Actividad Modelos
Camilo Manrique
2026-10-01
library(GLMsData)## Warning: package 'GLMsData' was built under R version 4.5.2data("germBin")#Duminizar variable
germBin$Result <- ifelse(germBin$Result == "Germ", 1, 0)#Realizar modelo
mod=glm(Result ~ ., data = germBin )
summary(mod)##
## Call:
## glm(formula = Result ~ ., data = germBin)
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.33131 0.03471 9.546 < 2e-16 ***
## ExtractCucumber 0.25910 0.03355 7.723 3.28e-14 ***
## SeedsOA75 0.06298 0.03599 1.750 0.0805 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for gaussian family taken to be 0.2332329)
##
## Null deviance: 207.66 on 830 degrees of freedom
## Residual deviance: 193.12 on 828 degrees of freedom
## AIC: 1153.6
##
## Number of Fisher Scoring iterations: 2#MODELOS
mod1 <- glm(Result~., data=germBin, family=binomial) # >- logit por defect
mod2 <- glm(Result~., data=germBin, family=binomial (link="probit"))
mod3 <- glm(Result~., data=germBin, family=binomial (link="cauchit"))
mod4 <- glm(Result~., data=germBin, family=binomial (link="cloglog"))summary(mod1)##
## Call:
## glm(formula = Result ~ ., family = binomial, data = germBin)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -0.7005 0.1507 -4.648 3.36e-06 ***
## ExtractCucumber 1.0647 0.1442 7.383 1.55e-13 ***
## SeedsOA75 0.2705 0.1547 1.748 0.0804 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 1151.7 on 830 degrees of freedom
## Residual deviance: 1092.6 on 828 degrees of freedom
## AIC: 1098.6
##
## Number of Fisher Scoring iterations: 4summary(mod2)##
## Call:
## glm(formula = Result ~ ., family = binomial(link = "probit"),
## data = germBin)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -0.43383 0.09256 -4.687 2.77e-06 ***
## ExtractCucumber 0.66316 0.08894 7.456 8.91e-14 ***
## SeedsOA75 0.16586 0.09541 1.738 0.0821 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 1151.7 on 830 degrees of freedom
## Residual deviance: 1092.6 on 828 degrees of freedom
## AIC: 1098.6
##
## Number of Fisher Scoring iterations: 4summary(mod3)##
## Call:
## glm(formula = Result ~ ., family = binomial(link = "cauchit"),
## data = germBin)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -0.5993 0.1362 -4.402 1.07e-05 ***
## ExtractCucumber 0.8738 0.1268 6.893 5.47e-12 ***
## SeedsOA75 0.2476 0.1358 1.824 0.0681 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 1151.7 on 830 degrees of freedom
## Residual deviance: 1092.5 on 828 degrees of freedom
## AIC: 1098.5
##
## Number of Fisher Scoring iterations: 5summary(mod4)##
## Call:
## glm(formula = Result ~ ., family = binomial(link = "cloglog"),
## data = germBin)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -0.9130 0.1150 -7.936 2.08e-15 ***
## ExtractCucumber 0.7707 0.1042 7.398 1.38e-13 ***
## SeedsOA75 0.2192 0.1100 1.992 0.0464 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 1151.7 on 830 degrees of freedom
## Residual deviance: 1091.6 on 828 degrees of freedom
## AIC: 1097.6
##
## Number of Fisher Scoring iterations: 5par(mfrow=c(2,2))
plot(predict(mod1), main="Enlace logit", col="blue")
plot(predict(mod2), main="Enlace probit", col="red")
plot(predict(mod3), main="Enlace cauchit", col="green")
plot(predict(mod4), main="Enlace cloglog,")
#APLICACION STEP
step(mod1)## Start: AIC=1098.63
## Result ~ Extract + Seeds
##
## Df Deviance AIC
## <none> 1092.6 1098.6
## - Seeds 1 1095.7 1099.7
## - Extract 1 1149.1 1153.1##
## Call: glm(formula = Result ~ Extract + Seeds, family = binomial, data = germBin)
##
## Coefficients:
## (Intercept) ExtractCucumber SeedsOA75
## -0.7005 1.0647 0.2705
##
## Degrees of Freedom: 830 Total (i.e. Null); 828 Residual
## Null Deviance: 1152
## Residual Deviance: 1093 AIC: 1099#MODELO FINAL
modfinal <- glm(formula = Result ~ Extract + Seeds, family = binomial, data = germBin)
summary(modfinal)##
## Call:
## glm(formula = Result ~ Extract + Seeds, family = binomial, data = germBin)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -0.7005 0.1507 -4.648 3.36e-06 ***
## ExtractCucumber 1.0647 0.1442 7.383 1.55e-13 ***
## SeedsOA75 0.2705 0.1547 1.748 0.0804 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 1151.7 on 830 degrees of freedom
## Residual deviance: 1092.6 on 828 degrees of freedom
## AIC: 1098.6
##
## Number of Fisher Scoring iterations: 4round(exp(modfinal$coefficients), 3)## (Intercept) ExtractCucumber SeedsOA75
## 0.496 2.900 1.311Los resultados muestran que el cambio en el tipo de extracto de Bean a Cucumber se relaciona con un aumento de 2.9 unidades en la germinación. Por otra parte, cambiar de la semilla OA73 a OA75 se relaciona con un aumento de 1.3 unidades en la germinación. Por lo tanto, dentro del modelo, el cambio de extracto presenta una relación de mayor magnitud con la germinación que el cambio de tipo de semilla.
Medididas de Bondad de AJuste
1 - pchisq(modfinal$null.deviance - modfinal$deviance, modfinal$df.null - modfinal$df.residual)## [1] 1.517675e-13Se evidencia que el modelo es solido para presentar las variables explicativas de la germinación
#No me permitio correo R2 - por la versdion de R del escritorio
La selección mediante AIC mantuvo ambas variables en el modelo (AIC = 1098.6), siendo Extract la variable con mayor evidencia estadística (β = 1.0647; p < 0.001). En términos de la respuesta, el extracto de pepino se asocia con mayores probabilidades de germinación respecto a la categoría de referencia, con una razón de momios estimada de 2.900, manteniendo constante el tipo de semilla. Seeds presenta un efecto positivo (β = 0.2705), aunque su evidencia estadística es marginal al 5% (p = 0.0804), por lo que no se establece una asociación estadísticamente significativa bajo este nivel.
#Deteccion de datos atipicos
library(car)## Warning: package 'car' was built under R version 4.5.3## Cargando paquete requerido: carData## Warning: package 'carData' was built under R version 4.5.3outlierTest(modfinal)## No Studentized residuals with Bonferroni p < 0.05
## Largest |rstudent|:
## rstudent unadjusted p-value Bonferroni p
## 12 1.489032 0.13648 NASe presenta el dato 12 como un dato atipico
par(mfrow=c(1,1))
n <- nrow(germBin)
k <- 2
plot(hatvalues(modfinal), ylim=c(0,1))
abline(h=2*(k+1)/n, col="red")
# UMBRAL DE CORTE
hat_valores <- hatvalues(modfinal)
umbral <- 2 * (k + 1) / n
hat_mayores <- hat_valores[hat_valores > umbral]
hat_mayores## named numeric(0)#GRÁFICOS DE RESIDUALES Y VALORES AJUSTADOS
par(mfrow=c(2,2))
plot(residuals(modfinal) ~ fitted.values(modfinal))
plot(residuals(modfinal))
plot(fitted.values(modfinal))
plot(rstandard(modfinal), ylim=c(-4,4))
abline(h=-3, col="red")
abline(h=3, col="red")
# DISTANCIA DE COOK
par(mfrow=c(1,1))
plot(cooks.distance(modfinal), ylim=c(0,3))
abline(h=1, col="red")
# COVRATIO
k <- 2
n <- nrow(germBin)
plot(abs(covratio(modfinal)-1), ylim=c(0,2))
abline(h=3*k/sqrt(n), col="red")
# DFFITS
k <- 2
n <- nrow(germBin)
2*sqrt((k+1)/n)## [1] 0.1201684plot(abs(dffits(modfinal)))
abline(h=2*sqrt((k+1)/n), col="red")
abs(dffits(modfinal)) > 2*sqrt((k+1)/n)## 1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 2.10 2.11
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 2.12 2.13 2.14 2.15 2.16 2.17 2.18 2.19 2.20 2.21 2.22
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 3 3.1 3.2 3.3 3.4 3.5 3.6 3.7 3.8 3.9 3.10
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 3.11 3.12 3.13 3.14 3.15 3.16 3.17 3.18 3.19 3.20 3.21
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 3.22 4 4.1 4.2 4.3 4.4 4.5 4.6 4.7 4.8 4.9
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 4.10 4.11 4.12 4.13 4.14 4.15 4.16 4.17 4.18 4.19 4.20
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 4.21 4.22 4.23 4.24 4.25 5 5.1 5.2 5.3 5.4 5.5
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 5.6 5.7 5.8 5.9 5.10 5.11 5.12 5.13 5.14 5.15 5.16
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 6 6.1 6.2 6.3 6.4 7 7.1 7.2 7.3 7.4 7.5
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 7.6 7.7 7.8 7.9 7.10 7.11 7.12 7.13 7.14 7.15 7.16
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 7.17 7.18 7.19 7.20 7.21 7.22 7.23 7.24 7.25 7.26 7.27
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 7.28 7.29 7.30 7.31 7.32 7.33 7.34 7.35 7.36 7.37 7.38
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 7.39 7.40 7.41 7.42 7.43 7.44 7.45 7.46 7.47 7.48 7.49
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 7.50 7.51 7.52 8 8.1 8.2 8.3 8.4 8.5 8.6 8.7
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 8.8 8.9 8.10 8.11 8.12 8.13 8.14 8.15 8.16 8.17 8.18
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 8.19 8.20 8.21 8.22 8.23 8.24 8.25 8.26 8.27 8.28 8.29
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 8.30 8.31 8.32 8.33 8.34 8.35 8.36 8.37 8.38 8.39 8.40
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 8.41 8.42 8.43 8.44 8.45 8.46 8.47 8.48 8.49 8.50 8.51
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 8.52 8.53 8.54 9 9.1 9.2 9.3 9.4 9.5 9.6 9.7
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 9.8 9.9 9.10 9.11 9.12 9.13 9.14 9.15 9.16 9.17 9.18
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 9.19 9.20 9.21 9.22 9.23 9.24 9.25 9.26 9.27 9.28 9.29
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 9.30 9.31 10 10.1 10.2 10.3 10.4 10.5 10.6 10.7 10.8
