#Set the working directory
setwd("C:/Users/jyqq9/Desktop/STA 108/Project 2")
#Read in the data from the text file
mydata = read.table("diabetes.txt", header=T)
#Examine the data
head(mydata)
dim(mydata)
## [1] 366 16
#1
#The quantiative variables are chol, stab.glu, hdl, ratio, glyhb, age, height, weight,
#bp.1s, bp.1d, waist, hip, time.ppn. The qualitative variables are location, gender, and frame.
#histogram for each quantiative variable
#chol's distribution
quantvar1 = subset(mydata, select = c(chol))
hist(quantvar1$chol)
#stab.glu's distribution
quantvar2 = subset(mydata, select = c(stab.glu))
hist(quantvar2$stab.glu)
#hdl's distribution
quantvar3 = subset(mydata, select = c(hdl))
hist(quantvar3$hdl)
#ratio's distribution
quantvar4 = subset(mydata, select = c(ratio))
hist(quantvar4$ratio)
#glyhb's distribution
quantvar5 = subset(mydata, select = c(glyhb))
hist(quantvar5$glyhb)
#age's distribution
quantvar6 = subset(mydata, select = c(age))
hist(quantvar6$age)
#height's distribution
quantvar7 = subset(mydata, select = c(height))
hist(quantvar7$height)
#weight's distribution
quantvar8 = subset(mydata, select = c(weight))
hist(quantvar8$weight)
#bp.1s' distribution
quantvar9 = subset(mydata, select = c(bp.1s))
hist(quantvar9$bp.1s)
#bp.1d's distribution
quantvar10 = subset(mydata, select = c(bp.1d))
hist(quantvar10$bp.1d)
#waist's distribution
quantvar11 = subset(mydata, select = c(waist))
hist(quantvar11$waist)
#hip's distribution
quantvar12 = subset(mydata, select = c(hip))
hist(quantvar12$hip)
#time.ppn's distribution
quantvar13 = subset(mydata, select = c(time.ppn))
hist(quantvar13$time.ppn)
#pie chart for each qualitative variable
#Load MASS package for the table function
library(MASS)
#location's distribution
qualvar1 = subset(mydata, select = c(location))
location = qualvar1$location
location.pie = table(location)
pie(location.pie)
#gender's distribution
qualvar2 = subset(mydata, select = c(gender))
gender = qualvar2$gender
gender.pie = table(gender)
pie(gender.pie)
#frame's distribution
qualvar3 = subset(mydata, select = c(frame))
frame = qualvar3$frame
frame.pie = table(frame)
pie(frame.pie)
#draw a scatterplot matrix and obtain the pairwise correlation matrix for all
#quantiative variables in the data
quantvarmatrix = mydata[c(1:5,7,9:10,12:16)]
pairs(quantvarmatrix)
#2
#regress glybh on all predictor variables
Model1 = lm(glyhb~.,data=mydata)
plot(Model1)
#3
library(MASS)
boxcox(mydata$glyhb~.,data=mydata)
Model2 = lm(1/mydata$glyhb~., data=mydata)
plot(Model2)
boxcox(Model2)
#4
set.seed(10) #set seed for random number generator
#so everyone gets the same split of the data.
N=nrow(mydata) #number of observations in the data
index=sample(1:N, size=N/2, replace=FALSE) #randomly sample
#N/2 observation to form the training data.
data.t=mydata[index,] #get the training data set
data.v=mydata[-index,] #the remaining N/2 observations form the validation set
#5
Model3 = lm(1/data.t$glyhb~., data=data.t)
summary(Model3)
##
## Call:
## lm(formula = 1/data.t$glyhb ~ ., data = data.t)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.097813 -0.022472 -0.002034 0.021097 0.134611
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.819e-01 8.499e-02 5.670 6.19e-08 ***
## chol -6.857e-05 1.695e-04 -0.405 0.6863
## stab.glu -5.314e-04 5.418e-05 -9.807 < 2e-16 ***
## hdl 1.211e-04 5.492e-04 0.220 0.8258
## ratio -2.414e-03 6.588e-03 -0.366 0.7145
## locationLouisa -1.808e-03 5.969e-03 -0.303 0.7623
## age -5.487e-04 2.199e-04 -2.495 0.0136 *
## gendermale -7.422e-04 1.018e-02 -0.073 0.9420
## height -1.212e-03 1.123e-03 -1.079 0.2820
## weight 2.210e-04 2.034e-04 1.087 0.2788
## framemedium 1.417e-03 7.861e-03 0.180 0.8572
## framesmall -1.062e-02 9.596e-03 -1.107 0.2699
## bp.1s -1.214e-04 1.708e-04 -0.711 0.4782
## bp.1d 3.198e-05 2.505e-04 0.128 0.8986
## waist -1.893e-03 1.148e-03 -1.649 0.1010
## hip -1.177e-03 1.352e-03 -0.870 0.3854
## time.ppn -1.444e-05 9.881e-06 -1.461 0.1459
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.0372 on 166 degrees of freedom
## Multiple R-squared: 0.5547, Adjusted R-squared: 0.5118
## F-statistic: 12.92 on 16 and 166 DF, p-value: < 2.2e-16
length(Model3$coefficients) #of regression coefficients
## [1] 17
summary(Model3)$sigma^2 #MSE from this model
## [1] 0.001383855
#6
library(leaps)
best = regsubsets(1/data.t$glyhb~., data=data.t, nbest=1, nvmax=16)
sum_sub=summary(best)
sum_sub$which
## (Intercept) chol stab.glu hdl ratio locationLouisa age gendermale
## 1 TRUE FALSE TRUE FALSE FALSE FALSE FALSE FALSE
## 2 TRUE FALSE TRUE FALSE FALSE FALSE TRUE FALSE
## 3 TRUE FALSE TRUE FALSE FALSE FALSE TRUE FALSE
## 4 TRUE FALSE TRUE FALSE TRUE FALSE TRUE FALSE
## 5 TRUE FALSE TRUE FALSE TRUE FALSE TRUE FALSE
## 6 TRUE FALSE TRUE FALSE TRUE FALSE TRUE FALSE
## 7 TRUE FALSE TRUE FALSE TRUE FALSE TRUE FALSE
## 8 TRUE FALSE TRUE FALSE TRUE FALSE TRUE FALSE
## 9 TRUE FALSE TRUE FALSE TRUE FALSE TRUE FALSE
## 10 TRUE FALSE TRUE FALSE TRUE FALSE TRUE FALSE
## 11 TRUE TRUE TRUE FALSE TRUE FALSE TRUE FALSE
## 12 TRUE TRUE TRUE FALSE TRUE TRUE TRUE FALSE
## 13 TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE
## 14 TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE
## 15 TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE
## 16 TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## height weight framemedium framesmall bp.1s bp.1d waist hip time.ppn
## 1 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 2 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 3 FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
## 4 FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
## 5 FALSE FALSE FALSE TRUE FALSE FALSE TRUE FALSE FALSE
## 6 FALSE FALSE FALSE TRUE FALSE FALSE TRUE FALSE TRUE
## 7 FALSE FALSE FALSE TRUE TRUE FALSE TRUE FALSE TRUE
## 8 TRUE FALSE FALSE TRUE TRUE FALSE TRUE FALSE TRUE
## 9 TRUE TRUE FALSE TRUE FALSE FALSE TRUE TRUE TRUE
## 10 TRUE TRUE FALSE TRUE TRUE FALSE TRUE TRUE TRUE
## 11 TRUE TRUE FALSE TRUE TRUE FALSE TRUE TRUE TRUE
## 12 TRUE TRUE FALSE TRUE TRUE FALSE TRUE TRUE TRUE
## 13 TRUE TRUE FALSE TRUE TRUE FALSE TRUE TRUE TRUE
## 14 TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE
## 15 TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## 16 TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
n=nrow(data.t)
n
## [1] 183
p.m=2:17
sse=sum_sub$rss
sse
## [1] 0.2864076 0.2574112 0.2428890 0.2401432 0.2367131 0.2343460 0.2331725
## [8] 0.2326634 0.2314193 0.2303187 0.2300477 0.2299216 0.2298166 0.2297510
## [15] 0.2297274 0.2297200
aic=n*log(sse)+2*p.m-n*log(n)
aic
## [1] -1178.148 -1195.682 -1204.309 -1204.389 -1205.022 -1204.861 -1203.780
## [8] -1202.180 -1201.161 -1200.033 -1198.249 -1196.349 -1194.433 -1192.485
## [15] -1190.504 -1188.510
bic=n*log(sse)+log(n)*p.m-n*log(n)
bic
## [1] -1171.729 -1186.053 -1191.471 -1188.342 -1185.765 -1182.395 -1178.104
## [8] -1173.294 -1169.066 -1164.729 -1159.735 -1154.626 -1149.500 -1144.343
## [15] -1139.152 -1133.948
res_sub=cbind(sum_sub$which,sse,sum_sub$rsq,sum_sub$adjr2,sum_sub$cp,aic, bic)
fit0=lm(1/data.t$glyhb~1,data=data.t) # fit the model with only intercept
sse1=sum(fit0$residuals^2)
p=1
c1=sse1/0.001384-(n-2*p)
aic1=n*log(sse1)+2*p-n*log(n)
bic1=n*log(sse1)+log(n)*p-n*log(n)
none=c(1,rep(0,16),sse1,0,0,c1,aic1,bic1)
res_sub=rbind(none,res_sub) # combine the results with other models
colnames(res_sub)=c(colnames(sum_sub$which),"sse", "R^2", "R^2_a", "Cp", "aic", "bic")
res_sub
## (Intercept) chol stab.glu hdl ratio locationLouisa age gendermale
## none 1 0 0 0 0 0 0 0
## 1 1 0 1 0 0 0 0 0
## 2 1 0 1 0 0 0 1 0
## 3 1 0 1 0 0 0 1 0
## 4 1 0 1 0 1 0 1 0
## 5 1 0 1 0 1 0 1 0
## 6 1 0 1 0 1 0 1 0
## 7 1 0 1 0 1 0 1 0
## 8 1 0 1 0 1 0 1 0
## 9 1 0 1 0 1 0 1 0
## 10 1 0 1 0 1 0 1 0
## 11 1 1 1 0 1 0 1 0
## 12 1 1 1 0 1 1 1 0
## 13 1 1 1 1 1 1 1 0
## 14 1 1 1 1 1 1 1 0
## 15 1 1 1 1 1 1 1 0
## 16 1 1 1 1 1 1 1 1
## height weight framemedium framesmall bp.1s bp.1d waist hip time.ppn
## none 0 0 0 0 0 0 0 0 0
## 1 0 0 0 0 0 0 0 0 0
## 2 0 0 0 0 0 0 0 0 0
## 3 0 0 0 0 0 0 1 0 0
## 4 0 0 0 0 0 0 1 0 0
## 5 0 0 0 1 0 0 1 0 0
## 6 0 0 0 1 0 0 1 0 1
## 7 0 0 0 1 1 0 1 0 1
## 8 1 0 0 1 1 0 1 0 1
## 9 1 1 0 1 0 0 1 1 1
## 10 1 1 0 1 1 0 1 1 1
## 11 1 1 0 1 1 0 1 1 1
## 12 1 1 0 1 1 0 1 1 1
## 13 1 1 0 1 1 0 1 1 1
## 14 1 1 1 1 1 0 1 1 1
## 15 1 1 1 1 1 1 1 1 1
## 16 1 1 1 1 1 1 1 1 1
## sse R^2 R^2_a Cp aic bic
## none 0.5158646 0.0000000 0.0000000 191.73453170 -1072.466 -1069.256
## 1 0.2864076 0.4448009 0.4417335 27.96351331 -1178.148 -1171.729
## 2 0.2574112 0.5010102 0.4954659 9.01014928 -1195.682 -1186.053
## 3 0.2428890 0.5291612 0.5212701 0.51619889 -1204.309 -1191.471
## 4 0.2401432 0.5344840 0.5240230 0.53201659 -1204.389 -1188.342
## 5 0.2367131 0.5411332 0.5281708 0.05337754 -1205.022 -1185.765
## 6 0.2343460 0.5457220 0.5302352 0.34280455 -1204.861 -1182.395
## 7 0.2331725 0.5479966 0.5299165 1.49487219 -1203.780 -1178.104
## 8 0.2326634 0.5489836 0.5282473 3.12693590 -1202.180 -1173.294
## 9 0.2314193 0.5513952 0.5280574 4.22797088 -1201.161 -1169.066
## 10 0.2303187 0.5535287 0.5275711 5.43265348 -1200.033 -1164.729
## 11 0.2300477 0.5540541 0.5253676 7.23678869 -1198.249 -1159.735
## 12 0.2299216 0.5542986 0.5228374 9.14564365 -1196.349 -1154.626
## 13 0.2298166 0.5545020 0.5202329 11.06983181 -1194.433 -1149.500
## 14 0.2297510 0.5546292 0.5175150 13.02241521 -1192.485 -1144.343
## 15 0.2297274 0.5546751 0.5146758 15.00531267 -1190.504 -1139.152
## 16 0.2297200 0.5546893 0.5117678 17.00000000 -1188.510 -1133.948
#Model 3.1, 3.2, 3.3
#Create qualitative variable framesmall
is.factor(data.t[,11]) #TRUE
## [1] TRUE
summary(data.t$frame)
## large medium small
## 46 89 48
small.index=which(data.t$frame=="small")
small.index #observations of frame = small
## [1] 1 4 6 7 15 16 21 30 33 35 36 40 51 52 64 68 73
## [18] 77 79 81 84 87 92 95 99 100 117 119 120 125 127 132 133 137
## [35] 139 141 146 148 159 162 166 167 168 170 172 177 180 182
#data.t[1:11]
n=dim(data.t)[1]
X11s=rep(0,n)
X11s[small.index]=1 #small = 1, rest are 0
Model3.1=lm(1/data.t$glyhb ~ stab.glu + ratio + age + X11s + waist,data=data.t) #AIC selected
Model3.2=lm(1/data.t$glyhb~.,data=data.t[c(2,7,14)]) #BIC selected
Model3.3=lm(1/data.t$glyhb~ stab.glu + ratio + age + X11s + waist + time.ppn,data=data.t) #AdjR^2 selected
#7
Model4=lm(1/data.t$glyhb~.^2,data=data.t)
length(Model4$coefficients) #136
## [1] 136
summary(Model4)$sigma^2 #0.001036088
## [1] 0.001036088
#8
best = regsubsets(1/data.t$glyhb~., data=data.t, nbest=1, nvmax=16)
fit0=lm(1/mydata$glyhb~1,data=mydata)
fs1=stepAIC(fit0,scope=list(upper=Model4,lower=~1),direction="both",k=2)
## Start: AIC=-2173.55
## 1/mydata$glyhb ~ 1
##
## Df Sum of Sq RSS AIC
## + stab.glu 1 0.39753 0.56182 -2367.4
## + age 1 0.15016 0.80918 -2233.9
## + ratio 1 0.12108 0.83827 -2220.9
## + waist 1 0.09755 0.86180 -2210.8
## + chol 1 0.06358 0.89576 -2196.7
## + bp.1s 1 0.05064 0.90870 -2191.4
## + frame 2 0.05360 0.90574 -2190.6
## + weight 1 0.04583 0.91352 -2189.5
## + hip 1 0.04337 0.91597 -2188.5
## + hdl 1 0.03425 0.92509 -2184.9
## + location 1 0.00655 0.95280 -2174.1
## <none> 0.95934 -2173.6
## + bp.1d 1 0.00296 0.95638 -2172.7
## + gender 1 0.00272 0.95663 -2172.6
## + height 1 0.00179 0.95755 -2172.2
## + time.ppn 1 0.00126 0.95809 -2172.0
##
## Step: AIC=-2367.39
## 1/mydata$glyhb ~ stab.glu
##
## Df Sum of Sq RSS AIC
## + age 1 0.04867 0.51315 -2398.6
## + waist 1 0.02879 0.53303 -2384.6
## + ratio 1 0.02794 0.53388 -2384.1
## + chol 1 0.02247 0.53935 -2380.3
## + bp.1s 1 0.01718 0.54464 -2376.8
## + hip 1 0.01397 0.54785 -2374.6
## + frame 2 0.01656 0.54526 -2374.3
## + weight 1 0.00937 0.55245 -2371.5
## + location 1 0.00582 0.55600 -2369.2
## + hdl 1 0.00529 0.55653 -2368.8
## + time.ppn 1 0.00437 0.55745 -2368.2
## <none> 0.56182 -2367.4
## + bp.1d 1 0.00146 0.56036 -2366.3
## + height 1 0.00009 0.56172 -2365.4
## + gender 1 0.00000 0.56181 -2365.4
## - stab.glu 1 0.39753 0.95934 -2173.6
##
## Step: AIC=-2398.55
## 1/mydata$glyhb ~ stab.glu + age
##
## Df Sum of Sq RSS AIC
## + ratio 1 0.021484 0.49167 -2412.2
## + waist 1 0.021247 0.49190 -2412.0
## + hip 1 0.015214 0.49794 -2407.6
## + weight 1 0.014533 0.49862 -2407.1
## + chol 1 0.011377 0.50177 -2404.8
## + stab.glu:age 1 0.009048 0.50410 -2403.1
## + hdl 1 0.007157 0.50599 -2401.7
## + frame 2 0.008429 0.50472 -2400.6
## + location 1 0.005249 0.50790 -2400.3
## + time.ppn 1 0.004786 0.50836 -2400.0
## <none> 0.51315 -2398.6
## + bp.1s 1 0.001951 0.51120 -2397.9
## + bp.1d 1 0.000695 0.51246 -2397.1
## + height 1 0.000329 0.51282 -2396.8
## + gender 1 0.000145 0.51300 -2396.7
## - age 1 0.048669 0.56182 -2367.4
## - stab.glu 1 0.296034 0.80918 -2233.9
##
## Step: AIC=-2412.21
## 1/mydata$glyhb ~ stab.glu + age + ratio
##
## Df Sum of Sq RSS AIC
## + waist 1 0.012518 0.47915 -2419.7
## + hip 1 0.009782 0.48188 -2417.6
## + weight 1 0.007510 0.48416 -2415.8
## + stab.glu:age 1 0.006913 0.48475 -2415.4
## + time.ppn 1 0.005643 0.48602 -2414.4
## + location 1 0.005310 0.48636 -2414.2
## <none> 0.49167 -2412.2
## + chol 1 0.002031 0.48963 -2411.7
## + bp.1s 1 0.001624 0.49004 -2411.4
## + frame 2 0.003819 0.48785 -2411.1
## + bp.1d 1 0.000526 0.49114 -2410.6
## + hdl 1 0.000494 0.49117 -2410.6
## + gender 1 0.000481 0.49118 -2410.6
## + ratio:age 1 0.000418 0.49125 -2410.5
## + height 1 0.000084 0.49158 -2410.3
## + stab.glu:ratio 1 0.000019 0.49165 -2410.2
## - ratio 1 0.021484 0.51315 -2398.6
## - age 1 0.042214 0.53388 -2384.1
## - stab.glu 1 0.235886 0.72755 -2270.8
##
## Step: AIC=-2419.65
## 1/mydata$glyhb ~ stab.glu + age + ratio + waist
##
## Df Sum of Sq RSS AIC
## + time.ppn 1 0.006461 0.47269 -2422.6
## + stab.glu:age 1 0.005198 0.47395 -2421.6
## + location 1 0.004459 0.47469 -2421.1
## <none> 0.47915 -2419.7
## + chol 1 0.002366 0.47678 -2419.5
## + hdl 1 0.001222 0.47793 -2418.6
## + age:waist 1 0.001068 0.47808 -2418.5
## + ratio:age 1 0.000857 0.47829 -2418.3
## + bp.1s 1 0.000580 0.47857 -2418.1
## + stab.glu:ratio 1 0.000422 0.47872 -2418.0
## + weight 1 0.000341 0.47881 -2417.9
## + ratio:waist 1 0.000284 0.47886 -2417.9
## + gender 1 0.000148 0.47900 -2417.8
## + hip 1 0.000105 0.47904 -2417.7
## + height 1 0.000043 0.47910 -2417.7
## + stab.glu:waist 1 0.000023 0.47912 -2417.7
## + bp.1d 1 0.000013 0.47913 -2417.7
## + frame 2 0.001081 0.47807 -2416.5
## - waist 1 0.012518 0.49167 -2412.2
## - ratio 1 0.012756 0.49190 -2412.0
## - age 1 0.037814 0.51696 -2393.8
## - stab.glu 1 0.218318 0.69746 -2284.2
##
## Step: AIC=-2422.62
## 1/mydata$glyhb ~ stab.glu + age + ratio + waist + time.ppn
##
## Df Sum of Sq RSS AIC
## + stab.glu:time.ppn 1 0.012796 0.45989 -2430.7
## + stab.glu:age 1 0.006412 0.46627 -2425.6
## + age:time.ppn 1 0.004575 0.46811 -2424.2
## + location 1 0.003145 0.46954 -2423.1
## <none> 0.47269 -2422.6
## + chol 1 0.002074 0.47061 -2422.2
## + ratio:time.ppn 1 0.001554 0.47113 -2421.8
## + waist:time.ppn 1 0.001342 0.47134 -2421.7
## + ratio:age 1 0.001195 0.47149 -2421.5
## + hdl 1 0.000919 0.47177 -2421.3
## + bp.1s 1 0.000846 0.47184 -2421.3
## + age:waist 1 0.000698 0.47199 -2421.2
## + ratio:waist 1 0.000627 0.47206 -2421.1
## + weight 1 0.000298 0.47239 -2420.8
## + stab.glu:ratio 1 0.000278 0.47241 -2420.8
## + hip 1 0.000272 0.47241 -2420.8
## + gender 1 0.000230 0.47246 -2420.8
## + bp.1d 1 0.000063 0.47262 -2420.7
## + height 1 0.000044 0.47264 -2420.7
## + stab.glu:waist 1 0.000033 0.47265 -2420.6
## - time.ppn 1 0.006461 0.47915 -2419.7
## + frame 2 0.000972 0.47171 -2419.4
## - ratio 1 0.013240 0.48593 -2414.5
## - waist 1 0.013336 0.48602 -2414.4
## - age 1 0.037995 0.51068 -2396.3
## - stab.glu 1 0.220022 0.69271 -2284.7
##
## Step: AIC=-2430.66
## 1/mydata$glyhb ~ stab.glu + age + ratio + waist + time.ppn +
## stab.glu:time.ppn
##
## Df Sum of Sq RSS AIC
## + stab.glu:age 1 0.0068912 0.45300 -2434.2
## + location 1 0.0041805 0.45571 -2432.0
## <none> 0.45989 -2430.7
## + ratio:age 1 0.0016075 0.45828 -2429.9
## + chol 1 0.0012900 0.45860 -2429.7
## + age:waist 1 0.0011294 0.45876 -2429.6
## + hdl 1 0.0006917 0.45920 -2429.2
## + bp.1s 1 0.0004930 0.45940 -2429.1
## + stab.glu:waist 1 0.0003605 0.45953 -2428.9
## + age:time.ppn 1 0.0003451 0.45954 -2428.9
## + gender 1 0.0002341 0.45966 -2428.8
## + ratio:waist 1 0.0002161 0.45967 -2428.8
## + weight 1 0.0001979 0.45969 -2428.8
## + height 1 0.0001588 0.45973 -2428.8
## + hip 1 0.0001536 0.45974 -2428.8
## + stab.glu:ratio 1 0.0001231 0.45977 -2428.8
## + waist:time.ppn 1 0.0001090 0.45978 -2428.8
## + ratio:time.ppn 1 0.0000166 0.45987 -2428.7
## + bp.1d 1 0.0000007 0.45989 -2428.7
## + frame 2 0.0008481 0.45904 -2427.3
## - ratio 1 0.0109748 0.47086 -2424.0
## - stab.glu:time.ppn 1 0.0127963 0.47269 -2422.6
## - waist 1 0.0134483 0.47334 -2422.1
