.250 0.8144 -9.594e-03  0.8975000        -1.800 2.088 1.288           
## 4069   4.504                    0.4863000               1.733 1.977 -0.2393000
## 1656   3.155 0.8259  2.253e-02  0.8738000        -1.804 2.086 1.285           
## 2037   4.370                    0.6813000        -1.787 1.795 1.434 -0.8685000
## 1524   4.553 0.8234  3.309e-01                   -2.015 2.035 1.382 -1.1550000
## 1015   4.269         4.671e-02  0.6868000        -1.795 1.802 1.431 -0.8598000
## 1783   4.254         1.088e-01  0.6477000        -1.801 1.793 1.442 -0.8928000
## 1919   4.794        -2.214e-02  0.6034000 -2.286 -1.764 2.288 1.563           
## 3063   5.764        -5.851e-01  0.3091000        -2.101 2.002 1.646 -0.2394000
## 1376   5.539 0.3697 -6.940e-02  0.8923000 -1.973 -1.577       1.893           
## 912    5.422 0.4429 -6.269e-01  0.6970000 -1.741                    -0.6953000
## 936    3.319 0.7909 -4.297e-01  0.7839000               1.909       -0.5613000
## 1680   5.386 0.4532 -5.914e-01  0.6731000 -1.744                    -0.7131000
## 1704   3.195 0.7982 -4.183e-01  0.7702000               1.906       -0.5646000
## 1527   4.573         1.706e-01  0.6725000        -1.840 1.817 1.572 -0.9509000
## 1940   5.964 0.6090 -1.635e-01                   -1.861             -1.2500000
## 1400   3.467 0.8240  8.970e-02  0.9105000        -1.844 2.122 1.433           
## 1943   5.871        -3.198e-01  0.5985000        -1.743             -1.0380000
## 1958   3.148 0.8160             0.7403000               1.936       -0.6109000
## 1935   5.717        -6.424e-01  0.6393000 -1.760                    -0.6646000
## 968    3.865 0.3585 -2.606e-01  1.0260000                     1.729 -0.9002000
## 1736   3.862 0.3738 -1.923e-01  0.9873000                     1.743 -0.9360000
## 1990   3.890 0.3716             0.9884000                     1.782 -0.9566000
## 1832   2.943 0.7619 -5.161e-01  0.8822000               1.981                 
## 2035   4.755         1.748e-01                   -1.870 1.846 1.365 -1.0190000
## 1934   5.287 0.4778             0.6221000 -1.732                    -0.7897000
## 1884   5.828 0.2772 -8.072e-02            -2.025 -1.598       1.639           
## 1991   4.149        -2.354e-01  0.9723000                     1.779 -0.8957000
## 4092   6.957 1.2660 -4.425e-01            -2.467 -2.382 2.725 1.820 -0.0895400
## 3840   6.941 1.2680 -4.411e-01  0.0074160 -2.466 -2.382 2.724 1.820 -0.0891300
## 3584   6.979 1.2690 -4.357e-01  0.0081570 -2.468 -2.387 2.727 1.834 -0.0935700
## 3968   6.911 1.2650 -4.605e-01  0.0197600 -2.473 -2.375 2.737 1.818           
## 1808   5.097 0.3954 -7.130e-01  0.8073000 -1.780                              
## 3720   5.799 0.7289 -1.016e+00  0.5287000                           -0.3880000
## 3768   6.101 1.4090 -6.403e-01  0.1201000        -2.432 2.485       -0.2699000
## 4020   6.178 1.4050 -6.256e-01                   -2.447 2.492       -0.2891000
## 1932   5.901 0.3747 -5.189e-01            -1.799                    -0.8403000
## 1911   3.752        -5.561e-02  0.8242000        -1.709 1.914 1.390           
## 3896   5.961 1.4040 -6.889e-01  0.1513000        -2.414 2.521                 
## 2952   5.566 0.7040 -1.083e+00  0.5861000                           -0.3552000
## 3848   5.684 0.7113 -1.096e+00  0.5831000                                     
## 4094   6.770 1.2790            -0.0198700 -2.460 -2.417 2.736 1.871 -0.1713000
## 1908   3.737 0.7384  8.972e-02                   -1.873 2.161 1.177           
## 1956   3.744 0.7129 -3.331e-01                          1.932       -0.7109000
## 1432   6.079 0.7074 -1.366e-01  0.6427000        -1.907             -1.2390000
## 1959   3.803        -5.049e-01  0.7099000               1.769       -0.5051000
## 1816   4.867 0.5822 -4.424e-01  0.8654000        -1.666                       
## 3972   6.204 0.6865 -9.761e-01                                      -0.4669000
## 1480   4.243 0.3685 -1.026e-01  1.0170000                     1.930 -1.0190000
## 3000   5.665 1.3690 -7.412e-01  0.2047000        -2.400 2.470       -0.2207000
## 4022   5.846 1.4350             0.0664300        -2.491 2.514       -0.3887000
## 944    4.116 0.7720 -4.913e-01  0.6118000 -2.080        2.282       -0.3621000
## 3512   6.427 1.4500 -5.764e-01  0.0896500        -2.509 2.537       -0.3256000
## 1712   4.062 0.7847 -4.473e-01  0.5816000 -2.082        2.277       -0.3845000
## 952    4.253 1.0140 -8.740e-02  0.5895000        -2.028 2.169       -0.8472000
## 1974   4.234 1.0210             0.5785000        -2.039 2.175       -0.8603000
## 1720   4.198 1.0210 -7.086e-02  0.5764000        -2.031 2.167       -0.8551000
## 3736   7.324 0.9681 -7.722e-01  0.2694000        -2.126             -0.6346000
## 1864   3.470 0.3034 -3.594e-01  1.1630000                     1.697           
## 1840   3.943 0.7565 -5.230e-01  0.6622000 -2.110        2.334                 
## 3988   7.507 0.9556 -7.405e-01                   -2.158             -0.6799000
## 3975   6.137        -1.043e+00  0.4754000                           -0.3492000
## 1966   4.011 0.8037             0.5502000 -2.078        2.309       -0.4343000
## 1982   5.145 1.0130             0.3797000 -2.130 -2.089 2.564       -0.6854000
## 1728   5.109 1.0120 -9.248e-02  0.3789000 -2.130 -2.078 2.553       -0.6776000
## 960    5.086 0.9999 -1.430e-01  0.4095000 -2.124 -2.071 2.555       -0.6499000
## 2968   6.918 0.9369 -8.572e-01  0.3399000        -2.100             -0.5904000
## 1964   4.530 0.7168 -3.913e-01            -2.135        2.308       -0.4872000
## 1448   3.781 0.8303 -3.162e-01  0.7746000               1.978       -0.6725000
## 1988   4.588 0.2707 -9.966e-02                                1.649 -1.1220000
## 3974   5.389 0.7483             0.4660000                           -0.5732000
## 1972   4.618 0.9643  3.704e-03                   -2.081 2.192       -0.9718000
## 3864   7.035 0.9407 -8.941e-01  0.3500000        -2.072                       
## 1980   5.427 0.9718 -5.061e-02            -2.165 -2.111 2.577       -0.7486000
## 3990   7.025 0.9954             0.2041000        -2.194             -0.7838000
## 1424   6.055 0.4794 -4.772e-01  0.6738000 -1.747                    -0.8453000
## 1967   4.671        -5.348e-01  0.5238000 -2.089        2.145       -0.3244000
## 1848   3.691 0.9634 -2.140e-01  0.7372000        -1.934 2.264                 
## 1856   4.748 0.9648 -2.106e-01  0.5053000 -2.175 -2.002 2.638                 
## 3464   6.410 0.7678 -9.279e-01  0.5051000                           -0.4867000
## 3480   7.791 1.0120 -6.871e-01  0.2301000        -2.222             -0.7212000
## 3072   6.183 1.2040 -6.454e-01  0.1616000 -2.388 -2.330 2.700 1.685 -0.0011770
## 1464   4.675 1.0560  2.607e-02  0.5680000        -2.122 2.233       -0.9518000
## 3760   5.624 1.0870 -1.011e+00  0.2002000 -2.234        2.539        0.1938000
## 3888   5.744 1.0840 -9.849e-01  0.1892000 -2.218        2.509                 
## 4012   5.819 1.0680 -1.004e+00            -2.255        2.554        0.1702000
## 4031   7.863        -7.834e-01 -0.2077000 -2.314 -2.324 2.633        0.0135500
## 1744   4.823 0.2961 -2.056e-01  0.8404000 -1.912              1.921 -0.8284000
## 1998   4.852 0.2937             0.8414000 -1.911              1.963 -0.8505000
## 976    4.745 0.2768 -3.113e-01  0.8959000 -1.894              1.891 -0.7722000
## 1999   5.081        -2.462e-01  0.8334000 -1.925              1.952 -0.7933000
## 1696   6.439 0.6163 -2.973e-01  0.5061000 -1.750 -1.811             -1.0030000
## 928    6.404 0.6073 -3.374e-01  0.5295000 -1.744 -1.806             -0.9811000
## 1472   5.582 1.0460 -1.623e-03  0.3717000 -2.142 -2.166 2.619       -0.7687000
## 3784   5.337 0.6060 -6.841e-01  0.6707000                     2.013 -0.4482000
## 1950   6.413 0.6313             0.4784000 -1.744 -1.846             -1.0460000
## 3880   4.589 1.0700 -9.504e-01  0.4478000               2.128                 
## 3752   4.569 1.0760 -9.328e-01  0.4332000               2.120       -0.0465500
## 2992   5.244 1.0440 -1.120e+00  0.2975000 -2.197        2.524        0.2414000
## 3991   7.639        -8.080e-01  0.1994000        -2.018             -0.5757000
## 2984   4.327 1.0450 -1.012e+00  0.5004000               2.115       -0.0098580
## 3912   5.222 0.5843 -7.816e-01  0.7365000                     2.004           
## 1975   4.858        -1.851e-01  0.4981000        -1.919 1.977       -0.7703000
## 1456   4.650 0.8151 -3.501e-01  0.5867000 -2.096        2.351       -0.4877000
## 1948   6.829 0.5635 -2.328e-01            -1.791 -1.853             -1.1060000
## 4004   4.911 1.0420 -9.045e-01                          2.143       -0.1063000
## 3528   5.613 0.6111 -6.316e-01  0.6777000                     2.145 -0.4931000
## 1488   5.199 0.2890 -1.252e-01  0.8698000 -1.929              2.097 -0.9033000
## 1951   6.794        -3.605e-01  0.4527000 -1.771 -1.754             -0.9346000
## 4038   5.072 0.6100             0.6420000                     2.101 -0.5716000
## 3728   6.870 0.6814 -1.093e+00  0.3521000 -1.842                    -0.2454000
## 3016   4.927 0.5655 -8.224e-01  0.7697000                     1.928 -0.3856000
## 4039   5.630        -7.058e-01  0.6356000                     2.055 -0.4153000
## 3856   6.814 0.6689 -1.146e+00  0.3870000 -1.856                              
## 1872   4.514 0.2306 -3.574e-01  0.9958000 -1.950              1.885           
## 3744   8.427 0.9225 -8.484e-01  0.0872600 -1.869 -2.150             -0.4926000
## 3996   8.470 0.9209 -8.345e-01            -1.876 -2.161             -0.5077000
## 1983   5.771        -2.077e-01  0.3025000 -2.135 -1.967 2.366       -0.5922000
## 4036   5.874 0.5535 -6.451e-01                                1.965 -0.5457000
## 3980   7.164 0.6515 -1.070e+00            -1.873                    -0.2947000
## 2960   6.519 0.6487 -1.184e+00  0.4324000 -1.812                    -0.2030000
## 3792   6.481 0.5401 -7.358e-01  0.4888000 -2.053              2.225 -0.2956000
## 1996   5.492 0.2036 -1.323e-01            -1.974              1.848 -0.9810000
## 3872   8.214 0.9015 -9.423e-01  0.1454000 -1.897 -2.109                       
## 3952   5.481 0.9193 -6.865e-01  0.3386000 -2.384        2.313 2.019           
## 3920   6.432 0.5232 -8.040e-01  0.5344000 -2.070              2.221           
## 3504   6.123 1.1260 -9.422e-01  0.1819000 -2.250        2.607        0.1265000
## 3824   5.375 0.9255 -6.941e-01  0.3362000 -2.393        2.331 2.013  0.1124000
## 4095   7.472        -4.910e-01 -0.0433000 -2.463 -2.202 2.447 1.942 -0.0554300
## 2006   4.954 0.5279             0.8367000        -1.669       1.592 -1.1820000
## 4014   5.202 1.1090             0.1437000 -2.208        2.568        0.0135400
## 4006   4.191 1.0960             0.3785000               2.152       -0.2104000
## 1752   4.884 0.5368  4.977e-02  0.8191000        -1.677       1.593 -1.1950000
## 984    4.833 0.5236 -1.886e-02  0.8542000        -1.670       1.576 -1.1570000
## 3800   6.810 0.8404 -4.760e-01  0.4158000        -2.012       1.879 -0.6775000
## 3568   5.590 0.9272 -6.666e-01  0.3468000 -2.406        2.347 2.102  0.0889000
## 3536   6.733 0.5430 -6.930e-01  0.4956000 -2.067              2.340 -0.3323000
## 1824   5.902 0.5313 -4.707e-01  0.6912000 -1.799 -1.686                       
## 4076   5.690 0.8973 -6.840e-01            -2.426        2.358 1.991  0.0731200
## 3544   6.954 0.8499 -4.378e-01  0.4094000        -2.039       1.948 -0.7077000
## 2976   7.891 0.8828 -9.572e-01  0.1829000 -1.830 -2.116             -0.4384000
## 4044   6.908 0.4988 -7.117e-01            -2.094              2.195 -0.3624000
## 3983   7.197        -1.120e+00  0.3010000 -1.859                    -0.2077000
## 3496   5.079 1.1180 -8.592e-01  0.4146000               2.188       -0.1194000
## 4023   6.706        -7.113e-01  0.0451900        -2.243 2.192       -0.2284000
## 1440   7.019 0.6491 -1.823e-01  0.4927000 -1.752 -1.912             -1.1290000
## 4047   6.758        -7.571e-01  0.4577000 -2.071              2.264 -0.2644000
## 4052   7.138 0.8185 -4.402e-01                   -2.061       1.846 -0.7443000
## 4054   6.624 0.8516             0.3835000        -2.048       1.935 -0.7684000
## 3808   7.971 0.7757 -5.266e-01  0.2311000 -2.066 -2.025       2.091 -0.5254000
## 3552   8.082 0.7823 -4.988e-01  0.2260000 -2.073 -2.045       2.143 -0.5471000
## 4060   8.163 0.7630 -5.074e-01            -2.085 -2.052       2.075 -0.5609000
## 2007   5.188        -1.690e-03  0.7865000        -1.621       1.647 -1.1370000
## 1496   5.196 0.5382  1.297e-01  0.8356000        -1.719       1.736 -1.2680000
## 3998   8.086 0.9528             0.0184400 -1.845 -2.224             -0.6581000
## 4046   6.188 0.5450             0.4588000 -2.040              2.318 -0.4293000
## 3832   5.762 1.2620 -3.963e-01  0.2589000        -2.308 2.275 1.618 -0.3377000
## 3488   8.888 0.9659 -7.649e-01  0.0479100 -1.875 -2.244             -0.5771000
## 3576   5.850 1.2680 -3.751e-01  0.2563000        -2.324 2.284 1.659 -0.3536000
## 4078   5.109 0.9297             0.3116000 -2.382        2.343 2.101 -0.0107700
## 4084   5.964 1.2510 -3.752e-01                   -2.340 2.295 1.596 -0.3757000
## 3928   6.527 0.8092 -6.133e-01  0.5063000        -1.953       1.867           
## 4015   6.236        -1.060e+00  0.1349000 -2.229        2.333        0.2169000
## 3960   5.609 1.2540 -4.634e-01  0.3016000        -2.284 2.321 1.607           
## 4062   7.762 0.7881             0.1967000 -2.057 -2.065       2.153 -0.6265000
## 3936   7.770 0.7505 -6.336e-01  0.2986000 -2.096 -1.980       2.085           
## 4086   5.608 1.2720             0.2331000        -2.339 2.287 1.664 -0.4111000
## 4007   5.175        -9.813e-01  0.3674000               1.917       -0.0234400
## 1000   2.840 0.6307 -1.821e-01  0.9600000               1.708 1.532 -0.6597000
## 2022   2.867 0.6406             0.9324000               1.711 1.570 -0.7006000
## 3024   5.915 0.4916 -9.084e-01  0.6182000 -1.992              2.110 -0.2211000
## 1768   2.806 0.6458 -1.188e-01  0.9217000               1.701 1.542 -0.6932000
## 2030   3.752 0.6094             0.7507000 -2.202        2.083 1.732 -0.5227000
## 3032   6.249 0.7952 -6.298e-01  0.5240000        -1.976       1.780 -0.6045000
## 3982   6.407 0.7033             0.2875000 -1.808                    -0.4472000
## 1928   4.528 0.5038 -5.650e-01  0.8379000                           -0.8139000
## 1776   3.681 0.6156 -1.181e-01  0.7382000 -2.201        2.073 1.704 -0.5163000
## 1008   3.632 0.5958 -2.235e-01  0.7957000 -2.185        2.080 1.676 -0.4596000
## 2004   5.506 0.4616  1.407e-01                   -1.751       1.510 -1.3610000
## 3056   4.805 0.8713 -8.774e-01  0.4752000 -2.328        2.319 1.895  0.1892000
## 3999   8.739        -8.829e-01  0.0180100 -1.892 -2.047             -0.4350000
## 3472   7.477 0.7197 -1.007e+00  0.3282000 -1.848                    -0.3425000
## 1904   3.515 0.5816 -2.216e-01  0.8411000 -2.235        2.152 1.677           
## 4055   7.082        -5.016e-01  0.3651000        -1.913       1.941 -0.6263000
## 1896   2.507 0.6058 -2.461e-01  1.0540000               1.799 1.500           
## 2023   3.311        -1.839e-01  0.8893000               1.585 1.615 -0.6472000
## 4079   5.906        -7.293e-01  0.2929000 -2.396        2.149 2.094  0.1310000
## 4063   8.237        -5.512e-01  0.1825000 -2.091 -1.934       2.151 -0.4763000
## 1512   3.173 0.6420 -3.887e-02  0.9539000               1.724 1.717 -0.7655000
## 1520   4.041 0.6097 -5.110e-02  0.7703000 -2.220        2.097 1.863 -0.5777000
## 2031   4.181        -1.838e-01  0.7099000 -2.211        1.965 1.774 -0.4700000
## 3064   5.197 1.2130 -5.567e-01  0.3727000        -2.269 2.268 1.517 -0.2630000
## 3040   7.241 0.7217 -7.155e-01  0.3716000 -1.996 -1.980       1.962 -0.4402000
## 1880   4.245 0.4400 -1.679e-01  1.0430000        -1.530       1.546           
## 2028   4.280 0.5374 -5.960e-02            -2.262        2.119 1.636 -0.6407000
## 2014   5.908 0.4497             0.6908000 -1.905 -1.662       1.773 -1.0760000
## 3816   4.277 0.9302 -6.430e-01  0.5705000               1.906 1.811 -0.1352000
## 3944   4.276 0.9220 -6.809e-01  0.5989000               1.927 1.808           
## 1760   5.836 0.4585  3.529e-02  0.6736000 -1.904 -1.668       1.772 -1.0870000
## 2020   3.481 0.5536 -3.586e-02                          1.745 1.451 -0.8588000
## 992    5.703 0.4413 -7.090e-02  0.7260000 -1.884 -1.659       1.738 -1.0280000
## 2046   4.828 0.8293             0.5658000 -2.232 -1.914 2.349 1.484 -0.7402000
## 1792   4.702 0.8475  1.733e-01  0.5308000 -2.231 -1.936 2.354 1.501 -0.7737000
## 3560   4.524 0.9352 -6.017e-01  0.5803000               1.924 1.924 -0.1694000
## 1024   4.594 0.8296  6.746e-02  0.5848000 -2.213 -1.927 2.359 1.470 -0.7153000
## 2015   6.119        -1.256e-02  0.6479000 -1.924 -1.620       1.820 -1.0340000
## 1504   6.139 0.4580  1.055e-01  0.6902000 -1.917 -1.706       1.904 -1.1520000
## 1536   4.971 0.8472  2.248e-01  0.5498000 -2.245 -1.968 2.376 1.609 -0.8208000
## 4070   4.034 0.9342             0.5465000               1.919 1.893 -0.2483000
## 4068   4.736 0.8887 -6.136e-01                          1.941 1.767 -0.2111000
## 3048   3.878 0.8879 -7.851e-01  0.6732000               1.907 1.726 -0.0710600
## 2044   5.153 0.7981  2.229e-01            -2.276 -1.987 2.394 1.448 -0.8690000
## 2012   6.389 0.3927  1.052e-01            -1.953 -1.729       1.708 -1.2180000
## 2038   3.912 0.8571             0.7530000        -1.881 1.967 1.324 -0.9167000
## 1784   3.797 0.8740  1.675e-01  0.7204000        -1.902 1.973 1.341 -0.9484000
## 1016   3.777 0.8611  1.047e-01  0.7547000        -1.896 1.978 1.327 -0.9138000
## 4032   7.244 1.4330 -7.087e-01 -0.1361000 -2.327 -2.518 2.933       -0.0284300
## 1920   4.314 0.7965  2.951e-02  0.6734000 -2.280 -1.852 2.456 1.465           
## 1528   4.080 0.8765  2.333e-01  0.7387000        -1.941 1.995 1.464 -1.0070000
## 4087   6.289        -4.451e-01  0.2072000        -2.129 2.000 1.740 -0.3043000
## 2047   5.253         8.756e-02  0.4860000 -2.243 -1.833 2.188 1.605 -0.7057000
## 4071   4.805        -6.770e-01  0.5258000               1.723 1.892 -0.1172000
## 1888   5.294 0.3674 -1.653e-01  0.8750000 -1.953 -1.535       1.734           
## 2036   4.343 0.8125  2.446e-01                   -1.972 2.016 1.262 -1.0870000
## 1944   5.538 0.6699 -2.633e-01  0.6650000        -1.803             -1.1070000
## 1912   3.264 0.8150 -2.658e-03  0.8952000        -1.799 2.088 1.291           
## 2039   4.349         8.209e-02  0.6723000        -1.796 1.798 1.446 -0.8806000
## 1936   5.463 0.4453 -6.109e-01  0.6890000 -1.745                    -0.7048000
## 1960   3.288 0.7890 -4.424e-01  0.7900000               1.910       -0.5537000
## 1992   3.960 0.3633 -2.166e-01  1.0080000                     1.747 -0.9255000
## 4096   6.949 1.2660 -4.433e-01  0.0097130 -2.466 -2.381 2.724 1.820 -0.0882000
## 3976   5.823 0.7261 -1.021e+00  0.5343000                           -0.3859000
## 4024   6.090 1.4100 -6.373e-01  0.1172000        -2.433 2.485       -0.2712000
## 1968   4.163 0.7748 -4.733e-01  0.6028000 -2.084        2.282       -0.3726000
## 1976   4.255 1.0150 -8.644e-02  0.5891000        -2.028 2.169       -0.8478000
## 3992   7.301 0.9713 -7.660e-01  0.2632000        -2.128             -0.6370000
## 1984   5.172 1.0050 -1.099e-01  0.3930000 -2.131 -2.074 2.556       -0.6694000
## 4016   5.666 1.0810 -1.021e+00  0.2105000 -2.234        2.540        0.1980000
## 2000   4.927 0.2848 -2.313e-01  0.8626000 -1.913              1.926 -0.8173000
## 1952   6.480 0.6118 -3.084e-01  0.5151000 -1.750 -1.809             -0.9983000
## 4040   5.380 0.6006 -6.944e-01  0.6812000                     2.014 -0.4443000
## 4008   4.608 1.0710 -9.426e-01  0.4428000               2.122       -0.0426900
## 3984   6.893 0.6786 -1.099e+00  0.3577000 -1.842                    -0.2433000
## 4000   8.403 0.9259 -8.420e-01  0.0809300 -1.869 -2.152             -0.4951000
## 4048   6.526 0.5344 -7.466e-01  0.4997000 -2.053              2.227 -0.2915000
## 4080   5.435 0.9181 -7.088e-01  0.3511000 -2.394        2.332 2.015  0.1182000
## 2008   4.945 0.5295  3.327e-02  0.8333000        -1.673       1.597 -1.1880000
## 4056   6.807 0.8409 -4.751e-01  0.4150000        -2.012       1.879 -0.6778000
## 4064   7.970 0.7759 -5.262e-01  0.2306000 -2.066 -2.025       2.091 -0.5256000
## 4088   5.767 1.2610 -3.976e-01  0.2602000        -2.307 2.275 1.618 -0.3372000
## 2024   2.917 0.6341 -1.470e-01  0.9461000               1.705 1.547 -0.6803000
## 2032   3.803 0.6029 -1.488e-01  0.7646000 -2.202        2.078 1.709 -0.5022000
## 4072   4.332 0.9234 -6.564e-01  0.5842000               1.908 1.813 -0.1299000
## 2016   5.904 0.4505  1.730e-02  0.6890000 -1.905 -1.664       1.776 -1.0780000
## 2048   4.786 0.8379  1.508e-01  0.5500000 -2.232 -1.931 2.357 1.505 -0.7630000
## 2040   3.871 0.8655  1.474e-01  0.7376000        -1.898 1.975 1.345 -0.9390000
##              x6       x7         x8     x9 df   logLik   BIC delta weight
## 1                                           2 -115.358 238.5  0.00  0.033
## 33                                          3 -114.085 239.9  1.37  0.017
## 17                                          3 -114.098 239.9  1.39  0.017
## 9                                           3 -114.122 240.0  1.44  0.016
## 65                                          3 -114.134 240.0  1.46  0.016
## 2105                                -2.331  6 -108.380 240.2  1.69  0.014
## 41                                          4 -112.300 240.2  1.71  0.014
## 2049                                -1.785  3 -114.340 240.4  1.88  0.013
## 57                                          5 -110.466 240.5  1.95  0.013
## 49                                          4 -112.471 240.6  2.05  0.012
## 2169                                -2.624  7 -106.631 240.6  2.11  0.012
## 2065                                -2.178  4 -112.535 240.7  2.18  0.011
## 2097                                -2.308  5 -110.590 240.7  2.20  0.011
## 73                                          4 -112.559 240.8  2.23  0.011
## 2113                                -2.156  4 -112.601 240.8  2.31  0.011
## 25                                          4 -112.769 241.2  2.65  0.009
## 2121                                -2.188  5 -110.873 241.3  2.77  0.008
## 513             1.192000                    3 -114.826 241.4  2.85  0.008
## 105                                         5 -110.947 241.5  2.92  0.008
## 2081                                -1.865  4 -112.915 241.5  2.94  0.008
## 2129                                -2.489  5 -110.965 241.5  2.95  0.008
## 2153                                -2.240  6 -109.055 241.6  3.04  0.007
## 2089                                -1.877  5 -111.025 241.6  3.07  0.007
## 2137                                -2.522  6 -109.107 241.7  3.15  0.007
## 129                                         3 -115.001 241.7  3.20  0.007
## 2057                                -1.784  4 -113.054 241.8  3.22  0.007
## 97                                          4 -113.061 241.8  3.23  0.007
## 2073                                -2.180  5 -111.114 241.8  3.25  0.007
## 81                                          4 -113.070 241.8  3.25  0.007
## 5                                           3 -115.084 241.9  3.37  0.006
## 2161                                -2.571  6 -109.288 242.0  3.51  0.006
## 121                                         6 -109.374 242.2  3.68  0.005
## 3                                           3 -115.288 242.3  3.77  0.005
## 2106                                -2.622  7 -107.467 242.3  3.78  0.005
## 2                                           3 -115.307 242.4  3.81  0.005
## 2145                                -2.196  5 -111.398 242.4  3.82  0.005
## 89                                          5 -111.426 242.4  3.87  0.005
## 1025                     -0.1356000         3 -115.351 242.4  3.90  0.005
## 257   0.0703100                             3 -115.356 242.4  3.91  0.005
## 145                                         4 -113.569 242.8  4.25  0.004
## 521             1.180000                    4 -113.574 242.8  4.26  0.004
## 113                                         5 -111.674 242.9  4.37  0.004
## 545             1.073000                    4 -113.635 242.9  4.38  0.004
## 69                                          4 -113.658 243.0  4.42  0.004
## 529             1.043000                    4 -113.674 243.0  4.46  0.004
## 2098                                -2.593  6 -109.790 243.1  4.51  0.004
## 193                                         4 -113.709 243.1  4.53  0.003
## 2170                                -2.848  8 -105.948 243.2  4.65  0.003
## 553             1.037000                    5 -111.848 243.3  4.72  0.003
## 137                                         4 -113.840 243.3  4.79  0.003
## 37                                          4 -113.879 243.4  4.87  0.003
## 577             0.828700                    4 -113.879 243.4  4.87  0.003
## 21                                          4 -113.886 243.4  4.88  0.003
## 34                                          4 -113.893 243.4  4.89  0.003
## 161                                         4 -113.898 243.4  4.91  0.003
## 2561            1.051000            -1.681  4 -113.914 243.5  4.94  0.003
## 13                                          4 -113.928 243.5  4.97  0.003
## 58                                          6 -110.078 243.6  5.09  0.003
## 2107                                -2.553  7 -108.122 243.6  5.09  0.003
## 18                                          4 -113.994 243.6  5.10  0.003
## 2051                                -2.085  4 -114.002 243.7  5.11  0.003
## 3129                     -0.7272000 -2.533  7 -108.142 243.7  5.13  0.003
## 3193                     -0.9562000 -2.907  8 -106.193 243.7  5.14  0.003
## 11                                          4 -114.025 243.7  5.16  0.003
## 42                                          5 -112.084 243.7  5.19  0.002
## 35                                          4 -114.047 243.7  5.20  0.002
## 569             0.852700                    6 -110.141 243.8  5.22  0.002
## 2617            0.622500            -2.254  7 -108.195 243.8  5.23  0.002
## 19                                          4 -114.076 243.8  5.26  0.002
## 10                                          4 -114.078 243.8  5.27  0.002
## 1057                     -0.0879400         4 -114.082 243.8  5.27  0.002
## 289  -0.0153200                             4 -114.085 243.8  5.28  0.002
## 50                                          5 -112.129 243.8  5.28  0.002
## 1041                     -0.0708700         4 -114.096 243.8  5.30  0.002
## 561             0.894100                    5 -112.141 243.8  5.30  0.002
## 273   0.0478400                             4 -114.097 243.8  5.30  0.002
## 1033                     -0.2496000         4 -114.098 243.8  5.30  0.002
## 1089                     -0.2414000         4 -114.111 243.9  5.33  0.002
## 177                                         5 -112.162 243.9  5.34  0.002
## 265   0.0794800                             4 -114.119 243.9  5.35  0.002
## 66                                          4 -114.122 243.9  5.35  0.002
## 67                                          4 -114.122 243.9  5.35  0.002
## 321   0.0115000                             4 -114.133 243.9  5.38  0.002
## 77                                          5 -112.179 243.9  5.38  0.002
## 45                                          5 -112.186 243.9  5.39  0.002
## 169                                         5 -112.202 244.0  5.43  0.002
## 2066                                -2.352  5 -112.213 244.0  5.45  0.002
## 201                                         5 -112.218 244.0  5.46  0.002
## 2050                                -1.899  4 -114.182 244.0  5.47  0.002
## 185                                         6 -110.274 244.0  5.48  0.002
## 43                                          5 -112.243 244.0  5.51  0.002
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## 962   0.0027690 0.734300                    7 -113.481 254.3 15.81  0.000