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 10.9 10.10 10.11 10.12 10.13 10.14 10.15 10.16 10.17 10.18 10.19
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 10.20 10.21 10.22 10.23 10.24 10.25 10.26 10.27 10.28 10.29 10.30
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 10.31 10.32 10.33 10.34 10.35 10.36 10.37 10.38 10.39 10.40 10.41
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 10.42 10.43 10.44 10.45 11 11.1 11.2 11.3 11.4 11.5 11.6
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 11.7 11.8 11.9 12 12.1 12.2 12.3 12.4 12.5 12.6 12.7
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 13 13.1 13.2 13.3 13.4 13.5 13.6 13.7 13.8 13.9 14
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 14.1 14.2 14.3 14.4 14.5 14.6 14.7 15 15.1 15.2 15.3
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 15.4 15.5 15.6 15.7 15.8 15.9 15.10 15.11 15.12 15.13 15.14
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 15.15 15.16 15.17 15.18 15.19 15.20 15.21 15.22 17 17.1 17.2
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 18 18.1 18.2 18.3 18.4 18.5 18.6 18.7 18.8 18.9 18.10
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 18.11 18.12 18.13 18.14 18.15 18.16 18.17 18.18 18.19 18.20 18.21
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 19 19.1 19.2 19.3 19.4 19.5 19.6 19.7 19.8 19.9 19.10
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 19.11 19.12 19.13 19.14 20 20.1 20.2 20.3 20.4 20.5 20.6
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 20.7 20.8 20.9 20.10 20.11 20.12 20.13 20.14 20.15 20.16 20.17
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 20.18 20.19 20.20 20.21 20.22 20.23 20.24 20.25 20.26 20.27 20.28
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 20.29 20.30 20.31 21 21.1 21.2 110 1.110 1.29 1.31 1.41
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 1.51 1.61 1.71 1.81 1.91 1.10 1.11 1.12 1.13 1.14 1.15
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 1.16 1.17 1.18 1.19 1.20 1.21 1.22 1.23 1.24 1.25 1.26
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 1.27 1.28 22 2.110 2.210 2.39 2.41 2.51 2.61 2.71 2.81
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 2.91 2.101 2.111 2.121 2.131 2.141 2.151 2.161 2.171 2.181 2.191
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 2.201 2.211 2.221 2.23 2.24 2.25 2.26 2.27 2.28 2.29 2.30
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 2.31 2.32 2.33 2.34 2.35 2.36 2.37 2.38 31 3.110 3.210
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 3.310 3.410 3.58 3.61 3.71 3.81 3.91 3.101 3.111 3.121 3.131
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 3.141 3.151 3.161 3.171 3.181 3.191 3.201 3.211 3.221 3.23 3.24
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 3.25 3.26 3.27 3.28 3.29 3.30 3.31 3.32 3.33 3.34 3.35
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 3.36 3.37 3.38 3.39 3.40 3.41 3.42 3.43 3.44 3.45 3.46
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 3.47 3.48 3.49 3.50 3.51 3.52 3.53 3.54 3.55 3.56 3.57
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 41 4.110 4.26 4.31 4.41 4.51 4.61 4.71 4.81 4.91 4.101
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 4.111 4.121 4.131 4.141 4.151 4.161 4.171 4.181 4.191 4.201 4.211
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 4.221 4.231 4.241 51 5.110 5.22 5.31 5.41 5.51 5.61 5.71
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 5.81 5.91 5.101 5.111 5.121 5.131 5.141 5.151 5.161 5.17 5.18
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 5.19 5.20 5.21 61 71 7.110 7.210 7.310 7.410 7.53 7.61
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 7.71 7.81 7.91 7.101 7.111 7.121 7.131 7.141 7.151 7.161 7.171
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 7.181 7.191 7.201 81 8.110 8.210 8.310 8.410 8.55 8.61 8.71
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 8.81 8.91 8.101 8.111 8.121 8.131 8.141 8.151 8.161 91 9.110
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 9.210 9.32 9.41 9.51 9.61 9.71 9.81 9.91 9.101 9.111 9.121
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 9.131 9.141 9.151 9.161 9.171 9.181 101 10.110 10.210 10.310 10.46
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 10.51 10.61 10.71 10.81 10.91 10.101 10.111 10.121 10.131 10.141 10.151
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 10.161 10.171 10.181 10.191 10.201 10.211 10.221 10.231 10.241 10.251 10.261
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 10.271 10.281 10.291 10.301 10.311 10.321 111 11.11 11.21 121 12.11
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 12.21 12.31 12.41 12.51 12.61 12.71 131 13.110 13.21 13.31 13.41
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 13.51 13.61 13.71 13.81 13.91 13.10 13.11 13.12 13.13 13.14 13.15
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 13.16 13.17 13.18 13.19 141 14.110 14.21 14.31 14.41 14.51 14.61
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 14.71 14.8 14.9 14.10 14.11 14.12 14.13 14.14 14.15 14.16 14.17
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 14.18 14.19 151 15.110 15.23 15.31 15.41 15.51 15.61 15.71 15.81
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 15.91 15.101 15.111 15.121 15.131 15.141 15.151 15.161 15.171 15.181 15.191
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 15.201 15.211 16 16.1 16.2 16.3 171 17.11 17.21 17.3 17.4
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 17.5 17.6 17.7 17.8 181 18.110 18.22 18.31 18.41 18.51 18.61
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 18.71 18.81 18.91 18.101 18.111 18.121 18.131 18.141 18.151 18.161 18.171
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 18.181 191 19.15 19.21 19.31 19.41 19.51 19.61 19.71 19.81 19.91
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 19.101 19.111 19.121 19.131 19.141 201 20.110 20.210 20.32 20.41 20.51
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 20.61 20.71 20.81 20.91 20.101 20.111 20.121 20.131 20.141 20.151 20.161
## FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 20.171 20.181 211 21.11 21.21 21.3
## FALSE FALSE FALSE FALSE FALSE FALSEumbral <- 2*sqrt((k+1)/n)
dfits_valores <- abs(dffits(modfinal))
dffits_mayores <- dfits_valores[dfits_valores > umbral]
dffits_mayores## named numeric(0)#MEDIDAS DE INFLUENCIA
library(car)
influence.measures(modfinal)## Influence measures of
## glm(formula = Result ~ Extract + Seeds, family = binomial, data = germBin) :
##
## dfb.1_ dfb.ExtC dfb.SOA7 dffit cov.r cook.d hat inf
## 1 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 1.1 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 1.2 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 1.3 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 1.4 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 1.5 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 1.6 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 1.7 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 1.8 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 1.9 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 2 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 2.1 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 2.2 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 2.3 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 2.4 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 2.5 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 2.6 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 2.7 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 2.8 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 2.9 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 2.10 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 2.11 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 2.12 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 2.13 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 2.14 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 2.15 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 2.16 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 2.17 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 2.18 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 2.19 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 2.20 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 2.21 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 2.22 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 3 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 3.1 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 3.2 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 3.3 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 3.4 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 3.5 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 3.6 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 3.7 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 3.8 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 3.9 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 3.10 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 3.11 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 3.12 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 3.13 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 3.14 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 3.15 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 