## - age 1 0.0314933 0.49138 -2408.4
##
## Step: AIC=-2434.19
## 1/mydata$glyhb ~ stab.glu + age + ratio + waist + time.ppn +
## stab.glu:time.ppn + stab.glu:age
##
## Df Sum of Sq RSS AIC
## + location 1 0.0045058 0.44849 -2435.8
## + ratio:age 1 0.0033804 0.44962 -2434.9
## <none> 0.45300 -2434.2
## + age:waist 1 0.0023953 0.45060 -2434.1
## + chol 1 0.0013748 0.45162 -2433.3
## + hdl 1 0.0005891 0.45241 -2432.7
## + stab.glu:waist 1 0.0005647 0.45243 -2432.6
## + weight 1 0.0004238 0.45258 -2432.5
## + bp.1s 1 0.0003646 0.45263 -2432.5
## + stab.glu:ratio 1 0.0002803 0.45272 -2432.4
## + gender 1 0.0002670 0.45273 -2432.4
## + hip 1 0.0002033 0.45280 -2432.3
## + age:time.ppn 1 0.0002023 0.45280 -2432.3
## + ratio:waist 1 0.0001451 0.45285 -2432.3
## + ratio:time.ppn 1 0.0001425 0.45286 -2432.3
## + waist:time.ppn 1 0.0001072 0.45289 -2432.3
## + height 1 0.0000668 0.45293 -2432.2
## + bp.1d 1 0.0000018 0.45300 -2432.2
## + frame 2 0.0010258 0.45197 -2431.0
## - stab.glu:age 1 0.0068912 0.45989 -2430.7
## - ratio 1 0.0100090 0.46301 -2428.2
## - waist 1 0.0115065 0.46451 -2427.0
## - stab.glu:time.ppn 1 0.0132760 0.46627 -2425.6
##
## Step: AIC=-2435.85
## 1/mydata$glyhb ~ stab.glu + age + ratio + waist + time.ppn +
## location + stab.glu:time.ppn + stab.glu:age
##
## Df Sum of Sq RSS AIC
## + ratio:age 1 0.0027567 0.44574 -2436.1
## <none> 0.44849 -2435.8
## + age:waist 1 0.0023081 0.44619 -2435.7
## + chol 1 0.0019434 0.44655 -2435.4
## + location:age 1 0.0013929 0.44710 -2435.0
## + stab.glu:location 1 0.0010891 0.44740 -2434.7
## + hdl 1 0.0006319 0.44786 -2434.4
## + hip 1 0.0006307 0.44786 -2434.4
## + bp.1s 1 0.0004401 0.44805 -2434.2
## + ratio:waist 1 0.0004382 0.44805 -2434.2
## - location 1 0.0045058 0.45300 -2434.2
## + location:time.ppn 1 0.0004075 0.44809 -2434.2
## + weight 1 0.0003523 0.44814 -2434.1
## + age:time.ppn 1 0.0002842 0.44821 -2434.1
## + gender 1 0.0002727 0.44822 -2434.1
## + ratio:location 1 0.0001910 0.44830 -2434.0
## + stab.glu:waist 1 0.0001568 0.44834 -2434.0
## + stab.glu:ratio 1 0.0001204 0.44837 -2433.9
## + ratio:time.ppn 1 0.0000658 0.44843 -2433.9
## + waist:time.ppn 1 0.0000498 0.44844 -2433.9
## + bp.1d 1 0.0000436 0.44845 -2433.9
## + height 1 0.0000000 0.44849 -2433.8
## + location:waist 1 0.0000000 0.44849 -2433.8
## + frame 2 0.0016218 0.44687 -2433.2
## - stab.glu:age 1 0.0072164 0.45571 -2432.0
## - ratio 1 0.0100795 0.45857 -2429.7
## - waist 1 0.0105452 0.45904 -2429.3
## - stab.glu:time.ppn 1 0.0143833 0.46288 -2426.3
##
## Step: AIC=-2436.1
## 1/mydata$glyhb ~ stab.glu + age + ratio + waist + time.ppn +
## location + stab.glu:time.ppn + stab.glu:age + age:ratio
##
## Df Sum of Sq RSS AIC
## <none> 0.44574 -2436.1
## + chol 1 0.0022971 0.44344 -2436.0
## - age:ratio 1 0.0027567 0.44849 -2435.8
## + location:age 1 0.0013776 0.44436 -2435.2
## + age:waist 1 0.0012819 0.44445 -2435.2
## - location 1 0.0038821 0.44962 -2434.9
## + stab.glu:location 1 0.0009367 0.44480 -2434.9
## + ratio:waist 1 0.0007865 0.44495 -2434.8
## + hdl 1 0.0006630 0.44507 -2434.7
## + hip 1 0.0006425 0.44509 -2434.6
## + age:time.ppn 1 0.0004950 0.44524 -2434.5
## + bp.1s 1 0.0003367 0.44540 -2434.4
## + location:time.ppn 1 0.0003007 0.44544 -2434.3
## + waist:time.ppn 1 0.0002507 0.44549 -2434.3
## + weight 1 0.0002421 0.44549 -2434.3
## + gender 1 0.0002393 0.44550 -2434.3
## + ratio:location 1 0.0001658 0.44557 -2434.2
## + stab.glu:waist 1 0.0000677 0.44567 -2434.2
## + bp.1d 1 0.0000440 0.44569 -2434.1
## + ratio:time.ppn 1 0.0000117 0.44572 -2434.1
## + stab.glu:ratio 1 0.0000107 0.44573 -2434.1
## + location:waist 1 0.0000085 0.44573 -2434.1
## + height 1 0.0000014 0.44573 -2434.1
## + frame 2 0.0016783 0.44406 -2433.5
## - stab.glu:age 1 0.0087932 0.45453 -2430.9
## - waist 1 0.0112447 0.45698 -2429.0
## - stab.glu:time.ppn 1 0.0149637 0.46070 -2426.0
# Step: AIC=-2436.1
# 1/mydata$glyhb ~ stab.glu + age + ratio + waist + time.ppn +
# location + stab.glu:time.ppn + stab.glu:age + age:ratio
sse.fs1=sum(fs1$residuals^2)
p.fs1=length(fs1$coefficients)
#9
fs2=stepAIC(Model3,scope=list(upper=Model4,lower=~1),direction="both",k=2)
## Start: AIC=-1188.51
## 1/data.t$glyhb ~ chol + stab.glu + hdl + ratio + location + age +
## gender + height + weight + frame + bp.1s + bp.1d + waist +
## hip + time.ppn
##
## Df Sum of Sq RSS AIC
## + stab.glu:gender 1 0.013316 0.21640 -1197.4
## + location:bp.1d 1 0.010440 0.21928 -1195.0
## + hdl:ratio 1 0.009066 0.22065 -1193.9
## + stab.glu:height 1 0.008303 0.22142 -1193.2
## + location:frame 2 0.009031 0.22069 -1191.8
## + age:bp.1d 1 0.006229 0.22349 -1191.5
## + hip:time.ppn 1 0.005986 0.22373 -1191.3
## - gender 1 0.000007 0.22973 -1190.5
## - bp.1d 1 0.000023 0.22974 -1190.5
## + stab.glu:hip 1 0.004944 0.22478 -1190.5
## - hdl 1 0.000067 0.22979 -1190.5
## - location 1 0.000127 0.22985 -1190.4
## - ratio 1 0.000186 0.22991 -1190.4
## - chol 1 0.000226 0.22995 -1190.3
## - bp.1s 1 0.000699 0.23042 -1190.0
## - hip 1 0.001048 0.23077 -1189.7
## - frame 2 0.003742 0.23346 -1189.5
## + bp.1d:time.ppn 1 0.003542 0.22618 -1189.3
## + bp.1s:waist 1 0.003419 0.22630 -1189.2
## + stab.glu:ratio 1 0.003414 0.22631 -1189.2
## - height 1 0.001612 0.23133 -1189.2
## - weight 1 0.001634 0.23135 -1189.2
## + stab.glu:age 1 0.003176 0.22654 -1189.1
## + hdl:age 1 0.003174 0.22655 -1189.1
## + waist:time.ppn 1 0.003169 0.22655 -1189.0
## + weight:bp.1s 1 0.003017 0.22670 -1188.9
## + location:gender 1 0.002816 0.22690 -1188.8
## + stab.glu:hdl 1 0.002762 0.22696 -1188.7
## + weight:time.ppn 1 0.002702 0.22702 -1188.7
## + hdl:weight 1 0.002629 0.22709 -1188.6
## + gender:height 1 0.002607 0.22711 -1188.6
## + gender:time.ppn 1 0.002600 0.22712 -1188.6
## + bp.1s:hip 1 0.002546 0.22717 -1188.5
## + hdl:frame 2 0.004991 0.22473 -1188.5
## <none> 0.22972 -1188.5
## + bp.1s:time.ppn 1 0.002322 0.22740 -1188.4
## - time.ppn 1 0.002954 0.23267 -1188.2
## + stab.glu:frame 2 0.004473 0.22525 -1188.1
## + location:waist 1 0.001956 0.22776 -1188.1
## + age:gender 1 0.001951 0.22777 -1188.1
## + chol:hdl 1 0.001903 0.22782 -1188.0
## + location:height 1 0.001816 0.22790 -1188.0
## + stab.glu:time.ppn 1 0.001752 0.22797 -1187.9
## + ratio:frame 2 0.004202 0.22552 -1187.9
## + age:time.ppn 1 0.001479 0.22824 -1187.7
## + location:weight 1 0.001458 0.22826 -1187.7
## + hdl:bp.1s 1 0.001450 0.22827 -1187.7
## + hdl:height 1 0.001394 0.22833 -1187.6
## + chol:bp.1d 1 0.001330 0.22839 -1187.6
## - waist 1 0.003764 0.23348 -1187.5
## + location:age 1 0.001204 0.22852 -1187.5
## + age:height 1 0.001173 0.22855 -1187.5
## + height:time.ppn 1 0.001094 0.22863 -1187.4
## + chol:location 1 0.001065 0.22865 -1187.4
## + hdl:hip 1 0.001059 0.22866 -1187.3
## + ratio:location 1 0.001027 0.22869 -1187.3
## + location:hip 1 0.000970 0.22875 -1187.3
## + location:bp.1s 1 0.000911 0.22881 -1187.2
## + ratio:bp.1s 1 0.000859 0.22886 -1187.2
## + stab.glu:bp.1d 1 0.000833 0.22889 -1187.2
## + chol:age 1 0.000810 0.22891 -1187.2
## + ratio:time.ppn 1 0.000794 0.22893 -1187.1
## + hdl:waist 1 0.000792 0.22893 -1187.1
## + location:time.ppn 1 0.000754 0.22897 -1187.1
## + age:hip 1 0.000753 0.22897 -1187.1
## + stab.glu:bp.1s 1 0.000720 0.22900 -1187.1
## + frame:time.ppn 2 0.003188 0.22653 -1187.1
## + chol:weight 1 0.000688 0.22903 -1187.1
## + ratio:height 1 0.000682 0.22904 -1187.0
## + gender:weight 1 0.000622 0.22910 -1187.0
## + ratio:age 1 0.000594 0.22913 -1187.0
## + hdl:time.ppn 1 0.000468 0.22925 -1186.9
## + frame:bp.1d 2 0.002950 0.22677 -1186.9
## + height:bp.1d 1 0.000396 0.22932 -1186.8
## + gender:bp.1s 1 0.000386 0.22933 -1186.8
## + stab.glu:waist 1 0.000357 0.22936 -1186.8
## + chol:waist 1 0.000356 0.22936 -1186.8
## + ratio:weight 1 0.000327 0.22939 -1186.8
## + height:bp.1s 1 0.000306 0.22941 -1186.8
## + ratio:hip 1 0.000306 0.22941 -1186.8
## + bp.1d:waist 1 0.000272 0.22945 -1186.7
## + chol:gender 1 0.000243 0.22948 -1186.7
## + age:bp.1s 1 0.000239 0.22948 -1186.7
## + weight:waist 1 0.000233 0.22949 -1186.7
## + ratio:bp.1d 1 0.000208 0.22951 -1186.7
## + hdl:bp.1d 1 0.000205 0.22952 -1186.7
## + chol:hip 1 0.000194 0.22953 -1186.7
## + gender:hip 1 0.000189 0.22953 -1186.7
## + chol:time.ppn 1 0.000165 0.22955 -1186.6
## + gender:waist 1 0.000162 0.22956 -1186.6
## + height:waist 1 0.000110 0.22961 -1186.6
## + weight:bp.1d 1 0.000104 0.22962 -1186.6
## + height:hip 1 0.000087 0.22963 -1186.6
## + chol:height 1 0.000084 0.22964 -1186.6
## + chol:bp.1s 1 0.000081 0.22964 -1186.6
## + weight:hip 1 0.000077 0.22964 -1186.6
## + bp.1s:bp.1d 1 0.000076 0.22964 -1186.6
## + chol:ratio 1 0.000073 0.22965 -1186.6
## + gender:bp.1d 1 0.000061 0.22966 -1186.6
## + ratio:gender 1 0.000053 0.22967 -1186.5
## + bp.1d:hip 1 0.000046 0.22967 -1186.5
## + stab.glu:weight 1 0.000026 0.22969 -1186.5
## + hdl:location 1 0.000020 0.22970 -1186.5
## + stab.glu:location 1 0.000011 0.22971 -1186.5
## + age:waist 1 0.000002 0.22972 -1186.5
## + age:weight 1 0.000002 0.22972 -1186.5
## + height:weight 1 0.000001 0.22972 -1186.5
## + ratio:waist 1 0.000000 0.22972 -1186.5
## + chol:stab.glu 1 0.000000 0.22972 -1186.5
## + hdl:gender 1 0.000000 0.22972 -1186.5
## + waist:hip 1 0.000000 0.22972 -1186.5
## + gender:frame 2 0.002238 0.22748 -1186.3
## + frame:bp.1s 2 0.001844 0.22788 -1186.0
## + height:frame 2 0.001707 0.22801 -1185.9
## + weight:frame 2 0.001106 0.22861 -1185.4
## + frame:hip 2 0.000433 0.22929 -1184.8
## + frame:waist 2 0.000405 0.22932 -1184.8
## + chol:frame 2 0.000280 0.22944 -1184.7
## + age:frame 2 0.000184 0.22954 -1184.7
## - age 1 0.008615 0.23833 -1183.8
## - stab.glu 1 0.133108 0.36283 -1106.9
##
## Step: AIC=-1197.44
## 1/data.t$glyhb ~ chol + stab.glu + hdl + ratio + location + age +
## gender + height + weight + frame + bp.1s + bp.1d + waist +
## hip + time.ppn + stab.glu:gender
##
## Df Sum of Sq RSS AIC
## + hdl:ratio 1 0.0084204 0.20798 -1202.7
## + location:bp.1d 1 0.0083865 0.20802 -1202.7
## + hip:time.ppn 1 0.0056884 0.21072 -1200.3
## + age:bp.1d 1 0.0053089 0.21110 -1200.0
## + age:gender 1 0.0050948 0.21131 -1199.8
## + location:frame 2 0.0070692 0.20933 -1199.5
## - bp.1d 1 0.0000083 0.21641 -1199.4
## - frame 2 0.0024033 0.21881 -1199.4
## - ratio 1 0.0001054 0.21651 -1199.3
## - hdl 1 0.0001389 0.21654 -1199.3
## - location 1 0.0001432 0.21655 -1199.3
## - chol 1 0.0002597 0.21666 -1199.2
## - bp.1s 1 0.0003308 0.21674 -1199.2
## - hip 1 0.0007172 0.21712 -1198.8
## - height 1 0.0008783 0.21728 -1198.7
## + weight:bp.1s 1 0.0034400 0.21296 -1198.4
## + hdl:age 1 0.0033767 0.21303 -1198.3
## - weight 1 0.0014080 0.21781 -1198.2
## + bp.1s:waist 1 0.0032436 0.21316 -1198.2
## + gender:time.ppn 1 0.0031187 0.21329 -1198.1
## + age:height 1 0.0028808 0.21352 -1197.9
## + gender:height 1 0.0025305 0.21387 -1197.6
## + ratio:frame 2 0.0048365 0.21157 -1197.6
## + bp.1s:hip 1 0.0024857 0.21392 -1197.5
## <none> 0.21640 -1197.4
## + location:height 1 0.0022756 0.21413 -1197.4
## + waist:time.ppn 1 0.0021925 0.21421 -1197.3
## + weight:time.ppn 1 0.0021723 0.21423 -1197.3
## + location:gender 1 0.0021035 0.21430 -1197.2
## + hdl:frame 2 0.0043094 0.21210 -1197.1
## + location:age 1 0.0019565 0.21445 -1197.1
## + bp.1d:time.ppn 1 0.0018977 0.21451 -1197.0
## + stab.glu:time.ppn 1 0.0017554 0.21465 -1196.9
## + ratio:gender 1 0.0016731 0.21473 -1196.9
## + frame:time.ppn 2 0.0039906 0.21241 -1196.8
## + location:waist 1 0.0016390 0.21477 -1196.8
## - time.ppn 1 0.0031476 0.21955 -1196.8
## + chol:hdl 1 0.0015883 0.21482 -1196.8
## + hdl:weight 1 0.0014570 0.21495 -1196.7
## + location:weight 1 0.0013063 0.21510 -1196.5
## + ratio:time.ppn 1 0.0012832 0.21512 -1196.5
## + frame:bp.1d 2 0.0035188 0.21288 -1196.4
## + chol:bp.1d 1 0.0011740 0.21523 -1196.4
## + hdl:time.ppn 1 0.0010625 0.21534 -1196.3
## + ratio:age 1 0.0010118 0.21539 -1196.3
## + hdl:bp.1s 1 0.0010038 0.21540 -1196.3
## + hdl:hip 1 0.0009764 0.21543 -1196.3
## + height:time.ppn 1 0.0009411 0.21546 -1196.2
## + hdl:height 1 0.0009014 0.21550 -1196.2
## + stab.glu:age 1 0.0008895 0.21552 -1196.2
## + bp.1s:time.ppn 1 0.0008695 0.21554 -1196.2
## + stab.glu:location 1 0.0008547 0.21555 -1196.2
## + age:hip 1 0.0008399 0.21556 -1196.2
## + location:hip 1 0.0008108 0.21559 -1196.1
## + stab.glu:weight 1 0.0007752 0.21563 -1196.1
## + location:time.ppn 1 0.0007389 0.21566 -1196.1
## + hdl:gender 1 0.0006902 0.21571 -1196.0
## + stab.glu:hip 1 0.0006334 0.21577 -1196.0
## + ratio:hip 1 0.0005565 0.21585 -1195.9
## + chol:ratio 1 0.0005389 0.21587 -1195.9
## + stab.glu:waist 1 0.0005335 0.21587 -1195.9
## + chol:location 1 0.0005200 0.21588 -1195.9
## + age:time.ppn 1 0.0005033 0.21590 -1195.9
## + chol:age 1 0.0004955 0.21591 -1195.9
## + stab.glu:ratio 1 0.0004899 0.21591 -1195.8
## + stab.glu:bp.1s 1 0.0004772 0.21593 -1195.8
## + chol:weight 1 0.0004702 0.21593 -1195.8
## + ratio:location 1 0.0004632 0.21594 -1195.8
## + hdl:bp.1d 1 0.0004492 0.21596 -1195.8
## + age:bp.1s 1 0.0004413 0.21596 -1195.8
## + ratio:bp.1s 1 0.0004335 0.21597 -1195.8
## - waist 1 0.0043495 0.22075 -1195.8
## + frame:bp.1s 2 0.0027402 0.21366 -1195.8
## + weight:hip 1 0.0003061 0.21610 -1195.7
## + location:bp.1s 1 0.0002419 0.21616 -1195.6
## + weight:bp.1d 1 0.0002228 0.21618 -1195.6
## + bp.1d:waist 1 0.0002224 0.21618 -1195.6
## + stab.glu:bp.1d 1 0.0002046 0.21620 -1195.6
## + ratio:waist 1 0.0001805 0.21622 -1195.6
## + bp.1s:bp.1d 1 0.0001805 0.21622 -1195.6
## + gender:waist 1 0.0001645 0.21624 -1195.6
## + ratio:height 1 0.0001235 0.21628 -1195.5
## + stab.glu:height 1 0.0001111 0.21629 -1195.5
## + height:weight 1 0.0001101 0.21629 -1195.5
## + chol:waist 1 0.0001098 0.21629 -1195.5
## + hdl:waist 1 0.0000996 0.21630 -1195.5
## + gender:hip 1 0.0000894 0.21632 -1195.5
## + chol:bp.1s 1 0.0000564 0.21635 -1195.5
## + gender:bp.1s 1 0.0000555 0.21635 -1195.5
## + age:weight 1 0.0000479 0.21636 -1195.5
## + height:bp.1d 1 0.0000467 0.21636 -1195.5
## + gender:bp.1d 1 0.0000457 0.21636 -1195.5
## + height:waist 1 0.0000441 0.21636 -1195.5
## + ratio:bp.1d 1 0.0000431 0.21636 -1195.5
## + gender:weight 1 0.0000428 0.21636 -1195.5
## + ratio:weight 1 0.0000285 0.21638 -1195.5
## + age:waist 1 0.0000267 0.21638 -1195.5
## + height:bp.1s 1 0.0000202 0.21638 -1195.5
## + waist:hip 1 0.0000118 0.21639 -1195.5
## + height:hip 1 0.0000089 0.21640 -1195.4
## + chol:gender 1 0.0000080 0.21640 -1195.4
## + chol:time.ppn 1 0.0000062 0.21640 -1195.4
## + weight:waist 1 0.0000060 0.21640 -1195.4
## + stab.glu:hdl 1 0.0000048 0.21640 -1195.4
## + bp.1d:hip 1 0.0000039 0.21640 -1195.4
## + hdl:location 1 0.0000016 0.21640 -1195.4
## + chol:stab.glu 1 0.0000015 0.21640 -1195.4
## + chol:height 1 0.0000002 0.21640 -1195.4
## + chol:hip 1 0.0000001 0.21640 -1195.4
## + stab.glu:frame 2 0.0011029 0.21530 -1194.4
## + height:frame 2 0.0007562 0.21565 -1194.1
## + gender:frame 2 0.0007060 0.21570 -1194.0
## + age:frame 2 0.0005657 0.21584 -1193.9
## + weight:frame 2 0.0002565 0.21615 -1193.7
## + chol:frame 2 0.0001016 0.21630 -1193.5
## + frame:waist 2 0.0000261 0.21638 -1193.5
## + frame:hip 2 0.0000228 0.21638 -1193.5
## - age 1 0.0075980 0.22400 -1193.1
## - stab.glu:gender 1 0.0133158 0.22972 -1188.5
##
## Step: AIC=-1202.7
## 1/data.t$glyhb ~ chol + stab.glu + hdl + ratio + location + age +
## gender + height + weight + frame + bp.1s + bp.1d + waist +
## hip + time.ppn + stab.glu:gender + hdl:ratio
##
## Df Sum of Sq RSS AIC
## + age:bp.1d 1 0.0066240 0.20136 -1206.6
## + location:bp.1d 1 0.0062980 0.20169 -1206.3
## + hip:time.ppn 1 0.0061325 0.20185 -1206.2
## + age:gender 1 0.0052330 0.20275 -1205.4
## - frame 2 0.0021759 0.21016 -1204.8
## - location 1 0.0000177 0.20800 -1204.7
## - bp.1d 1 0.0000425 0.20803 -1204.7
## - bp.1s 1 0.0001242 0.20811 -1204.6
## + bp.1s:waist 1 0.0037788 0.20420 -1204.1
## + location:frame 2 0.0059823 0.20200 -1204.0
## - hip 1 0.0007903 0.20877 -1204.0
## - height 1 0.0008339 0.20882 -1204.0
## + weight:bp.1s 1 0.0034543 0.20453 -1203.8
## + gender:time.ppn 1 0.0032724 0.20471 -1203.6
## + age:height 1 0.0032026 0.20478 -1203.5
## + bp.1s:hip 1 0.0027055 0.20528 -1203.1
## - weight 1 0.0018973 0.20988 -1203.0
## + gender:height 1 0.0024738 0.20551 -1202.9
## + weight:time.ppn 1 0.0024018 0.20558 -1202.8
## + location:height 1 0.0023548 0.20563 -1202.8
## <none> 0.20798 -1202.7
## + waist:time.ppn 1 0.0022571 0.20573 -1202.7
## + stab.glu:time.ppn 1 0.0021778 0.20581 -1202.6
## + location:age 1 0.0019126 0.20607 -1202.4
## + hdl:age 1 0.0018868 0.20610 -1202.4
## + hdl:weight 1 0.0018345 0.20615 -1202.3
## + location:gender 1 0.0017888 0.20619 -1202.3
## - time.ppn 1 0.0028082 0.21079 -1202.2
## + chol:bp.1d 1 0.0014464 0.20654 -1202.0
## + bp.1d:time.ppn 1 0.0014099 0.20657 -1201.9
## + hdl:hip 1 0.0013941 0.20659 -1201.9