## 2360  0.1320000                     -2.747  9 -109.569 254.3 15.81  0.000
## 1953 -0.0882700 1.025000 -0.0864600         7 -113.482 254.3 15.81  0.000
## 700             0.776300                    9 -109.571 254.4 15.81  0.000
## 954  -0.0341600 0.772500                    9 -109.573 254.4 15.82  0.000
## 1706            0.970500 -0.2103000         8 -111.536 254.4 15.83  0.000
## 2947  0.0173800 1.060000            -1.872  7 -113.494 254.4 15.83  0.000
## 963  -0.0405100 0.752900                    7 -113.498 254.4 15.84  0.000
## 3843 -0.0408800 1.054000 -0.3366000 -2.067  7 -113.502 254.4 15.85  0.000
## 2870  0.1564000 0.585200            -2.486  9 -109.596 254.4 15.86  0.000
## 938  -0.0355600 0.991500                    8 -111.553 254.4 15.86  0.000
## 3604            0.792300 -0.4860000 -2.628  8 -111.559 254.4 15.87  0.000
## 1802 -0.0232200 1.166000 -0.1749000         7 -113.521 254.4 15.89  0.000
## 812  -0.1164000 1.060000                    8 -111.566 254.4 15.89  0.000
## 1580            1.043000 -0.0735800         8 -111.570 254.4 15.90  0.000
## 2584            0.846600            -2.409  8 -111.578 254.5 15.91  0.000
## 144                                         7 -113.535 254.5 15.91  0.000
## 3714            0.940400 -0.5750000 -1.811  7 -113.535 254.5 15.92  0.000
## 3730            0.689400 -0.6491000 -2.265  8 -111.582 254.5 15.92  0.000
## 1556            1.061000  0.0560300         7 -113.541 254.5 15.93  0.000
## 788  -0.0425800 1.060000                    7 -113.542 254.5 15.93  0.000
## 2694            0.998700            -1.548  7 -113.544 254.5 15.93  0.000
## 1427  0.0368900          -0.1481000         7 -113.553 254.5 15.95  0.000
## 3590            0.981800 -0.4665000 -1.824  7 -113.554 254.5 15.95  0.000
## 687             1.033000                    8 -111.609 254.5 15.97  0.000
## 1827 -0.1453000 1.116000  0.0632400         7 -113.565 254.5 15.98  0.000
## 568             0.864300                    8 -111.612 254.5 15.98  0.000
## 822  -0.1382000 0.864000                    8 -111.612 254.5 15.98  0.000
## 576             0.830000                    9 -109.656 254.5 15.98  0.000
## 1590            0.859800  0.0881700         8 -111.617 254.5 15.99  0.000
## 1810 -0.0017900 1.035000 -0.0125000         7 -113.574 254.5 15.99  0.000
## 830  -0.1154000 0.825600                    9 -109.664 254.5 16.00  0.000
## 2688            0.204800            -2.939 11 -105.752 254.5 16.00  0.000
## 296  -0.1171000                             7 -113.578 254.5 16.00  0.000
## 815  -0.2373000 1.076000                    8 -111.622 254.5 16.00  0.000
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## 1064                      0.0465400         7 -113.582 254.5 16.01  0.000
## 2940  0.1117000 0.196600            -2.986 11 -105.760 254.6 16.01  0.000
## 1166                     -0.2748000         7 -113.590 254.6 16.02  0.000
## 2812            0.206900            -2.971 11 -105.766 254.6 16.03  0.000
## 2432  0.1081000                     -2.979 11 -105.766 254.6 16.03  0.000
## 328  -0.1471000                             7 -113.592 254.6 16.03  0.000
## 1206                     -0.0720500         8 -111.637 254.6 16.03  0.000
## 438  -0.0268500                             8 -111.638 254.6 16.03  0.000
## 184                                         8 -111.639 254.6 16.03  0.000
## 2304                                -2.964 11 -105.772 254.6 16.04  0.000
## 3220                     -0.6275000 -2.537  8 -111.641 254.6 16.04  0.000
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## 1096                     -0.0932800         7 -113.598 254.6 16.04  0.000
## 1583            1.059000  0.0363200         8 -111.645 254.6 16.05  0.000
## 2556  0.1311000                     -3.004 11 -105.778 254.6 16.05  0.000
## 1350 -0.1422000          -0.1677000         7 -113.604 254.6 16.05  0.000
## 2486  0.2196000                     -2.484  9 -109.698 254.6 16.06  0.000
## 1167                     -0.1483000         7 -113.613 254.6 16.07  0.000
## 1395 -0.0976800          -0.1500000         8 -111.659 254.6 16.07  0.000
## 398   0.0562400                             7 -113.617 254.6 16.08  0.000
## 399  -0.0456200                             7 -113.620 254.6 16.08  0.000
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## 1318 -0.0733400          -0.0469100         7 -113.624 254.6 16.09  0.000
## 2822  0.1031000 1.020000            -1.683  7 -113.626 254.6 16.10  0.000
## 3647            0.590800 -0.5902000 -2.678 10 -107.758 254.6 16.10  0.000
## 1811 -0.0690800 1.078000  0.0719700         7 -113.631 254.6 16.11  0.000
## 3080                     -0.4249000 -2.187  7 -113.633 254.6 16.11  0.000
## 3628            0.818800 -0.5744000 -2.411  9 -109.721 254.7 16.11  0.000
## 1220                     -0.3598000         7 -113.634 254.7 16.11  0.000
## 1474 -0.0092740          -0.3576000         7 -113.634 254.7 16.11  0.000
## 2184                                -1.948  7 -113.638 254.7 16.12  0.000
## 2946  0.1878000 0.984100            -1.665  7 -113.640 254.7 16.12  0.000
## 941  -0.1397000 1.012000                    8 -111.686 254.7 16.13  0.000
## 3899 -0.0975000 0.605200 -0.5650000 -2.612 10 -107.774 254.7 16.13  0.000
## 1709            0.991000 -0.1210000         8 -111.689 254.7 16.13  0.000
## 3771            0.600200 -0.5473000 -2.626 10 -107.778 254.7 16.14  0.000
## 3842  0.0989500 0.972400 -0.5358000 -1.966  7 -113.652 254.7 16.15  0.000
## 939  -0.1449000 1.049000                    8 -111.698 254.7 16.15  0.000
## 1188                     -0.1473000         7 -113.654 254.7 16.15  0.000
## 3204                     -0.5494000 -2.166  7 -113.656 254.7 16.16  0.000
## 1707            1.027000 -0.0824100         8 -111.704 254.7 16.16  0.000
## 2710            0.762600            -2.009  8 -111.705 254.7 16.17  0.000
## 420   0.0242200                             7 -113.662 254.7 16.17  0.000
## 1475 -0.0277100          -0.3491000         7 -113.663 254.7 16.17  0.000
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## 1442  0.0212100          -0.1872000         7 -113.667 254.7 16.18  0.000
## 828  -0.0849800 0.844500                    9 -109.756 254.7 16.18  0.000
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## 1214                     -0.1979000         9 -109.762 254.7 16.19  0.000
## 2962  0.2370000 0.738100            -2.100  8 -111.721 254.7 16.20  0.000
## 452   0.0480500                             7 -113.680 254.7 16.21  0.000
## 1164                     -0.2669000         7 -113.682 254.7 16.21  0.000
## 1741            0.621500 -0.3080000         8 -111.727 254.7 16.21  0.000
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## 718             0.654700                    8 -111.730 254.8 16.22  0.000
## 1421 -0.0156800          -0.2606000         7 -113.686 254.8 16.22  0.000
## 192                                         9 -109.778 254.8 16.23  0.000
## 670             0.921500                    8 -111.735 254.8 16.23  0.000
## 446  -0.0168700                             9 -109.779 254.8 16.23  0.000
## 2312  0.0803600                     -2.078  7 -113.692 254.8 16.23  0.000
## 719             0.680500                    8 -111.737 254.8 16.23  0.000
## 423  -0.1224000                             7 -113.699 254.8 16.24  0.000
## 2200                                -2.332  8 -111.744 254.8 16.25  0.000
## 1191                     -0.0031170         7 -113.705 254.8 16.25  0.000
## 1048                      0.0540000         7 -113.706 254.8 16.26  0.000
## 280  -0.0507100                             7 -113.706 254.8 16.26  0.000
## 396   0.0731500                             7 -113.706 254.8 16.26  0.000
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## 1204                     -0.1575000         8 -111.757 254.8 16.27  0.000
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## 3969  0.0516600 0.961500 -0.4989000 -1.681  7 -113.722 254.8 16.29  0.000
## 436   0.0483300                             8 -111.766 254.8 16.29  0.000
## 2452  0.2250000                     -2.409  8 -111.769 254.8 16.29  0.000
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## 272  -0.0650700                             7 -113.741 254.9 16.33  0.000
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## 949  -0.1421000 0.836000                    8 -111.788 254.9 16.33  0.000
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## 176                                         8 -111.793 254.9 16.34  0.000
## 2436  0.1764000                     -2.055  7 -113.749 254.9 16.34  0.000
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## 444   0.0268300                             9 -109.843 254.9 16.35  0.000
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## 1198                     -0.2316000         8 -111.819 254.9 16.39  0.000
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## 430  -0.0207000                             8 -111.841 255.0 16.44  0.000
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## 208                                         8 -111.887 255.1 16.53  0.000
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## 2438  0.2080000                     -1.659  7 -113.916 255.2 16.68  0.000
## 1739            0.662500 -0.3676000         8 -111.961 255.2 16.68  0.000
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## 224                                         9 -110.659 256.5 17.99  0.000
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## 248                                         9 -110.805 256.8 18.28  0.000
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## 1941 -0.0748000 0.939100 -0.0450500         8 -113.104 257.5 18.96  0.000
## 712             0.712500                    8 -113.106 257.5 18.97  0.000
## 1734            0.672400 -0.1818000         8 -113.110 257.5 18.98  0.000
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## 1915 -0.1725000 0.532200 -0.2446000        10 -109.207 257.5 19.00  0.000
## 1779            0.504100 -0.1873000         9 -111.167 257.5 19.00  0.000
## 1678            1.083000 -0.1791000         8 -113.126 257.5 19.01  0.000
## 1576            1.076000  0.1504000         8 -113.126 257.5 19.01  0.000
## 2033 -0.1254000 0.535800 -0.1687000         9 -111.171 257.6 19.01  0.000
## 1011 -0.0798100 0.536700                    9 -111.178 257.6 19.03  0.000
## 1882 -0.0776000 0.651700 -0.2739000         9 -111.179 257.6 19.03  0.000
## 1628            0.655100 -0.2439000         9 -111.180 257.6 19.03  0.000
## 910  -0.0341500 1.101000                    8 -113.138 257.6 19.03  0.000
## 3836            0.052940 -0.9794000 -3.228 12 -105.320 257.6 19.05  0.000
## 3580 -0.0118400          -0.9901000 -3.236 12 -105.322 257.6 19.05  0.000
## 3328                     -0.9870000 -3.235 12 -105.322 257.6 19.05  0.000
## 967  -0.1750000 0.727800                    8 -113.147 257.6 19.05  0.000
## 3964 -0.0182100 0.060900 -0.9766000 -3.252 12 -105.323 257.6 19.05  0.000
## 3712            0.059610 -0.9709000 -3.248 12 -105.323 257.6 19.05  0.000
## 3456 -0.0159600          -0.9829000 -3.258 12 -105.325 257.6 19.06  0.000
## 1735            0.696200 -0.1202000         8 -113.153 257.6 19.06  0.000
## 1989 -0.1707000 0.681300 -0.2003000         8 -113.154 257.6 19.07  0.000
## 860  -0.0461700 0.688800                    9 -111.202 257.6 19.07  0.000
## 3006  0.1950000 0.528100            -2.557 11 -107.293 257.6 19.08  0.000
## 1883 -0.1050000 0.661500 -0.2500000         9 -111.209 257.6 19.09  0.000
## 784  -0.1718000 1.206000                    8 -113.167 257.6 19.09  0.000
## 1552            1.196000  0.0516700         8 -113.177 257.7 19.11  0.000
## 3764            0.550500 -0.5628000 -2.775 10 -109.269 257.7 19.12  0.000
## 1676            1.128000 -0.1415000         8 -113.186 257.7 19.13  0.000
## 1830 -0.1406000 1.049000  0.0208400         8 -113.190 257.7 19.14  0.000
## 908  -0.0355900 1.146000                    8 -113.193 257.7 19.14  0.000
## 887  -0.2312000 0.610800                    9 -111.237 257.7 19.14  0.000
## 1909 -0.2273000 0.603200 -0.0216400         9 -111.238 257.7 19.14  0.000
## 3640            0.573300 -0.5185000 -2.812 10 -109.287 257.7 19.16  0.000
## 1939 -0.0380100 0.954900 -0.0563600         8 -113.203 257.7 19.16  0.000
## 3892  0.0283500 0.567200 -0.5406000 -2.855 10 -109.296 257.7 19.17  0.000
## 2696            1.043000            -1.880  8 -113.210 257.7 19.18  0.000
## 1933 -0.0903000 1.099000 -0.1778000         8 -113.213 257.7 19.18  0.000
## 1655            0.594100  0.0252600         9 -111.259 257.7 19.19  0.000
## 3582  0.0242500          -1.0560000 -3.138 12 -105.392 257.7 19.19  0.000
## 4090  0.0215300 0.008451 -1.0520000 -3.131 12 -105.392 257.7 19.19  0.000
## 3838            0.009748 -1.0580000 -3.134 12 -105.392 257.7 19.19  0.000
## 3592            1.033000 -0.2978000 -2.060  8 -113.216 257.7 19.19  0.000
## 1523 -0.0737200          -0.2673000         9 -111.265 257.7 19.20  0.000
## 1807 -0.1899000 1.216000  0.0385300         8 -113.227 257.8 19.21  0.000
## 3966  0.0198800 0.018070 -1.0470000 -3.171 12 -105.403 257.8 19.21  0.000
## 1931 -0.0844800 1.144000 -0.1295000         8 -113.239 257.8 19.24  0.000
## 932  -0.0720500 1.036000                    8 -113.244 257.8 19.24  0.000
## 1906 -0.0997000 0.631000 -0.0858900         9 -111.288 257.8 19.24  0.000
## 1652            0.613500 -0.0886000         9 -111.289 257.8 19.25  0.000
## 1700            1.026000 -0.0346000         8 -113.245 257.8 19.25  0.000
## 884  -0.0759400 0.630900                    9 -111.290 257.8 19.25  0.000
## 2824 -0.0222100 1.067000            -1.973  8 -113.247 257.8 19.25  0.000
## 1176                     -0.1065000         8 -113.247 257.8 19.25  0.000
## 408   0.0253400                             8 -113.251 257.8 19.26  0.000
## 1430  0.0254200          -0.1323000         8 -113.252 257.8 19.26  0.000
## 935  -0.2196000 1.065000                    8 -113.257 257.8 19.27  0.000
## 1930 -0.0054250 1.088000 -0.2529000         8 -113.264 257.8 19.28  0.000
## 3716            0.996600 -0.4228000 -2.072  8 -113.271 257.8 19.30  0.000
## 1703            1.057000  0.1121000         8 -113.271 257.8 19.30  0.000
## 1560            1.053000  0.1553000         8 -113.273 257.8 19.30  0.000
## 792  -0.1455000 1.052000                    8 -113.274 257.8 19.30  0.000
## 1478 -0.1132000          -0.2687000         8 -113.275 257.8 19.31  0.000
## 1954 -0.0461000 1.002000 -0.1128000         8 -113.275 257.8 19.31  0.000
## 1224                     -0.2284000         8 -113.277 257.9 19.31  0.000
## 2744            0.621200            -2.599 10 -109.380 257.9 19.34  0.000
## 456  -0.0884900                             8 -113.293 257.9 19.34  0.000
## 2872  0.0698400 0.627000            -2.665 10 -109.393 257.9 19.37  0.000
## 4018  0.0902700 0.500200 -0.6473000 -2.627 10 -109.393 257.9 19.37  0.000
## 2996  0.1094000 0.607300            -2.648 10 -109.394 257.9 19.37  0.000
## 3766            0.509200 -0.6496000 -2.601 10 -109.395 257.9 19.37  0.000
## 1372 -0.0396900          -0.3307000         9 -111.351 257.9 19.37  0.000
## 3256                     -0.6177000 -2.822 10 -109.401 257.9 19.38  0.000
## 3508  0.0806900          -0.6223000 -2.847 10 -109.402 257.9 19.38  0.000
## 688             1.010000                    9 -111.361 257.9 19.39  0.000
## 1806 -0.0925800 1.155000 -0.1119000         8 -113.317 257.9 19.39  0.000
## 1479 -0.1454000          -0.2353000         8 -113.323 257.9 19.40  0.000
## 1814 -0.0792300 1.025000  0.0511600         8 -113.324 257.9 19.41  0.000
## 1957 -0.1551000 1.028000 -0.0221600         8 -113.328 258.0 19.41  0.000
## 950  -0.0906700 0.796200                    9 -111.372 258.0 19.41  0.000
## 1831 -0.2334000 1.116000  0.1469000         8 -113.330 258.0 19.42  0.000
## 696             0.793900                    9 -111.374 258.0 19.42  0.000
## 2948  0.0745100 1.038000            -1.980  8 -113.331 258.0 19.42  0.000
## 1718            0.788300 -0.0053200         9 -111.376 258.0 19.42  0.000
## 3844  0.0082750 1.029000 -0.3924000 -2.200  8 -113.334 258.0 19.43  0.000
## 1399 -0.1934000          -0.0742300         9 -111.385 258.0 19.44  0.000
## 3384  0.0592500          -0.5854000 -2.907 10 -109.433 258.0 19.45  0.000
## 816  -0.1951000 1.053000                    9 -111.391 258.0 19.45  0.000
## 840  -0.2120000 0.811900                    8 -113.347 258.0 19.45  0.000
## 3894  0.0740600 0.525800 -0.6179000 -2.688 10 -109.442 258.0 19.47  0.000
## 1584            1.037000  0.0049980         9 -111.407 258.0 19.48  0.000
## 1608            0.794000 -0.0009620         8 -113.365 258.0 19.49  0.000
## 3732            0.738900 -0.5305000 -2.453  9 -111.415 258.0 19.50  0.000
## 3719            1.031000 -0.2696000 -1.848  8 -113.375 258.0 19.51  0.000
## 1710            0.968200 -0.1472000         9 -111.423 258.1 19.52  0.000
## 1863 -0.2342000 0.808100 -0.0271800         8 -113.382 258.1 19.52  0.000
## 1862 -0.1814000 0.768700 -0.1079000         8 -113.384 258.1 19.52  0.000
## 942  -0.0998300 0.988800                    9 -111.428 258.1 19.52  0.000
## 1428  0.0825100          -0.1832000         8 -113.393 258.1 19.54  0.000
## 1396 -0.0493600          -0.1700000         9 -111.438 258.1 19.55  0.000
## 1815 -0.1597000 1.079000  0.1553000         8 -113.397 258.1 19.55  0.000
## 2951 -0.0581000 1.066000            -1.776  8 -113.398 258.1 19.55  0.000
## 1828 -0.1029000 1.094000  0.0332600         8 -113.398 258.1 19.55  0.000
## 1804 -0.0843000 1.214000 -0.0580200         8 -113.405 258.1 19.57  0.000
## 3847 -0.1029000 1.064000 -0.2554000 -1.930  8 -113.406 258.1 19.57  0.000
## 1726            0.756000 -0.1332000        10 -109.503 258.1 19.59  0.000
## 3510  0.1220000          -0.6927000 -2.693 10 -109.504 258.1 19.59  0.000
## 704             0.776700                   10 -109.506 258.1 19.59  0.000
## 958  -0.0789200 0.773700                   10 -109.508 258.1 19.60  0.000
## 2712            0.805200            -2.263  9 -111.473 258.2 19.62  0.000
## 1838 -0.1440000 1.009000 -0.1265000         9 -111.478 258.2 19.62  0.000
## 1955 -0.1259000 1.060000 -0.0083360         8 -113.435 258.2 19.63  0.000
## 1431 -0.0304500          -0.0755200         8 -113.438 258.2 19.63  0.000
## 424  -0.0756000                             8 -113.444 258.2 19.64  0.000
## 1192                     -0.0408200         8 -113.446 258.2 19.65  0.000
## 1708            1.002000 -0.1294000         9 -111.490 258.2 19.65  0.000
## 1732            0.715600 -0.2625000         8 -113.448 258.2 19.65  0.000
## 940  -0.0923600 1.024000                    9 -111.493 258.2 19.66  0.000
## 3971 -0.0329900 1.024000 -0.3600000 -1.947  8 -113.449 258.2 19.66  0.000
## 1986 -0.0496000 0.707500 -0.2931000         8 -113.449 258.2 19.66  0.000
## 2488  0.1437000                     -2.674 10 -109.545 258.2 19.67  0.000
## 1970 -0.0380600 0.789800 -0.0758800         9 -111.502 258.2 19.67  0.000
## 3718            0.946200 -0.4972000 -1.707  8 -113.458 258.2 19.67  0.000
## 1716            0.786400 -0.0707300         9 -111.502 258.2 19.67  0.000
## 1907 -0.1400000 0.629600 -0.0827000         9 -111.503 258.2 19.67  0.000
## 948  -0.0266900 0.796300                    9 -111.504 258.2 19.68  0.000
## 2998  0.1668000 0.566000            -2.410 10 -109.555 258.2 19.69  0.000
## 3608            0.798200 -0.4258000 -2.536  9 -111.512 258.2 19.69  0.000
## 2964  0.1456000 0.787400            -2.338  9 -111.512 258.2 19.69  0.000
## 1978 -0.0674300 0.759400 -0.1886000        10 -109.558 258.2 19.70  0.000
## 1724            0.758700 -0.1674000        10 -109.559 258.2 19.70  0.000
## 1446 -0.0503000          -0.1169000         8 -113.472 258.2 19.70  0.000
## 964  -0.0198700 0.752600                    8 -113.473 258.2 19.70  0.000
## 1987 -0.0787000 0.721800 -0.2598000         8 -113.475 258.2 19.71  0.000
## 956  -0.0466700 0.780800                   10 -109.570 258.3 19.72  0.000
## 1962 -0.0751000 0.975500 -0.2242000         9 -111.533 258.3 19.74  0.000
## 3860  0.0609500 0.787200 -0.4768000 -2.631  9 -111.557 258.3 19.78  0.000
## 1836 -0.1307000 1.053000 -0.0947700         9 -111.563 258.3 19.79  0.000
## 3734            0.694700 -0.6123000 -2.212  9 -111.564 258.3 19.80  0.000
## 1168                     -0.1709000         8 -113.524 258.3 19.81  0.000
## 3986  0.1424000 0.678500 -0.6251000 -2.275  9 -111.573 258.4 19.82  0.000
## 3970  0.1030000 0.932700 -0.5576000 -1.819  8 -113.531 258.4 19.82  0.000
## 2840  0.0686300 0.839800            -2.418  9 -111.576 258.4 19.82  0.000
## 400  -0.0161400                             8 -113.535 258.4 19.83  0.000
## 2950  0.1172000 0.987800            -1.565  8 -113.539 258.4 19.83  0.000
## 1812 -0.0349900 1.064000  0.0503800         8 -113.541 258.4 19.84  0.000
## 943  -0.2162000 1.052000                    9 -111.589 258.4 19.85  0.000
## 3846  0.0412300 0.978700 -0.4603000 -1.828  8 -113.553 258.4 19.86  0.000
## 824  -0.1642000 0.879000                    9 -111.600 258.4 19.87  0.000
## 832  -0.1459000 0.843100                   10 -109.646 258.4 19.87  0.000
## 1592            0.876100  0.1289000         9 -111.605 258.4 19.88  0.000
## 1711            1.032000 -0.0078000         9 -111.609 258.4 19.89  0.000
## 3208                     -0.4608000 -2.064  8 -113.566 258.4 19.89  0.000
## 1846 -0.1269000 0.867900  0.0655800         9 -111.610 258.4 19.89  0.000
## 1600            0.828000 -0.0217700        10 -109.656 258.4 19.89  0.000
## 2944  0.0899900 0.195900            -2.950 12 -105.747 258.4 19.90  0.000
## 1854 -0.1299000 0.820400 -0.0848900        10 -109.660 258.4 19.90  0.000
## 3224                     -0.5841000 -2.484  9 -111.619 258.4 19.91  0.000
## 2816            0.205100            -2.940 12 -105.752 258.4 19.91  0.000
## 1320 -0.1129000           0.0289500         8 -113.578 258.5 19.91  0.000
## 1839 -0.2372000 1.076000  0.0005053         9 -111.622 258.5 19.91  0.000
## 3068  0.1124000 0.195200            -2.980 12 -105.759 258.5 19.92  0.000
## 1352 -0.1648000          -0.1196000         8 -113.587 258.5 19.93  0.000
## 3476  0.1388000          -0.6053000 -2.542  9 -111.633 258.5 19.93  0.000
## 1422  0.0095720          -0.2731000         8 -113.589 258.5 19.94  0.000
## 2560  0.1089000                     -2.974 12 -105.766 258.5 19.94  0.000
## 1462 -0.0403800          -0.0792500         9 -111.636 258.5 19.94  0.000
## 1208                     -0.0788800         9 -111.636 258.5 19.94  0.000
## 440  -0.0261500                             9 -111.638 258.5 19.95  0.000
## 1423 -0.0676700          -0.1585000         8 -113.611 258.5 19.98  0.000
## 3632            0.821300 -0.5429000 -2.366 10 -109.708 258.5 20.00  0.000
## 3903 -0.0730600 0.596700 -0.6001000 -2.673 11 -107.756 258.5 20.00  0.000
## 3756            0.828400 -0.5653000 -2.460 10 -109.712 258.5 20.01  0.000
## 3775            0.591400 -0.5895000 -2.681 11 -107.758 258.5 20.01  0.000
## 3884 -0.0524800 0.822900 -0.5824000 -2.409 10 -109.720 258.6 20.02  0.000
## 3336  0.0276300          -0.4210000 -2.189  8 -113.633 258.6 20.02  0.000
## 1965 -0.1645000 1.002000 -0.1497000         9 -111.677 258.6 20.02  0.000
## 1476 -0.0077690          -0.3611000         8 -113.634 258.6 20.03  0.000
## 2440  0.0979600                     -1.957  8 -113.635 258.6 20.03  0.000
## 4027 -0.0985800 0.607900 -0.5629000 -2.624 11 -107.774 258.6 20.04  0.000
## 2966  0.1978000 0.743500            -2.039  9 -111.688 258.6 20.05  0.000
## 1742            0.622400 -0.3167000         9 -111.689 258.6 20.05  0.000
## 1963 -0.1610000 1.039000 -0.1084000         9 -111.693 258.6 20.06  0.000
## 3460  0.1002000          -0.5333000 -2.169  8 -113.652 258.6 20.06  0.000
## 1444  0.0018330          -0.1470000         8 -113.654 258.6 20.07  0.000
## 672             0.944900                    9 -111.700 258.6 20.07  0.000
## 720             0.681300                    9 -111.703 258.6 20.08  0.000
## 1852 -0.0997700 0.836600 -0.0980000        10 -109.752 258.6 20.09  0.000
## 3973  0.0053960 0.971000 -0.4374000 -1.583  8 -113.666 258.6 20.09  0.000
## 1743            0.647200 -0.2560000         9 -111.712 258.6 20.09  0.000
## 1997 -0.1749000 0.631400 -0.3392000         9 -111.714 258.6 20.10  0.000
## 1470 -0.0521800          -0.2073000        10 -109.760 258.6 20.10  0.000
## 1216                     -0.1992000        10 -109.762 258.6 20.10  0.000
## 1694            0.907100 -0.1699000         9 -111.723 258.7 20.11  0.000
## 3624            0.875600 -0.3582000 -2.227  9 -111.725 258.7 20.12  0.000
## 974  -0.1006000 0.662200                    9 -111.725 258.7 20.12  0.000
## 975  -0.1623000 0.695400                    9 -111.726 258.7 20.12  0.000
## 1420  0.0331600          -0.2614000         8 -113.682 258.7 20.12  0.000
## 2456  0.1806000                     -2.350  9 -111.731 258.7 20.13  0.000
## 448  -0.0241100                            10 -109.778 258.7 20.14  0.000
## 926  -0.0092680 0.922300                    9 -111.735 258.7 20.14  0.000
## 1447 -0.1254000          -0.0220200         8 -113.699 258.7 20.15  0.000
## 1304 -0.0438400           0.0471700         8 -113.705 258.7 20.17  0.000
## 3478  0.1742000          -0.6695000 -2.328  9 -111.751 258.7 20.17  0.000
## 3862  0.1030000 0.741500 -0.5523000 -2.367  9 -111.752 258.7 20.17  0.000
## 1460  0.0249700          -0.1534000         9 -111.757 258.7 20.18  0.000
## 2736            0.893600            -2.276 10 -109.805 258.7 20.19  0.000
## 3735            0.793500 -0.3950000 -2.217  9 -111.764 258.7 20.20  0.000
## 3070  0.1637000 0.142100            -2.783 12 -105.902 258.7 20.21  0.000
## 2856 -0.0337300 0.918100            -2.120  9 -111.771 258.8 20.21  0.000
## 2728            0.914300            -2.121  9 -111.772 258.8 20.21  0.000
