HI,
I forgot about the AIC.
resAIC<-list()
for(i in 1:length(res1)){
resAIC[[i]]<-list()
resAIC[[i]]<-AIC(res1[[i]])
}
unlist(resAIC)
# [1] 71.25981 65.22991 71.32024 71.29489 67.20616 73.15101 73.13823 66.17742
#[9] 66.96219 73.27309 67.78183 68.85621 75.03196 68.00660 69.39852
A.K.
----- Original Message -----
From: zel7223 <jmichel.for...@hotmail.fr>
To: r-help@r-project.org
Cc:
Sent: Thursday, August 9, 2012 9:28 AM
Subject: [R] All combinations possible in a mutliple regression
Hi,
I want to use four independent variables to predict the output of one
dependent variable using a linear model lm. I want to compare all possible
combinations of the 4 independent variables, including singles, pairs and
triples.
I was thinking of using the AIC test to compare all models and pick the best
one.
The model looks like this :
lm(Y ~ X1 + X2 + X3 + X4)
Thanks for your help
Cheers
Jean-Michel Fortin
UOttawa
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