## + hdl:time.ppn 1 0.0013905 0.20659 -1201.9
## + ratio:time.ppn 1 0.0013862 0.20660 -1201.9
## + ratio:gender 1 0.0012507 0.20673 -1201.8
## + stab.glu:age 1 0.0012051 0.20678 -1201.8
## + age:hip 1 0.0011783 0.20680 -1201.7
## + height:time.ppn 1 0.0011755 0.20681 -1201.7
## + location:waist 1 0.0011440 0.20684 -1201.7
## + frame:time.ppn 2 0.0033494 0.20463 -1201.7
## + bp.1s:time.ppn 1 0.0010938 0.20689 -1201.7
## + location:weight 1 0.0010671 0.20692 -1201.6
## + ratio:frame 2 0.0033055 0.20468 -1201.6
## + stab.glu:location 1 0.0010529 0.20693 -1201.6
## + location:time.ppn 1 0.0008703 0.20711 -1201.5
## + chol:hdl 1 0.0008679 0.20712 -1201.5
## + hdl:gender 1 0.0008666 0.20712 -1201.5
## + ratio:age 1 0.0008625 0.20712 -1201.5
## + age:bp.1s 1 0.0007421 0.20724 -1201.3
## + stab.glu:weight 1 0.0007413 0.20724 -1201.3
## + ratio:hip 1 0.0007105 0.20727 -1201.3
## + frame:bp.1s 2 0.0029112 0.20507 -1201.3
## + stab.glu:hip 1 0.0006086 0.20738 -1201.2
## + location:hip 1 0.0006083 0.20738 -1201.2
## + hdl:bp.1s 1 0.0005989 0.20739 -1201.2
## + stab.glu:bp.1s 1 0.0005938 0.20739 -1201.2
## + age:time.ppn 1 0.0005571 0.20743 -1201.2
## + stab.glu:ratio 1 0.0005483 0.20744 -1201.2
## + chol:ratio 1 0.0005356 0.20745 -1201.2
## + stab.glu:waist 1 0.0005037 0.20748 -1201.1
## + ratio:bp.1s 1 0.0004607 0.20752 -1201.1
## + hdl:waist 1 0.0003910 0.20759 -1201.0
## + chol:weight 1 0.0003648 0.20762 -1201.0
## + hdl:height 1 0.0003579 0.20763 -1201.0
## + hdl:bp.1d 1 0.0003567 0.20763 -1201.0
## + chol:location 1 0.0003490 0.20763 -1201.0
## + weight:hip 1 0.0003283 0.20766 -1201.0
## + weight:bp.1d 1 0.0002943 0.20769 -1201.0
## + height:weight 1 0.0002921 0.20769 -1201.0
## + bp.1d:waist 1 0.0002852 0.20770 -1201.0
## + stab.glu:bp.1d 1 0.0002552 0.20773 -1200.9
## + height:bp.1d 1 0.0002389 0.20775 -1200.9
## + location:bp.1s 1 0.0002076 0.20778 -1200.9
## + frame:bp.1d 2 0.0024593 0.20552 -1200.9
## + ratio:weight 1 0.0001892 0.20780 -1200.9
## + hdl:frame 2 0.0024465 0.20554 -1200.9
## + ratio:location 1 0.0001751 0.20781 -1200.8
## + height:waist 1 0.0001517 0.20783 -1200.8
## + ratio:height 1 0.0001510 0.20783 -1200.8
## + chol:age 1 0.0001486 0.20783 -1200.8
## + gender:weight 1 0.0001453 0.20784 -1200.8
## + chol:bp.1s 1 0.0001352 0.20785 -1200.8
## + chol:waist 1 0.0001078 0.20788 -1200.8
## + gender:bp.1d 1 0.0000677 0.20792 -1200.8
## + stab.glu:hdl 1 0.0000667 0.20792 -1200.8
## + height:hip 1 0.0000629 0.20792 -1200.8
## + chol:gender 1 0.0000579 0.20793 -1200.8
## + stab.glu:height 1 0.0000574 0.20793 -1200.8
## + gender:waist 1 0.0000560 0.20793 -1200.8
## + height:bp.1s 1 0.0000513 0.20793 -1200.8
## + chol:height 1 0.0000276 0.20796 -1200.7
## + gender:hip 1 0.0000227 0.20796 -1200.7
## + bp.1s:bp.1d 1 0.0000174 0.20797 -1200.7
## + gender:bp.1s 1 0.0000130 0.20797 -1200.7
## + ratio:bp.1d 1 0.0000118 0.20797 -1200.7
## + hdl:location 1 0.0000113 0.20797 -1200.7
## + chol:stab.glu 1 0.0000074 0.20798 -1200.7
## + waist:hip 1 0.0000067 0.20798 -1200.7
## + ratio:waist 1 0.0000049 0.20798 -1200.7
## + chol:time.ppn 1 0.0000045 0.20798 -1200.7
## + chol:hip 1 0.0000023 0.20798 -1200.7
## + bp.1d:hip 1 0.0000023 0.20798 -1200.7
## + weight:waist 1 0.0000010 0.20798 -1200.7
## + age:weight 1 0.0000008 0.20798 -1200.7
## + age:waist 1 0.0000004 0.20798 -1200.7
## + stab.glu:frame 2 0.0015619 0.20642 -1200.1
## - waist 1 0.0053425 0.21333 -1200.1
## + age:frame 2 0.0007778 0.20721 -1199.4
## + height:frame 2 0.0006426 0.20734 -1199.3
## + gender:frame 2 0.0006247 0.20736 -1199.2
## + weight:frame 2 0.0004987 0.20749 -1199.1
## + frame:hip 2 0.0001227 0.20786 -1198.8
## + chol:frame 2 0.0001021 0.20788 -1198.8
## + frame:waist 2 0.0000890 0.20789 -1198.8
## - age 1 0.0072683 0.21525 -1198.4
## - hdl:ratio 1 0.0084204 0.21640 -1197.4
## - chol 1 0.0086658 0.21665 -1197.2
## - stab.glu:gender 1 0.0126700 0.22065 -1193.9
##
## Step: AIC=-1206.62
## 1/data.t$glyhb ~ chol + stab.glu + hdl + ratio + location + age +
## gender + height + weight + frame + bp.1s + bp.1d + waist +
## hip + time.ppn + stab.glu:gender + hdl:ratio + age:bp.1d
##
## Df Sum of Sq RSS AIC
## + age:gender 1 0.0050627 0.19630 -1209.3
## - frame 2 0.0015250 0.20289 -1209.2
## + weight:bp.1s 1 0.0046776 0.19668 -1208.9
## - bp.1s 1 0.0000112 0.20137 -1208.6
## - location 1 0.0001073 0.20147 -1208.5
## + location:bp.1d 1 0.0042469 0.19711 -1208.5
## + age:height 1 0.0041765 0.19718 -1208.5
## + hip:time.ppn 1 0.0040505 0.19731 -1208.3
## - hip 1 0.0005672 0.20193 -1208.1
## + age:hip 1 0.0034850 0.19787 -1207.8
## - weight 1 0.0009935 0.20235 -1207.7
## + bp.1s:waist 1 0.0032217 0.19814 -1207.6
## + bp.1s:hip 1 0.0031591 0.19820 -1207.5
## - height 1 0.0012873 0.20265 -1207.5
## + hdl:weight 1 0.0029073 0.19845 -1207.3
## + gender:time.ppn 1 0.0026730 0.19869 -1207.1
## + location:frame 2 0.0048034 0.19656 -1207.0
## + location:height 1 0.0024923 0.19887 -1206.9
## + stab.glu:time.ppn 1 0.0024755 0.19888 -1206.9
## + gender:height 1 0.0024186 0.19894 -1206.8
## + hdl:age 1 0.0024177 0.19894 -1206.8
## <none> 0.20136 -1206.6
## + hdl:hip 1 0.0020610 0.19930 -1206.5
## + hdl:time.ppn 1 0.0019768 0.19938 -1206.4
## - time.ppn 1 0.0024991 0.20386 -1206.4
## + ratio:time.ppn 1 0.0018381 0.19952 -1206.3
## + stab.glu:age 1 0.0018082 0.19955 -1206.3
## + height:time.ppn 1 0.0014762 0.19988 -1206.0
## + location:waist 1 0.0013968 0.19996 -1205.9
## + bp.1s:time.ppn 1 0.0013962 0.19996 -1205.9
## + ratio:gender 1 0.0013519 0.20001 -1205.9
## + stab.glu:location 1 0.0013423 0.20002 -1205.8
## + chol:hdl 1 0.0013342 0.20003 -1205.8
## + weight:bp.1d 1 0.0012644 0.20009 -1205.8
## + stab.glu:bp.1s 1 0.0012189 0.20014 -1205.7
## + ratio:hip 1 0.0012133 0.20015 -1205.7
## + location:gender 1 0.0011564 0.20020 -1205.7
## + waist:time.ppn 1 0.0011211 0.20024 -1205.6
## + weight:time.ppn 1 0.0010782 0.20028 -1205.6
## + hdl:gender 1 0.0009595 0.20040 -1205.5
## + frame:time.ppn 2 0.0031340 0.19823 -1205.5
## + chol:age 1 0.0009468 0.20041 -1205.5
## + stab.glu:ratio 1 0.0009426 0.20042 -1205.5
## + hdl:bp.1s 1 0.0009117 0.20045 -1205.5
## + weight:hip 1 0.0009048 0.20045 -1205.5
## + age:time.ppn 1 0.0008694 0.20049 -1205.4
## + location:weight 1 0.0008329 0.20053 -1205.4
## + location:time.ppn 1 0.0007592 0.20060 -1205.3
## + location:age 1 0.0007570 0.20060 -1205.3
## + hdl:waist 1 0.0007361 0.20062 -1205.3
## + chol:weight 1 0.0007314 0.20063 -1205.3
## + height:weight 1 0.0006704 0.20069 -1205.2
## + bp.1d:time.ppn 1 0.0006533 0.20071 -1205.2
## + ratio:age 1 0.0006308 0.20073 -1205.2
## + location:hip 1 0.0006115 0.20075 -1205.2
## + chol:ratio 1 0.0005290 0.20083 -1205.1
## + age:weight 1 0.0005122 0.20085 -1205.1
## + stab.glu:hip 1 0.0004823 0.20088 -1205.1
## + height:waist 1 0.0004816 0.20088 -1205.1
## + ratio:weight 1 0.0004675 0.20089 -1205.0
## + age:bp.1s 1 0.0004625 0.20090 -1205.0
## + stab.glu:weight 1 0.0004112 0.20095 -1205.0
## + chol:location 1 0.0003967 0.20096 -1205.0
## + gender:waist 1 0.0003831 0.20098 -1205.0
## + hdl:height 1 0.0003819 0.20098 -1205.0
## + bp.1s:bp.1d 1 0.0003741 0.20099 -1205.0
## + age:waist 1 0.0003479 0.20101 -1204.9
## + bp.1d:hip 1 0.0003426 0.20102 -1204.9
## + bp.1d:waist 1 0.0002820 0.20108 -1204.9
## + height:hip 1 0.0002668 0.20109 -1204.9
## + gender:hip 1 0.0002465 0.20111 -1204.8
## + location:bp.1s 1 0.0002354 0.20112 -1204.8
## + hdl:bp.1d 1 0.0002337 0.20113 -1204.8
## + stab.glu:waist 1 0.0002243 0.20114 -1204.8
## + chol:bp.1d 1 0.0002163 0.20114 -1204.8
## + ratio:bp.1d 1 0.0001800 0.20118 -1204.8
## + frame:bp.1s 2 0.0023636 0.19900 -1204.8
## + stab.glu:height 1 0.0001762 0.20118 -1204.8
## + chol:bp.1s 1 0.0001625 0.20120 -1204.8
## + height:bp.1s 1 0.0001430 0.20122 -1204.8
## + chol:waist 1 0.0000890 0.20127 -1204.7
## + ratio:bp.1s 1 0.0000854 0.20127 -1204.7
## + stab.glu:hdl 1 0.0000723 0.20129 -1204.7
## + chol:height 1 0.0000585 0.20130 -1204.7
## + hdl:location 1 0.0000561 0.20130 -1204.7
## + gender:bp.1s 1 0.0000474 0.20131 -1204.7
## + weight:waist 1 0.0000453 0.20131 -1204.7
## + chol:gender 1 0.0000446 0.20131 -1204.7
## + waist:hip 1 0.0000439 0.20132 -1204.7
## + ratio:waist 1 0.0000378 0.20132 -1204.7
## + ratio:location 1 0.0000371 0.20132 -1204.7
## + ratio:height 1 0.0000318 0.20133 -1204.7
## + chol:stab.glu 1 0.0000145 0.20134 -1204.6
## + gender:weight 1 0.0000128 0.20135 -1204.6
## + chol:time.ppn 1 0.0000065 0.20135 -1204.6
## + chol:hip 1 0.0000035 0.20136 -1204.6
## + gender:bp.1d 1 0.0000033 0.20136 -1204.6
## + stab.glu:bp.1d 1 0.0000025 0.20136 -1204.6
## + height:bp.1d 1 0.0000001 0.20136 -1204.6
## + hdl:frame 2 0.0020676 0.19929 -1204.5
## + ratio:frame 2 0.0020285 0.19933 -1204.5
## - waist 1 0.0046422 0.20600 -1204.5
## + frame:bp.1d 2 0.0018980 0.19946 -1204.4
## + stab.glu:frame 2 0.0013272 0.20003 -1203.8
## + weight:frame 2 0.0012053 0.20015 -1203.7
## + age:frame 2 0.0007673 0.20059 -1203.3
## + height:frame 2 0.0006494 0.20071 -1203.2
## + frame:hip 2 0.0005575 0.20080 -1203.1
## + frame:waist 2 0.0004982 0.20086 -1203.1
## + gender:frame 2 0.0002615 0.20110 -1202.9
## - age:bp.1d 1 0.0066240 0.20798 -1202.7
## + chol:frame 2 0.0000468 0.20131 -1202.7
## - chol 1 0.0096728 0.21103 -1200.0
## - hdl:ratio 1 0.0097356 0.21110 -1200.0
## - stab.glu:gender 1 0.0116206 0.21298 -1198.4
##
## Step: AIC=-1209.28
## 1/data.t$glyhb ~ chol + stab.glu + hdl + ratio + location + age +
## gender + height + weight + frame + bp.1s + bp.1d + waist +
## hip + time.ppn + stab.glu:gender + hdl:ratio + age:bp.1d +
## age:gender
##
## Df Sum of Sq RSS AIC
## + weight:bp.1s 1 0.0047056 0.19159 -1211.7
## + bp.1s:waist 1 0.0046597 0.19164 -1211.7
## + gender:height 1 0.0045363 0.19176 -1211.6
## + bp.1s:hip 1 0.0044571 0.19184 -1211.5
## - frame 2 0.0022196 0.19852 -1211.2
## - location 1 0.0002131 0.19651 -1211.1
## - bp.1s 1 0.0002720 0.19657 -1211.0
## + hip:time.ppn 1 0.0038394 0.19246 -1210.9
## - hip 1 0.0006108 0.19691 -1210.7
## + location:bp.1d 1 0.0036200 0.19268 -1210.7
## - weight 1 0.0009175 0.19721 -1210.4
## + hdl:weight 1 0.0033151 0.19298 -1210.4
## + location:frame 2 0.0050082 0.19129 -1210.0
## + hdl:time.ppn 1 0.0026371 0.19366 -1209.8
## + stab.glu:time.ppn 1 0.0025228 0.19377 -1209.7
## + hdl:hip 1 0.0022782 0.19402 -1209.4
## + location:height 1 0.0022705 0.19403 -1209.4
## + weight:bp.1d 1 0.0022289 0.19407 -1209.4
## - height 1 0.0020852 0.19838 -1209.3
## <none> 0.19630 -1209.3
## + gender:time.ppn 1 0.0020907 0.19421 -1209.2
## + ratio:time.ppn 1 0.0017824 0.19451 -1209.0
## + bp.1s:time.ppn 1 0.0017522 0.19454 -1208.9
## + location:waist 1 0.0016458 0.19465 -1208.8
## + stab.glu:age 1 0.0016431 0.19465 -1208.8
## + hdl:age 1 0.0015928 0.19470 -1208.8
## + stab.glu:location 1 0.0013369 0.19496 -1208.5
## + age:hip 1 0.0013223 0.19498 -1208.5
## + stab.glu:ratio 1 0.0013096 0.19499 -1208.5
## + hdl:waist 1 0.0011391 0.19516 -1208.3
## + stab.glu:bp.1s 1 0.0011130 0.19518 -1208.3
## + chol:hdl 1 0.0010450 0.19525 -1208.3
## + height:time.ppn 1 0.0010367 0.19526 -1208.2
## + location:weight 1 0.0010043 0.19529 -1208.2
## + waist:time.ppn 1 0.0009778 0.19532 -1208.2
## + weight:time.ppn 1 0.0009738 0.19532 -1208.2
## + height:weight 1 0.0009290 0.19537 -1208.2
## + bp.1d:waist 1 0.0009102 0.19539 -1208.1
## + chol:weight 1 0.0008911 0.19541 -1208.1
## + location:gender 1 0.0008698 0.19543 -1208.1
## + ratio:hip 1 0.0008689 0.19543 -1208.1
## + gender:bp.1s 1 0.0008373 0.19546 -1208.1
## + weight:hip 1 0.0008208 0.19548 -1208.0
## + bp.1s:bp.1d 1 0.0008178 0.19548 -1208.0
## + age:time.ppn 1 0.0007660 0.19553 -1208.0
## + location:hip 1 0.0007497 0.19555 -1208.0
## + chol:age 1 0.0007273 0.19557 -1208.0
## + hdl:bp.1s 1 0.0007141 0.19558 -1208.0
## + bp.1d:hip 1 0.0007093 0.19559 -1208.0
## + hdl:gender 1 0.0007070 0.19559 -1207.9
## + chol:location 1 0.0006917 0.19561 -1207.9
## + bp.1d:time.ppn 1 0.0006830 0.19561 -1207.9
## + location:age 1 0.0006828 0.19561 -1207.9
## + age:weight 1 0.0006278 0.19567 -1207.9
## + ratio:gender 1 0.0005832 0.19571 -1207.8
## + frame:time.ppn 2 0.0027030 0.19359 -1207.8
## + age:height 1 0.0005156 0.19578 -1207.8
## - time.ppn 1 0.0038582 0.20015 -1207.7
## + ratio:weight 1 0.0004570 0.19584 -1207.7
## + chol:ratio 1 0.0004241 0.19587 -1207.7
## + chol:gender 1 0.0004140 0.19588 -1207.7
## + location:time.ppn 1 0.0004082 0.19589 -1207.7
## + hdl:height 1 0.0003903 0.19591 -1207.7
## + stab.glu:hip 1 0.0003807 0.19592 -1207.6
## + stab.glu:height 1 0.0003751 0.19592 -1207.6
## + stab.glu:weight 1 0.0003749 0.19592 -1207.6
## + frame:bp.1s 2 0.0024294 0.19387 -1207.6
## + ratio:age 1 0.0002576 0.19604 -1207.5
## + gender:hip 1 0.0002366 0.19606 -1207.5
## + stab.glu:waist 1 0.0002299 0.19607 -1207.5
## + chol:waist 1 0.0002185 0.19608 -1207.5
## + chol:stab.glu 1 0.0002074 0.19609 -1207.5
## + hdl:location 1 0.0001765 0.19612 -1207.5
## + location:bp.1s 1 0.0001581 0.19614 -1207.4
## + chol:hip 1 0.0001578 0.19614 -1207.4
## + chol:bp.1s 1 0.0001575 0.19614 -1207.4
## + age:waist 1 0.0001471 0.19615 -1207.4
## + hdl:frame 2 0.0022789 0.19402 -1207.4
## + ratio:height 1 0.0001435 0.19615 -1207.4
## + chol:bp.1d 1 0.0001333 0.19616 -1207.4
## + chol:time.ppn 1 0.0001092 0.19619 -1207.4
## + weight:waist 1 0.0000877 0.19621 -1207.4
## + waist:hip 1 0.0000808 0.19622 -1207.4
## + height:hip 1 0.0000753 0.19622 -1207.3
## + height:waist 1 0.0000707 0.19623 -1207.3
## + ratio:waist 1 0.0000598 0.19624 -1207.3
## + ratio:bp.1d 1 0.0000451 0.19625 -1207.3
## + hdl:bp.1d 1 0.0000350 0.19626 -1207.3
## + ratio:bp.1s 1 0.0000316 0.19626 -1207.3
## + ratio:location 1 0.0000315 0.19627 -1207.3
## + gender:waist 1 0.0000259 0.19627 -1207.3
## + gender:weight 1 0.0000171 0.19628 -1207.3
## + age:bp.1s 1 0.0000159 0.19628 -1207.3
## + stab.glu:hdl 1 0.0000150 0.19628 -1207.3
## + stab.glu:bp.1d 1 0.0000072 0.19629 -1207.3
## + height:bp.1s 1 0.0000069 0.19629 -1207.3
## + gender:bp.1d 1 0.0000006 0.19630 -1207.3
## + chol:height 1 0.0000002 0.19630 -1207.3
## + height:bp.1d 1 0.0000001 0.19630 -1207.3
## - waist 1 0.0043434 0.20064 -1207.3
## + height:frame 2 0.0019412 0.19436 -1207.1
## + ratio:frame 2 0.0018534 0.19444 -1207.0
## + frame:bp.1d 2 0.0015534 0.19474 -1206.7
## - age:gender 1 0.0050627 0.20136 -1206.6
## + gender:frame 2 0.0013478 0.19495 -1206.5
## + weight:frame 2 0.0012716 0.19503 -1206.5
## + stab.glu:frame 2 0.0008532 0.19544 -1206.1
## + frame:waist 2 0.0003402 0.19596 -1205.6
## + frame:hip 2 0.0002473 0.19605 -1205.5
## + age:frame 2 0.0002311 0.19607 -1205.5
## - age:bp.1d 1 0.0064538 0.20275 -1205.4
## + chol:frame 2 0.0000740 0.19622 -1205.3
## - hdl:ratio 1 0.0098628 0.20616 -1202.3
## - chol 1 0.0102327 0.20653 -1202.0
## - stab.glu:gender 1 0.0146028 0.21090 -1198.2
##
## Step: AIC=-1211.72
## 1/data.t$glyhb ~ chol + stab.glu + hdl + ratio + location + age +
## gender + height + weight + frame + bp.1s + bp.1d + waist +
## hip + time.ppn + stab.glu:gender + hdl:ratio + age:bp.1d +
## age:gender + weight:bp.1s
##
## Df Sum of Sq RSS AIC
## - frame 2 0.0020849 0.19368 -1213.7
## - location 1 0.0002786 0.19187 -1213.5
## + hip:time.ppn 1 0.0038096 0.18778 -1213.4
## + gender:height 1 0.0037170 0.18787 -1213.3
## + age:hip 1 0.0035476 0.18804 -1213.1
## + location:frame 2 0.0051857 0.18641 -1212.7
## + location:bp.1d 1 0.0030358 0.18856 -1212.7
## - hip 1 0.0014213 0.19301 -1212.4
## - height 1 0.0015686 0.19316 -1212.2
## + age:weight 1 0.0025318 0.18906 -1212.2
## + location:height 1 0.0024565 0.18913 -1212.1
## + stab.glu:bp.1s 1 0.0023690 0.18922 -1212.0
## + location:waist 1 0.0023442 0.18925 -1212.0
## + stab.glu:age 1 0.0023296 0.18926 -1212.0
## + stab.glu:time.ppn 1 0.0022933 0.18930 -1211.9
## + hdl:time.ppn 1 0.0021146 0.18948 -1211.8
## <none> 0.19159 -1211.7
## + gender:time.ppn 1 0.0019502 0.18964 -1211.6
## + stab.glu:location 1 0.0018356 0.18976 -1211.5
## + stab.glu:ratio 1 0.0017582 0.18983 -1211.4
## + hdl:weight 1 0.0017345 0.18986 -1211.4
## + bp.1s:time.ppn 1 0.0015392 0.19005 -1211.2
## + location:weight 1 0.0015291 0.19006 -1211.2
## + hdl:hip 1 0.0014288 0.19016 -1211.1
## + age:waist 1 0.0013683 0.19022 -1211.0
## + ratio:time.ppn 1 0.0012763 0.19032 -1211.0
## + waist:time.ppn 1 0.0012158 0.19038 -1210.9
## + weight:time.ppn 1 0.0011676 0.19042 -1210.8
## + frame:time.ppn 2 0.0032273 0.18836 -1210.8
## - waist 1 0.0030536 0.19465 -1210.8
## + location:gender 1 0.0010970 0.19049 -1210.8
## + location:hip 1 0.0010774 0.19051 -1210.8
## + age:time.ppn 1 0.0010492 0.19054 -1210.7
## + height:time.ppn 1 0.0007966 0.19079 -1210.5
## + height:weight 1 0.0007839 0.19081 -1210.5
## + hdl:gender 1 0.0007352 0.19086 -1210.4
## + chol:age 1 0.0007284 0.19086 -1210.4
## + hdl:age 1 0.0006410 0.19095 -1210.3
## + gender:bp.1s 1 0.0006363 