3.16 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 3.17 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 3.18 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 3.19 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 3.20 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 3.21 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 3.22 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 4 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 4.1 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 4.2 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 4.3 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 4.4 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 4.5 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 4.6 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 4.7 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 4.8 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 4.9 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 4.10 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 4.11 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 4.12 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 4.13 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 4.14 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 4.15 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 4.16 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 4.17 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 4.18 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 4.19 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 4.20 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 4.21 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 4.22 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 4.23 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 4.24 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 4.25 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 5 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 5.1 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 5.2 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 5.3 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 5.4 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 5.5 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 5.6 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 5.7 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 5.8 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 5.9 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 5.10 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 5.11 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 5.12 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 5.13 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 5.14 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 5.15 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 5.16 0.0226 -0.0426 0.0266 0.0662 1.00 0.001593 0.00309
## 6 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 6.1 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 6.2 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 6.3 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 6.4 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.1 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.2 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.3 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.4 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.5 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.6 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.7 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.8 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.9 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.10 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.11 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.12 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.13 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.14 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.15 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.16 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.17 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.18 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.19 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.20 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.21 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.22 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.23 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.24 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.25 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.26 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.27 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.28 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.29 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.30 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.31 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.32 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.33 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.34 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.35 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.36 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.37 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.38 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.39 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.40 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.41 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.42 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.43 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.44 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.45 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.46 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.47 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.48 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.49 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.50 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.51 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 7.52 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.1 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.2 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.3 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.4 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.5 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.6 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.7 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.8 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.9 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.10 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.11 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.12 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.13 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.14 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.15 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.16 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.17 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.18 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.19 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.20 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.21 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.22 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.23 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.24 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.25 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.26 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.27 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.28 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.29 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.30 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.31 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.32 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.33 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.34 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.35 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.36 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.37 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.38 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.39 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.40 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.41 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.42 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.43 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.44 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.45 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.46 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.47 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.48 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.49 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.50 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.51 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.52 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.53 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 8.54 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.1 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.2 