If I understand your question, see the 'predict.glm' funtion.
On 17/10/2007, Samuel Okoye <[EMAIL PROTECTED]> 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
>
>
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--
Henrique Dallazuanna
Curitiba-Paraná-Brasil
25° 25' 40" S 49° 16' 22" O
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