0.19096 -1210.3
## + chol:location 1 0.0006265 0.19096 -1210.3
## + location:age 1 0.0005314 0.19106 -1210.2
## + height:bp.1s 1 0.0005291 0.19106 -1210.2
## + chol:weight 1 0.0005008 0.19109 -1210.2
## + bp.1s:bp.1d 1 0.0004902 0.19110 -1210.2
## + ratio:hip 1 0.0004822 0.19111 -1210.2
## + ratio:gender 1 0.0004491 0.19114 -1210.2
## + bp.1s:waist 1 0.0004410 0.19115 -1210.2
## + location:time.ppn 1 0.0004363 0.19115 -1210.1
## + ratio:bp.1d 1 0.0004030 0.19119 -1210.1
## + ratio:bp.1s 1 0.0004013 0.19119 -1210.1
## + chol:gender 1 0.0003885 0.19120 -1210.1
## + weight:hip 1 0.0003826 0.19121 -1210.1
## - time.ppn 1 0.0038485 0.19544 -1210.1
## + hdl:bp.1d 1 0.0003677 0.19122 -1210.1
## + stab.glu:height 1 0.0003618 0.19123 -1210.1
## + bp.1s:hip 1 0.0003593 0.19123 -1210.1
## + chol:stab.glu 1 0.0003576 0.19123 -1210.1
## + hdl:waist 1 0.0003384 0.19125 -1210.0
## + chol:hdl 1 0.0003209 0.19127 -1210.0
## + bp.1d:time.ppn 1 0.0002922 0.19130 -1210.0
## + gender:hip 1 0.0002682 0.19132 -1210.0
## + stab.glu:bp.1d 1 0.0002501 0.19134 -1210.0
## + chol:ratio 1 0.0002263 0.19137 -1209.9
## + ratio:weight 1 0.0002032 0.19139 -1209.9
## + bp.1d:hip 1 0.0002010 0.19139 -1209.9
## + age:height 1 0.0001725 0.19142 -1209.9
## + chol:time.ppn 1 0.0001723 0.19142 -1209.9
## + hdl:height 1 0.0001583 0.19143 -1209.9
## + chol:bp.1s 1 0.0001399 0.19145 -1209.9
## + chol:hip 1 0.0001298 0.19146 -1209.8
## + bp.1d:waist 1 0.0001165 0.19148 -1209.8
## + ratio:location 1 0.0001123 0.19148 -1209.8
## + chol:bp.1d 1 0.0000963 0.19149 -1209.8
## + stab.glu:weight 1 0.0000927 0.19150 -1209.8
## + location:bp.1s 1 0.0000881 0.19150 -1209.8
## + height:waist 1 0.0000850 0.19151 -1209.8
## + height:bp.1d 1 0.0000788 0.19151 -1209.8
## + gender:weight 1 0.0000699 0.19152 -1209.8
## + age:bp.1s 1 0.0000650 0.19153 -1209.8
## + gender:waist 1 0.0000615 0.19153 -1209.8
## + ratio:height 1 0.0000614 0.19153 -1209.8
## + height:hip 1 0.0000486 0.19154 -1209.8
## + weight:bp.1d 1 0.0000457 0.19155 -1209.8
## + stab.glu:hip 1 0.0000357 0.19156 -1209.8
## + stab.glu:hdl 1 0.0000345 0.19156 -1209.8
## + chol:waist 1 0.0000337 0.19156 -1209.8
## + stab.glu:waist 1 0.0000185 0.19157 -1209.7
## + ratio:age 1 0.0000133 0.19158 -1209.7
## + hdl:location 1 0.0000115 0.19158 -1209.7
## + weight:waist 1 0.0000097 0.19158 -1209.7
## + gender:bp.1d 1 0.0000073 0.19158 -1209.7
## + hdl:bp.1s 1 0.0000062 0.19159 -1209.7
## + ratio:waist 1 0.0000043 0.19159 -1209.7
## + chol:height 1 0.0000009 0.19159 -1209.7
## + waist:hip 1 0.0000007 0.19159 -1209.7
## + frame:bp.1d 2 0.0019835 0.18961 -1209.6
## + frame:bp.1s 2 0.0018696 0.18972 -1209.5
## + weight:frame 2 0.0017412 0.18985 -1209.4
## + height:frame 2 0.0017071 0.18988 -1209.4
## - weight:bp.1s 1 0.0047056 0.19630 -1209.3
## + gender:frame 2 0.0013958 0.19020 -1209.1
## - age:gender 1 0.0050908 0.19668 -1208.9
## + hdl:frame 2 0.0011275 0.19046 -1208.8
## + stab.glu:frame 2 0.0008957 0.19070 -1208.6
## + ratio:frame 2 0.0008808 0.19071 -1208.6
## + frame:waist 2 0.0006189 0.19097 -1208.3
## + frame:hip 2 0.0003299 0.19126 -1208.0
## + age:frame 2 0.0002496 0.19134 -1208.0
## + chol:frame 2 0.0001026 0.19149 -1207.8
## - age:bp.1d 1 0.0076666 0.19926 -1206.5
## - hdl:ratio 1 0.0100187 0.20161 -1204.4
## - chol 1 0.0100677 0.20166 -1204.3
## - stab.glu:gender 1 0.0150229 0.20661 -1199.9
##
## Step: AIC=-1213.74
## 1/data.t$glyhb ~ chol + stab.glu + hdl + ratio + location + age +
## gender + height + weight + bp.1s + bp.1d + waist + hip +
## time.ppn + stab.glu:gender + hdl:ratio + age:bp.1d + age:gender +
## weight:bp.1s
##
## Df Sum of Sq RSS AIC
## + age:hip 1 0.0042291 0.18945 -1215.8
## - location 1 0.0002111 0.19389 -1215.5
## + hip:time.ppn 1 0.0036810 0.18999 -1215.2
## + location:bp.1d 1 0.0034370 0.19024 -1215.0
## + gender:height 1 0.0034173 0.19026 -1215.0
## + stab.glu:bp.1s 1 0.0030011 0.19068 -1214.6
## + age:weight 1 0.0027785 0.19090 -1214.4
## - hip 1 0.0014928 0.19517 -1214.3
## + stab.glu:time.ppn 1 0.0026227 0.19105 -1214.2
## + location:height 1 0.0025587 0.19112 -1214.2
## + stab.glu:location 1 0.0024928 0.19118 -1214.1
## + stab.glu:age 1 0.0023789 0.19130 -1214.0
## + gender:time.ppn 1 0.0022088 0.19147 -1213.8
## <none> 0.19368 -1213.7
## + hdl:time.ppn 1 0.0019835 0.19169 -1213.6
## - height 1 0.0023105 0.19599 -1213.6
## + stab.glu:ratio 1 0.0017093 0.19197 -1213.4
## + hdl:weight 1 0.0016714 0.19201 -1213.3
## + location:waist 1 0.0016454 0.19203 -1213.3
## - waist 1 0.0027450 0.19642 -1213.2
## + age:waist 1 0.0014405 0.19224 -1213.1
## + hdl:hip 1 0.0014213 0.19226 -1213.1
## + waist:time.ppn 1 0.0014136 0.19226 -1213.1
## + age:time.ppn 1 0.0013894 0.19229 -1213.1
## + bp.1s:time.ppn 1 0.0013819 0.19229 -1213.0
## + ratio:time.ppn 1 0.0013809 0.19229 -1213.0
## + location:gender 1 0.0013699 0.19231 -1213.0
## + location:weight 1 0.0012596 0.19242 -1212.9
## - time.ppn 1 0.0030439 0.19672 -1212.9
## + weight:time.ppn 1 0.0010258 0.19265 -1212.7
## + height:time.ppn 1 0.0008703 0.19281 -1212.6
## + height:bp.1s 1 0.0008279 0.19285 -1212.5
## + height:weight 1 0.0008232 0.19285 -1212.5
## + location:hip 1 0.0007867 0.19289 -1212.5
## + weight:hip 1 0.0007725 0.19290 -1212.5
## + hdl:gender 1 0.0007378 0.19294 -1212.4
## + hdl:age 1 0.0007190 0.19296 -1212.4
## + ratio:bp.1d 1 0.0007022 0.19297 -1212.4
## + chol:location 1 0.0006868 0.19299 -1212.4
## + chol:weight 1 0.0006399 0.19304 -1212.3
## + location:age 1 0.0005917 0.19309 -1212.3
## + chol:age 1 0.0005188 0.19316 -1212.2
## + ratio:gender 1 0.0005077 0.19317 -1212.2
## + hdl:bp.1d 1 0.0004999 0.19318 -1212.2
## + location:time.ppn 1 0.0004954 0.19318 -1212.2
## + ratio:bp.1s 1 0.0004862 0.19319 -1212.2
## + gender:bp.1s 1 0.0004673 0.19321 -1212.2
## + hdl:waist 1 0.0004379 0.19324 -1212.2
## + bp.1d:time.ppn 1 0.0004184 0.19326 -1212.1
## + bp.1s:waist 1 0.0004126 0.19326 -1212.1
## + ratio:hip 1 0.0003916 0.19329 -1212.1
## + chol:hdl 1 0.0003780 0.19330 -1212.1
## + stab.glu:bp.1d 1 0.0003723 0.19330 -1212.1
## + chol:gender 1 0.0003437 0.19333 -1212.1
## + height:bp.1d 1 0.0003357 0.19334 -1212.1
## + chol:ratio 1 0.0003250 0.19335 -1212.0
## + stab.glu:height 1 0.0003082 0.19337 -1212.0
## + hdl:height 1 0.0002386 0.19344 -1212.0
## + gender:hip 1 0.0002351 0.19344 -1212.0
## + bp.1d:hip 1 0.0002284 0.19345 -1212.0
## + location:bp.1s 1 0.0002269 0.19345 -1212.0
## + chol:stab.glu 1 0.0002134 0.19346 -1211.9
## + bp.1s:hip 1 0.0001945 0.19348 -1211.9
## + chol:hip 1 0.0001786 0.19350 -1211.9
## + stab.glu:weight 1 0.0001589 0.19352 -1211.9
## + bp.1s:bp.1d 1 0.0001454 0.19353 -1211.9
## + chol:waist 1 0.0001438 0.19353 -1211.9
## + chol:bp.1s 1 0.0001345 0.19354 -1211.9
## + ratio:weight 1 0.0001216 0.19356 -1211.9
## + weight:waist 1 0.0001197 0.19356 -1211.9
## + stab.glu:hdl 1 0.0001133 0.19356 -1211.8
## + height:hip 1 0.0001053 0.19357 -1211.8
## + ratio:height 1 0.0000993 0.19358 -1211.8
## + chol:time.ppn 1 0.0000952 0.19358 -1211.8
## + height:waist 1 0.0000802 0.19360 -1211.8
## + ratio:location 1 0.0000784 0.19360 -1211.8
## + waist:hip 1 0.0000708 0.19360 -1211.8
## + gender:weight 1 0.0000677 0.19361 -1211.8
## + chol:bp.1d 1 0.0000645 0.19361 -1211.8
## + ratio:age 1 0.0000644 0.19361 -1211.8
## + bp.1d:waist 1 0.0000535 0.19362 -1211.8
## + weight:bp.1d 1 0.0000476 0.19363 -1211.8
## + stab.glu:hip 1 0.0000472 0.19363 -1211.8
## + age:bp.1s 1 0.0000418 0.19364 -1211.8
## + stab.glu:waist 1 0.0000393 0.19364 -1211.8
## + hdl:location 1 0.0000330 0.19364 -1211.8
## + gender:waist 1 0.0000253 0.19365 -1211.8
## + age:height 1 0.0000236 0.19365 -1211.8
## + gender:bp.1d 1 0.0000060 0.19367 -1211.8
## + hdl:bp.1s 1 0.0000042 0.19367 -1211.8
## + ratio:waist 1 0.0000011 0.19368 -1211.7
## + chol:height 1 0.0000001 0.19368 -1211.7
## + frame 2 0.0020849 0.19159 -1211.7
## - age:gender 1 0.0044274 0.19810 -1211.6
## - weight:bp.1s 1 0.0048403 0.19852 -1211.2
## - age:bp.1d 1 0.0085062 0.20218 -1207.9
## - chol 1 0.0100533 0.20373 -1206.5
## - hdl:ratio 1 0.0103579 0.20403 -1206.2
## - stab.glu:gender 1 0.0158797 0.20956 -1201.3
##
## Step: AIC=-1215.78
## 1/data.t$glyhb ~ chol + stab.glu + hdl + ratio + location + age +
## gender + height + weight + bp.1s + bp.1d + waist + hip +
## time.ppn + stab.glu:gender + hdl:ratio + age:bp.1d + age:gender +
## weight:bp.1s + age:hip
##
## Df Sum of Sq RSS AIC
## + hip:time.ppn 1 0.0049870 0.18446 -1218.7
## - location 1 0.0001770 0.18962 -1217.6
## + gender:height 1 0.0036423 0.18580 -1217.3
## + stab.glu:bp.1s 1 0.0034095 0.18604 -1217.1
## + location:bp.1d 1 0.0030641 0.18638 -1216.8
## - age:gender 1 0.0015493 0.19100 -1216.3
## + location:height 1 0.0025360 0.18691 -1216.2
## + stab.glu:location 1 0.0020820 0.18737 -1215.8
## + hdl:time.ppn 1 0.0020697 0.18738 -1215.8
## <none> 0.18945 -1215.8
## + location:waist 1 0.0020476 0.18740 -1215.8
## + weight:time.ppn 1 0.0019400 0.18751 -1215.7
## - height 1 0.0022427 0.19169 -1215.6
## + stab.glu:age 1 0.0018899 0.18756 -1215.6
## + gender:time.ppn 1 0.0017838 0.18766 -1215.5
## + stab.glu:time.ppn 1 0.0016459 0.18780 -1215.4
## + hdl:age 1 0.0016423 0.18780 -1215.4
## + hdl:weight 1 0.0015200 0.18793 -1215.3
## + location:weight 1 0.0015196 0.18793 -1215.3
## + location:gender 1 0.0013446 0.18810 -1215.1
## + ratio:time.ppn 1 0.0013226 0.18812 -1215.1
## + waist:time.ppn 1 0.0013208 0.18813 -1215.1
## + chol:weight 1 0.0012771 0.18817 -1215.0
## + bp.1d:hip 1 0.0012603 0.18819 -1215.0
## + hdl:hip 1 0.0012496 0.18820 -1215.0
## - waist 1 0.0029498 0.19240 -1215.0
## + bp.1s:waist 1 0.0010850 0.18836 -1214.8
## + stab.glu:ratio 1 0.0010804 0.18837 -1214.8
## + ratio:bp.1d 1 0.0010080 0.18844 -1214.8
## + bp.1d:waist 1 0.0009418 0.18851 -1214.7
## + chol:hip 1 0.0008470 0.18860 -1214.6
## + location:hip 1 0.0008435 0.18860 -1214.6
## - time.ppn 1 0.0033375 0.19279 -1214.6
## + bp.1s:time.ppn 1 0.0007738 0.18867 -1214.5
## + bp.1s:hip 1 0.0007312 0.18872 -1214.5
## + hdl:gender 1 0.0007236 0.18872 -1214.5
## + chol:hdl 1 0.0006802 0.18877 -1214.4
## + gender:bp.1s 1 0.0006780 0.18877 -1214.4
## + chol:age 1 0.0006590 0.18879 -1214.4
## + chol:location 1 0.0006239 0.18882 -1214.4
## + height:bp.1s 1 0.0006199 0.18883 -1214.4
## + gender:hip 1 0.0006194 0.18883 -1214.4
## + age:waist 1 0.0006156 0.18883 -1214.4
## + weight:bp.1d 1 0.0005900 0.18886 -1214.3
## + location:age 1 0.0005835 0.18886 -1214.3
## + bp.1d:time.ppn 1 0.0005494 0.18890 -1214.3
## + chol:ratio 1 0.0005190 0.18893 -1214.3
## + hdl:bp.1d 1 0.0005125 0.18893 -1214.3
## + stab.glu:bp.1d 1 0.0005078 0.18894 -1214.3
## + stab.glu:weight 1 0.0005063 0.18894 -1214.3
## + stab.glu:hip 1 0.0005013 0.18895 -1214.3
## + height:time.ppn 1 0.0004930 0.18895 -1214.3
## + ratio:gender 1 0.0004906 0.18896 -1214.3
## + height:weight 1 0.0004819 0.18896 -1214.2
## + height:bp.1d 1 0.0004679 0.18898 -1214.2
## + age:time.ppn 1 0.0004558 0.18899 -1214.2
## + chol:waist 1 0.0004174 0.18903 -1214.2
## + ratio:bp.1s 1 0.0004045 0.18904 -1214.2
## + chol:gender 1 0.0003830 0.18906 -1214.2
## + location:time.ppn 1 0.0003661 0.18908 -1214.1
## + ratio:age 1 0.0003068 0.18914 -1214.1
## + hdl:height 1 0.0002622 0.18918 -1214.0
## + gender:weight 1 0.0002524 0.18920 -1214.0
## + ratio:waist 1 0.0002480 0.18920 -1214.0
## + stab.glu:waist 1 0.0002465 0.18920 -1214.0
## + gender:waist 1 0.0002245 0.18922 -1214.0
## + bp.1s:bp.1d 1 0.0002031 0.18924 -1214.0
## + age:bp.1s 1 0.0001837 0.18926 -1214.0
## + hdl:waist 1 0.0001744 0.18927 -1214.0
## + chol:time.ppn 1 0.0001607 0.18929 -1213.9
## + hdl:location 1 0.0001477 0.18930 -1213.9
## + stab.glu:height 1 0.0001463 0.18930 -1213.9
## + age:height 1 0.0001382 0.18931 -1213.9
## + chol:stab.glu 1 0.0001151 0.18933 -1213.9
## + location:bp.1s 1 0.0001072 0.18934 -1213.9
## + weight:hip 1 0.0001045 0.18934 -1213.9
## + ratio:height 1 0.0001032 0.18934 -1213.9
## + age:weight 1 0.0000738 0.18937 -1213.8
## + chol:bp.1s 1 0.0000669 0.18938 -1213.8
## + gender:bp.1d 1 0.0000475 0.18940 -1213.8
## + weight:waist 1 0.0000356 0.18941 -1213.8
## + ratio:hip 1 0.0000294 0.18942 -1213.8
## + chol:bp.1d 1 0.0000122 0.18943 -1213.8
## + waist:hip 1 0.0000088 0.18944 -1213.8
## + hdl:bp.1s 1 0.0000088 0.18944 -1213.8
## + height:hip 1 0.0000065 0.18944 -1213.8
## + height:waist 1 0.0000030 0.18944 -1213.8
## + chol:height 1 0.0000016 0.18945 -1213.8
## + ratio:location 1 0.0000008 0.18945 -1213.8
## + stab.glu:hdl 1 0.0000007 0.18945 -1213.8
## + ratio:weight 1 0.0000001 0.18945 -1213.8
## - age:hip 1 0.0042291 0.19368 -1213.7
## + frame 2 0.0014034 0.18804 -1213.1
## - weight:bp.1s 1 0.0073442 0.19679 -1210.8
## - chol 1 0.0108171 0.20026 -1207.6
## - hdl:ratio 1 0.0114876 0.20094 -1207.0
## - age:bp.1d 1 0.0117556 0.20120 -1206.8
## - stab.glu:gender 1 0.0143590 0.20381 -1204.4
##
## Step: AIC=-1218.66
## 1/data.t$glyhb ~ chol + stab.glu + hdl + ratio + location + age +
## gender + height + weight + bp.1s + bp.1d + waist + hip +
## time.ppn + stab.glu:gender + hdl:ratio + age:bp.1d + age:gender +
## weight:bp.1s + age:hip + hip:time.ppn
##
## Df Sum of Sq RSS AIC
## + gender:height 1 0.0039509 0.18051 -1220.6
## + stab.glu:bp.1s 1 0.0038363 0.18062 -1220.5
## - location 1 0.0002171 0.18468 -1220.5
## - age:gender 1 0.0011514 0.18561 -1219.5
## + location:bp.1d 1 0.0023663 0.18209 -1219.0
## + hdl:age 1 0.0020476 0.18241 -1218.7
## + location:height 1 0.0020449 0.18241 -1218.7
## - height 1 0.0020064 0.18647 -1218.7
## <none> 0.18446 -1218.7
## + stab.glu:location 1 0.0019636 0.18250 -1218.6
## + bp.1s:waist 1 0.0016023 0.18286 -1218.3
## + age:waist 1 0.0015496 0.18291 -1218.2
## + location:gender 1 0.0015338 0.18293 -1218.2
## + stab.glu:age 1 0.0014531 0.18301 -1218.1
## + stab.glu:time.ppn 1 0.0013537 0.18311 -1218.0
## + ratio:bp.1d 1 0.0013277 0.18313 -1218.0
## + hdl:weight 1 0.0012711 0.18319 -1217.9
## + chol:weight 1 0.0012676 0.18319 -1217.9
## + waist:time.ppn 1 0.0011015 0.18336 -1217.8
## + stab.glu:weight 1 0.0010634 0.18340 -1217.7
## + location:waist 1 0.0010590 0.18340 -1217.7
## + chol:hdl 1 0.0010521 0.18341 -1217.7
## + weight:time.ppn 1 0.0009896 0.18347 -1217.7
## + hdl:hip 1 0.0009817 0.18348 -1217.6
## - waist 1 0.0031504 0.18761 -1217.6
## + gender:bp.1s 1 0.0008861 0.18357 -1217.5
## + chol:hip 1 0.0008453 0.18362 -1217.5
## + hdl:bp.1d 1 0.0008347 0.18363 -1217.5
## + location:age 1 0.0008267 0.18363 -1217.5
## + stab.glu:ratio 1 0.0007948 0.18366 -1217.5
## + bp.1d:hip 1 0.0007924 0.18367 -1217.5
## + location:weight 1 0.0007388 0.18372 -1217.4
## + ratio:bp.1s 1 0.0007310 0.18373 -1217.4
## + stab.glu:bp.1d 1 0.0007307 0.18373 -1217.4
## + stab.glu:hip 1 0.0007048 0.18376 -1217.4
## + bp.1s:time.ppn 1 0.0006608 0.18380 -1217.3
## + chol:age 1 0.0006554 0.18380 -1217.3
## + chol:ratio 1 0.0006290 0.18383 -1217.3
## + hdl:gender 1 0.0006049 0.18385 -1217.3
## + stab.glu:waist 1 0.0005898 0.18387 -1217.2
## + gender:time.ppn 1 0.0005637 0.18390 -1217.2
## + height:weight 1 0.0005611 0.18390 -1217.2
## + age:bp.1s 1 0.0005366 0.18392 -1217.2
## + height:bp.1s 1 0.0005169 0.18394 -1217.2
## + bp.1s:hip 1 0.0004984 0.18396 -1217.2
## + weight:hip 1 0.0004822 0.18398 -1217.1
## + chol:waist 1 0.0004802 0.18398 -1217.1
## + ratio:age 1 0.0004694 0.18399 -1217.1
## + gender:hip 1 0.0004578 0.18400 -1217.1
## + chol:location 1 0.0004288 0.18403 -1217.1
## + ratio:gender 1 0.0004284 0.18403 -1217.1
## + hdl:location 1 0.0004108 0.18405 -1217.1
## + bp.1d:waist 1 0.0004076 0.18405 -1217.1
## + hdl:time.ppn 1 0.0004024 0.18406 -1217.1
## + height:time.ppn 1 0.0003769 0.18408 -1217.0
## + ratio:waist 1 0.0003706 0.18409 -1217.0
## + weight:waist 1 0.0003514 0.18411 -1217.0
## + chol:gender 1 0.0003141 0.18415 -1217.0
## + age:time.ppn 1 0.0003118 0.18415 -1217.0
## + bp.1s:bp.1d 1 0.0003038 0.18416 -1217.0
## + gender:weight 1 0.0002910 0.18417 -1217.0
## + gender:waist 1 0.0002810 0.18418 -1216.9
## + location:hip 1 0.0002736 0.18419 -1216.9
## + ratio:time.ppn 1 0.0002707 0.18419 -1216.9
## + hdl:height 1 0.0002259 0.18423 -1216.9
## + location:time.ppn 1 0.0002208 0.18424 -1216.9
## + waist:hip 1 0.0001922 0.18427 -1216.9
## + weight:bp.1d 1 0.0001889 0.18427 -1216.8
## + stab.glu:height 1 0.0001781 0.18428 -1216.8
## + bp.1d:time.ppn 1 0.0001393 0.18432 -1216.8
## + chol:time.ppn 1 0.0001389 0.18432 -1216.8
## + hdl:waist 1 0.0001274 0.18433 -1216.8
## + chol:bp.1s 1 0.0000835 0.18438 -1216.8
## + ratio:height 1 0.0000733 0.18439 -1216.7
## + height:bp.1d 1 0.0000689 0.18439 -1216.7
## + chol:stab.glu 1 0.0000558 0.18440 -1216.7
## + age:weight 1 0.0000553 0.18441 -1216.7
## + ratio:location 1 0.0000459 0.18441 -1216.7
## + age:height 1 0.0000418 0.18442 -1216.7
## + chol:bp.1d 1 0.0000285 0.18443 -1216.7
## + gender:bp.1d 1 0.0000215 0.18444 -1216.7
## + location:bp.1s 