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.3 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.4 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.5 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.6 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.7 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.8 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.9 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.10 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.11 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.12 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.13 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.14 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.15 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.16 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.17 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.18 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.19 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.20 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.21 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.22 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.23 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.24 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.25 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.26 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.27 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.28 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.29 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.30 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 9.31 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.1 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.2 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.3 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.4 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.5 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.6 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.7 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.8 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.9 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.10 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.11 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.12 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.13 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.14 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.15 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.16 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.17 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.18 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.19 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.20 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.21 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.22 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.23 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.24 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.25 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.26 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.27 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.28 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.29 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.30 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.31 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.32 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.33 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.34 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.35 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.36 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.37 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.38 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.39 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.40 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.41 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.42 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.43 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.44 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 10.45 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 11 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 11.1 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 11.2 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 11.3 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 11.4 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 11.5 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 11.6 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 11.7 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 11.8 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 11.9 -0.0145 0.0272 0.0200 0.0431 1.00 0.000509 0.00286
## 12 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 12.1 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 12.2 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 12.3 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 12.4 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 12.5 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 12.6 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 12.7 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 13 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 13.1 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 13.2 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 13.3 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 13.4 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 13.5 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 13.6 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 13.7 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 13.8 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 13.9 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 14 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 14.1 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 14.2 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 14.3 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 14.4 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 14.5 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 14.6 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 14.7 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 15 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 15.1 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 15.2 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 15.3 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 15.4 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 15.5 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 15.6 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 15.7 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 15.8 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 15.9 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 15.10 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 15.11 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 15.12 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 15.13 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 15.14 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 15.15 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 15.16 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 15.17 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 15.18 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 15.19 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 15.20 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 15.21 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 15.22 0.0923 -0.0491 -0.0667 0.0923 1.00 0.003416 0.00504
## 17 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 17.1 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 17.2 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 18 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 18.1 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 18.2 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 18.3 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 18.4 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 18.5 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 18.6 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 18.7 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 18.8 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 18.9 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 18.10 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 18.11 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 18.12 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 18.13 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 18.14 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 18.15 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 18.16 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 18.17 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 18.18 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 18.19 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 18.20 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 18.21 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 19 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 19.1 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 