ONKELINX, Thierry inbo.be> writes:
> This solutions works with R 2.7.0 under windows
>
> library(MASS)
> library(nlme)
> PredRes <- function(cal, val){
> cal <<- cal
> lmemod <- lme(distance ~ age * Sex, random = ~1|Subject, data = cal,
> method="ML")
> themod <- stepAIC(lmemod, dir=
Jorunn,
This solutions works with R 2.7.0 under windows
library(MASS)
library(nlme)
PredRes <- function(cal, val){
cal <<- cal
lmemod <- lme(distance ~ age * Sex, random = ~1|Subject, data = cal,
method="ML")
themod <- stepAIC(lmemod, dir="both", trace = FALSE)
prs <- predict(them
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