1 0.0000174 0.18444 -1216.7
## + ratio:weight 1 0.0000139 0.18445 -1216.7
## + stab.glu:hdl 1 0.0000060 0.18445 -1216.7
## + ratio:hip 1 0.0000051 0.18446 -1216.7
## + hdl:bp.1s 1 0.0000017 0.18446 -1216.7
## + height:hip 1 0.0000011 0.18446 -1216.7
## + chol:height 1 0.0000006 0.18446 -1216.7
## + height:waist 1 0.0000003 0.18446 -1216.7
## + frame 2 0.0014238 0.18304 -1216.1
## - hip:time.ppn 1 0.0049870 0.18945 -1215.8
## - age:hip 1 0.0055351 0.18999 -1215.2
## - weight:bp.1s 1 0.0078078 0.19227 -1213.1
## - age:bp.1d 1 0.0095073 0.19397 -1211.5
## - chol 1 0.0110043 0.19546 -1210.1
## - hdl:ratio 1 0.0119007 0.19636 -1209.2
## - stab.glu:gender 1 0.0139289 0.19839 -1207.3
##
## Step: AIC=-1220.63
## 1/data.t$glyhb ~ chol + stab.glu + hdl + ratio + location + age +
## gender + height + weight + bp.1s + bp.1d + waist + hip +
## time.ppn + stab.glu:gender + hdl:ratio + age:bp.1d + age:gender +
## weight:bp.1s + age:hip + hip:time.ppn + gender:height
##
## Df Sum of Sq RSS AIC
## + stab.glu:bp.1s 1 0.0047065 0.17580 -1223.5
## - location 1 0.0002576 0.18077 -1222.4
## + location:bp.1d 1 0.0033116 0.17720 -1222.0
## + stab.glu:location 1 0.0026427 0.17787 -1221.3
## + hdl:age 1 0.0025462 0.17796 -1221.2
## <none> 0.18051 -1220.6
## - age:gender 1 0.0021003 0.18261 -1220.5
## + stab.glu:age 1 0.0018064 0.17870 -1220.5
## + hdl:weight 1 0.0017224 0.17879 -1220.4
## + ratio:bp.1d 1 0.0017061 0.17880 -1220.4
## + bp.1d:hip 1 0.0014169 0.17909 -1220.1
## + chol:hdl 1 0.0013896 0.17912 -1220.0
## + stab.glu:time.ppn 1 0.0013594 0.17915 -1220.0
## + height:hip 1 0.0013424 0.17917 -1220.0
## + age:waist 1 0.0012977 0.17921 -1220.0
## + bp.1s:waist 1 0.0012961 0.17921 -1220.0
## + stab.glu:bp.1d 1 0.0012758 0.17923 -1219.9
## + height:bp.1s 1 0.0011836 0.17933 -1219.8
## + chol:weight 1 0.0011144 0.17939 -1219.8
## + bp.1d:waist 1 0.0011083 0.17940 -1219.8
## + hdl:hip 1 0.0010517 0.17946 -1219.7
## + weight:hip 1 0.0009922 0.17952 -1219.6
## + hdl:bp.1d 1 0.0009449 0.17956 -1219.6
## + location:height 1 0.0008968 0.17961 -1219.5
## + location:age 1 0.0008783 0.17963 -1219.5
## + stab.glu:ratio 1 0.0008336 0.17968 -1219.5
## + stab.glu:weight 1 0.0008041 0.17971 -1219.4
## + hdl:location 1 0.0008012 0.17971 -1219.4
## + waist:time.ppn 1 0.0007725 0.17974 -1219.4
## + location:gender 1 0.0007620 0.17975 -1219.4
## + chol:age 1 0.0007550 0.17975 -1219.4
## + height:weight 1 0.0007532 0.17976 -1219.4
## + ratio:bp.1s 1 0.0007461 0.17976 -1219.4
## + location:waist 1 0.0007448 0.17976 -1219.4
## + ratio:gender 1 0.0006778 0.17983 -1219.3
## + hdl:gender 1 0.0006579 0.17985 -1219.3
## - waist 1 0.0033400 0.18385 -1219.3
## + location:weight 1 0.0006282 0.17988 -1219.3
## + weight:time.ppn 1 0.0005697 0.17994 -1219.2
## + stab.glu:hip 1 0.0005427 0.17997 -1219.2
## + ratio:age 1 0.0005401 0.17997 -1219.2
## + gender:bp.1s 1 0.0005181 0.17999 -1219.2
## + weight:bp.1d 1 0.0005059 0.18000 -1219.1
## + hdl:height 1 0.0004820 0.18003 -1219.1
## + weight:waist 1 0.0004602 0.18005 -1219.1
## + chol:time.ppn 1 0.0004585 0.18005 -1219.1
## + bp.1s:time.ppn 1 0.0004584 0.18005 -1219.1
## + chol:hip 1 0.0004584 0.18005 -1219.1
## + hdl:time.ppn 1 0.0004435 0.18007 -1219.1
## + waist:hip 1 0.0004054 0.18010 -1219.0
## + chol:ratio 1 0.0004053 0.18010 -1219.0
## + chol:location 1 0.0004023 0.18011 -1219.0
## + age:bp.1s 1 0.0003827 0.18013 -1219.0
## + stab.glu:waist 1 0.0003415 0.18017 -1219.0
## + location:hip 1 0.0003035 0.18021 -1218.9
## + height:waist 1 0.0002778 0.18023 -1218.9
## + bp.1s:hip 1 0.0002756 0.18023 -1218.9
## + chol:waist 1 0.0002461 0.18026 -1218.9
## + age:time.ppn 1 0.0002449 0.18026 -1218.9
## + hdl:waist 1 0.0002203 0.18029 -1218.8
## + gender:time.ppn 1 0.0002151 0.18029 -1218.8
## + chol:bp.1s 1 0.0002018 0.18031 -1218.8
## + ratio:location 1 0.0001903 0.18032 -1218.8
## + gender:hip 1 0.0001737 0.18034 -1218.8
## + ratio:time.ppn 1 0.0001720 0.18034 -1218.8
## + height:bp.1d 1 0.0001098 0.18040 -1218.7
## + age:weight 1 0.0001072 0.18040 -1218.7
## + ratio:waist 1 0.0001020 0.18041 -1218.7
## + chol:gender 1 0.0000996 0.18041 -1218.7
## + bp.1d:time.ppn 1 0.0000959 0.18041 -1218.7
## + chol:stab.glu 1 0.0000939 0.18041 -1218.7
## + bp.1s:bp.1d 1 0.0000763 0.18043 -1218.7
## + ratio:hip 1 0.0000754 0.18043 -1218.7
## + ratio:height 1 0.0000745 0.18044 -1218.7
## + age:height 1 0.0000734 0.18044 -1218.7
## + location:time.ppn 1 0.0000691 0.18044 -1218.7
## + gender:waist 1 0.0000690 0.18044 -1218.7
## + location:bp.1s 1 0.0000659 0.18044 -1218.7
## + height:time.ppn 1 0.0000612 0.18045 -1218.7
## + chol:height 1 0.0000500 0.18046 -1218.7
## - gender:height 1 0.0039509 0.18446 -1218.7
## + hdl:bp.1s 1 0.0000194 0.18049 -1218.7
## + ratio:weight 1 0.0000148 0.18049 -1218.6
## + gender:bp.1d 1 0.0000061 0.18050 -1218.6
## + stab.glu:height 1 0.0000053 0.18050 -1218.6
## + stab.glu:hdl 1 0.0000009 0.18051 -1218.6
## + gender:weight 1 0.0000007 0.18051 -1218.6
## + chol:bp.1d 1 0.0000002 0.18051 -1218.6
## + frame 2 0.0016747 0.17883 -1218.3
## - hip:time.ppn 1 0.0052956 0.18580 -1217.3
## - age:hip 1 0.0058457 0.18635 -1216.8
## - weight:bp.1s 1 0.0068691 0.18738 -1215.8
## - age:bp.1d 1 0.0093701 0.18988 -1213.4
## - chol 1 0.0108714 0.19138 -1211.9
## - hdl:ratio 1 0.0118922 0.19240 -1211.0
## - stab.glu:gender 1 0.0145552 0.19506 -1208.4
##
## Step: AIC=-1223.46
## 1/data.t$glyhb ~ chol + stab.glu + hdl + ratio + location + age +
## gender + height + weight + bp.1s + bp.1d + waist + hip +
## time.ppn + stab.glu:gender + hdl:ratio + age:bp.1d + age:gender +
## weight:bp.1s + age:hip + hip:time.ppn + gender:height + stab.glu:bp.1s
##
## Df Sum of Sq RSS AIC
## - location 1 0.0000425 0.17585 -1225.4
## + location:bp.1d 1 0.0029346 0.17287 -1224.5
## + hdl:age 1 0.0029190 0.17288 -1224.5
## + bp.1s:waist 1 0.0022289 0.17357 -1223.8
## + stab.glu:time.ppn 1 0.0021740 0.17363 -1223.7
## + hdl:weight 1 0.0021642 0.17364 -1223.7
## + chol:hdl 1 0.0020840 0.17372 -1223.6
## <none> 0.17580 -1223.5
## - age:gender 1 0.0020592 0.17786 -1223.3
## + chol:weight 1 0.0017244 0.17408 -1223.3
## + age:waist 1 0.0015951 0.17421 -1223.1
## + height:hip 1 0.0014390 0.17436 -1223.0
## + stab.glu:location 1 0.0014371 0.17437 -1223.0
## + height:bp.1s 1 0.0012788 0.17452 -1222.8
## + stab.glu:waist 1 0.0012251 0.17458 -1222.7
## + weight:hip 1 0.0011412 0.17466 -1222.7
## + chol:hip 1 0.0010761 0.17473 -1222.6
## + ratio:age 1 0.0010564 0.17475 -1222.6
## + waist:time.ppn 1 0.0009891 0.17481 -1222.5
## + hdl:hip 1 0.0009518 0.17485 -1222.5
## + location:height 1 0.0009483 0.17485 -1222.5
## + stab.glu:height 1 0.0009061 0.17490 -1222.4
## + location:age 1 0.0008546 0.17495 -1222.3
## + ratio:bp.1d 1 0.0008448 0.17496 -1222.3
## + bp.1d:hip 1 0.0008258 0.17498 -1222.3
## + hdl:location 1 0.0007923 0.17501 -1222.3
## + stab.glu:hip 1 0.0007861 0.17502 -1222.3
## + height:weight 1 0.0007710 0.17503 -1222.3
## + bp.1d:waist 1 0.0007627 0.17504 -1222.3
## + age:bp.1s 1 0.0007624 0.17504 -1222.3
## + hdl:height 1 0.0007342 0.17507 -1222.2
## + gender:bp.1s 1 0.0007250 0.17508 -1222.2
## + chol:ratio 1 0.0006655 0.17514 -1222.2
## + weight:time.ppn 1 0.0006545 0.17515 -1222.1
## + chol:waist 1 0.0006521 0.17515 -1222.1
## + bp.1s:time.ppn 1 0.0006457 0.17516 -1222.1
## + chol:location 1 0.0006135 0.17519 -1222.1
## + stab.glu:weight 1 0.0005677 0.17524 -1222.0
## + location:waist 1 0.0005587 0.17524 -1222.0
## + waist:hip 1 0.0005238 0.17528 -1222.0
## + bp.1s:hip 1 0.0005227 0.17528 -1222.0
## + location:weight 1 0.0004772 0.17533 -1222.0
## + chol:time.ppn 1 0.0004696 0.17533 -1222.0
## + weight:waist 1 0.0004659 0.17534 -1222.0
## + bp.1s:bp.1d 1 0.0004637 0.17534 -1222.0
## + location:gender 1 0.0004634 0.17534 -1221.9
## + weight:bp.1d 1 0.0004130 0.17539 -1221.9
## + ratio:gender 1 0.0004079 0.17539 -1221.9
## + hdl:gender 1 0.0004031 0.17540 -1221.9
## + chol:age 1 0.0004007 0.17540 -1221.9
## + hdl:bp.1s 1 0.0003932 0.17541 -1221.9
## + hdl:time.ppn 1 0.0003916 0.17541 -1221.9
## + gender:time.ppn 1 0.0003622 0.17544 -1221.8
## + hdl:bp.1d 1 0.0003540 0.17545 -1221.8
## + location:hip 1 0.0003514 0.17545 -1221.8
## + chol:bp.1s 1 0.0003068 0.17550 -1221.8
## + ratio:height 1 0.0002855 0.17552 -1221.8
## + height:waist 1 0.0002825 0.17552 -1221.8
## + ratio:waist 1 0.0002796 0.17552 -1221.8
## + age:time.ppn 1 0.0002573 0.17555 -1221.7
## + hdl:waist 1 0.0002081 0.17560 -1221.7
## + gender:hip 1 0.0001787 0.17562 -1221.7
## + location:time.ppn 1 0.0001786 0.17562 -1221.7
## + height:time.ppn 1 0.0001450 0.17566 -1221.6
## + height:bp.1d 1 0.0001274 0.17567 -1221.6
## + location:bp.1s 1 0.0001159 0.17569 -1221.6
## + ratio:time.ppn 1 0.0001137 0.17569 -1221.6
## + ratio:location 1 0.0001064 0.17570 -1221.6
## - waist 1 0.0037869 0.17959 -1221.6
## + chol:gender 1 0.0000960 0.17571 -1221.6
## + gender:bp.1d 1 0.0000923 0.17571 -1221.6
## + age:weight 1 0.0000876 0.17572 -1221.5
## + stab.glu:hdl 1 0.0000812 0.17572 -1221.5
## + gender:waist 1 0.0000656 0.17574 -1221.5
## + chol:stab.glu 1 0.0000458 0.17576 -1221.5
## + ratio:weight 1 0.0000422 0.17576 -1221.5
## + bp.1d:time.ppn 1 0.0000372 0.17577 -1221.5
## + chol:height 1 0.0000346 0.17577 -1221.5
## + age:height 1 0.0000268 0.17578 -1221.5
## + ratio:bp.1s 1 0.0000228 0.17578 -1221.5
## + stab.glu:age 1 0.0000170 0.17579 -1221.5
## + chol:bp.1d 1 0.0000158 0.17579 -1221.5
## + stab.glu:ratio 1 0.0000156 0.17579 -1221.5
## + ratio:hip 1 0.0000087 0.17579 -1221.5
## + gender:weight 1 0.0000047 0.17580 -1221.5
## + stab.glu:bp.1d 1 0.0000000 0.17580 -1221.5
## - stab.glu:bp.1s 1 0.0047065 0.18051 -1220.6
## - gender:height 1 0.0048211 0.18062 -1220.5
## + frame 2 0.0009610 0.17484 -1220.5
## - hip:time.ppn 1 0.0058215 0.18162 -1219.5
## - age:hip 1 0.0065138 0.18232 -1218.8
## - weight:bp.1s 1 0.0090528 0.18486 -1216.3
## - age:bp.1d 1 0.0111104 0.18691 -1214.2
## - chol 1 0.0113497 0.18715 -1214.0
## - hdl:ratio 1 0.0125241 0.18833 -1212.9
## - stab.glu:gender 1 0.0135075 0.18931 -1211.9
##
## Step: AIC=-1225.42
## 1/data.t$glyhb ~ chol + stab.glu + hdl + ratio + age + gender +
## height + weight + bp.1s + bp.1d + waist + hip + time.ppn +
## stab.glu:gender + hdl:ratio + age:bp.1d + age:gender + weight:bp.1s +
## age:hip + hip:time.ppn + gender:height + stab.glu:bp.1s
##
## Df Sum of Sq RSS AIC
## + hdl:age 1 0.0027271 0.17312 -1226.3
## + bp.1s:waist 1 0.0022300 0.17361 -1225.8
## + stab.glu:time.ppn 1 0.0022166 0.17363 -1225.7
## + hdl:weight 1 0.0021098 0.17374 -1225.6
## + chol:hdl 1 0.0020589 0.17379 -1225.6
## <none> 0.17585 -1225.4
## - age:gender 1 0.0020322 0.17788 -1225.3
## + chol:weight 1 0.0016978 0.17415 -1225.2
## + age:waist 1 0.0015909 0.17425 -1225.1
## + height:hip 1 0.0014442 0.17440 -1224.9
## + height:bp.1s 1 0.0012034 0.17464 -1224.7
## + stab.glu:waist 1 0.0011466 0.17470 -1224.6
## + weight:hip 1 0.0010960 0.17475 -1224.6
## + chol:hip 1 0.0010373 0.17481 -1224.5
## + ratio:age 1 0.0010008 0.17485 -1224.5
## + waist:time.ppn 1 0.0009379 0.17491 -1224.4
## + hdl:hip 1 0.0009361 0.17491 -1224.4
## + stab.glu:height 1 0.0008857 0.17496 -1224.3
## + ratio:bp.1d 1 0.0008662 0.17498 -1224.3
## + bp.1d:hip 1 0.0008607 0.17499 -1224.3
## + bp.1d:waist 1 0.0007954 0.17505 -1224.2
## + height:weight 1 0.0007557 0.17509 -1224.2
## + gender:bp.1s 1 0.0007255 0.17512 -1224.2
## + age:bp.1s 1 0.0007185 0.17513 -1224.2
## + hdl:height 1 0.0007051 0.17514 -1224.2
## + stab.glu:hip 1 0.0006910 0.17515 -1224.1
## + bp.1s:time.ppn 1 0.0006731 0.17517 -1224.1
## + chol:ratio 1 0.0006526 0.17519 -1224.1
## + chol:waist 1 0.0006329 0.17521 -1224.1
## + weight:time.ppn 1 0.0006327 0.17521 -1224.1
## + bp.1s:hip 1 0.0005271 0.17532 -1224.0
## + stab.glu:weight 1 0.0005255 0.17532 -1224.0
## + bp.1s:bp.1d 1 0.0004942 0.17535 -1223.9
## + waist:hip 1 0.0004757 0.17537 -1223.9
## + weight:waist 1 0.0004456 0.17540 -1223.9
## + weight:bp.1d 1 0.0004368 0.17541 -1223.9
## + chol:time.ppn 1 0.0004083 0.17544 -1223.8
## + ratio:gender 1 0.0004064 0.17544 -1223.8
## + hdl:gender 1 0.0004024 0.17544 -1223.8
## + chol:age 1 0.0003889 0.17546 -1223.8
## + hdl:bp.1s 1 0.0003814 0.17546 -1223.8
## + hdl:bp.1d 1 0.0003727 0.17547 -1223.8
## + hdl:time.ppn 1 0.0003693 0.17548 -1223.8
## + gender:time.ppn 1 0.0003414 0.17550 -1223.8
## + chol:bp.1s 1 0.0002993 0.17555 -1223.7
## + height:waist 1 0.0002976 0.17555 -1223.7
## + age:time.ppn 1 0.0002817 0.17556 -1223.7
## + ratio:height 1 0.0002745 0.17557 -1223.7
## + ratio:waist 1 0.0002696 0.17558 -1223.7
## + hdl:waist 1 0.0002131 0.17563 -1223.6
## + gender:hip 1 0.0001851 0.17566 -1223.6
## + height:time.ppn 1 0.0001488 0.17570 -1223.6
## - waist 1 0.0037540 0.17960 -1223.5
## + ratio:time.ppn 1 0.0001203 0.17572 -1223.5
## + height:bp.1d 1 0.0001158 0.17573 -1223.5
## + chol:gender 1 0.0000928 0.17575 -1223.5
## + gender:bp.1d 1 0.0000906 0.17575 -1223.5
## + age:weight 1 0.0000834 0.17576 -1223.5
## + stab.glu:hdl 1 0.0000716 0.17577 -1223.5
## + gender:waist 1 0.0000695 0.17578 -1223.5
## + chol:stab.glu 1 0.0000491 0.17580 -1223.5
## + bp.1d:time.ppn 1 0.0000472 0.17580 -1223.5
## + location 1 0.0000425 0.17580 -1223.5
## + ratio:weight 1 0.0000403 0.17580 -1223.5
## + chol:height 1 0.0000375 0.17581 -1223.5
## + ratio:bp.1s 1 0.0000241 0.17582 -1223.4
## + stab.glu:age 1 0.0000228 0.17582 -1223.4
## + age:height 1 0.0000197 0.17583 -1223.4
## + stab.glu:ratio 1 0.0000170 0.17583 -1223.4
## + chol:bp.1d 1 0.0000142 0.17583 -1223.4
## + ratio:hip 1 0.0000085 0.17584 -1223.4
## + gender:weight 1 0.0000036 0.17584 -1223.4
## + stab.glu:bp.1d 1 0.0000006 0.17585 -1223.4
## - gender:height 1 0.0048151 0.18066 -1222.5
## + frame 2 0.0009262 0.17492 -1222.4
## - stab.glu:bp.1s 1 0.0049216 0.18077 -1222.4
## - hip:time.ppn 1 0.0058091 0.18165 -1221.5
## - age:hip 1 0.0065424 0.18239 -1220.7
## - weight:bp.1s 1 0.0090485 0.18489 -1218.2
## - age:bp.1d 1 0.0110693 0.18691 -1216.2
## - chol 1 0.0115934 0.18744 -1215.7
## - hdl:ratio 1 0.0127421 0.18859 -1214.6
## - stab.glu:gender 1 0.0134663 0.18931 -1213.9
##
## Step: AIC=-1226.28
## 1/data.t$glyhb ~ chol + stab.glu + hdl + ratio + age + gender +
## height + weight + bp.1s + bp.1d + waist + hip + time.ppn +
## stab.glu:gender + hdl:ratio + age:bp.1d + age:gender + weight:bp.1s +
## age:hip + hip:time.ppn + gender:height + stab.glu:bp.1s +
## hdl:age
##
## Df Sum of Sq RSS AIC
## - age:gender 1 0.0011676 0.17429 -1227.0
## + stab.glu:time.ppn 1 0.0024209 0.17070 -1226.8
## <none> 0.17312 -1226.3
## + height:hip 1 0.0018362 0.17128 -1226.2
## + bp.1s:waist 1 0.0017645 0.17135 -1226.2
## + age:bp.1s 1 0.0016736 0.17144 -1226.1
## + age:waist 1 0.0012839 0.17183 -1225.6
## + height:weight 1 0.0012746 0.17184 -1225.6
## + weight:hip 1 0.0011996 0.17192 -1225.5
## + hdl:hip 1 0.0011941 0.17192 -1225.5
## + height:bp.1s 1 0.0011887 0.17193 -1225.5
## + stab.glu:waist 1 0.0011108 0.17201 -1225.5
## + hdl:weight 1 0.0010921 0.17203 -1225.4
## - hdl:age 1 0.0027271 0.17585 -1225.4
## + chol:weight 1 0.0010269 0.17209 -1225.4
## + bp.1s:time.ppn 1 0.0009751 0.17214 -1225.3
## + hdl:gender 1 0.0009717 0.17215 -1225.3
## + bp.1s:hip 1 0.0009183 0.17220 -1225.2
## + ratio:gender 1 0.0008823 0.17224 -1225.2
## + gender:bp.1s 1 0.0008693 0.17225 -1225.2
## + bp.1d:hip 1 0.0008522 0.17227 -1225.2
## + ratio:bp.1d 1 0.0007844 0.17233 -1225.1
## + chol:hip 1 0.0007832 0.17233 -1225.1
## + ratio:bp.1s 1 0.0006747 0.17244 -1225.0
## + bp.1d:waist 1 0.0006665 0.17245 -1225.0
## + weight:time.ppn 1 0.0006183 0.17250 -1224.9
## + weight:waist 1 0.0005915 0.17253 -1224.9
## + chol:hdl 1 0.0005907 0.17253 -1224.9
## + stab.glu:weight 1 0.0005833 0.17253 -1224.9
## + age:time.ppn 1 0.0005794 0.17254 -1224.9
## + stab.glu:hip 1 0.0005559 0.17256 -1224.9
## + stab.glu:height 1 0.0005262 0.17259 -1224.8
## + hdl:bp.1d 1 0.0004643 0.17265 -1224.8
## + hdl:time.ppn 1 0.0004564 0.17266 -1224.8
## + waist:hip 1 0.0004552 0.17266 -1224.8
## + height:waist 1 0.0004433 0.17267 -1224.8
## + hdl:waist 1 0.0004399 0.17268 -1224.7
## + bp.1s:bp.1d 1 0.0004225 0.17270 -1224.7
## + waist:time.ppn 1 0.0003701 0.17275 -1224.7
## + chol:waist 1 0.0003516 0.17277 -1224.7
## + chol:ratio 1 0.0002926 0.17283 -1224.6
## + weight:bp.1d 1 0.0002855 0.17283 -1224.6
## + chol:time.ppn 1 0.0002781 0.17284 -1224.6
## + gender:hip 1 0.0002501 0.17287 -1224.5
## + ratio:time.ppn 1 0.0002493 0.17287 -1224.5
## + location 1 0.0002345 0.17288 -1224.5
## + bp.1d:time.ppn 1 0.0002062 0.17291 -1224.5
## + gender:time.ppn 1 0.0001585 0.17296 -1224.5
## + height:time.ppn 1 0.0001573 0.17296 -1224.4
## + hdl:bp.1s 1 0.0001391 0.17298 -1224.4
## + stab.glu:ratio 1 0.0001311 0.17299 -1224.4
## + ratio:age 1 0.0001257 0.17299 -1224.4
## + gender:waist 1 0.0001054 0.17301 -1224.4
## + stab.glu:age 