Hi Lisa,

See examples in ?predict.lm

HTH,

Jorge


On Fri, Apr 25, 2008 at 7:47 PM, Lisa <sangwl@gmail.com> wrote:

> Hi, I have a question about predicting new values from a fitted model in R.
>
>  For example, if i fit a linear model
>
> fit<-lm(y~x)
>
> predict(fit) will give the fitted values for each x.
>
> I am wondering if there is a way to do some prediction of the fitted for
> some new values of x that are not in the data points?
>
> for example, x=0.5 is not in the original data (not a datapoint), is there
> a
> way to predict the fitted value corresponding to x=0.5 easily?
>
> Thank you!
>
>        [[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.
>

	[[alternative HTML version deleted]]