19.2 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 19.3 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 19.4 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 19.5 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 19.6 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 19.7 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 19.8 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 19.9 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 19.10 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 19.11 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 19.12 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 19.13 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 19.14 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.1 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.2 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.3 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.4 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.5 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.6 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.7 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.8 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.9 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.10 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.11 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.12 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.13 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.14 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.15 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.16 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.17 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.18 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.19 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.20 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.21 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.22 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.23 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.24 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.25 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.26 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.27 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.28 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.29 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.30 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 20.31 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 21 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 21.1 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 21.2 0.0327 0.0283 -0.0453 0.0631 1.01 0.001154 0.00493
## 110 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.110 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.29 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.31 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.41 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.51 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.61 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.71 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.81 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.91 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.10 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.11 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.12 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.13 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.14 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.15 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.16 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.17 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.18 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.19 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.20 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.21 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.22 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.23 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.24 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.25 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.26 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.27 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 1.28 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 22 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.110 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.210 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.39 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.41 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.51 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.61 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.71 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.81 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.91 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.101 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.111 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.121 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.131 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.141 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.151 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.161 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.171 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.181 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.191 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.201 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.211 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.221 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.23 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.24 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.25 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.26 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.27 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.28 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.29 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.30 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.31 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.32 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.33 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.34 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.35 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.36 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.37 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 2.38 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 31 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.110 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.210 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.310 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.410 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.58 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.61 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.71 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.81 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.91 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.101 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.111 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.121 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.131 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.141 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.151 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.161 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.171 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.181 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.191 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.201 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.211 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.221 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.23 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.24 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.25 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.26 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.27 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.28 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.29 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.30 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.31 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.32 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.33 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.34 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.35 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.36 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.37 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.38 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.39 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.40 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.41 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.42 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.43 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.44 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.45 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.46 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.47 