1 0.0000969 0.17302 -1224.4
## + age:height 1 0.0000869 0.17303 -1224.4
## + chol:stab.glu 1 0.0000865 0.17303 -1224.4
## + chol:gender 1 0.0000799 0.17304 -1224.4
## + ratio:hip 1 0.0000619 0.17306 -1224.3
## + hdl:height 1 0.0000554 0.17306 -1224.3
## + ratio:waist 1 0.0000509 0.17307 -1224.3
## + chol:age 1 0.0000337 0.17308 -1224.3
## + chol:bp.1s 1 0.0000331 0.17308 -1224.3
## + gender:bp.1d 1 0.0000304 0.17309 -1224.3
## + gender:weight 1 0.0000183 0.17310 -1224.3
## + height:bp.1d 1 0.0000146 0.17310 -1224.3
## + chol:height 1 0.0000119 0.17311 -1224.3
## + ratio:height 1 0.0000105 0.17311 -1224.3
## + chol:bp.1d 1 0.0000078 0.17311 -1224.3
## + stab.glu:hdl 1 0.0000052 0.17311 -1224.3
## + age:weight 1 0.0000043 0.17311 -1224.3
## + ratio:weight 1 0.0000000 0.17312 -1224.3
## + stab.glu:bp.1d 1 0.0000000 0.17312 -1224.3
## - waist 1 0.0041614 0.17728 -1223.9
## + frame 2 0.0006999 0.17242 -1223.0
## - gender:height 1 0.0053986 0.17852 -1222.7
## - stab.glu:bp.1s 1 0.0054455 0.17856 -1222.6
## - hip:time.ppn 1 0.0063351 0.17945 -1221.7
## - weight:bp.1s 1 0.0074613 0.18058 -1220.6
## - age:hip 1 0.0081246 0.18124 -1219.9
## - chol 1 0.0096454 0.18276 -1218.4
## - hdl:ratio 1 0.0109230 0.18404 -1217.1
## - age:bp.1d 1 0.0120359 0.18515 -1216.0
## - stab.glu:gender 1 0.0129175 0.18604 -1215.1
##
## Step: AIC=-1227.05
## 1/data.t$glyhb ~ chol + stab.glu + hdl + ratio + age + gender +
## height + weight + bp.1s + bp.1d + waist + hip + time.ppn +
## stab.glu:gender + hdl:ratio + age:bp.1d + weight:bp.1s +
## age:hip + hip:time.ppn + gender:height + stab.glu:bp.1s +
## hdl:age
##
## Df Sum of Sq RSS AIC
## + stab.glu:time.ppn 1 0.0021611 0.17213 -1227.3
## + age:waist 1 0.0020133 0.17227 -1227.2
## <none> 0.17429 -1227.0
## + height:hip 1 0.0017195 0.17257 -1226.9
## + age:bp.1s 1 0.0013165 0.17297 -1226.4
## + stab.glu:waist 1 0.0012819 0.17300 -1226.4
## + bp.1s:waist 1 0.0012496 0.17304 -1226.4
## + ratio:gender 1 0.0012490 0.17304 -1226.4
## + bp.1d:hip 1 0.0012176 0.17307 -1226.3
## + age:gender 1 0.0011676 0.17312 -1226.3
## + bp.1d:waist 1 0.0011629 0.17312 -1226.3
## + hdl:gender 1 0.0011620 0.17312 -1226.3
## + hdl:hip 1 0.0011167 0.17317 -1226.2
## + height:weight 1 0.0010891 0.17320 -1226.2
## + chol:weight 1 0.0009884 0.17330 -1226.1
## + weight:hip 1 0.0009520 0.17333 -1226.0
## + ratio:bp.1d 1 0.0009368 0.17335 -1226.0
## + bp.1s:time.ppn 1 0.0008131 0.17347 -1225.9
## + hdl:weight 1 0.0008092 0.17348 -1225.9
## + stab.glu:hip 1 0.0007575 0.17353 -1225.8
## + stab.glu:weight 1 0.0007318 0.17355 -1225.8
## + bp.1s:hip 1 0.0007093 0.17358 -1225.8
## + weight:bp.1d 1 0.0006923 0.17359 -1225.8
## + chol:hip 1 0.0006858 0.17360 -1225.8
## + ratio:bp.1s 1 0.0006804 0.17361 -1225.8
## + hdl:bp.1d 1 0.0006485 0.17364 -1225.7
## + height:bp.1s 1 0.0006068 0.17368 -1225.7
## + height:waist 1 0.0005986 0.17369 -1225.7
## + weight:time.ppn 1 0.0005862 0.17370 -1225.7
## + chol:hdl 1 0.0005839 0.17370 -1225.7
## + weight:waist 1 0.0004950 0.17379 -1225.6
## + age:time.ppn 1 0.0004876 0.17380 -1225.6
## + gender:bp.1s 1 0.0004731 0.17381 -1225.5
## + waist:time.ppn 1 0.0004373 0.17385 -1225.5
## + stab.glu:height 1 0.0003888 0.17390 -1225.5
## + gender:waist 1 0.0003580 0.17393 -1225.4
## + waist:hip 1 0.0003424 0.17394 -1225.4
## + chol:ratio 1 0.0003382 0.17395 -1225.4
## + bp.1s:bp.1d 1 0.0003371 0.17395 -1225.4
## + gender:hip 1 0.0003366 0.17395 -1225.4
## + hdl:time.ppn 1 0.0003109 0.17397 -1225.4
## + chol:waist 1 0.0003024 0.17398 -1225.4
## + age:weight 1 0.0002911 0.17400 -1225.3
## + hdl:waist 1 0.0002765 0.17401 -1225.3
## + age:height 1 0.0002633 0.17402 -1225.3
## - hdl:age 1 0.0035916 0.17788 -1225.3
## + ratio:time.ppn 1 0.0002521 0.17403 -1225.3
## + height:time.ppn 1 0.0002286 0.17406 -1225.3
## + bp.1d:time.ppn 1 0.0002214 0.17406 -1225.3
## + chol:stab.glu 1 0.0002212 0.17406 -1225.3
## + hdl:bp.1s 1 0.0002146 0.17407 -1225.3
## + location 1 0.0002091 0.17408 -1225.3
## + gender:time.ppn 1 0.0001954 0.17409 -1225.2
## + chol:time.ppn 1 0.0001628 0.17412 -1225.2
## + ratio:waist 1 0.0001053 0.17418 -1225.2
## + ratio:age 1 0.0000999 0.17419 -1225.2
## + stab.glu:age 1 0.0000823 0.17420 -1225.1
## + ratio:hip 1 0.0000589 0.17423 -1225.1
## + stab.glu:ratio 1 0.0000581 0.17423 -1225.1
## + gender:bp.1d 1 0.0000542 0.17423 -1225.1
## + chol:age 1 0.0000410 0.17425 -1225.1
## + chol:height 1 0.0000325 0.17425 -1225.1
## + gender:weight 1 0.0000185 0.17427 -1225.1
## + chol:gender 1 0.0000162 0.17427 -1225.1
## + hdl:height 1 0.0000150 0.17427 -1225.1
## + stab.glu:hdl 1 0.0000145 0.17427 -1225.1
## + chol:bp.1s 1 0.0000104 0.17428 -1225.1
## + ratio:weight 1 0.0000089 0.17428 -1225.1
## + height:bp.1d 1 0.0000051 0.17428 -1225.0
## + stab.glu:bp.1d 1 0.0000031 0.17428 -1225.0
## + chol:bp.1d 1 0.0000020 0.17428 -1225.0
## + ratio:height 1 0.0000020 0.17428 -1225.0
## - waist 1 0.0044588 0.17874 -1224.4
## - gender:height 1 0.0046901 0.17898 -1224.2
## + frame 2 0.0004092 0.17388 -1223.5
## - stab.glu:bp.1s 1 0.0055116 0.17980 -1223.3
## - hip:time.ppn 1 0.0068183 0.18110 -1222.0
## - weight:bp.1s 1 0.0080118 0.18230 -1220.8
## - chol 1 0.0093465 0.18363 -1219.5
## - hdl:ratio 1 0.0108517 0.18514 -1218.0
## - stab.glu:gender 1 0.0117801 0.18607 -1217.1
## - age:hip 1 0.0122417 0.18653 -1216.6
## - age:bp.1d 1 0.0131979 0.18748 -1215.7
##
## Step: AIC=-1227.33
## 1/data.t$glyhb ~ chol + stab.glu + hdl + ratio + age + gender +
## height + weight + bp.1s + bp.1d + waist + hip + time.ppn +
## stab.glu:gender + hdl:ratio + age:bp.1d + weight:bp.1s +
## age:hip + hip:time.ppn + gender:height + stab.glu:bp.1s +
## hdl:age + stab.glu:time.ppn
##
## Df Sum of Sq RSS AIC
## + stab.glu:waist 1 0.0022290 0.16990 -1227.7
## <none> 0.17213 -1227.3
## + age:waist 1 0.0018676 0.17026 -1227.3
## + height:hip 1 0.0018542 0.17027 -1227.3
## + stab.glu:hip 1 0.0016956 0.17043 -1227.1
## + stab.glu:weight 1 0.0016754 0.17045 -1227.1
## - stab.glu:time.ppn 1 0.0021611 0.17429 -1227.0
## + chol:time.ppn 1 0.0015415 0.17058 -1227.0
## + bp.1d:hip 1 0.0014502 0.17067 -1226.9
## + waist:time.ppn 1 0.0014456 0.17068 -1226.9
## + age:gender 1 0.0014274 0.17070 -1226.8
## + height:weight 1 0.0013607 0.17076 -1226.8
## + bp.1d:waist 1 0.0013531 0.17077 -1226.8
## + age:bp.1s 1 0.0012539 0.17087 -1226.7
## + bp.1s:waist 1 0.0011401 0.17098 -1226.5
## + weight:hip 1 0.0010618 0.17106 -1226.5
## + weight:time.ppn 1 0.0010271 0.17110 -1226.4
## + chol:weight 1 0.0010107 0.17111 -1226.4
## + hdl:hip 1 0.0009939 0.17113 -1226.4
## + hdl:gender 1 0.0009779 0.17115 -1226.4
## + ratio:gender 1 0.0009743 0.17115 -1226.4
## + chol:hip 1 0.0008378 0.17129 -1226.2
## + height:waist 1 0.0008278 0.17130 -1226.2
## + weight:waist 1 0.0007979 0.17133 -1226.2
## + weight:bp.1d 1 0.0007312 0.17139 -1226.1
## + ratio:bp.1d 1 0.0007065 0.17142 -1226.1
## + bp.1s:hip 1 0.0006258 0.17150 -1226.0
## + chol:hdl 1 0.0005888 0.17154 -1226.0
## + hdl:weight 1 0.0005737 0.17155 -1225.9
## + hdl:bp.1d 1 0.0005482 0.17158 -1225.9
## + ratio:bp.1s 1 0.0005439 0.17158 -1225.9
## + gender:waist 1 0.0005365 0.17159 -1225.9
## + height:bp.1s 1 0.0004876 0.17164 -1225.8
## + gender:hip 1 0.0004401 0.17169 -1225.8
## + waist:hip 1 0.0003880 0.17174 -1225.7
## + bp.1s:bp.1d 1 0.0003524 0.17177 -1225.7
## + gender:bp.1s 1 0.0003411 0.17178 -1225.7
## + ratio:waist 1 0.0003267 0.17180 -1225.7
## + chol:waist 1 0.0003231 0.17180 -1225.7
## + age:height 1 0.0003175 0.17181 -1225.7
## + gender:time.ppn 1 0.0002849 0.17184 -1225.6
## + age:weight 1 0.0002774 0.17185 -1225.6
## + stab.glu:age 1 0.0001788 0.17195 -1225.5
## + hdl:bp.1s 1 0.0001738 0.17195 -1225.5
## + bp.1s:time.ppn 1 0.0001646 0.17196 -1225.5
## + chol:ratio 1 0.0001632 0.17196 -1225.5
## + height:time.ppn 1 0.0001555 0.17197 -1225.5
## + hdl:time.ppn 1 0.0001323 0.17199 -1225.5
## + chol:stab.glu 1 0.0001275 0.17200 -1225.5
## + ratio:age 1 0.0000981 0.17203 -1225.4
## + hdl:waist 1 0.0000823 0.17204 -1225.4
## + location 1 0.0000702 0.17206 -1225.4
## + gender:weight 1 0.0000632 0.17206 -1225.4
## + ratio:weight 1 0.0000619 0.17206 -1225.4
## + stab.glu:bp.1d 1 0.0000529 0.17207 -1225.4
## + chol:age 1 0.0000456 0.17208 -1225.4
## + stab.glu:ratio 1 0.0000435 0.17208 -1225.4
## + ratio:time.ppn 1 0.0000423 0.17208 -1225.4
## + bp.1d:time.ppn 1 0.0000341 0.17209 -1225.4
## + chol:height 1 0.0000324 0.17209 -1225.4
## + hdl:height 1 0.0000227 0.17210 -1225.4
## + stab.glu:height 1 0.0000224 0.17210 -1225.3
## + chol:gender 1 0.0000200 0.17211 -1225.3
## + chol:bp.1s 1 0.0000165 0.17211 -1225.3
## + ratio:hip 1 0.0000142 0.17211 -1225.3
## + height:bp.1d 1 0.0000103 0.17211 -1225.3
## + stab.glu:hdl 1 0.0000033 0.17212 -1225.3
## + gender:bp.1d 1 0.0000006 0.17212 -1225.3
## + chol:bp.1d 1 0.0000003 0.17212 -1225.3
## + ratio:height 1 0.0000001 0.17213 -1225.3
## + age:time.ppn 1 0.0000000 0.17213 -1225.3
## - hdl:age 1 0.0038948 0.17602 -1225.2
## - waist 1 0.0045931 0.17672 -1224.5
## - gender:height 1 0.0047264 0.17685 -1224.4
## + frame 2 0.0002903 0.17183 -1223.6
## - stab.glu:bp.1s 1 0.0062913 0.17842 -1222.8
## - hip:time.ppn 1 0.0065331 0.17866 -1222.5
## - weight:bp.1s 1 0.0075630 0.17969 -1221.5
## - chol 1 0.0093540 0.18148 -1219.7
## - age:hip 1 0.0105668 0.18269 -1218.4
## - hdl:ratio 1 0.0110341 0.18316 -1218.0
## - stab.glu:gender 1 0.0117465 0.18387 -1217.2
## - age:bp.1d 1 0.0133598 0.18549 -1215.7
##
## Step: AIC=-1227.72
## 1/data.t$glyhb ~ chol + stab.glu + hdl + ratio + age + gender +
## height + weight + bp.1s + bp.1d + waist + hip + time.ppn +
## stab.glu:gender + hdl:ratio + age:bp.1d + weight:bp.1s +
## age:hip + hip:time.ppn + gender:height + stab.glu:bp.1s +
## hdl:age + stab.glu:time.ppn + stab.glu:waist
##
## Df Sum of Sq RSS AIC
## + age:waist 1 0.0019695 0.16793 -1227.8
## <none> 0.16990 -1227.7
## + chol:time.ppn 1 0.0016905 0.16820 -1227.5
## + hdl:weight 1 0.0016884 0.16821 -1227.5
## + hdl:hip 1 0.0016113 0.16828 -1227.5
## - stab.glu:waist 1 0.0022290 0.17213 -1227.3
## + age:bp.1s 1 0.0013785 0.16852 -1227.2
## + chol:weight 1 0.0013520 0.16854 -1227.2
## + bp.1s:waist 1 0.0012650 0.16863 -1227.1
## + age:gender 1 0.0012251 0.16867 -1227.0
## + height:hip 1 0.0012242 0.16867 -1227.0
## + waist:time.ppn 1 0.0011228 0.16877 -1226.9
## + bp.1d:waist 1 0.0011071 0.16879 -1226.9
## + bp.1d:hip 1 0.0009987 0.16890 -1226.8
## + chol:hdl 1 0.0009196 0.16898 -1226.7
## + chol:hip 1 0.0007971 0.16910 -1226.6
## + ratio:gender 1 0.0007641 0.16913 -1226.5
## + bp.1s:hip 1 0.0007475 0.16915 -1226.5
## + stab.glu:age 1 0.0007430 0.16915 -1226.5
## + hdl:gender 1 0.0007293 0.16917 -1226.5
## + weight:hip 1 0.0007172 0.16918 -1226.5
## - stab.glu:time.ppn 1 0.0031083 0.17300 -1226.4
## + height:weight 1 0.0006235 0.16927 -1226.4
## + bp.1s:bp.1d 1 0.0005652 0.16933 -1226.3
## + hdl:waist 1 0.0005057 0.16939 -1226.3
## + chol:ratio 1 0.0004611 0.16944 -1226.2
## + gender:bp.1s 1 0.0004566 0.16944 -1226.2
## + weight:bp.1d 1 0.0004490 0.16945 -1226.2
## + weight:time.ppn 1 0.0004125 0.16948 -1226.2
## + height:bp.1s 1 0.0003936 0.16950 -1226.1
## + ratio:bp.1d 1 0.0003867 0.16951 -1226.1
## + chol:waist 1 0.0003856 0.16951 -1226.1
## + hdl:bp.1d 1 0.0003686 0.16953 -1226.1
## + ratio:bp.1s 1 0.0003445 0.16955 -1226.1
## + height:waist 1 0.0003045 0.16959 -1226.0
## + chol:stab.glu 1 0.0002458 0.16965 -1226.0
## + hdl:time.ppn 1 0.0002292 0.16967 -1226.0
## + age:height 1 0.0002040 0.16969 -1225.9
## + gender:hip 1 0.0002015 0.16969 -1225.9
## + ratio:hip 1 0.0001855 0.16971 -1225.9
## + location 1 0.0001804 0.16972 -1225.9
## + gender:waist 1 0.0001732 0.16972 -1225.9
## + ratio:age 1 0.0001592 0.16974 -1225.9
## + waist:hip 1 0.0001513 0.16974 -1225.9
## + gender:time.ppn 1 0.0001408 0.16975 -1225.9
## + height:time.ppn 1 0.0001345 0.16976 -1225.9
## + bp.1s:time.ppn 1 0.0001245 0.16977 -1225.8
## + chol:age 1 0.0001025 0.16979 -1225.8
## + age:weight 1 0.0001019 0.16979 -1225.8
## + chol:height 1 0.0000935 0.16980 -1225.8
## + weight:waist 1 0.0000912 0.16981 -1225.8
## + hdl:bp.1s 1 0.0000900 0.16981 -1225.8
## + ratio:weight 1 0.0000843 0.16981 -1225.8
## + stab.glu:ratio 1 0.0000644 0.16983 -1225.8
## + stab.glu:bp.1d 1 0.0000403 0.16986 -1225.8
## + height:bp.1d 1 0.0000321 0.16986 -1225.8
## + hdl:height 1 0.0000284 0.16987 -1225.8
## + chol:bp.1s 1 0.0000262 0.16987 -1225.7
## + stab.glu:weight 1 0.0000148 0.16988 -1225.7
## + stab.glu:height 1 0.0000136 0.16988 -1225.7
## + gender:weight 1 0.0000116 0.16988 -1225.7
## + ratio:time.ppn 1 0.0000097 0.16989 -1225.7
## + ratio:waist 1 0.0000081 0.16989 -1225.7
## + bp.1d:time.ppn 1 0.0000077 0.16989 -1225.7
## + chol:bp.1d 1 0.0000074 0.16989 -1225.7
## + ratio:height 1 0.0000027 0.16989 -1225.7
## + stab.glu:hdl 1 0.0000013 0.16989 -1225.7
## + age:time.ppn 1 0.0000013 0.16989 -1225.7
## + chol:gender 1 0.0000007 0.16989 -1225.7
## + gender:bp.1d 1 0.0000004 0.16989 -1225.7
## + stab.glu:hip 1 0.0000003 0.16989 -1225.7
## - hdl:age 1 0.0038163 0.17371 -1225.7
## - gender:height 1 0.0043216 0.17422 -1225.1
## + frame 2 0.0001142 0.16978 -1223.8
## - weight:bp.1s 1 0.0068809 0.17678 -1222.5
## - hip:time.ppn 1 0.0073589 0.17725 -1222.0
## - stab.glu:bp.1s 1 0.0079419 0.17784 -1221.4
## - chol 1 0.0099718 0.17987 -1219.3
## - hdl:ratio 1 0.0113221 0.18122 -1217.9
## - age:hip 1 0.0116321 0.18153 -1217.6
## - stab.glu:gender 1 0.0117494 0.18165 -1217.5
## - age:bp.1d 1 0.0126181 0.18251 -1216.6
##
## Step: AIC=-1227.85
## 1/data.t$glyhb ~ chol + stab.glu + hdl + ratio + age + gender +
## height + weight + bp.1s + bp.1d + waist + hip + time.ppn +
## stab.glu:gender + hdl:ratio + age:bp.1d + weight:bp.1s +
## age:hip + hip:time.ppn + gender:height + stab.glu:bp.1s +
## hdl:age + stab.glu:time.ppn + stab.glu:waist + age:waist
##
## Df Sum of Sq RSS AIC
## + chol:time.ppn 1 0.0021055 0.16582 -1228.2
## + waist:time.ppn 1 0.0018977 0.16603 -1227.9
## <none> 0.16793 -1227.8
## - age:waist 1 0.0019695 0.16990 -1227.7
## + height:hip 1 0.0016640 0.16626 -1227.7
## + age:bp.1s 1 0.0014759 0.16645 -1227.5
## + hdl:weight 1 0.0014444 0.16648 -1227.4
## + hdl:hip 1 0.0013704 0.16656 -1227.3
## - stab.glu:waist 1 0.0023308 0.17026 -1227.3
## + chol:weight 1 0.0011322 0.16679 -1227.1
## + height:weight 1 0.0011067 0.16682 -1227.1
## + bp.1s:hip 1 0.0010010 0.16692 -1226.9
## + weight:hip 1 0.0009764 0.16695 -1226.9
## + bp.1d:waist 1 0.0009462 0.16698 -1226.9
## + chol:hip 1 0.0008692 0.16706 -1226.8
## + stab.glu:age 1 0.0008643 0.16706 -1226.8
## + bp.1s:bp.1d 1 0.0008041 0.16712 -1226.7
## + hdl:time.ppn 1 0.0008022 0.16712 -1226.7
## + bp.1d:hip 1 0.0007379 0.16719 -1226.7
## - stab.glu:time.ppn 1 0.0029591 0.17089 -1226.7
## - hdl:age 1 0.0030149 0.17094 -1226.6
## + hdl:gender 1 0.0005601 0.16737 -1226.5
## + chol:hdl 1 0.0005598 0.16737 -1226.5
## + weight:time.ppn 1 0.0005572 0.16737 -1226.5
## + ratio:gender 1 0.0005152 0.16741 -1226.4
## + height:waist 1 0.0004914 0.16744 -1226.4
## + age:gender 1 0.0004727 0.16745 -1226.4
## + gender:bp.1s 1 0.0003816 0.16754 -1226.3
## + ratio:bp.1s 1 0.0003691 0.16756 -1226.2
## + bp.1s:waist 1 0.0003666 0.16756 -1226.2
## + height:bp.1s 1 0.0003312 0.16759 -1226.2
## + waist:hip 1 0.0003236 0.16760 -1226.2
## + hdl:bp.1d 1 0.0002903 0.16764 -1226.2
## + ratio:bp.1d 1 0.0002855 0.16764 -1226.2
## + hdl:waist 1 0.0002847 0.16764 -1226.2
## + chol:ratio 1 0.0002729 0.16765 -1226.2
## + hdl:bp.1s 1 0.0002462 0.16768 -1226.1
## + weight:waist 1 0.0002046 0.16772 -1226.1
## + gender:hip 1 0.0001956 0.16773 -1226.1
## + location 1 0.0001930 0.16773 -1226.1
## + height:bp.1d 1 0.0001890 0.16774 -1226.1
## + age:weight 1 0.0001877 0.16774 -1226.0
## + chol:waist 1 0.0001751 0.16775 -1226.0
## + chol:stab.glu 1 0.0001466 0.16778 -1226.0
## + weight:bp.1d 1 0.0001310 0.16779 -1226.0
## + gender:waist 1 0.0001155 0.16781 -1226.0
## + gender:time.ppn 1 0.0001116 0.16781 -1226.0
## + ratio:age 1 0.0001063 0.16782 -1226.0
## + ratio:hip 1 0.0001043 0.16782 -1226.0
## + height:time.ppn 1 0.0001018 0.16782 -1226.0
## + ratio:weight 1 0.0000897 0.16784 -1226.0
## + bp.1s:time.ppn 1 0.0000805 0.16785 -1225.9
## + stab.glu:ratio 1 0.0000572 0.16787 -1225.9
## + stab.glu:hdl 1 0.0000546 0.16787 -1225.9
## + hdl:height 1 0.0000518 0.16787 -1225.9
## + stab.glu:hip 1 0.0000506 0.16788 -1225.9
## + age:time.ppn 1 0.0000488 0.16788 -1225.9
## + ratio:height 1 0.0000415 0.16789 -1225.9
## + gender:bp.1d 1 0.0000356 0.16789 -1225.9
## + age:height 1 0.0000351 0.16789 -1225.9
## + ratio:time.ppn 1 0.0000296 0.16790 -1225.9
## + chol:age 1 0.0000282 0.16790 -1225.9
## + chol:height 1 0.0000254 0.16790 -1225.9
## + stab.glu:bp.1d 1 0.0000247 0.16790 -1225.9
## + stab.glu:height 1 0.0000150 0.16791 -1225.9
## + chol:bp.1d 1 0.0000066 0.16792 -1225.9
