If I understand your question, see the 'predict.glm' funtion.

On 17/10/2007, Samuel Okoye <samuoko@yahoo.com> wrote:
>
> Hello,
> suppose one has the following values
> x1 <- rnorm(10,5,1)
> x2 <- rgamma(10,5,1)
> y <- rnorm(10,4,1)
> mydat <- data.frame(y,x1,x2)
> then one can use glm like
> mod <- glm(y~x1+x2, data=mydat, family=gaussian)
> But how could I estimate y_hat?
> Thanks alot!
> Sam
>
>
> ---------------------------------
>
>        [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help@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.
>



-- 
Henrique Dallazuanna
Curitiba-Paraná-Brasil
25° 25' 40" S 49° 16' 22" O

	[[alternative HTML version deleted]]