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.48 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.49 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.50 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.51 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.52 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.53 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.54 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.55 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.56 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 3.57 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 41 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 4.110 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 4.26 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 4.31 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 4.41 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 4.51 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 4.61 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 4.71 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 4.81 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 4.91 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 4.101 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 4.111 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 4.121 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 4.131 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 4.141 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 4.151 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 4.161 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 4.171 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 4.181 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 4.191 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 4.201 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 4.211 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 4.221 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 4.231 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 4.241 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 51 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 5.110 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 5.22 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 5.31 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 5.41 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 5.51 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 5.61 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 5.71 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 5.81 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 5.91 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 5.101 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 5.111 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 5.121 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 5.131 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 5.141 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 5.151 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 5.161 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 5.17 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 5.18 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 5.19 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 5.20 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 5.21 -0.0166 0.0312 -0.0195 -0.0486 1.00 0.000674 0.00309
## 61 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 71 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 7.110 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 7.210 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 7.310 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 7.410 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 7.53 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 7.61 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 7.71 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 7.81 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 7.91 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 7.101 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 7.111 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 7.121 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 7.131 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 7.141 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 7.151 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 7.161 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 7.171 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 7.181 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 7.191 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 7.201 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 81 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 8.110 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 8.210 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 8.310 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 8.410 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 8.55 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 8.61 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 8.71 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 8.81 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 8.91 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 8.101 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 8.111 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 8.121 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 8.131 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 8.141 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 8.151 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 8.161 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 91 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 9.110 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 9.210 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 9.32 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 9.41 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 9.51 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 9.61 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 9.71 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 9.81 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 9.91 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 9.101 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 9.111 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 9.121 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 9.131 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 9.141 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 9.151 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 9.161 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 9.171 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 9.181 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 101 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.110 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.210 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.310 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.46 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.51 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.61 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.71 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.81 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.91 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.101 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.111 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.121 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.131 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.141 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.151 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.161 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.171 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.181 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.191 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.201 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.211 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.221 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.231 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.241 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.251 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.261 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.271 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.281 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.291 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.301 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.311 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 10.321 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 111 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 11.11 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 11.21 0.0229 -0.0430 -0.0316 -0.0680 1.00 0.001811 0.00286
## 121 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 12.11 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 12.21 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 12.31 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 12.41 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 12.51 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 12.61 