## + chol:gender 1 0.0000043 0.16792 -1225.8
## + bp.1d:time.ppn 1 0.0000031 0.16792 -1225.8
## + gender:weight 1 0.0000008 0.16792 -1225.8
## + ratio:waist 1 0.0000004 0.16793 -1225.8
## + chol:bp.1s 1 0.0000003 0.16793 -1225.8
## + stab.glu:weight 1 0.0000001 0.16793 -1225.8
## - gender:height 1 0.0043405 0.17227 -1225.2
## + frame 2 0.0000443 0.16788 -1223.9
## - weight:bp.1s 1 0.0057009 0.17363 -1223.7
## - stab.glu:bp.1s 1 0.0082894 0.17622 -1221.0
## - hip:time.ppn 1 0.0084288 0.17636 -1220.9
## - chol 1 0.0102824 0.17821 -1219.0
## - age:hip 1 0.0103722 0.17830 -1218.9
## - hdl:ratio 1 0.0114362 0.17936 -1217.8
## - age:bp.1d 1 0.0116848 0.17961 -1217.5
## - stab.glu:gender 1 0.0123026 0.18023 -1216.9
##
## Step: AIC=-1228.16
## 1/data.t$glyhb ~ chol + stab.glu + hdl + ratio + age + gender +
## height + weight + bp.1s + bp.1d + waist + hip + time.ppn +
## stab.glu:gender + hdl:ratio + age:bp.1d + weight:bp.1s +
## age:hip + hip:time.ppn + gender:height + stab.glu:bp.1s +
## hdl:age + stab.glu:time.ppn + stab.glu:waist + age:waist +
## chol:time.ppn
##
## Df Sum of Sq RSS AIC
## + hdl:weight 1 0.0018865 0.16393 -1228.2
## <none> 0.16582 -1228.2
## + waist:time.ppn 1 0.0017161 0.16411 -1228.1
## + chol:weight 1 0.0016244 0.16420 -1228.0
## - chol:time.ppn 1 0.0021055 0.16793 -1227.8
## + height:hip 1 0.0015115 0.16431 -1227.8
## + hdl:hip 1 0.0013570 0.16446 -1227.7
## + weight:hip 1 0.0012902 0.16453 -1227.6
## - age:waist 1 0.0023844 0.16820 -1227.5
## + bp.1d:waist 1 0.0011404 0.16468 -1227.4
## - stab.glu:waist 1 0.0025133 0.16833 -1227.4
## + age:bp.1s 1 0.0010712 0.16475 -1227.3
## + chol:hip 1 0.0010690 0.16475 -1227.3
## + weight:time.ppn 1 0.0010356 0.16478 -1227.3
## + stab.glu:age 1 0.0010260 0.16479 -1227.3
## + chol:hdl 1 0.0009252 0.16490 -1227.2
## + bp.1d:hip 1 0.0009153 0.16491 -1227.2
## + height:weight 1 0.0008347 0.16499 -1227.1
## - hdl:age 1 0.0028167 0.16864 -1227.1
## + age:gender 1 0.0008101 0.16501 -1227.1
## + bp.1s:hip 1 0.0007968 0.16502 -1227.0
## + hdl:bp.1d 1 0.0006873 0.16513 -1226.9
## + ratio:bp.1d 1 0.0006483 0.16517 -1226.9
## + bp.1s:bp.1d 1 0.0006155 0.16520 -1226.8
## + hdl:waist 1 0.0005429 0.16528 -1226.8
## + height:time.ppn 1 0.0005046 0.16532 -1226.7
## + waist:hip 1 0.0004737 0.16535 -1226.7
## + height:waist 1 0.0004412 0.16538 -1226.7
## + ratio:time.ppn 1 0.0004351 0.16539 -1226.6
## + chol:ratio 1 0.0004344 0.16539 -1226.6
## + ratio:bp.1s 1 0.0004157 0.16540 -1226.6
## + location 1 0.0003812 0.16544 -1226.6
## + chol:waist 1 0.0003475 0.16547 -1226.5
## + bp.1s:time.ppn 1 0.0003382 0.16548 -1226.5
## + gender:bp.1s 1 0.0003341 0.16549 -1226.5
## + weight:bp.1d 1 0.0003063 0.16551 -1226.5
## + gender:time.ppn 1 0.0002990 0.16552 -1226.5
## + height:bp.1s 1 0.0002936 0.16553 -1226.5
## + ratio:gender 1 0.0002727 0.16555 -1226.5
## + bp.1s:waist 1 0.0002656 0.16556 -1226.5
## + weight:waist 1 0.0002601 0.16556 -1226.5
## + ratio:age 1 0.0002525 0.16557 -1226.4
## + hdl:time.ppn 1 0.0002436 0.16558 -1226.4
## + hdl:gender 1 0.0002392 0.16558 -1226.4
## + hdl:bp.1s 1 0.0002189 0.16560 -1226.4
## + chol:stab.glu 1 0.0001855 0.16564 -1226.4
## + age:weight 1 0.0001699 0.16565 -1226.3
## + ratio:height 1 0.0001440 0.16568 -1226.3
## + hdl:height 1 0.0001266 0.16569 -1226.3
## + gender:weight 1 0.0001035 0.16572 -1226.3
## + age:height 1 0.0000990 0.16572 -1226.3
## + ratio:weight 1 0.0000952 0.16573 -1226.3
## + chol:age 1 0.0000810 0.16574 -1226.2
## + height:bp.1d 1 0.0000751 0.16575 -1226.2
## + stab.glu:height 1 0.0000736 0.16575 -1226.2
## + stab.glu:hdl 1 0.0000685 0.16575 -1226.2
## + ratio:hip 1 0.0000648 0.16576 -1226.2
## + bp.1d:time.ppn 1 0.0000500 0.16577 -1226.2
## + gender:hip 1 0.0000333 0.16579 -1226.2
## + gender:waist 1 0.0000236 0.16580 -1226.2
## + stab.glu:ratio 1 0.0000168 0.16580 -1226.2
## + chol:height 1 0.0000125 0.16581 -1226.2
## + stab.glu:hip 1 0.0000100 0.16581 -1226.2
## + age:time.ppn 1 0.0000063 0.16581 -1226.2
## + chol:bp.1d 1 0.0000034 0.16582 -1226.2
## + chol:bp.1s 1 0.0000033 0.16582 -1226.2
## + stab.glu:bp.1d 1 0.0000019 0.16582 -1226.2
## + stab.glu:weight 1 0.0000016 0.16582 -1226.2
## + ratio:waist 1 0.0000007 0.16582 -1226.2
## + gender:bp.1d 1 0.0000000 0.16582 -1226.2
## + chol:gender 1 0.0000000 0.16582 -1226.2
## - stab.glu:time.ppn 1 0.0048355 0.17066 -1224.9
## - gender:height 1 0.0051301 0.17095 -1224.6
## + frame 2 0.0000492 0.16577 -1224.2
## - weight:bp.1s 1 0.0057938 0.17161 -1223.9
## - hip:time.ppn 1 0.0083947 0.17422 -1221.1
## - stab.glu:bp.1s 1 0.0090807 0.17490 -1220.4
## - age:hip 1 0.0111657 0.17699 -1218.2
## - hdl:ratio 1 0.0119910 0.17781 -1217.4
## - age:bp.1d 1 0.0124276 0.17825 -1216.9
## - stab.glu:gender 1 0.0131584 0.17898 -1216.2
##
## Step: AIC=-1228.25
## 1/data.t$glyhb ~ chol + stab.glu + hdl + ratio + age + gender +
## height + weight + bp.1s + bp.1d + waist + hip + time.ppn +
## stab.glu:gender + hdl:ratio + age:bp.1d + weight:bp.1s +
## age:hip + hip:time.ppn + gender:height + stab.glu:bp.1s +
## hdl:age + stab.glu:time.ppn + stab.glu:waist + age:waist +
## chol:time.ppn + hdl:weight
##
## Df Sum of Sq RSS AIC
## - hdl:age 1 0.0015606 0.16550 -1228.5
## + weight:hip 1 0.0019462 0.16199 -1228.4
## + bp.1d:waist 1 0.0018906 0.16204 -1228.4
## + waist:time.ppn 1 0.0018326 0.16210 -1228.3
## <none> 0.16393 -1228.2
## - hdl:weight 1 0.0018865 0.16582 -1228.2
## - age:waist 1 0.0021270 0.16606 -1227.9
## + stab.glu:age 1 0.0013702 0.16256 -1227.8
## + ratio:weight 1 0.0013453 0.16259 -1227.8
## + age:gender 1 0.0012741 0.16266 -1227.7
## + height:hip 1 0.0012022 0.16273 -1227.6
## + bp.1d:hip 1 0.0011778 0.16276 -1227.6
## + ratio:waist 1 0.0010548 0.16288 -1227.4
## - chol:time.ppn 1 0.0025476 0.16648 -1227.4
## + chol:weight 1 0.0010232 0.16291 -1227.4
## + age:bp.1s 1 0.0009145 0.16302 -1227.3
## + waist:hip 1 0.0008770 0.16306 -1227.2
## + weight:waist 1 0.0008694 0.16306 -1227.2
## + chol:hip 1 0.0008360 0.16310 -1227.2
## + weight:time.ppn 1 0.0007782 0.16316 -1227.1
## + bp.1s:hip 1 0.0007731 0.16316 -1227.1
## + weight:bp.1d 1 0.0006654 0.16327 -1227.0
## + height:weight 1 0.0006602 0.16327 -1227.0
## + bp.1s:bp.1d 1 0.0006399 0.16329 -1227.0
## + hdl:waist 1 0.0006146 0.16332 -1226.9
## + bp.1s:time.ppn 1 0.0005913 0.16334 -1226.9
## + chol:hdl 1 0.0005832 0.16335 -1226.9
## + ratio:hip 1 0.0005771 0.16336 -1226.9
## + height:waist 1 0.0005707 0.16336 -1226.9
## + location 1 0.0005564 0.16338 -1226.9
## + ratio:time.ppn 1 0.0005211 0.16341 -1226.8
## + ratio:bp.1d 1 0.0005057 0.16343 -1226.8
## + hdl:gender 1 0.0004524 0.16348 -1226.8
## + hdl:bp.1d 1 0.0004162 0.16352 -1226.7
## + height:time.ppn 1 0.0004036 0.16353 -1226.7
## + ratio:gender 1 0.0003777 0.16356 -1226.7
## + gender:bp.1s 1 0.0003136 0.16362 -1226.6
## + age:height 1 0.0003004 0.16363 -1226.6
## + ratio:bp.1s 1 0.0002800 0.16365 -1226.6
## + hdl:time.ppn 1 0.0002754 0.16366 -1226.6
## + height:bp.1s 1 0.0002238 0.16371 -1226.5
## + ratio:age 1 0.0002088 0.16373 -1226.5
## + stab.glu:height 1 0.0002078 0.16373 -1226.5
## + chol:ratio 1 0.0001965 0.16374 -1226.5
## + stab.glu:weight 1 0.0001836 0.16375 -1226.5
## + chol:stab.glu 1 0.0001735 0.16376 -1226.5
## + bp.1d:time.ppn 1 0.0001627 0.16377 -1226.4
## + gender:time.ppn 1 0.0001432 0.16379 -1226.4
## + bp.1s:waist 1 0.0001381 0.16380 -1226.4
## + hdl:bp.1s 1 0.0001365 0.16380 -1226.4
## + chol:waist 1 0.0001189 0.16381 -1226.4
## + stab.glu:hdl 1 0.0001044 0.16383 -1226.4
## + gender:waist 1 0.0000900 0.16384 -1226.3
## + gender:weight 1 0.0000665 0.16387 -1226.3
## + height:bp.1d 1 0.0000645 0.16387 -1226.3
## + ratio:height 1 0.0000448 0.16389 -1226.3
## + gender:hip 1 0.0000346 0.16390 -1226.3
## + hdl:hip 1 0.0000341 0.16390 -1226.3
## + chol:gender 1 0.0000306 0.16390 -1226.3
## + chol:age 1 0.0000278 0.16391 -1226.3
## + hdl:height 1 0.0000211 0.16391 -1226.3
## + stab.glu:ratio 1 0.0000170 0.16392 -1226.3
## + stab.glu:hip 1 0.0000105 0.16392 -1226.3
## + chol:bp.1d 1 0.0000085 0.16393 -1226.3
## + age:time.ppn 1 0.0000055 0.16393 -1226.3
## + stab.glu:bp.1d 1 0.0000045 0.16393 -1226.3
## + chol:bp.1s 1 0.0000036 0.16393 -1226.3
## + gender:bp.1d 1 0.0000033 0.16393 -1226.3
## + age:weight 1 0.0000006 0.16393 -1226.2
## + chol:height 1 0.0000004 0.16393 -1226.2
## - stab.glu:waist 1 0.0037778 0.16771 -1226.1
## - weight:bp.1s 1 0.0042446 0.16818 -1225.6
## - stab.glu:time.ppn 1 0.0050091 0.16894 -1224.7
## + frame 2 0.0000496 0.16389 -1224.3
## - gender:height 1 0.0054460 0.16938 -1224.3
## - hip:time.ppn 1 0.0081999 0.17213 -1221.3
## - stab.glu:bp.1s 1 0.0101557 0.17409 -1219.2
## - age:hip 1 0.0108045 0.17474 -1218.6
## - stab.glu:gender 1 0.0114650 0.17540 -1217.9
## - hdl:ratio 1 0.0130139 0.17695 -1216.3
## - age:bp.1d 1 0.0132352 0.17717 -1216.0
##
## Step: AIC=-1228.52
## 1/data.t$glyhb ~ chol + stab.glu + hdl + ratio + age + gender +
## height + weight + bp.1s + bp.1d + waist + hip + time.ppn +
## stab.glu:gender + hdl:ratio + age:bp.1d + weight:bp.1s +
## age:hip + hip:time.ppn + gender:height + stab.glu:bp.1s +
## stab.glu:time.ppn + stab.glu:waist + age:waist + chol:time.ppn +
## hdl:weight
##
## Df Sum of Sq RSS AIC
## + waist:time.ppn 1 0.0026697 0.16282 -1229.5
## + bp.1d:waist 1 0.0023635 0.16313 -1229.2
## + ratio:waist 1 0.0020877 0.16341 -1228.8
## + weight:hip 1 0.0019862 0.16351 -1228.7
## + hdl:waist 1 0.0018415 0.16365 -1228.6
## + age:gender 1 0.0018222 0.16367 -1228.5
## <none> 0.16550 -1228.5
## + ratio:weight 1 0.0017473 0.16375 -1228.5
## + hdl:age 1 0.0015606 0.16393 -1228.2
## + chol:hdl 1 0.0014765 0.16402 -1228.2
## + chol:weight 1 0.0013472 0.16415 -1228.0
## + bp.1d:hip 1 0.0012991 0.16420 -1228.0
## + ratio:hip 1 0.0012565 0.16424 -1227.9
## + stab.glu:age 1 0.0011777 0.16432 -1227.8
## + waist:hip 1 0.0010118 0.16448 -1227.6
## - age:waist 1 0.0026357 0.16813 -1227.6
## + weight:bp.1d 1 0.0009951 0.16450 -1227.6
## + chol:hip 1 0.0009525 0.16454 -1227.6
## + height:hip 1 0.0008997 0.16459 -1227.5
## + weight:waist 1 0.0008693 0.16463 -1227.5
## - chol:time.ppn 1 0.0028368 0.16833 -1227.4
## + weight:time.ppn 1 0.0007318 0.16476 -1227.3
## + bp.1s:bp.1d 1 0.0007094 0.16479 -1227.3
## + age:height 1 0.0006443 0.16485 -1227.2
## + ratio:bp.1d 1 0.0005509 0.16494 -1227.1
## + height:waist 1 0.0005150 0.16498 -1227.1
## - hdl:weight 1 0.0031426 0.16864 -1227.1
## + bp.1s:hip 1 0.0004819 0.16501 -1227.0
## + ratio:time.ppn 1 0.0004780 0.16502 -1227.0
## + bp.1s:time.ppn 1 0.0004716 0.16502 -1227.0
## + height:time.ppn 1 0.0004059 0.16509 -1227.0
## + ratio:age 1 0.0003952 0.16510 -1227.0
## + chol:ratio 1 0.0003631 0.16513 -1226.9
## + stab.glu:hdl 1 0.0003448 0.16515 -1226.9
## + height:weight 1 0.0003359 0.16516 -1226.9
## + location 1 0.0003326 0.16516 -1226.9
## + age:bp.1s 1 0.0003316 0.16516 -1226.9
## + hdl:bp.1d 1 0.0003311 0.16516 -1226.9
## + hdl:height 1 0.0002970 0.16520 -1226.8
## + hdl:time.ppn 1 0.0002480 0.16525 -1226.8
## + gender:time.ppn 1 0.0002335 0.16526 -1226.8
## + ratio:height 1 0.0002265 0.16527 -1226.8
## + chol:age 1 0.0002115 0.16528 -1226.8
## + hdl:gender 1 0.0002078 0.16529 -1226.8
## + gender:bp.1s 1 0.0001979 0.16530 -1226.7
## + stab.glu:weight 1 0.0001940 0.16530 -1226.7
## + ratio:gender 1 0.0001918 0.16530 -1226.7
## + chol:waist 1 0.0001687 0.16533 -1226.7
## + height:bp.1s 1 0.0001567 0.16534 -1226.7
## + chol:stab.glu 1 0.0001551 0.16534 -1226.7
## + age:weight 1 0.0001401 0.16536 -1226.7
## + hdl:bp.1s 1 0.0001376 0.16536 -1226.7
## + bp.1s:waist 1 0.0001244 0.16537 -1226.7
## + hdl:hip 1 0.0001151 0.16538 -1226.7
## + gender:waist 1 0.0001086 0.16539 -1226.6
## + stab.glu:height 1 0.0001075 0.16539 -1226.6
## + gender:weight 1 0.0000954 0.16540 -1226.6
## + chol:bp.1s 1 0.0000885 0.16541 -1226.6
## + bp.1d:time.ppn 1 0.0000736 0.16542 -1226.6
## + stab.glu:hip 1 0.0000675 0.16543 -1226.6
## + chol:gender 1 0.0000432 0.16545 -1226.6
## + gender:bp.1d 1 0.0000286 0.16547 -1226.5
## + chol:bp.1d 1 0.0000207 0.16547 -1226.5
## + gender:hip 1 0.0000187 0.16548 -1226.5
## + age:time.ppn 1 0.0000124 0.16548 -1226.5
## + height:bp.1d 1 0.0000120 0.16548 -1226.5
## + stab.glu:ratio 1 0.0000044 0.16549 -1226.5
## + stab.glu:bp.1d 1 0.0000022 0.16549 -1226.5
## + ratio:bp.1s 1 0.0000004 0.16549 -1226.5
## + chol:height 1 0.0000001 0.16550 -1226.5
## - stab.glu:waist 1 0.0043402 0.16984 -1225.8
## - weight:bp.1s 1 0.0046889 0.17018 -1225.4
## - stab.glu:time.ppn 1 0.0048940 0.17039 -1225.2
## - gender:height 1 0.0049494 0.17044 -1225.1
## + frame 2 0.0000793 0.16542 -1224.6
## - hip:time.ppn 1 0.0079831 0.17348 -1221.9
## - stab.glu:bp.1s 1 0.0100263 0.17552 -1219.8
## - age:hip 1 0.0109306 0.17643 -1218.8
## - stab.glu:gender 1 0.0112016 0.17670 -1218.5
## - age:bp.1d 1 0.0127878 0.17828 -1216.9
## - hdl:ratio 1 0.0150028 0.18050 -1214.6
##
## Step: AIC=-1229.5
## 1/data.t$glyhb ~ chol + stab.glu + hdl + ratio + age + gender +
## height + weight + bp.1s + bp.1d + waist + hip + time.ppn +
## stab.glu:gender + hdl:ratio + age:bp.1d + weight:bp.1s +
## age:hip + hip:time.ppn + gender:height + stab.glu:bp.1s +
## stab.glu:time.ppn + stab.glu:waist + age:waist + chol:time.ppn +
## hdl:weight + waist:time.ppn
##
## Df Sum of Sq RSS AIC
## + bp.1d:waist 1 0.0018013 0.16102 -1229.5
## <none> 0.16282 -1229.5
## + weight:hip 1 0.0017082 0.16112 -1229.4
## + ratio:weight 1 0.0015527 0.16127 -1229.2
## + ratio:waist 1 0.0014735 0.16135 -1229.2
## + ratio:hip 1 0.0014272 0.16140 -1229.1
## + bp.1s:time.ppn 1 0.0013016 0.16152 -1229.0
## + age:gender 1 0.0012660 0.16156 -1228.9
## + chol:weight 1 0.0011348 0.16169 -1228.8
## + bp.1d:hip 1 0.0011104 0.16171 -1228.8
## + height:hip 1 0.0010918 0.16173 -1228.7
## - chol:time.ppn 1 0.0025063 0.16533 -1228.7
## + chol:hip 1 0.0009886 0.16184 -1228.6
## - waist:time.ppn 1 0.0026697 0.16550 -1228.5
## + hdl:waist 1 0.0008516 0.16197 -1228.5
## + stab.glu:age 1 0.0008070 0.16202 -1228.4
## + bp.1s:bp.1d 1 0.0007913 0.16203 -1228.4
## + chol:hdl 1 0.0007534 0.16207 -1228.3
## + hdl:age 1 0.0007235 0.16210 -1228.3
## - hdl:weight 1 0.0029021 0.16573 -1228.3
## + weight:bp.1d 1 0.0006764 0.16215 -1228.3
## + ratio:bp.1d 1 0.0006711 0.16215 -1228.2
## + waist:hip 1 0.0005961 0.16223 -1228.2
## + bp.1s:hip 1 0.0005915 0.16223 -1228.2
## + weight:waist 1 0.0005270 0.16230 -1228.1
## + age:time.ppn 1 0.0005030 0.16232 -1228.1
## + hdl:bp.1d 1 0.0004750 0.16235 -1228.0
## + height:time.ppn 1 0.0004738 0.16235 -1228.0
## + location 1 0.0004337 0.16239 -1228.0
## + age:bp.1s 1 0.0004310 0.16239 -1228.0
## + bp.1d:time.ppn 1 0.0004128 0.16241 -1228.0
## + height:weight 1 0.0004107 0.16241 -1228.0
## + age:height 1 0.0003809 0.16244 -1227.9
## + ratio:time.ppn 1 0.0003696 0.16246 -1227.9
## + height:waist 1 0.0003634 0.16246 -1227.9
## + gender:bp.1s 1 0.0002607 0.16256 -1227.8
## + ratio:height 1 0.0002384 0.16259 -1227.8
## + hdl:height 1 0.0002270 0.16260 -1227.8
## + chol:waist 1 0.0001976 0.16263 -1227.7
## + hdl:gender 1 0.0001801 0.16265 -1227.7
## + height:bp.1s 1 0.0001383 0.16269 -1227.7
## + gender:waist 1 0.0001377 0.16269 -1227.7
## + chol:ratio 1 0.0001346 0.16269 -1227.7
## + ratio:age 1 0.0001340 0.16269 -1227.7
## + ratio:gender 1 0.0001323 0.16269 -1227.6
## + chol:stab.glu 1 0.0001317 0.16269 -1227.6
## + hdl:time.ppn 1 0.0001315 0.16269 -1227.6
## + bp.1s:waist 1 0.0001262 0.16270 -1227.6
## + weight:time.ppn 1 0.0001216 0.16270 -1227.6
## + hdl:hip 1 0.0001180 0.16271 -1227.6
## - age:waist 1 0.0034852 0.16631 -1227.6
## + chol:age 1 0.0001000 0.16273 -1227.6
## + stab.glu:hdl 1 0.0000980 0.16273 -1227.6
## + ratio:bp.1s 1 0.0000763 0.16275 -1227.6
## + chol:gender 1 0.0000729 0.16275 -1227.6
## + gender:hip 1 0.0000662 0.16276 -1227.6
## + stab.glu:height 1 0.0000625 0.16276 -1227.6
## + gender:weight 1 0.0000504 0.16278 -1227.5
## + chol:bp.1s 1 0.0000471 0.16278 -1227.5
## + gender:bp.1d 1 0.0000391 0.16279 -1227.5
## + height:bp.1d 1 0.0000262 0.16280 -1227.5
## + age:weight 1 0.0000259 0.16280 -1227.5
## + chol:bp.1d 1 0.0000163 0.16281 -1227.5
## + stab.glu:hip 1 0.0000158 0.16281 -1227.5
## + stab.glu:ratio 1 0.0000080 0.16282 -1227.5
## + gender:time.ppn 1 0.0000043 0.16282 -1227.5
## - stab.glu:waist 1 0.0035949 0.16642 -1227.5
## + hdl:bp.1s 1 0.0000025 0.16282 -1227.5
## + stab.glu:weight 1 0.0000021 0.16282 -1227.5
## + stab.glu:bp.1d 1 0.0000007 0.16282 -1227.5
## + chol:height 1 0.0000002 0.16282 -1227.5
## - weight:bp.1s 1 0.0043757 0.16720 -1226.6
## - gender:height 1 0.0044211 0.16725 -1226.6
## + frame 2 0.0002158 0.16261 -1225.7
## - stab.glu:time.ppn 1 0.0064804 0.16931 -1224.3
## - hip:time.ppn 1 0.0088614 0.17169 -1221.8
## - stab.glu:bp.1s 1 0.0107669 0.17359 -1219.8
## - stab.glu:gender 1 0.0123763 0.17520 -1218.1
## - age:hip 1 0.0128004 0.17563 -1217.7
## - age:bp.1d 1 