## 1468 -0.0119000          -0.2536000        10 -109.816 258.8 20.21  0.000
## 3352  0.0885800          -0.5160000 -2.660  9 -111.772 258.8 20.21  0.000
## 3656            0.512200 -0.5784000 -2.397  9 -111.778 258.8 20.23  0.000
## 3987  0.0033790 0.786700 -0.4314000 -2.263  9 -111.779 258.8 20.23  0.000
## 951  -0.1667000 0.851100                    9 -111.779 258.8 20.23  0.000
## 2864 -0.0097090 0.882400            -2.208 10 -109.824 258.8 20.23  0.000
## 1296 -0.0760700          -0.0757900         8 -113.739 258.8 20.23  0.000
## 1200                     -0.1577000         9 -111.783 258.8 20.24  0.000
## 1973 -0.1417000 0.836200  0.0024400         9 -111.788 258.8 20.25  0.000
## 1719            0.841900  0.0633400         9 -111.789 258.8 20.25  0.000
## 432  -0.0745500                             9 -111.791 258.8 20.25  0.000
## 1692            0.927900 -0.1761000         9 -111.793 258.8 20.25  0.000
## 3748            0.864400 -0.4381000 -2.305  9 -111.794 258.8 20.26  0.000
## 2988  0.0197800 0.891700            -2.328 10 -109.841 258.8 20.26  0.000
## 3876 -0.0263900 0.872800 -0.4357000 -2.334  9 -111.797 258.8 20.26  0.000
## 924   0.0103400 0.945400                    9 -111.805 258.8 20.28  0.000
## 3272                     -0.6934000 -2.354  9 -111.805 258.8 20.28  0.000
## 1844 -0.0721700 0.884800  0.0330100         9 -111.808 258.8 20.28  0.000
## 1946  0.0080800 0.906400 -0.2240000         9 -111.809 258.8 20.29  0.000
## 3007 -0.0050810 0.662400            -2.525 11 -107.905 258.8 20.30  0.000
## 1454 -0.0620400          -0.2427000         9 -111.817 258.8 20.30  0.000
## 2967  0.0242100 0.837600            -2.118  9 -111.821 258.8 20.31  0.000
## 3463 -0.0051590          -0.4017000 -1.943  8 -113.785 258.9 20.33  0.000
## 1486 -0.1244000          -0.4018000         9 -111.836 258.9 20.34  0.000
## 3519 -0.0238000          -0.6725000 -2.753 11 -107.924 258.9 20.34  0.000
## 1232                     -0.3547000         9 -111.839 258.9 20.35  0.000
## 3462  0.1248000          -0.5885000 -1.831  8 -113.798 258.9 20.35  0.000
## 927  -0.0997200 0.972100                    9 -111.848 258.9 20.36  0.000
## 1695            0.955200 -0.0703500         9 -111.850 258.9 20.37  0.000
## 3782            0.415600 -0.7399000 -2.133  9 -111.851 258.9 20.37  0.000
## 2760            0.568500            -2.119  9 -111.852 258.9 20.37  0.000
## 1328 -0.1200000          -0.1152000         9 -111.855 258.9 20.38  0.000
## 3783            0.488000 -0.5729000 -2.198  9 -111.864 258.9 20.40  0.000
## 3863 -0.0424500 0.842500 -0.3521000 -2.348  9 -111.864 258.9 20.40  0.000
## 2980  0.0350600 0.911300            -2.206  9 -111.865 258.9 20.40  0.000
## 1487 -0.1540000          -0.3671000         9 -111.865 258.9 20.40  0.000
## 3600            1.011000 -0.4433000 -2.152  9 -111.870 258.9 20.41  0.000
## 1971 -0.1027000 0.840500 -0.0235500         9 -111.872 259.0 20.41  0.000
## 4029 -0.0004697 0.538500 -0.7173000 -2.497 11 -107.962 259.0 20.42  0.000
## 1860 -0.0928400 0.848800 -0.1345000         8 -113.834 259.0 20.42  0.000
## 3400 -0.0595800          -0.6652000 -2.475  9 -111.878 259.0 20.43  0.000
## 3740            0.729600 -0.6342000 -2.545 10 -109.926 259.0 20.43  0.000
## 3780            0.479000 -0.7275000 -2.416  9 -111.883 259.0 20.44  0.000
## 464  -0.0839900                             9 -111.884 259.0 20.44  0.000
## 1949 -0.0716000 0.929400 -0.1603000         9 -111.884 259.0 20.44  0.000
## 959  -0.1621000 0.832700                   10 -109.929 259.0 20.44  0.000
## 848  -0.1958000 0.766900                    9 -111.889 259.0 20.45  0.000
## 1727            0.811200 -0.0604100        10 -109.939 259.0 20.46  0.000
## 1981 -0.1509000 0.804200 -0.1276000        10 -109.940 259.0 20.46  0.000
## 1616            0.733000 -0.1511000         9 -111.896 259.0 20.46  0.000
## 3724            0.987600 -0.5261000 -2.164  9 -111.897 259.0 20.46  0.000
## 2888 -0.0277600 0.596300            -2.219  9 -111.897 259.0 20.46  0.000
## 1871 -0.2349000 0.747200 -0.1803000         9 -111.898 259.0 20.46  0.000
## 1452 -0.0348300          -0.2457000         9 -111.908 259.0 20.49  0.000
## 3911 -0.1343000 0.530400 -0.5562000 -2.293  9 -111.911 259.0 20.49  0.000
## 1870 -0.1864000 0.708300 -0.2583000         9 -111.915 259.0 20.50  0.000
## 1344 -0.0880400          -0.1168000        10 -109.960 259.0 20.50  0.000
## 3526  0.0080620          -0.7966000 -2.202  9 -111.918 259.0 20.51  0.000
## 1979 -0.1379000 0.816000 -0.1251000        10 -109.963 259.0 20.51  0.000
## 1336 -0.0816900           0.0315800         9 -111.921 259.1 20.51  0.000
## 1947 -0.0570800 0.952700 -0.1464000         9 -111.922 259.1 20.51  0.000
## 3852 -0.0088230 1.009000 -0.5102000 -2.244  9 -111.924 259.1 20.52  0.000
## 2704            1.046000            -1.970  9 -111.928 259.1 20.53  0.000
## 2832 -0.0003853 1.059000            -2.025  9 -111.941 259.1 20.55  0.000
## 1740            0.662500 -0.3790000         9 -111.943 259.1 20.55  0.000
## 1994 -0.0737300 0.652300 -0.4208000         9 -111.945 259.1 20.56  0.000
## 3989  0.0548500 0.735800 -0.5210000 -2.029  9 -111.951 259.1 20.57  0.000
## 3527 -0.0841300          -0.6627000 -2.260  9 -111.953 259.1 20.57  0.000
## 3910 -0.0293200 0.453100 -0.7137000 -2.247  9 -111.954 259.1 20.58  0.000
## 1995 -0.1011000 0.670100 -0.3841000         9 -111.956 259.1 20.58  0.000
## 3616            0.771700 -0.5768000 -2.638 10 -110.001 259.1 20.58  0.000
## 3248                     -0.6390000 -2.507 10 -110.005 259.1 20.59  0.000
## 4091 -0.1058000 0.111400 -0.8859000 -2.968 12 -106.094 259.1 20.59  0.000
## 3967 -0.1027000 0.114400 -0.8888000 -2.992 12 -106.095 259.1 20.59  0.000
## 1847 -0.2004000 0.928800  0.1392000         9 -111.963 259.1 20.59  0.000
## 3664            0.431100 -0.7712000 -2.536 10 -110.008 259.1 20.60  0.000
## 3696            0.309400 -0.8330000 -2.698 11 -108.053 259.1 20.60  0.000
## 3868  0.0440900 0.765300 -0.5964000 -2.679 10 -110.009 259.1 20.60  0.000
## 3376 -0.0065520          -0.6480000 -2.473 10 -110.010 259.1 20.60  0.000
## 3839            0.102100 -0.8795000 -2.984 12 -106.099 259.1 20.60  0.000
## 3583 -0.0924100          -0.9099000 -2.996 12 -106.099 259.1 20.60  0.000
## 3524  0.0343800          -0.7986000 -2.482  9 -111.970 259.1 20.61  0.000
## 3500  0.0096190          -0.6697000 -2.546 10 -110.017 259.2 20.62  0.000
## 3908 -0.0127200 0.523200 -0.6925000 -2.562  9 -111.975 259.2 20.62  0.000
## 3886  0.0145300 0.770600 -0.6920000 -2.160 10 -110.019 259.2 20.62  0.000
## 3758            0.772300 -0.6936000 -2.162 10 -110.019 259.2 20.62  0.000
## 2504  0.0426800                     -2.176  9 -111.978 259.2 20.62  0.000
## 3750            0.816700 -0.5157000 -1.982  9 -111.979 259.2 20.63  0.000
## 3015 -0.0518900 0.577300            -2.041  9 -111.979 259.2 20.63  0.000
## 1750            0.557200 -0.1606000         9 -111.980 259.2 20.63  0.000
## 4010  0.0296100 0.767700 -0.7134000 -2.198 10 -110.027 259.2 20.64  0.000
## 982  -0.0859300 0.579700                    9 -111.987 259.2 20.64  0.000
## 728             0.573500                    9 -111.990 259.2 20.65  0.000
## 3878  0.0083960 0.826900 -0.5038000 -2.029  9 -111.992 259.2 20.65  0.000
## 972  -0.0295900 0.716400                    9 -111.997 259.2 20.66  0.000
## 2956  0.0680100 1.041000            -2.046  9 -111.998 259.2 20.66  0.000
## 4037 -0.0577800 0.429500 -0.7056000 -2.035  9 -111.999 259.2 20.67  0.000
## 1855 -0.2032000 0.881100 -0.0117900        10 -110.043 259.2 20.67  0.000
## 4034  0.0529400 0.416800 -0.8296000 -2.267  9 -112.001 259.2 20.67  0.000
## 3440 -0.0880400          -0.8945000 -2.745 11 -108.092 259.2 20.68  0.000
## 3280                     -0.8616000 -2.520 10 -110.048 259.2 20.68  0.000
## 4035 -0.0426200 0.492000 -0.6858000 -2.323  9 -112.005 259.2 20.68  0.000
## 3312                     -0.8760000 -2.772 11 -108.093 259.2 20.68  0.000
## 800  -0.1278000 1.046000                    9 -112.006 259.2 20.68  0.000
## 3948 -0.0727100 0.316500 -0.8973000 -2.772 11 -108.096 259.2 20.68  0.000
## 3820            0.315700 -0.8818000 -2.795 11 -108.097 259.2 20.69  0.000
## 1568            1.038000  0.0342800         9 -112.012 259.2 20.69  0.000
## 3288                     -0.7856000 -2.714 10 -110.063 259.2 20.71  0.000
## 3479  0.0467000          -0.4938000 -2.309  9 -112.020 259.2 20.71  0.000
## 2720            0.806900            -2.356 10 -110.070 259.3 20.72  0.000
## 3788            0.408700 -0.8785000 -2.559 10 -110.073 259.3 20.73  0.000
## 4002  0.0538200 0.807000 -0.5693000 -2.072  9 -112.031 259.3 20.73  0.000
## 2972  0.1391000 0.791000            -2.403 10 -110.078 259.3 20.74  0.000
## 3240                     -0.4760000 -2.309  9 -112.037 259.3 20.74  0.000
## 3727            1.017000 -0.4075000 -1.982  9 -112.037 259.3 20.74  0.000
## 3408 -0.0635900          -0.8477000 -2.602 10 -110.083 259.3 20.75  0.000
## 3368 -0.0052060          -0.4682000 -2.340  9 -112.041 259.3 20.75  0.000
## 1455 -0.1399000          -0.1421000         9 -112.043 259.3 20.75  0.000
## 4019 -0.0637700 0.646400 -0.4290000 -2.465 10 -110.090 259.3 20.76  0.000
## 4093 -0.0563600 0.059370 -0.9743000 -2.877 12 -106.179 259.3 20.76  0.000
## 3767            0.642700 -0.4123000 -2.458 10 -110.091 259.3 20.76  0.000
## 3855 -0.0947000 1.039000 -0.4044000 -2.030  9 -112.047 259.3 20.76  0.000
## 3014  0.0818400 0.506600            -1.893  9 -112.050 259.3 20.77  0.000
## 3564 -0.0514500          -0.9415000 -2.839 11 -108.140 259.3 20.77  0.000
## 1184                     -0.2088000         9 -112.054 259.3 20.78  0.000
## 3796            0.264200 -0.8120000 -2.759 10 -110.102 259.3 20.78  0.000
## 3798            0.221800 -0.8285000 -2.572 10 -110.103 259.3 20.79  0.000
## 3791            0.417700 -0.7573000 -2.384 10 -110.105 259.3 20.79  0.000
## 3895 -0.0781500 0.664700 -0.4040000 -2.509 10 -110.105 259.3 20.79  0.000
## 1438  0.0251300          -0.2444000         9 -112.064 259.3 20.80  0.000
## 3979 -0.0512100 1.016000 -0.4701000 -2.045  9 -112.067 259.3 20.80  0.000
## 416   0.0342700                             9 -112.070 259.3 20.81  0.000
## 3012  0.0947800 0.579800            -2.240  9 -112.071 259.3 20.81  0.000
## 3916 -0.0344200 0.439100 -0.8611000 -2.656 10 -110.116 259.4 20.81  0.000
## 1822 -0.0752900 1.008000 -0.0748100         9 -112.073 259.4 20.82  0.000
## 1463 -0.0935100          -0.0437400         9 -112.075 259.4 20.82  0.000
## 2982  0.0813100 0.864000            -1.827  9 -112.075 259.4 20.82  0.000
## 3296                     -0.9546000 -2.881 11 -108.163 259.4 20.82  0.000
## 3919 -0.1286000 0.447500 -0.7539000 -2.443 10 -110.121 259.4 20.82  0.000
## 3542  0.0646300          -0.8497000 -2.617 10 -110.122 259.4 20.82  0.000
## 3804            0.195000 -0.9621000 -2.900 11 -108.169 259.4 20.83  0.000
## 2848  0.0921100 0.828200            -2.476 10 -110.127 259.4 20.83  0.000
## 3540  0.0759900          -0.8425000 -2.801 10 -110.127 259.4 20.84  0.000
## 2005 -0.1467000 0.568000 -0.1707000         9 -112.085 259.4 20.84  0.000
## 1751            0.557100 -0.1491000         9 -112.094 259.4 20.86  0.000
## 1360 -0.1737000          -0.2657000         9 -112.094 259.4 20.86  0.000
## 1240                     -0.2463000         9 -112.095 259.4 20.86  0.000
## 983  -0.1245000 0.588200                    9 -112.096 259.4 20.86  0.000
## 3994  0.1301000 0.664300 -0.7434000 -2.342 10 -110.140 259.4 20.86  0.000
## 3548  0.0452500          -0.9867000 -2.931 11 -108.184 259.4 20.86  0.000
## 2959 -0.0390600 1.067000            -1.876  9 -112.096 259.4 20.86  0.000
## 1494 -0.0853600          -0.2304000         9 -112.098 259.4 20.87  0.000
## 3532  0.0037240          -0.9442000 -2.615 10 -110.142 259.4 20.87  0.000
## 3492  0.0456000          -0.5405000 -2.395  9 -112.099 259.4 20.87  0.000
## 3790            0.342800 -0.9260000 -2.295 10 -110.146 259.4 20.87  0.000
## 3742            0.675100 -0.7594000 -2.324 10 -110.147 259.4 20.88  0.000
## 3484  0.1175000          -0.7113000 -2.633 10 -110.153 259.4 20.89  0.000
## 1484 -0.0388800          -0.4766000         9 -112.111 259.4 20.89  0.000
## 2999 -0.0208900 0.693700            -2.350 10 -110.157 259.4 20.89  0.000
## 3232                     -0.7188000 -2.615 10 -110.158 259.4 20.90  0.000
## 4050  0.0936800 0.214100 -0.8738000 -2.665 10 -110.159 259.4 20.90  0.000
## 3320                     -0.7858000 -2.983 11 -108.203 259.4 20.90  0.000
## 472  -0.0366800                             9 -112.118 259.4 20.90  0.000
## 2472  0.0569000                     -2.194  9 -112.118 259.4 20.91  0.000
## 2480  0.0673900                     -2.349 10 -110.162 259.4 20.91  0.000
## 1823 -0.1558000 1.062000  0.0317000         9 -112.120 259.4 20.91  0.000
## 3950 -0.0517300 0.258100 -0.9554000 -2.567 11 -108.208 259.4 20.91  0.000
## 3822            0.254100 -0.9480000 -2.569 11 -108.209 259.4 20.91  0.000
## 3535 -0.0886100          -0.8378000 -2.437 10 -110.173 259.5 20.93  0.000
## 3828            0.155200 -0.8035000 -3.014 11 -108.220 259.5 20.93  0.000
## 4043 -0.0640700 0.421900 -0.8458000 -2.474 10 -110.180 259.5 20.94  0.000
## 3672            0.326200 -0.6801000 -2.823 10 -110.182 259.5 20.95  0.000
## 3572  0.0324900          -0.8233000 -3.039 11 -108.230 259.5 20.95  0.000
## 3704            0.184800 -0.7301000 -3.037 11 -108.231 259.5 20.96  0.000
## 1436  0.0602300          -0.2699000         9 -112.143 259.5 20.96  0.000
## 4011 -0.1303000 0.889800 -0.4808000 -2.245 10 -110.190 259.5 20.96  0.000
## 3759            0.882600 -0.4384000 -2.221 10 -110.192 259.5 20.96  0.000
## 3566 -0.0353800          -0.9900000 -2.610 11 -108.237 259.5 20.97  0.000
## 3806            0.146800 -1.0170000 -2.738 11 -108.238 259.5 20.97  0.000
## 3534  0.0043680          -0.9742000 -2.352 10 -110.195 259.5 20.97  0.000
## 3887 -0.1383000 0.881200 -0.4721000 -2.158 10 -110.197 259.5 20.98  0.000
## 3680            0.241600 -0.8767000 -2.969 11 -108.242 259.5 20.98  0.000
## 3830            0.119500 -0.8321000 -2.875 11 -108.244 259.5 20.98  0.000
## 3550  0.0611900          -1.0280000 -2.770 11 -108.245 259.5 20.98  0.000
## 3448 -0.0095460          -0.7604000 -3.070 11 -108.246 259.5 20.99  0.000
## 4074 -0.0176100 0.255800 -1.0000000 -2.634 11 -108.248 259.5 20.99  0.000
## 2990  0.1057000 0.836900            -1.951 10 -110.206 259.5 20.99  0.000
## 3574  0.0342300          -0.8436000 -2.901 11 -108.250 259.5 20.99  0.000
## 3918 -0.0256000 0.370300 -0.9091000 -2.381 10 -110.208 259.5 21.00  0.000
## 4058  0.0738800 0.140500 -1.0370000 -2.789 11 -108.252 259.5 21.00  0.000
## 3879 -0.1405000 0.934900 -0.2894000 -2.021  9 -112.165 259.5 21.00  0.000
## 3751            0.922300 -0.2725000 -2.022  9 -112.173 259.6 21.02  0.000
## 2768            0.527400            -2.241 10 -110.218 259.6 21.02  0.000
## 4082  0.0526600 0.114400 -0.8601000 -2.934 11 -108.266 259.6 21.03  0.000
## 998  -0.1591000 0.662800                    9 -112.178 259.6 21.03  0.000
## 1471 -0.1076000          -0.1670000        10 -110.223 259.6 21.03  0.000
## 3424  0.0006117          -0.9151000 -3.013 11 -108.268 259.6 21.03  0.000
## 3956  0.0115000 0.183200 -0.7758000 -3.114 11 -108.269 259.6 21.03  0.000
## 744             0.665200                    9 -112.182 259.6 21.03  0.000
## 3416  0.0040480          -0.7304000 -2.881 10 -110.226 259.6 21.03  0.000
## 1766            0.638300 -0.1280000         9 -112.182 259.6 21.03  0.000
## 4042  0.0331800 0.342700 -0.9938000 -2.392 10 -110.227 259.6 21.04  0.000
## 1820 -0.0531200 1.048000 -0.0568500         9 -112.188 259.6 21.05  0.000
## 2896 -0.0042990 0.541900            -2.300 10 -110.234 259.6 21.05  0.000
## 3932  0.0171300 0.240300 -0.9231000 -3.044 11 -108.279 259.6 21.05  0.000
## 2983 -0.1057000 0.962800            -1.946  9 -112.195 259.6 21.06  0.000
## 2776            0.381400            -2.461 10 -110.242 259.6 21.06  0.000
## 3726            0.930300 -0.6399000 -1.811  9 -112.199 259.6 21.07  0.000
## 904  -0.1333000 1.140000                    8 -114.155 259.6 21.07  0.000
## 4021 -0.0028730 0.594400 -0.5300000 -2.293 10 -110.244 259.6 21.07  0.000
## 1672            1.134000  0.0574800         8 -114.161 259.6 21.08  0.000
## 1495 -0.1064000          -0.2400000         9 -112.208 259.6 21.08  0.000
## 1774            0.573300 -0.2715000        10 -110.253 259.6 21.09  0.000
## 4003 -0.0955600 0.921600 -0.3515000 -2.097  9 -112.214 259.6 21.10  0.000
## 3958  0.0172800 0.143200 -0.8069000 -2.960 11 -108.303 259.6 21.10  0.000
## 3360  0.0932000          -0.6638000 -2.759 10 -110.260 259.6 21.10  0.000
## 2991 -0.0929700 0.940800            -2.103 10 -110.262 259.6 21.11  0.000
## 1439 -0.0321600          -0.1823000         9 -112.222 259.7 21.11  0.000
## 3511 -0.0152000          -0.4999000 -2.535 10 -110.270 259.7 21.12  0.000
## 3978  0.0906900 0.919700 -0.6748000 -1.883  9 -112.227 259.7 21.12  0.000
## 752             0.618900                   10 -110.272 259.7 21.12  0.000
## 1748            0.561400 -0.2782000         9 -112.228 259.7 21.13  0.000
## 4045 -0.0525900 0.354700 -0.8971000 -2.208 10 -110.272 259.7 21.13  0.000
## 1006 -0.1522000 0.612100                   10 -110.274 259.7 21.13  0.000
## 2002 -0.0307400 0.581600 -0.2513000         9 -112.234 259.7 21.14  0.000
## 3502  0.0723400          -0.7741000 -2.269 10 -110.281 259.7 21.14  0.000
## 2800            0.440200            -2.495 11 -108.325 259.7 21.14  0.000
## 3924  0.0387600 0.325100 -0.7540000 -2.949 10 -110.282 259.7 21.14  0.000
## 3870  0.1143000 0.711700 -0.7080000 -2.460 10 -110.284 259.7 21.15  0.000
## 3995 -0.0147900 0.777000 -0.5423000 -2.363 10 -110.285 259.7 21.15  0.000
## 3743            0.776400 -0.5370000 -2.359 10 -110.285 259.7 21.15  0.000
## 2928 -0.0125000 0.430900            -2.441 11 -108.337 259.7 21.17  0.000
## 3494  0.0743800          -0.5999000 -2.093  9 -112.249 259.7 21.17  0.000
## 2520  0.1237000                     -2.514 10 -110.295 259.7 21.17  0.000
## 1868 -0.1165000 0.779600 -0.2767000         9 -112.253 259.7 21.17  0.000
## 3926  0.0337100 0.272300 -0.7801000 -2.718 10 -110.299 259.7 21.18  0.000
## 3216                     -0.5924000 -2.189  9 -112.256 259.7 21.18  0.000
## 980   0.0229700 0.596500                    9 -112.257 259.7 21.18  0.000
## 3854  0.0510800 0.954000 -0.6104000 -1.908  9 -112.259 259.7 21.19  0.000
## 3023 -0.0304400 0.533300            -2.175 10 -110.321 259.8 21.22  0.000
## 1902 -0.2221000 0.629000 -0.2542000        10 -110.327 259.8 21.24  0.000
## 880  -0.2146000 0.675700                   10 -110.329 259.8 21.24  0.000
## 1926 -0.0656900 1.095000 -0.0788400         8 -114.244 259.8 21.24  0.000
## 3486  0.1810000          -0.8138000 -2.439 10 -110.332 259.8 21.25  0.000
## 3799            0.292700 -0.6751000 -2.529 10 -110.332 259.8 21.25  0.000
## 2512  0.0546000                     -2.295 10 -110.333 259.8 21.25  0.000
## 3934  0.0383600 0.185900 -0.9790000 -2.860 11 -108.377 259.8 21.25  0.000
## 3344  0.0312200          -0.5643000 -2.278  9 -112.291 259.8 21.25  0.000
## 1927 -0.1581000 1.159000  0.0613500         8 -114.249 259.8 21.25  0.000
## 1648            0.637900 -0.1715000        10 -110.337 259.8 21.25  0.000
## 3468  0.0787800          -0.6392000 -2.260  9 -112.294 259.8 21.26  0.000
## 2464  0.1962000                     -2.445 10 -110.341 259.8 21.26  0.000
## 3028  0.1611000 0.373400            -2.562 10 -110.345 259.8 21.27  0.000
## 3871 -0.0328200 0.813100 -0.5066000 -2.460 10 -110.345 259.8 21.27  0.000
## 872  -0.2297000 0.741100                    9 -112.305 259.8 21.28  0.000
## 3071  0.0010680 0.237000            -2.737 12 -106.439 259.8 21.28  0.000
## 2974  0.2245000 0.737700            -2.105 10 -110.353 259.8 21.29  0.000
## 2904  0.0579400 0.419100            -2.618 10 -110.356 259.8 21.29  0.000
## 2003 -0.0518400 0.570200 -0.2605000         9 -112.313 259.8 21.29  0.000
## 3030  0.1599000 0.320100            -2.307 10 -110.361 259.8 21.30  0.000
## 999  -0.2222000 0.687400                    9 -112.322 259.9 21.31  0.000
## 3543 -0.0303200          -0.7271000 -2.571 10 -110.366 259.9 21.31  0.000
## 1894 -0.2106000 0.709800 -0.0858600         9 -112.323 259.9 21.31  0.000
## 3020  0.0898100 0.534200            -2.341 10 -110.368 259.9 21.32  0.000
## 2544  0.0197600                     -2.540 11 -108.412 259.9 21.32  0.000
## 1640            0.721900  0.0002468         9 -112.327 259.9 21.32  0.000
## 2021 -0.2182000 0.651800 -0.1506000         9 -112.327 259.9 21.32  0.000
## 1510 -0.1513000          -0.2178000         9 -112.331 259.9 21.33  0.000
## 3807            0.219600 -0.8624000 -2.720 11 -108.420 259.9 21.33  0.000
## 3052  0.0429800 0.446600            -2.573 11 -108.420 259.9 21.33  0.000
## 1518 -0.1724000          -0.3600000        10 -110.378 259.9 21.34  0.000
## 3951 -0.1665000 0.342900 -0.7918000 -2.532 11 -108.423 259.9 21.34  0.000
## 4051 -0.0072790 0.289200 -0.7389000 -2.608 10 -110.382 259.9 21.34  0.000
## 2808            0.275000            -2.741 11 -108.427 259.9 21.35  0.000
## 1767            0.657500 -0.0760900         9 -112.340 259.9 21.35  0.000
## 2958  0.1427000 0.984700            -1.625  9 -112.340 259.9 21.35  0.000
## 1256                     -0.1861000         9 -112.341 259.9 21.35  0.000
## 3823            0.338900 -0.7594000 -2.574 11 -108.431 259.9 21.36  0.000
## 4059 -0.0287500 0.219400 -0.8987000 -2.759 11 -108.432 259.9 21.36  0.000
## 2029 -0.2343000 0.587300 -0.2984000        10 -110.390 259.9 21.36  0.000
## 1264                     -0.3223000        10 -110.391 259.9 21.36  0.000
## 488  -0.1257000                             9 -112.347 259.9 21.36  0.000
## 1492  0.0234200          -0.3505000         9 -112.347 259.9 21.36  0.000
## 2975  0.0443800 0.835200            -2.223 10 -110.394 259.9 21.37  0.000
## 3551 -0.0344500          -0.9037000 -2.752 11 -108.440 259.9 21.37  0.000
## 2936  0.0606500 0.285600            -2.815 11 -108.448 259.9 21.39  0.000
## 1007 -0.2189000 0.640500                   10 -110.405 259.9 21.39  0.000
## 4053 -0.0073220 0.245300 -0.7661000 -2.422 10 -110.406 259.9 21.39  0.000
## 1775            0.592000 -0.2215000        10 -110.407 259.9 21.39  0.000
## 4075 -0.1365000 0.347900 -0.8286000 -2.629 11 -108.453 259.9 21.40  0.000
## 2552  0.0992700                     -2.781 11 -108.456 259.9 21.40  0.000
## 2448  0.1129000                     -2.049  9 -112.377 260.0 21.42  0.000
## 496  -0.1286000                            10 -110.425 260.0 21.43  0.000
## 3567 -0.1460000          -0.8356000 -2.616 11 -108.472 260.0 21.44  0.000
## 1800 -0.1685000 1.222000  0.1462000         8 -114.347 260.0 21.45  0.000
## 3981  0.0156100 0.952700 -0.5836000 -1.697  9 -112.392 260.0 21.45  0.000
## 3060  0.1253000 0.266800            -2.817 11 -108.482 260.0 21.46  0.000
## 2784            0.340000            -2.583 11 -108.489 260.0 21.47  0.000
## 1903 -0.2749000 0.657600 -0.1966000        10 -110.452 260.0 21.49  0.000
## 3935 -0.0685300 0.264400 -0.8325000 -2.828 11 -108.497 260.0 21.49  0.000
## 856  -0.1702000 0.701900                    9 -112.410 260.0 21.49  0.000
## 3927 -0.0754700 0.351800 -0.6305000 -2.669 10 -110.456 260.0 21.49  0.000
## 2026 -0.1290000 0.602500 -0.3745000        10 -110.459 260.0 21.50  0.000
## 1878 -0.1572000 0.679700 -0.0608400         9 -112.418 260.0 21.51  0.000
## 1772            0.600100 -0.3405000        10 -110.465 260.1 21.51  0.000
## 1624            0.687200 -0.0003344         9 -112.422 260.1 21.51  0.000
## 4061 -0.0014340 0.167300 -0.9606000 -2.602 11 -108.517 260.1 21.53  0.000
## 3022  0.1069000 0.458100            -1.991 10 -110.474 260.1 21.53  0.000
## 1924 -0.0351500 1.134000 -0.0632800         8 -114.395 260.1 21.55  0.000
## 4005 -0.0497500 0.868900 -0.4375000 -1.773  9 -112.439 260.1 21.55  0.000
## 3062  0.1372000 0.220500            -2.606 11 -108.528 260.1 21.55  0.000
## 2528  0.1357000                     -2.633 11 -108.532 260.1 21.56  0.000
## 1392 -0.2023000          -0.2796000        10 -110.488 260.1 21.56  0.000
## 1895 -0.2671000 0.741400 -0.0223900         9 -112.446 260.1 21.56  0.000
## 1312 -0.0441200          -0.0730300         9 -112.453 260.1 21.58  0.000
## 3036  0.1557000 0.329400            -2.661 11 -108.541 260.1 21.58  0.000
## 1758            0.507900 -0.2951000        10 -110.501 260.1 21.58  0.000
## 3471 -0.0029920          -0.5380000 -2.077  9 -112.459 260.1 21.59  0.000
## 3688            0.421000 -0.6055000 -2.515 10 -110.503 260.1 21.59  0.000
## 3031  0.0253500 0.392400            -2.346 10 -110.503 260.1 21.59  0.000
## 2912  0.0824100 0.362600            -2.703 11 -108.551 260.1 21.59  0.000
## 1004 -0.0825600 0.653600                   10 -110.509 260.1 21.60  0.000
## 3997  0.0661200 0.713100 -0.6718000 -2.152 10 -110.521 260.2 21.62  0.000
## 4013 -0.0491400 0.825100 -0.6138000 -1.951 10 -110.528 260.2 21.64  0.000
## 3503 -0.0741700          -0.5623000 -2.307 10 -110.530 260.2 21.64  0.000
## 1879 -0.2001000 0.701300 -0.0173200         9 -112.486 260.2 21.64  0.000
## 1519 -0.2111000          -0.3334000        10 -110.531 260.2 21.64  0.000
## 1511 -0.1904000          -0.1923000         9 -112.489 260.2 21.65  0.000
## 2018 -0.0921700 0.673200 -0.2395000         9 -112.490 260.2 21.65  0.000
## 990  -0.0717300 0.543200                   10 -110.536 260.2 21.65  0.000
## 1764            0.670600 -0.2169000         9 -112.493 260.2 21.65  0.000
## 736             0.543300                   10 -110.537 260.2 21.65  0.000
## 3054  0.0766300 0.375500            -2.252 11 -108.583 260.2 21.66  0.000
## 3487  0.0495800          -0.6337000 -2.450 10 -110.544 260.2 21.67  0.000
## 4077 -0.1068000 0.282000 -0.9017000 -2.403 11 -108.590 260.2 21.67  0.000
## 1790            0.435200 -0.2409000        11 -108.594 260.2 21.68  0.000
## 996  -0.0623000 0.705300                    9 -112.509 260.2 21.69  0.000
## 1384 -0.1877000          -0.1134000         9 -112.513 260.2 21.69  0.000
## 3495 -0.0643300          -0.3989000 -2.110  9 -112.515 260.2 21.70  0.000
## 3304                     -0.6826000 -2.539 10 -110.565 260.3 21.71  0.000
## 1022 -0.1255000 0.468700                   11 -108.613 260.3 21.72  0.000
## 3432 -0.0795200          -0.6815000 -2.579 10 -110.572 260.3 21.73  0.000
## 768             0.450100                   11 -108.617 260.3 21.73  0.000
## 2027 -0.1704000 0.615900 -0.3414000        10 -110.578 260.3 21.74  0.000
## 2013 -0.1508000 0.518000 -0.3096000        10 -110.580 260.3 21.74  0.000
## 3470  0.1308000          -0.7291000 -1.934  9 -112.544 260.3 21.76  0.000
## 1759            0.508200 -0.2848000        10 -110.590 260.3 21.76  0.000
## 1900 -0.1562000 0.677600 -0.2866000        10 -110.596 260.3 21.77  0.000
## 1248                     -0.3718000        10 -110.604 260.3 21.79  0.000
## 1502 -0.0966900          -0.3631000        10 -110.604 260.3 21.79  0.000
## 1516 -0.0919200          -0.4380000        10 -110.609 260.3 21.80  