[R] All combinations possible in a mutliple regression
Greg Snow
538280 at gmail.com
Sun Aug 12 04:41:52 CEST 2012
Look at the leaps function in the leaps package. It will compute the
Cp statistic which is a function of AIC.
On Thu, Aug 9, 2012 at 7:28 AM, zel7223 <jmichel.fortin at hotmail.fr> wrote:
> 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
>
>
>
> --
> View this message in context: http://r.789695.n4.nabble.com/All-combinations-possible-in-a-mutliple-regression-tp4639762.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
--
Gregory (Greg) L. Snow Ph.D.
538280 at gmail.com
More information about the R-help
mailing list