0.0137709 0.17660 -1216.6
## - hdl:ratio 1 0.0158629 0.17869 -1214.5
##
## Step: AIC=-1229.53
## 1/data.t$glyhb ~ chol + stab.glu + hdl + ratio + age + gender +
## height + weight + bp.1s + bp.1d + waist + hip + time.ppn +
## stab.glu:gender + hdl:ratio + age:bp.1d + weight:bp.1s +
## age:hip + hip:time.ppn + gender:height + stab.glu:bp.1s +
## stab.glu:time.ppn + stab.glu:waist + age:waist + chol:time.ppn +
## hdl:weight + waist:time.ppn + bp.1d:waist
##
## Df Sum of Sq RSS AIC
## + weight:hip 1 0.0026296 0.15839 -1230.5
## + ratio:weight 1 0.0018275 0.15920 -1229.6
## + ratio:waist 1 0.0017639 0.15926 -1229.5
## <none> 0.16102 -1229.5
## - bp.1d:waist 1 0.0018013 0.16282 -1229.5
## + ratio:hip 1 0.0017010 0.15932 -1229.5
## + bp.1s:hip 1 0.0015721 0.15945 -1229.3
## + chol:hip 1 0.0014769 0.15955 -1229.2
## - waist:time.ppn 1 0.0021074 0.16313 -1229.2
## + height:hip 1 0.0013823 0.15964 -1229.1
## + bp.1s:time.ppn 1 0.0013350 0.15969 -1229.0
## + chol:weight 1 0.0013032 0.15972 -1229.0
## + weight:waist 1 0.0011344 0.15989 -1228.8
## + height:time.ppn 1 0.0010114 0.16001 -1228.7
## + waist:hip 1 0.0009573 0.16007 -1228.6
## + stab.glu:age 1 0.0009275 0.16010 -1228.6
## + bp.1s:waist 1 0.0008906 0.16013 -1228.5
## + age:time.ppn 1 0.0007754 0.16025 -1228.4
## + age:gender 1 0.0006906 0.16033 -1228.3
## - chol:time.ppn 1 0.0028651 0.16389 -1228.3
## + height:weight 1 0.0006667 0.16036 -1228.3
## + gender:bp.1s 1 0.0006616 0.16036 -1228.3
## + bp.1s:bp.1d 1 0.0005862 0.16044 -1228.2
## + hdl:waist 1 0.0005839 0.16044 -1228.2
## - age:waist 1 0.0029620 0.16399 -1228.2
## + age:bp.1s 1 0.0005711 0.16045 -1228.2
## + hdl:age 1 0.0004953 0.16053 -1228.1
## + chol:waist 1 0.0004683 0.16056 -1228.1
## + chol:hdl 1 0.0004389 0.16059 -1228.0
## + height:waist 1 0.0004203 0.16060 -1228.0
## + ratio:time.ppn 1 0.0003610 0.16066 -1227.9
## + weight:bp.1d 1 0.0002863 0.16074 -1227.9
## + height:bp.1s 1 0.0002773 0.16075 -1227.8
## + location 1 0.0002748 0.16075 -1227.8
## + gender:waist 1 0.0002353 0.16079 -1227.8
## + ratio:height 1 0.0002312 0.16079 -1227.8
## + chol:gender 1 0.0002201 0.16080 -1227.8
## + ratio:bp.1d 1 0.0002143 0.16081 -1227.8
## + weight:time.ppn 1 0.0002117 0.16081 -1227.8
## + bp.1d:time.ppn 1 0.0002107 0.16081 -1227.8
## + gender:hip 1 0.0001903 0.16083 -1227.8
## + hdl:gender 1 0.0001776 0.16085 -1227.7
## + hdl:time.ppn 1 0.0001550 0.16087 -1227.7
## + age:height 1 0.0001507 0.16087 -1227.7
## + gender:bp.1d 1 0.0001152 0.16091 -1227.7
## + hdl:bp.1d 1 0.0001114 0.16091 -1227.7
## + stab.glu:height 1 0.0001005 0.16092 -1227.7
## + stab.glu:hdl 1 0.0000973 0.16093 -1227.6
## + chol:stab.glu 1 0.0000824 0.16094 -1227.6
## + chol:age 1 0.0000796 0.16094 -1227.6
## + age:weight 1 0.0000734 0.16095 -1227.6
## + hdl:hip 1 0.0000717 0.16095 -1227.6
## + ratio:age 1 0.0000656 0.16096 -1227.6
## + hdl:height 1 0.0000655 0.16096 -1227.6
## + ratio:bp.1s 1 0.0000627 0.16096 -1227.6
## + ratio:gender 1 0.0000616 0.16096 -1227.6
## + chol:ratio 1 0.0000574 0.16097 -1227.6
## + chol:height 1 0.0000328 0.16099 -1227.6
## + stab.glu:ratio 1 0.0000253 0.16100 -1227.6
## + stab.glu:bp.1d 1 0.0000224 0.16100 -1227.6
## + height:bp.1d 1 0.0000216 0.16100 -1227.6
## + gender:time.ppn 1 0.0000214 0.16100 -1227.6
## + chol:bp.1s 1 0.0000105 0.16101 -1227.5
## + stab.glu:hip 1 0.0000074 0.16102 -1227.5
## + gender:weight 1 0.0000020 0.16102 -1227.5
## + stab.glu:weight 1 0.0000020 0.16102 -1227.5
## + hdl:bp.1s 1 0.0000015 0.16102 -1227.5
## - stab.glu:waist 1 0.0035579 0.16458 -1227.5
## + chol:bp.1d 1 0.0000002 0.16102 -1227.5
## + bp.1d:hip 1 0.0000001 0.16102 -1227.5
## - hdl:weight 1 0.0036653 0.16469 -1227.4
## + frame 2 0.0003534 0.16067 -1225.9
## - gender:height 1 0.0057102 0.16673 -1225.2
## - weight:bp.1s 1 0.0061742 0.16720 -1224.7
## - stab.glu:time.ppn 1 0.0067609 0.16778 -1224.0
## - hip:time.ppn 1 0.0068957 0.16792 -1223.9
## - stab.glu:bp.1s 1 0.0099463 0.17097 -1220.6
## - stab.glu:gender 1 0.0124566 0.17348 -1217.9
## - age:hip 1 0.0132369 0.17426 -1217.1
## - age:bp.1d 1 0.0152602 0.17628 -1215.0
## - hdl:ratio 1 0.0158709 0.17689 -1214.3
##
## Step: AIC=-1230.54
## 1/data.t$glyhb ~ chol + stab.glu + hdl + ratio + age + gender +
## height + weight + bp.1s + bp.1d + waist + hip + time.ppn +
## stab.glu:gender + hdl:ratio + age:bp.1d + weight:bp.1s +
## age:hip + hip:time.ppn + gender:height + stab.glu:bp.1s +
## stab.glu:time.ppn + stab.glu:waist + age:waist + chol:time.ppn +
## hdl:weight + waist:time.ppn + bp.1d:waist + weight:hip
##
## Df Sum of Sq RSS AIC
## - waist:time.ppn 1 0.0016817 0.16008 -1230.6
## <none> 0.15839 -1230.5
## + bp.1s:hip 1 0.0015348 0.15686 -1230.3
## + height:time.ppn 1 0.0014477 0.15695 -1230.2
## + bp.1s:time.ppn 1 0.0013414 0.15705 -1230.1
## + ratio:weight 1 0.0012068 0.15719 -1229.9
## + ratio:waist 1 0.0011259 0.15727 -1229.8
## + chol:hip 1 0.0010464 0.15735 -1229.8
## + age:gender 1 0.0009923 0.15740 -1229.7
## + waist:hip 1 0.0009168 0.15748 -1229.6
## + ratio:hip 1 0.0009024 0.15749 -1229.6
## + bp.1s:waist 1 0.0009023 0.15749 -1229.6
## + stab.glu:age 1 0.0008705 0.15752 -1229.5
## - weight:hip 1 0.0026296 0.16102 -1229.5
## + bp.1s:bp.1d 1 0.0008289 0.15757 -1229.5
## + height:hip 1 0.0008016 0.15759 -1229.5
## + gender:bp.1s 1 0.0007893 0.15760 -1229.5
## + chol:weight 1 0.0007722 0.15762 -1229.4
## - bp.1d:waist 1 0.0027227 0.16112 -1229.4
## + age:time.ppn 1 0.0006956 0.15770 -1229.3
## + gender:waist 1 0.0006331 0.15776 -1229.3
## + gender:hip 1 0.0004906 0.15790 -1229.1
## + chol:gender 1 0.0004701 0.15792 -1229.1
## + hdl:gender 1 0.0004614 0.15793 -1229.1
## + hdl:age 1 0.0004544 0.15794 -1229.1
## + hdl:waist 1 0.0004436 0.15795 -1229.1
## + location 1 0.0004346 0.15796 -1229.0
## + height:weight 1 0.0004199 0.15797 -1229.0
## + age:bp.1s 1 0.0003738 0.15802 -1229.0
## + ratio:time.ppn 1 0.0003629 0.15803 -1229.0
## + chol:hdl 1 0.0003579 0.15804 -1229.0
## + height:waist 1 0.0003172 0.15808 -1228.9
## + height:bp.1s 1 0.0003001 0.15809 -1228.9
## - stab.glu:waist 1 0.0031958 0.16159 -1228.9
## + bp.1d:time.ppn 1 0.0002723 0.15812 -1228.9
## + gender:bp.1d 1 0.0002507 0.15814 -1228.8
## + weight:waist 1 0.0002482 0.15815 -1228.8
## + age:height 1 0.0002400 0.15815 -1228.8
## + chol:waist 1 0.0002207 0.15817 -1228.8
## + chol:height 1 0.0001755 0.15822 -1228.8
## - age:waist 1 0.0033289 0.16172 -1228.7
## + hdl:time.ppn 1 0.0001598 0.15823 -1228.7
## + weight:bp.1d 1 0.0001492 0.15824 -1228.7
## + age:weight 1 0.0001326 0.15826 -1228.7
## + ratio:gender 1 0.0001308 0.15826 -1228.7
## + stab.glu:hdl 1 0.0001240 0.15827 -1228.7
## + ratio:height 1 0.0001090 0.15829 -1228.7
## + weight:time.ppn 1 0.0001087 0.15829 -1228.7
## + gender:weight 1 0.0000826 0.15831 -1228.6
## + ratio:age 1 0.0000596 0.15834 -1228.6
## + stab.glu:height 1 0.0000512 0.15834 -1228.6
## + stab.glu:ratio 1 0.0000492 0.15835 -1228.6
## + chol:age 1 0.0000419 0.15835 -1228.6
## + gender:time.ppn 1 0.0000312 0.15836 -1228.6
## + chol:stab.glu 1 0.0000288 0.15837 -1228.6
## + chol:ratio 1 0.0000262 0.15837 -1228.6
## + stab.glu:bp.1d 1 0.0000249 0.15837 -1228.6
## + ratio:bp.1d 1 0.0000171 0.15838 -1228.6
## + height:bp.1d 1 0.0000115 0.15838 -1228.6
## + hdl:bp.1s 1 0.0000104 0.15838 -1228.6
## + hdl:height 1 0.0000104 0.15838 -1228.6
## + bp.1d:hip 1 0.0000085 0.15839 -1228.5
## + stab.glu:hip 1 0.0000015 0.15839 -1228.5
## + ratio:bp.1s 1 0.0000013 0.15839 -1228.5
## + hdl:hip 1 0.0000009 0.15839 -1228.5
## + chol:bp.1s 1 0.0000008 0.15839 -1228.5
## + chol:bp.1d 1 0.0000004 0.15839 -1228.5
## + hdl:bp.1d 1 0.0000001 0.15839 -1228.5
## + stab.glu:weight 1 0.0000001 0.15839 -1228.5
## - chol:time.ppn 1 0.0036303 0.16203 -1228.4
## - hdl:weight 1 0.0049263 0.16332 -1226.9
## + frame 2 0.0000758 0.15832 -1226.6
## - weight:bp.1s 1 0.0054151 0.16381 -1226.4
## - hip:time.ppn 1 0.0069559 0.16535 -1224.7
## - stab.glu:time.ppn 1 0.0071630 0.16556 -1224.5
## - gender:height 1 0.0072488 0.16564 -1224.4
## - stab.glu:bp.1s 1 0.0102983 0.16869 -1221.0
## - age:hip 1 0.0122841 0.17068 -1218.9
## - stab.glu:gender 1 0.0129067 0.17130 -1218.2
## - hdl:ratio 1 0.0160045 0.17440 -1214.9
## - age:bp.1d 1 0.0160819 0.17448 -1214.8
##
## Step: AIC=-1230.61
## 1/data.t$glyhb ~ chol + stab.glu + hdl + ratio + age + gender +
## height + weight + bp.1s + bp.1d + waist + hip + time.ppn +
## stab.glu:gender + hdl:ratio + age:bp.1d + weight:bp.1s +
## age:hip + hip:time.ppn + gender:height + stab.glu:bp.1s +
## stab.glu:time.ppn + stab.glu:waist + age:waist + chol:time.ppn +
## hdl:weight + bp.1d:waist + weight:hip
##
## Df Sum of Sq RSS AIC
## <none> 0.16008 -1230.6
## + waist:time.ppn 1 0.0016817 0.15839 -1230.5
## + ratio:waist 1 0.0015327 0.15854 -1230.4
## + bp.1s:hip 1 0.0015135 0.15856 -1230.3
## + height:time.ppn 1 0.0014705 0.15860 -1230.3
## + age:gender 1 0.0013284 0.15875 -1230.1
## + ratio:weight 1 0.0013265 0.15875 -1230.1
## + stab.glu:age 1 0.0011735 0.15890 -1230.0
## + chol:hip 1 0.0010385 0.15904 -1229.8
## + bp.1s:waist 1 0.0010297 0.15905 -1229.8
## + hdl:waist 1 0.0009843 0.15909 -1229.7
## + hdl:age 1 0.0009464 0.15913 -1229.7
## + chol:weight 1 0.0008909 0.15918 -1229.6
## - age:waist 1 0.0026645 0.16274 -1229.6
## + gender:bp.1s 1 0.0007687 0.15931 -1229.5
## + ratio:hip 1 0.0007643 0.15931 -1229.5
## + bp.1s:bp.1d 1 0.0007530 0.15932 -1229.5
## + chol:hdl 1 0.0007233 0.15935 -1229.4
## + height:hip 1 0.0006582 0.15942 -1229.4
## + gender:waist 1 0.0006378 0.15944 -1229.3
## + bp.1s:time.ppn 1 0.0006340 0.15944 -1229.3
## + weight:time.ppn 1 0.0005330 0.15954 -1229.2
## + hdl:gender 1 0.0005214 0.15956 -1229.2
## + waist:hip 1 0.0004975 0.15958 -1229.2
## - weight:hip 1 0.0030554 0.16313 -1229.2
## + chol:gender 1 0.0004563 0.15962 -1229.1
## + ratio:time.ppn 1 0.0004448 0.15963 -1229.1
## + height:waist 1 0.0004256 0.15965 -1229.1
## + gender:hip 1 0.0004152 0.15966 -1229.1
## + age:height 1 0.0003813 0.15970 -1229.0
## + height:weight 1 0.0003689 0.15971 -1229.0
## + location 1 0.0003448 0.15973 -1229.0
## + height:bp.1s 1 0.0003441 0.15973 -1229.0
## + stab.glu:hdl 1 0.0003229 0.15975 -1229.0
## + age:bp.1s 1 0.0003011 0.15978 -1229.0
## + gender:time.ppn 1 0.0002616 0.15981 -1228.9
## + hdl:time.ppn 1 0.0002597 0.15982 -1228.9
## + gender:bp.1d 1 0.0002570 0.15982 -1228.9
## + chol:height 1 0.0002160 0.15986 -1228.9
## + chol:waist 1 0.0002070 0.15987 -1228.8
## + ratio:age 1 0.0001919 0.15988 -1228.8
## + ratio:gender 1 0.0001717 0.15990 -1228.8
## + weight:bp.1d 1 0.0001321 0.15994 -1228.8
## + hdl:bp.1s 1 0.0001248 0.15995 -1228.8
## + chol:ratio 1 0.0001080 0.15997 -1228.7
## - bp.1d:waist 1 0.0034327 0.16351 -1228.7
## + stab.glu:weight 1 0.0000996 0.15998 -1228.7
## + ratio:height 1 0.0000950 0.15998 -1228.7
## + chol:age 1 0.0000949 0.15998 -1228.7
## + weight:waist 1 0.0000859 0.15999 -1228.7
## + stab.glu:height 1 0.0000835 0.15999 -1228.7
## + gender:weight 1 0.0000707 0.16001 -1228.7
## + age:weight 1 0.0000596 0.16002 -1228.7
## + bp.1d:time.ppn 1 0.0000436 0.16003 -1228.7
## + stab.glu:bp.1d 1 0.0000360 0.16004 -1228.7
## + ratio:bp.1s 1 0.0000336 0.16004 -1228.7
## + hdl:bp.1d 1 0.0000315 0.16004 -1228.7
## + chol:stab.glu 1 0.0000311 0.16004 -1228.7
## + age:time.ppn 1 0.0000293 0.16005 -1228.7
## + stab.glu:ratio 1 0.0000124 0.16006 -1228.6
## + hdl:height 1 0.0000101 0.16007 -1228.6
## + chol:bp.1s 1 0.0000053 0.16007 -1228.6
## + height:bp.1d 1 0.0000037 0.16007 -1228.6
## + stab.glu:hip 1 0.0000021 0.16007 -1228.6
## + chol:bp.1d 1 0.0000003 0.16008 -1228.6
## + ratio:bp.1d 1 0.0000000 0.16008 -1228.6
## + bp.1d:hip 1 0.0000000 0.16008 -1228.6
## + hdl:hip 1 0.0000000 0.16008 -1228.6
## - stab.glu:waist 1 0.0037104 0.16379 -1228.4
## - chol:time.ppn 1 0.0040752 0.16415 -1228.0
## + frame 2 0.0000144 0.16006 -1226.6
## - hdl:weight 1 0.0054383 0.16551 -1226.5
## - stab.glu:time.ppn 1 0.0059633 0.16604 -1225.9
## - weight:bp.1s 1 0.0060743 0.16615 -1225.8
## - hip:time.ppn 1 0.0073113 0.16739 -1224.4
## - gender:height 1 0.0082297 0.16831 -1223.4
## - stab.glu:bp.1s 1 0.0096910 0.16977 -1221.9
## - age:hip 1 0.0109318 0.17101 -1220.5
## - stab.glu:gender 1 0.0120288 0.17211 -1219.3
## - hdl:ratio 1 0.0153501 0.17543 -1215.8
## - age:bp.1d 1 0.0155477 0.17562 -1215.7
# Step: AIC=-1230.61
# 1/data.t$glyhb ~ chol + stab.glu + hdl + ratio + age + gender +
# height + weight + bp.1s + bp.1d + waist + hip + time.ppn +
# stab.glu:gender + hdl:ratio + age:bp.1d + weight:bp.1s +
# age:hip + hip:time.ppn + gender:height + stab.glu:bp.1s +
# stab.glu:time.ppn + stab.glu:waist + age:waist + chol:time.ppn +
# hdl:weight + bp.1d:waist + weight:hip
#10
n = nrow(data.t)
bic.fs1=n*log(sse.fs1)+p.fs1*log(n)-n*log(n)
bic.fs1 #-1049.11
## [1] -1049.11
sse.fs2=sum(fs2$residuals^2)
p.fs2=length(fs2$coefficients)
bic.fs2=n*log(sse.fs2)+p.fs2*log(n)-n*log(n)
bic.fs2 #-1137.536
## [1] -1137.536
#set Models 4.1 and 4.2
Model4.1 = fs1
Model4.2 = fs2
#11
PRESSModel3.1 = sum(Model3.1$residuals^2/(1-influence(Model3.1)$hat)^2)
PRESSModel3.2 = sum(Model3.2$residuals^2/(1-influence(Model3.2)$hat)^2)
PRESSModel3.3 = sum(Model3.3$residuals^2/(1-influence(Model3.3)$hat)^2)
PRESSModel4.1 = sum(Model4.1$residuals^2/(1-influence(Model4.1)$hat)^2)
PRESSModel4.2 = sum(Model4.2$residuals^2/(1-influence(Model4.2)$hat)^2)
PRESSModel3.1 #0.252777
## [1] 0.252777
PRESSModel3.2 #0.2539834
## [1] 0.2539834
PRESSModel3.3 #0.252575
## [1] 0.252575
PRESSModel4.1 #0.4742118
## [1] 0.4742118
PRESSModel4.2 #0.2171946
## [1] 0.2171946
#12
Yhat.3.1 = predict(Model3.1, newdata=data.v)
Y.3.1 = 1/data.v[,5]
m = nrow(data.v)
MSPR.3.1 = sum((Yhat.3.1-Y.3.1)^2)/m
MSPR.3.1 #0.001368448
## [1] 0.001368448
Yhat.3.2 = predict(Model3.2, newdata=data.v)
Y.3.2 = 1/data.v[,5]
MSPR.3.2 = sum((Yhat.3.2-Y.3.2)^2)/m
MSPR.3.2 #0.001377312
## [1] 0.001377312
Yhat.3.3 = predict(Model3.3, newdata=data.v)
Y.3.3 = 1/data.v[,5]
MSPR.3.3 = sum((Yhat.3.3-Y.3.3)^2)/m
MSPR.3.3 #0.00134099
## [1] 0.00134099
Yhat.4.1 = predict(Model4.1, newdata=data.v)
Y.4.1 = 1/data.v[,5]
MSPR.4.1 = sum((Yhat.4.1-Y.4.1)^2)/m
MSPR.4.1 #0.001159244
## [1] 0.001159244
Yhat.4.2 = predict(Model4.2, newdata=data.v)
Y.4.2 = 1/data.v[,5]
MSPR.4.2 = sum((Yhat.4.2-Y.4.2)^2)/m
MSPR.4.2 #0.001797609
## [1] 0.001797609
m = nrow(data.t)
PRESSModel3.1/m #0.001381295
## [1] 0.001381295
PRESSModel3.2/m #0.001387887
## [1] 0.001387887
PRESSModel3.3/m #0.001380191
## [1] 0.001380191
PRESSModel4.1/m #0.002591321
## [1] 0.002591321
PRESSModel4.2/m #0.001186856
## [1] 0.001186856
#13
#Create qualitative variable for Louisa
is.factor(mydata[,6]) #TRUE
## [1] TRUE
summary(mydata$location)
## Buckingham Louisa
## 175 191
Louisa.index=which(mydata$location=="Louisa")
Louisa.index #observations of frame = Louisa
## [1] 10 11 12 13 14 15 16 17 27 72 73 74 75 76 77 78 79
## [18] 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96
## [35] 97 98 99 100 101 105 106 107 108 111 115 116 117 118 124 125 137
## [52] 142 143 144 145 146 147 154 155 156 157 160 161 162 163 164 165 166
## [69] 167 168 169 170 171 172 173 174 175 176 183 184 185 209 210 211 212
## [86] 213 251 252 253 254 255 257 258 259 260 261 262 263 264 265 266 267
## [103] 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284
## [120] 285 286 287 288 289 290 293 294 295 304 305 306 307 308 309 310 311
## [137] 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328
## [154] 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345
## [171] 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362
## [188] 363 364 365 366
#mydata[1:6]
n=dim(mydata)[1]
X6L=rep(0,n)
X6L[Louisa.index]=1 #Louisa = 1, rest are 0
#Create Model 5
Model5 = lm(1/mydata$glyhb ~ stab.glu + age + ratio + waist + time.ppn + X6L + stab.glu:time.ppn + stab.glu:age + age:ratio, data=mydata)
summary(Model5)
##
## Call:
## lm(formula = 1/mydata$glyhb ~ stab.glu + age + ratio + waist +
## time.ppn + X6L + stab.glu:time.ppn + stab.glu:age + age:ratio,
## data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.153964 -0.021172 -0.001289 0.020548 0.151535
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.355e-01 2.349e-02 14.281 < 2e-16 ***
## stab.glu -7.876e-04 1.630e-04 -4.832 2.01e-06 ***
## age -8.332e-04 4.096e-04 -2.034 0.042680 *
## ratio 2.777e-03 4.237e-03 0.655 0.512645
## waist -1.034e-03 3.450e-04 -2.997 0.002920 **
## time.ppn 3.580e-05 1.572e-05 2.277 0.023349 *
## X6L 6.642e-03 3.772e-03 1.761 0.079123 .
## stab.glu:time.ppn -4.619e-07 1.336e-07 -3.457 0.000612 ***
## stab.glu:age 7.341e-06 2.770e-06 2.650 0.008406 **
## age:ratio -1.209e-04 8.145e-05 -1.484 0.138739
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.03538 on 356 degrees of freedom
## Multiple R-squared: 0.5354, Adjusted R-squared: 0.5236
## F-statistic: 45.58 on 9 and 356 DF, p-value: < 2.2e-16
anova(Model5)