0.000
## 3038  0.1855000 0.270500            -2.408 11 -108.654 260.3 21.80  0.000
## 1280                     -0.3376000        11 -108.658 260.3 21.81  0.000
## 991  -0.1119000 0.556100                   10 -110.616 260.4 21.81  0.000
## 3055 -0.0808900 0.459700            -2.360 11 -108.661 260.4 21.81  0.000
## 3814            0.352900 -0.7323000 -2.336 10 -110.622 260.4 21.82  0.000
## 3812            0.411600 -0.7105000 -2.592 10 -110.623 260.4 21.83  0.000
## 1534 -0.1467000          -0.3103000        11 -108.668 260.4 21.83  0.000
## 3940 -0.0423700 0.430000 -0.7028000 -2.649 10 -110.637 260.4 21.85  0.000
## 2792            0.502500            -2.311 10 -110.639 260.4 21.86  0.000
## 1368 -0.1279000          -0.1003000         9 -112.596 260.4 21.86  0.000
## 2920 -0.0376200 0.510300            -2.327 10 -110.640 260.4 21.86  0.000
## 3942 -0.0516200 0.370100 -0.7271000 -2.385 10 -110.641 260.4 21.86  0.000
## 2019 -0.1323000 0.683900 -0.2106000         9 -112.607 260.4 21.88  0.000
## 480  -0.0326000                            10 -110.658 260.4 21.90  0.000
## 1788            0.417500 -0.3520000        11 -108.702 260.4 21.90  0.000
## 512  -0.0751900                            11 -108.705 260.4 21.90  0.000
## 2042 -0.1143000 0.454600 -0.3203000        11 -108.715 260.5 21.92  0.000
## 3558 -0.0240600          -0.7854000 -2.394 10 -110.672 260.5 21.93  0.000
## 3039  0.0474500 0.346900            -2.483 11 -108.718 260.5 21.93  0.000
## 1756            0.510800 -0.3933000        10 -110.679 260.5 21.94  0.000
## 2010 -0.0548600 0.528300 -0.3784000        10 -110.681 260.5 21.94  0.000
## 1503 -0.1152000          -0.3714000        10 -110.688 260.5 21.96  0.000
## 3556 -0.0071560          -0.7774000 -2.649 10 -110.691 260.5 21.96  0.000
## 1014 -0.1330000 0.522800                   10 -110.700 260.5 21.98  0.000
## 760             0.499800                   10 -110.703 260.5 21.99  0.000
## 1782            0.503400 -0.0959700        10 -110.704 260.5 21.99  0.000
## 1508 -0.0477700          -0.3155000         9 -112.662 260.5 21.99  0.000
## 1020 -0.0406900 0.468800                   11 -108.755 260.5 22.00  0.000
## 3776            0.501600 -0.7213000 -2.976 12 -106.818 260.6 22.04  0.000
## 3904  0.0179700 0.502000 -0.7169000 -2.984 12 -106.818 260.6 22.04  0.000
## 1416 -0.0351300          -0.0742300         8 -114.643 260.6 22.04  0.000
## 1918 -0.1980000 0.511700 -0.1977000        11 -108.776 260.6 22.04  0.000
## 1532 -0.0631600          -0.4195000        11 -108.777 260.6 22.05  0.000
## 4066  0.0136800 0.355100 -0.8132000 -2.449 10 -110.735 260.6 22.05  0.000
## 4028  0.0031830 0.506300 -0.6957000 -2.944 12 -106.826 260.6 22.06  0.000
## 988   0.0127900 0.562800                   10 -110.740 260.6 22.06  0.000
## 2536  0.0123300                     -2.361 10 -110.743 260.6 22.07  0.000
## 2011 -0.0743200 0.520200 -0.3839000        10 -110.743 260.6 22.07  0.000
## 1664            0.495000 -0.1741000        11 -108.793 260.6 22.08  0.000
## 896  -0.1665000 0.529400                   11 -108.793 260.6 22.08  0.000
## 1892 -0.1235000 0.771000 -0.1263000         9 -112.720 260.6 22.11  0.000
## 1500 -0.0077590          -0.4647000        10 -110.784 260.7 22.15  0.000
## 1272                     -0.1997000        10 -110.789 260.7 22.16  0.000
## 1526 -0.1257000          -0.1672000        10 -110.801 260.7 22.18  0.000
## 504  -0.0730500                            10 -110.803 260.7 22.19  0.000
## 3044  0.0567300 0.513500            -2.418 10 -110.814 260.7 22.21  0.000
## 3046  0.0533200 0.445300            -2.095 10 -110.827 260.8 22.24  0.000
## 3831            0.207400 -0.6618000 -2.717 11 -108.881 260.8 22.25  0.000
## 2045 -0.2136000 0.455000 -0.2607000        11 -108.883 260.8 22.26  0.000
## 3943 -0.1661000 0.454600 -0.5640000 -2.349 10 -110.841 260.8 22.26  0.000
## 1408 -0.1620000          -0.2585000        11 -108.889 260.8 22.27  0.000
## 3815            0.433700 -0.5514000 -2.327 10 -110.848 260.8 22.28  0.000
## 4083 -0.0679200 0.209700 -0.7061000 -2.760 11 -108.894 260.8 22.28  0.000
## 3520  0.0628700          -0.7829000 -3.048 12 -106.940 260.8 22.29  0.000
## 3575 -0.0772100          -0.7066000 -2.745 11 -108.897 260.8 22.29  0.000
## 1791            0.428300 -0.2501000        11 -108.899 260.8 22.29  0.000
## 1876 -0.0613600 0.729800 -0.1161000         9 -112.815 260.8 22.30  0.000
## 3959 -0.1049000 0.239100 -0.6495000 -2.784 11 -108.908 260.8 22.31  0.000
## 1023 -0.1682000 0.476600                   11 -108.913 260.9 22.32  0.000
## 1886 -0.1622000 0.618900 -0.2115000        10 -110.884 260.9 22.35  0.000
## 864  -0.1538000 0.656400                   10 -110.887 260.9 22.36  0.000
## 1632            0.625800 -0.1507000        10 -110.889 260.9 22.36  0.000
## 4085 -0.0531200 0.168500 -0.7486000 -2.621 11 -108.940 260.9 22.37  0.000
## 1780            0.489900 -0.2275000        10 -110.898 260.9 22.38  0.000
## 4030  0.0869100 0.444700 -0.8279000 -2.821 12 -106.993 260.9 22.39  0.000
## 2034 -0.0773300 0.527000 -0.1849000        10 -110.915 260.9 22.41  0.000
## 3559 -0.1297000          -0.6390000 -2.381 10 -110.915 261.0 22.41  0.000
## 1012 -0.0206100 0.522200                   10 -110.918 261.0 22.42  0.000
## 1535 -0.1737000          -0.3345000        11 -108.965 261.0 22.42  0.000
## 1916 -0.1240000 0.522500 -0.2655000        11 -108.968 261.0 22.43  0.000
## 1887 -0.2005000 0.639400 -0.1711000        10 -110.932 261.0 22.44  0.000
## 2043 -0.1478000 0.442500 -0.3366000        11 -108.978 261.0 22.45  0.000
## 4067 -0.0986300 0.440500 -0.6525000 -2.430 10 -110.941 261.0 22.46  0.000
## 920  -0.0670900 0.944600                    9 -112.901 261.0 22.47  0.000
## 1688            0.938000  0.0001780         9 -112.903 261.0 22.47  0.000
## 3008  0.0971700 0.580900            -2.785 12 -107.040 261.0 22.48  0.000
## 3047 -0.0953200 0.523700            -2.173 10 -110.956 261.0 22.49  0.000
## 1942 -0.0386800 0.917700 -0.0642100         9 -112.921 261.0 22.51  0.000
## 1910 -0.1869000 0.597200 -0.0277500        10 -110.971 261.1 22.52  0.000
## 888  -0.1833000 0.600300                   10 -110.971 261.1 22.52  0.000
## 4069 -0.1020000 0.380700 -0.6848000 -2.170 10 -110.972 261.1 22.52  0.000
## 1656            0.584700  0.0011800        10 -110.986 261.1 22.55  0.000
## 2037 -0.1977000 0.523000 -0.1116000        10 -110.991 261.1 22.56  0.000
## 1524 -0.0189800          -0.2965000        10 -110.994 261.1 22.57  0.000
## 1015 -0.1725000 0.527300                   10 -110.996 261.1 22.57  0.000
## 1783            0.498100 -0.1021000        10 -111.004 261.1 22.59  0.000
## 1919 -0.2395000 0.520000 -0.1878000        11 -109.053 261.1 22.60  0.000
## 3063 -0.0160700 0.309000            -2.534 11 -109.055 261.1 22.60  0.000
## 1376 -0.1368000          -0.2464000        10 -111.040 261.2 22.66  0.000
## 912  -0.1250000 1.147000                    9 -113.017 261.2 22.70  0.000
## 936  -0.1724000 1.038000                    9 -113.020 261.2 22.71  0.000
## 1680            1.130000 -0.0446400         9 -113.022 261.3 22.71  0.000
## 1704            1.029000  0.0730300         9 -113.030 261.3 22.73  0.000
## 1527 -0.1535000          -0.1917000        10 -111.093 261.3 22.77  0.000
## 1940  0.0068670 0.929400 -0.0918000         9 -113.059 261.3 22.79  0.000
## 1400 -0.1482000          -0.0899000        10 -111.114 261.3 22.81  0.000
## 1943 -0.1097000 0.970100  0.0210900         9 -113.074 261.4 22.82  0.000
## 1958 -0.1178000 1.003000 -0.0423600         9 -113.077 261.4 22.82  0.000
## 1935 -0.1596000 1.154000 -0.0449400         9 -113.092 261.4 22.85  0.000
## 968  -0.1515000 0.726400                    9 -113.097 261.4 22.86  0.000
## 1736            0.695000 -0.1358000         9 -113.099 261.4 22.87  0.000
## 1990 -0.1500000 0.680800 -0.2083000         9 -113.101 261.4 22.87  0.000
## 1832 -0.1944000 1.091000  0.1215000         9 -113.112 261.4 22.89  0.000
## 2035 -0.1097000 0.512400 -0.2050000        10 -111.162 261.4 22.91  0.000
## 1934 -0.0655900 1.088000 -0.1905000         9 -113.124 261.5 22.92  0.000
## 1884 -0.0850600 0.661300 -0.2579000        10 -111.177 261.5 22.93  0.000
## 1991 -0.1945000 0.710400 -0.1485000         9 -113.139 261.5 22.95  0.000
## 4092 -0.0158400 0.054220 -0.9818000 -3.228 13 -105.320 261.5 22.96  0.000
## 3840            0.053070 -0.9781000 -3.226 13 -105.320 261.5 22.96  0.000
## 3584 -0.0127900          -0.9888000 -3.234 13 -105.322 261.5 22.96  0.000
## 3968 -0.0204700 0.061230 -0.9736000 -3.246 13 -105.323 261.5 22.96  0.000
## 1808 -0.1681000 1.208000  0.0267100         9 -113.166 261.5 23.00  0.000
## 3720            1.005000 -0.3299000 -1.966  9 -113.173 261.6 23.01  0.000
## 3768            0.554700 -0.5409000 -2.747 11 -109.263 261.6 23.02  0.000
## 4020  0.0358500 0.547500 -0.5575000 -2.776 11 -109.269 261.6 23.03  0.000
## 1932 -0.0573400 1.133000 -0.1505000         9 -113.184 261.6 23.04  0.000
## 1911 -0.2327000 0.609800 -0.0104300        10 -111.237 261.6 23.05  0.000
## 3896  0.0110400 0.572300 -0.5170000 -2.813 11 -109.287 261.6 23.07  0.000
## 2952 -0.0060320 1.043000            -1.880  9 -113.210 261.6 23.09  0.000
## 3848 -0.0576200 1.037000 -0.3054000 -2.056  9 -113.215 261.6 23.10  0.000
## 4094  0.0237300 0.008091 -1.0550000 -3.136 13 -105.392 261.6 23.10  0.000
## 1908 -0.0915400 0.620000 -0.1036000        10 -111.285 261.7 23.15  0.000
## 1956 -0.0788000 1.032000 -0.0469200         9 -113.243 261.7 23.15  0.000
## 1432  0.0110100          -0.1048000         9 -113.247 261.7 23.16  0.000
## 1959 -0.2088000 1.073000  0.0823300         9 -113.254 261.7 23.18  0.000
## 1816 -0.1265000 1.063000  0.1365000         9 -113.267 261.7 23.20  0.000
## 3972  0.0186500 0.995000 -0.4200000 -2.073  9 -113.271 261.7 23.21  0.000
## 1480 -0.1231000          -0.2472000         9 -113.272 261.8 23.21  0.000
## 3000  0.0807000 0.612800            -2.608 11 -109.377 261.8 23.25  0.000
## 4022  0.0829800 0.502600 -0.6374000 -2.610 11 -109.392 261.8 23.28  0.000
## 944  -0.1702000 1.026000                   10 -111.349 261.8 23.28  0.000
## 3512  0.0704000          -0.6080000 -2.826 11 -109.399 261.8 23.29  0.000
## 1712            1.005000 -0.0458600        10 -111.360 261.8 23.30  0.000
## 952  -0.1033000 0.803900                   10 -111.370 261.9 23.32  0.000
## 1974 -0.0942400 0.794700 -0.0215900        10 -111.372 261.9 23.33  0.000
## 1720            0.795100  0.0107100        10 -111.374 261.9 23.33  0.000
## 3736            0.746900 -0.4817000 -2.393 10 -111.388 261.9 23.36  0.000
## 1864 -0.2167000 0.808500 -0.0338400         9 -113.347 261.9 23.36  0.000
## 1840 -0.1985000 1.051000 -0.0245400        10 -111.391 261.9 23.36  0.000
## 3988  0.0773300 0.732300 -0.5190000 -2.456 10 -111.413 261.9 23.41  0.000
## 3975 -0.0909700 1.038000 -0.2817000 -1.843  9 -113.371 262.0 23.41  0.000
## 1966 -0.1277000 0.976700 -0.1693000        10 -111.417 262.0 23.41  0.000
## 1982 -0.1038000 0.763100 -0.1512000        11 -109.498 262.0 23.49  0.000
## 1728            0.764800 -0.1124000        11 -109.500 262.0 23.49  0.000
## 960  -0.0996000 0.786300                   11 -109.501 262.0 23.50  0.000
## 2968  0.0977200 0.795000            -2.273 10 -111.469 262.1 23.52  0.000
## 1964 -0.1136000 1.011000 -0.1473000        10 -111.485 262.1 23.55  0.000
## 1448 -0.0828700          -0.0531100         9 -113.443 262.1 23.55  0.000
## 1988 -0.0589500 0.720100 -0.2718000         9 -113.447 262.1 23.56  0.000
## 3974  0.0522000 0.942200 -0.4894000 -1.712  9 -113.457 262.1 23.58  0.000
## 1972 -0.0377000 0.789400 -0.0766100        10 -111.502 262.1 23.58  0.000
## 3864  0.0205000 0.796500 -0.4231000 -2.537 10 -111.511 262.1 23.60  0.000
## 1980 -0.0724400 0.764500 -0.1788000        11 -109.557 262.1 23.61  0.000
## 3990  0.1197000 0.685100 -0.5946000 -2.224 10 -111.558 262.2 23.70  0.000
## 1424 -0.0403500          -0.1769000         9 -113.524 262.3 23.72  0.000
## 1967 -0.2214000 1.049000 -0.0394000        10 -111.589 262.3 23.76  0.000
## 1848 -0.1494000 0.887300  0.1068000        10 -111.596 262.3 23.77  0.000
## 1856 -0.1520000 0.839500 -0.0443500        11 -109.646 262.3 23.78  0.000
## 3464  0.0424300          -0.4550000 -2.067  9 -113.565 262.3 23.80  0.000
## 3480  0.1121000          -0.5688000 -2.491 10 -111.613 262.3 23.81  0.000
## 3072  0.0900400 0.195900            -2.949 13 -105.747 262.4 23.81  0.000
## 1464 -0.0376800          -0.0844600        10 -111.636 262.4 23.85  0.000
## 3760            0.832600 -0.5290000 -2.417 11 -109.696 262.4 23.89  0.000
## 3888 -0.0734200 0.827100 -0.5525000 -2.361 11 -109.706 262.4 23.90  0.000
## 4012 -0.0568700 0.833000 -0.5739000 -2.458 11 -109.711 262.5 23.91  0.000
## 4031 -0.0735900 0.597600 -0.5992000 -2.677 12 -107.756 262.5 23.92  0.000
## 1744            0.646600 -0.2675000        10 -111.676 262.5 23.93  0.000
## 1998 -0.1585000 0.631300 -0.3447000        10 -111.679 262.5 23.94  0.000
## 976  -0.1443000 0.694500                   10 -111.695 262.5 23.97  0.000
## 1999 -0.1997000 0.661800 -0.2851000        10 -111.696 262.5 23.97  0.000
## 1696            0.934200 -0.1025000        10 -111.696 262.5 23.97  0.000
## 928  -0.0587400 0.950700                   10 -111.698 262.5 23.98  0.000
## 1472 -0.0523500          -0.2070000        11 -109.760 262.6 24.01  0.000
## 3784            0.477400 -0.6171000 -2.290 10 -111.717 262.6 24.01  0.000
## 1950 -0.0384200 0.909800 -0.1766000        10 -111.722 262.6 24.03  0.000
## 3880 -0.0765000 0.881700 -0.3682000 -2.221 10 -111.723 262.6 24.03  0.000
## 3752            0.872800 -0.3618000 -2.215 10 -111.724 262.6 24.03  0.000
## 2992 -0.0206700 0.895600            -2.274 11 -109.805 262.6 24.10  0.000
## 3991 -0.0213700 0.795300 -0.3978000 -2.216 10 -111.764 262.6 24.11  0.000
## 2984 -0.0332800 0.917600            -2.118 10 -111.771 262.7 24.12  0.000
## 3912 -0.0965600 0.519400 -0.5914000 -2.390 10 -111.774 262.7 24.13  0.000
## 1975 -0.1615000 0.854700  0.0404500        10 -111.778 262.7 24.14  0.000
## 1456 -0.0981300          -0.1723000        10 -111.779 262.7 24.14  0.000
## 1948 -0.0154000 0.929100 -0.1785000        10 -111.792 262.7 24.17  0.000
## 4004 -0.0237600 0.866300 -0.4416000 -2.304 10 -111.794 262.7 24.17  0.000
## 3528 -0.0446300          -0.6998000 -2.352 10 -111.804 262.7 24.19  0.000
## 1488 -0.1365000          -0.3756000        10 -111.832 262.8 24.24  0.000
## 1951 -0.1109000 0.964300 -0.0861200        10 -111.845 262.8 24.27  0.000
## 4038 -0.0183700 0.416800 -0.7427000 -2.132 10 -111.851 262.8 24.28  0.000
## 3728            0.993500 -0.4625000 -2.091 10 -111.852 262.8 24.28  0.000
## 3016 -0.0102100 0.569500            -2.118 10 -111.852 262.8 24.28  0.000
## 4039 -0.1204000 0.497400 -0.5891000 -2.192 10 -111.858 262.8 24.30  0.000
## 3856 -0.0522200 1.015000 -0.4502000 -2.148 10 -111.869 262.9 24.32  0.000
## 1872 -0.2216000 0.747800 -0.1847000        10 -111.876 262.9 24.33  0.000
## 3744            0.732200 -0.6180000 -2.526 11 -109.923 262.9 24.34  0.000
## 3996  0.0566300 0.724700 -0.6258000 -2.548 11 -109.925 262.9 24.34  0.000
## 1983 -0.1732000 0.825000 -0.0850200        11 -109.926 262.9 24.35  0.000
## 4036 -0.0007863 0.479100 -0.7276000 -2.416 10 -111.883 262.9 24.35  0.000
## 3980 -0.0020860 0.987800 -0.5264000 -2.164 10 -111.897 262.9 24.38  0.000
## 2960  0.0087060 1.045000            -1.971 10 -111.928 263.0 24.44  0.000
## 3792            0.408900 -0.7951000 -2.464 11 -109.979 263.0 24.45  0.000
## 1996 -0.0861600 0.669000 -0.3927000        10 -111.940 263.0 24.46  0.000
## 3872  0.0274200 0.769300 -0.5733000 -2.640 11 -110.001 263.0 24.50  0.000
## 3952 -0.1104000 0.317600 -0.8479000 -2.691 12 -108.047 263.0 24.50  0.000
## 3920 -0.0947600 0.438300 -0.7839000 -2.529 11 -110.004 263.0 24.50  0.000
## 3504 -0.0106900          -0.6405000 -2.507 11 -110.005 263.0 24.50  0.000
## 3824            0.316900 -0.8244000 -2.727 12 -108.049 263.0 24.50  0.000
## 4095 -0.1006000 0.110200 -0.8929000 -2.979 13 -106.093 263.0 24.50  0.000
## 2006 -0.1165000 0.563900 -0.1812000        10 -111.974 263.1 24.53  0.000
## 4014  0.0142400 0.771300 -0.6915000 -2.163 11 -110.019 263.1 24.53  0.000
## 4006  0.0129100 0.815800 -0.5138000 -1.983 10 -111.979 263.1 24.54  0.000
## 1752            0.551000 -0.1725000        10 -111.979 263.1 24.54  0.000
## 984  -0.0886100 0.581900                   10 -111.987 263.1 24.55  0.000
## 3800            0.268200 -0.7416000 -2.673 11 -110.034 263.1 24.56  0.000
## 3568 -0.0909100          -0.8890000 -2.768 12 -108.089 263.1 24.58  0.000
## 3536 -0.0534800          -0.8692000 -2.517 11 -110.047 263.1 24.59  0.000
## 1824 -0.1256000 1.047000  0.0156500        10 -112.006 263.1 24.59  0.000
## 4076 -0.0745700 0.321500 -0.8932000 -2.793 12 -108.094 263.1 24.59  0.000
## 3544  0.0273000          -0.7818000 -2.715 11 -110.063 263.2 24.62  0.000
## 2976  0.1134000 0.795100            -2.368 11 -110.064 263.2 24.62  0.000
## 4044 -0.0262400 0.410700 -0.8825000 -2.558 11 -110.073 263.2 24.64  0.000
## 3983 -0.0876700 1.024000 -0.4191000 -1.977 10 -112.034 263.2 24.65  0.000
## 3496 -0.0013050          -0.4761000 -2.308 10 -112.037 263.2 24.66  0.000
## 4023 -0.0692800 0.648500 -0.4214000 -2.454 11 -110.089 263.2 24.67  0.000
## 1440  0.0058940          -0.2079000        10 -112.054 263.2 24.69  0.000
## 4047 -0.1197000 0.427000 -0.7735000 -2.378 11 -110.099 263.2 24.69  0.000
## 4052  0.0564300 0.259500 -0.8035000 -2.762 11 -110.100 263.2 24.69  0.000
## 4054  0.0502300 0.218300 -0.8209000 -2.576 11 -110.102 263.2 24.70  0.000
## 3808            0.197800 -0.9216000 -2.850 12 -108.146 263.2 24.70  0.000
## 3552  0.0186400          -0.9520000 -2.882 12 -108.163 263.3 24.73  0.000
## 4060  0.0308300 0.192400 -0.9574000 -2.901 12 -108.168 263.3 24.74  0.000
## 2007 -0.1468000 0.568200 -0.1704000        10 -112.085 263.3 24.75  0.000
## 1496 -0.0726500          -0.2574000        10 -112.093 263.3 24.77  0.000
## 3998  0.1281000 0.664900 -0.7406000 -2.338 11 -110.140 263.3 24.77  0.000
## 4046 -0.0174300 0.344000 -0.9286000 -2.293 11 -110.146 263.3 24.78  0.000
## 3832            0.158700 -0.7597000 -2.958 12 -108.192 263.3 24.79  0.000
## 3488  0.1119000          -0.7035000 -2.622 11 -110.152 263.3 24.80  0.000
## 3576  0.0023690          -0.7854000 -2.983 12 -108.203 263.4 24.81  0.000
## 4078 -0.0515000 0.257500 -0.9559000 -2.564 12 -108.208 263.4 24.82  0.000
## 4084  0.0210800 0.153500 -0.8003000 -3.015 12 -108.220 263.4 24.85  0.000
## 3928 -0.0202700 0.327800 -0.6828000 -2.821 11 -110.182 263.4 24.86  0.000
## 4015 -0.1463000 0.894300 -0.4578000 -2.214 11 -110.183 263.4 24.86  0.000
## 3960 -0.0233100 0.186600 -0.7331000 -3.035 12 -108.231 263.4 24.87  0.000
## 4062  0.0517600 0.143200 -1.0090000 -2.743 12 -108.236 263.4 24.88  0.000
## 3936 -0.0174000 0.243000 -0.8790000 -2.967 12 -108.242 263.4 24.89  0.000
## 4086  0.0265600 0.117700 -0.8281000 -2.878 12 -108.244 263.4 24.89  0.000
## 4007 -0.1397000 0.933500 -0.2911000 -2.015 10 -112.165 263.5 24.91  0.000
## 1000 -0.1845000 0.681900                   10 -112.168 263.5 24.92  0.000
## 2022 -0.1860000 0.648700 -0.1607000        10 -112.168 263.5 24.92  0.000
## 3024  0.0056020 0.526900            -2.241 11 -110.218 263.5 24.93  0.000
## 1768            0.652400 -0.0997000        10 -112.178 263.5 24.94  0.000
## 2030 -0.2036000 0.584700 -0.3074000        11 -110.235 263.5 24.96  0.000
## 3032  0.0877100 0.372400            -2.470 11 -110.238 263.5 24.97  0.000
## 3982  0.0595000 0.925800 -0.6311000 -1.817 10 -112.197 263.5 24.98  0.000
## 1928 -0.1282000 1.144000  0.0395500         9 -114.155 263.5 24.98  0.000
## 1776            0.587400 -0.2434000        11 -110.248 263.5 24.99  0.000
## 1008 -0.1833000 0.635500                   11 -110.257 263.5 25.01  0.000
## 2004 -0.0173900 0.562800 -0.2810000        10 -112.228 263.6 25.04  0.000
## 3056 -0.0210800 0.442300            -2.493 12 -108.325 263.6 25.06  0.000
## 3999 -0.0170200 0.777800 -0.5392000 -2.358 11 -110.285 263.6 25.06  0.000
## 3472  0.0416000          -0.5866000 -2.191 10 -112.256 263.6 25.09  0.000
## 1904 -0.2437000 0.654000 -0.2086000        11 -110.311 263.7 25.12  0.000
## 4055 -0.0527600 0.297000 -0.6821000 -2.527 11 -110.331 263.7 25.16  0.000
## 1896 -0.2346000 0.737500 -0.0353400        10 -112.305 263.7 25.19  0.000
## 2023 -0.2366000 0.674600 -0.1103000        10 -112.317 263.8 25.22  0.000
## 4079 -0.1713000 0.352000 -0.7825000 -2.566 12 -108.418 263.8 25.24  0.000
## 4063 -0.0513400 0.223800 -0.8693000 -2.718 12 -108.419 263.8 25.24  0.000
## 1512 -0.1550000          -0.2097000        10 -112.331 263.8 25.24  0.000
## 1520 -0.1773000          -0.3493000        11 -110.377 263.8 25.25  0.000
## 2031 -0.2527000 0.610200 -0.2581000        11 -110.379 263.8 25.25  0.000
## 3064  0.0735500 0.267400            -2.748 12 -108.424 263.8 25.25  0.000
## 3040  0.1038000 0.329300            -2.594 12 -108.484 263.9 25.37  0.000
## 1880 -0.1739000 0.699100 -0.0267200        10 -112.410 263.9 25.40  0.000
## 2028 -0.1345000 0.610100 -0.3619000        11 -110.458 263.9 25.41  0.000
## 2014 -0.1250000 0.515100 -0.3173000        11 -110.494 264.0 25.48  0.000
## 3816            0.411500 -0.6169000 -2.481 11 -110.497 264.0 25.49  0.000
## 3944 -0.1098000 0.429200 -0.6203000 -2.507 11 -110.498 264.0 25.49  0.000
## 1760            0.503500 -0.3035000        11 -110.501 264.0 25.49  0.000
## 2020 -0.0955000 0.677800 -0.2319000        10 -112.489 264.1 25.56  0.000
## 992  -0.0818000 0.551100                   11 -110.534 264.1 25.56  0.000
## 2046 -0.1709000 0.444900 -0.2711000        12 -108.580 264.1 25.56  0.000
## 1792            0.413200 -0.2819000        12 -108.583 264.1 25.57  0.000
## 3560 -0.0741200          -0.6932000 -2.535 11 -110.563 264.2 25.62  0.000
## 1024 -0.1160000 0.461000                   12 -108.611 264.2 25.63  0.000
## 2015 -0.1521000 0.519700 -0.3069000        11 -110.580 264.2 25.65  0.000
## 1504 -0.0863400          -0.3850000        11 -110.600 264.2 25.69  0.000
## 1536 -0.1249000          -0.3567000        12 -108.651 264.2 25.71  0.000
## 4070 -0.0464200 0.356000 -0.7394000 -2.332 11 -110.621 264.3 25.74  0.000
## 4068 -0.0372500 0.414500 -0.7162000 -2.591 11 -110.622 264.3 25.74  0.000
## 3048 -0.0343300 0.505800            -2.308 11 -110.638 264.3 25.77  0.000
## 2044 -0.0933500 0.424700 -0.3668000        12 -108.698 264.3 25.80  0.000
## 2012 -0.0448600 0.514300 -0.4004000        11 -110.678 264.4 25.85  0.000
## 2038 -0.1536000 0.512200 -0.1230000        11 -110.694 264.4 25.88  0.000
## 1784            0.482200 -0.1355000        11 -110.695 264.4 25.88  0.000
## 1016 -0.1182000 0.510900                   11 -110.697 264.4 25.89  0.000
## 4032  0.0191100 0.500000 -0.7189000 -2.977 13 -106.818 264.5 25.95  0.000
## 1920 -0.1951000 0.508200 -0.2037000        12 -108.775 264.5 25.96  0.000
## 1528 -0.1030000          -0.2153000        11 -110.784 264.6 26.06  0.000
## 4087 -0.0932100 0.214900 -0.6742000 -2.712 12 -108.877 264.7 26.16  0.000
## 2047 -0.2047000 0.443500 -0.2797000        12 -108.880 264.7 26.17  0.000
## 4071 -0.1618000 0.446100 -0.5732000 -2.320 11 -110.837 264.7 26.17  0.000
## 1888 -0.1787000 0.638000 -0.1779000        11 -110.875 264.8 26.24  0.000
## 2036 -0.0543900 0.494100 -0.2361000        11 -110.897 264.8 26.29  0.000
## 1944 -0.0682800 0.943700 -0.0093000        10 -112.901 264.9 26.38  0.000
## 1912 -0.1872000 0.597500 -0.0272100        11 -110.971 265.0 26.43  0.000
## 2039 -0.1894000 0.512200 -0.1294000        11 -110.989 265.0 26.47  0.000
## 1936 -0.1332000 1.141000 -0.0632900        10 -113.015 265.2 26.61  0.000
## 1960 -0.1660000 1.042000  0.0498500        10 -113.020 265.2 26.62  0.000
## 1992 -0.1723000 0.707600 -0.1605000        10 -113.088 265.3 26.76  0.000
## 4096 -0.0169800 0.054480 -0.9803000 -3.225 14 -105.320 265.4 26.87  0.000
## 3976 -0.0435400 1.009000 -0.3355000 -1.963 10 -113.172 265.5 26.93  0.000
## 4024  0.0219800 0.552700 -0.5382000 -2.749 12 -109.263 265.5 26.93  0.000
## 1968 -0.1793000 1.019000 -0.0709800        11 -111.347 265.7 27.19  0.000
## 1976 -0.1038000 0.803600 -0.0036880        11 -111.370 265.8 27.23  0.000
## 3992  0.0458800 0.742800 -0.4760000 -2.397 11 -111.388 265.8 27.27  0.000
## 1984 -0.1160000 0.774400 -0.1285000        12 -109.494 265.9 27.39  0.000
## 4016 -0.0808800 0.839300 -0.5393000 -2.412 12 -109.693 266.3 27.79  0.000
## 2000 -0.1823000 0.659900 -0.2937000        11 -111.663 266.4 27.82  0.000
## 1952 -0.0730900 0.940300 -0.1126000        11 -111.694 266.4 27.88  0.000
## 4040 -0.0805500 0.483800 -0.6275000 -2.285 11 -111.714 266.5 27.92  0.000
## 4008 -0.0748900 0.879000 -0.3714000 -2.211 11 -111.722 266.5 27.94  0.000
## 3984 -0.0433800 0.997200 -0.4680000 -2.088 11 -111.851 266.7 28.19  0.000
## 4000  0.0470400 0.728000 -0.6121000 -2.529 12 -109.922 266.8 28.25  0.000
## 4048 -0.0842700 0.415500 -0.8061000 -2.459 12 -109.976 266.9 28.36  0.000
## 4080 -0.1148000 0.325800 -0.8394000 -2.720 13 -108.042 266.9 28.40  0.000
## 2008 -0.1130000 0.559600 -0.1885000        11 -111.974 267.0 28.44  0.000
## 4056  0.0064700 0.267700 -0.7407000 -2.673 12 -110.034 267.0 28.47  0.000
## 4064  0.0032940 0.197500 -0.9212000 -2.851 13 -108.146 267.1 28.61  0.000
## 4088 -0.0099490 0.159500 -0.7610000 -2.957 13 -108.192 267.2 28.70  0.000
## 2024 -0.2011000 0.667000 -0.1283000        11 -112.162 267.4 28.82  0.000
## 2032 -0.2188000 0.603200 -0.2747000        12 -110.228 267.4 28.86  0.000
## 4072 -0.1050000 0.419700 -0.6306000 -2.475 12 -110.492 267.9 29.39  0.000
## 2016 -0.1232000 0.512800 -0.3211000        12 -110.494 267.9 29.39  0.000
## 2048 -0.1551000 0.424900 -0.3039000        13 -108.572 268.0 29.46  0.000
## 2040 -0.1382000 0.492600 -0.1551000        12 -110.687 268.3 29.78  0.000
## Models ranked by BIC(x)

x1=runif(n)
x2=runif(n)
x3=runif(n)


y <- rnorm(n, mean = a + 1*x1 - 0.1*x2 + 0.01*x3, sd = 0.01)
reg=lm(y~x1+x2+x3)

termplot(reg)

summary(reg)

## 
## Call:
## lm(formula = y ~ x1 + x2 + x3)
## 
## Residuals:
##       Min        1Q    Median        3Q       Max 
## -0.025795 -0.005610  0.001080  0.006901  0.017844 
## 
## Coefficients:
##              Estimate Std. Error  t value Pr(>|t|)    
## (Intercept)  4.991710   0.004979 1002.489  < 2e-16 ***
## x1           1.000268   0.005096  196.291  < 2e-16 ***
## x2          -0.094999   0.005838  -16.273  < 2e-16 ***
## x3           0.016443   0.005614    2.929  0.00528 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.01041 on 46 degrees of freedom
## Multiple R-squared:  0.9989, Adjusted R-squared:  0.9988 
## F-statistic: 1.352e+04 on 3 and 46 DF,  p-value: < 2.2e-16

hist(y)

par(mfrow=c(1,3))
plot(x1,y)
plot(x2,y)
plot(x3,y)

What can we conclude? Tell me about Type I errors? Answer: Because AIC retains so many Type I errors, it may not be best for inferences. The above graphs seem to indicate a significant trend in x1 that was not represented by AIC. Instead AIC, p-values, and BIC all ranked x3 as the strongest model.