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 12.71 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 131 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 13.110 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 13.21 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 13.31 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 13.41 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 13.51 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 13.61 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 13.71 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 13.81 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 13.91 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 13.10 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 13.11 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 13.12 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 13.13 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 13.14 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 13.15 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 13.16 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 13.17 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 13.18 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 13.19 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 141 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 14.110 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 14.21 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 14.31 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 14.41 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 14.51 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 14.61 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 14.71 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 14.8 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 14.9 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 14.10 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 14.11 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 14.12 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 14.13 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 14.14 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 14.15 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 14.16 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 14.17 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 14.18 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 14.19 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 151 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 15.110 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 15.23 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 15.31 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 15.41 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 15.51 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 15.61 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 15.71 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 15.81 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 15.91 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 15.101 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 15.111 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 15.121 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 15.131 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 15.141 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 15.151 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 15.161 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 15.171 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 15.181 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 15.191 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 15.201 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 15.211 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 16 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 16.1 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 16.2 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 16.3 -0.0557 0.0296 0.0403 -0.0557 1.01 0.000842 0.00504
## 171 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 17.11 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 17.21 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 17.3 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 17.4 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 17.5 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 17.6 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 17.7 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 17.8 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 181 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 18.110 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 18.22 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 18.31 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 18.41 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 18.51 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 18.61 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 18.71 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 18.81 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 18.91 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 18.101 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 18.111 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 18.121 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 18.131 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 18.141 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 18.151 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 18.161 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 18.171 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 18.181 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 191 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 19.15 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 19.21 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 19.31 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 19.41 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 19.51 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 19.61 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 19.71 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 19.81 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 19.91 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 19.101 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 19.111 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 19.121 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 19.131 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 19.141 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 201 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 20.110 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 20.210 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 20.32 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 20.41 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 20.51 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 20.61 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 20.71 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 20.81 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 20.91 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 20.101 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 20.111 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 20.121 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 20.131 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 20.141 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 20.151 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 20.161 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 20.171 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 20.181 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 211 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 21.11 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 21.21 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493
## 21.3 -0.0426 -0.0368 0.0589 -0.0821 1.00 0.002391 0.00493influencePlot(modfinal)
## StudRes Hat CookD
## 12 1.489032 0.005035819 0.003416252
## 12.1 1.489032 0.005035819 0.003416252La prueba global del desvío presenta p = 1.52 × 10⁻¹³, indicando que el modelo con las variables consideradas proporciona una explicación estadísticamente superior a la del modelo nulo. En el diagnóstico de observaciones, la prueba de residuos studentizados no identifica datos atípicos significativos y no se encontraron observaciones con leverage o DFFITS superiores a los umbrales establecidos. Por tanto, con los criterios calculados, no se evidencia una influencia individual que justifique eliminar observaciones del análisis.
#Deteccion de multicoliealidad
vif(modfinal)## Extract Seeds
## 1.002068 1.002068predictores1 <- data.frame(germBin$Extract, germBin $Seeds)En conjunto, los resultados indican que el tipo de extracto constituye el principal factor asociado con la germinación observada, mientras que el efecto del tipo de semilla presenta evidencia más limitada. El modelo resulta estadísticamente significativo en términos globales y sus diagnósticos no muestran problemas relevantes de observaciones atípicas, influencia o colinealidad, por lo que los resultados pueden interpretarse sin necesidad de excluir observaciones con base en los criterios evaluados.