i could remember exactly but it is like something: components <-
predict(gam.object, type = "terms")
On Mon, Mar 10, 2008 at 1:36 PM, Michael A. Milligan <pakdke at yahoo.com>
wrote:> Hello,
>
> I am estimating a semiparametric partial linear model
> using gam of the form
>
> y=f1(x1)+f2(x2)+beta*X
>
> where y is the dependent variable, f1(x1) and f2(x2)
> are nonparametric functions of the independent
> variables x1 and x2, respectively, and beta and X are
> vectors of coefficients and independent variables.
> The R code is
>
> EqGamAS <- gam(y ~ X+s(x1)+s(x2))
>
> My question is, how can I extract the fitted values
> of, say, f1(x1)? Of course fitted(EqGamAS) returns
> the fitted values of the entire regression function,
> but is there a way to view only one component of the
> nonparametric part of the estimation? I have looked
> through documentation and help archives and have not
> found the answer. I appreciate very much any help
> anyone can give me.
>
> Michael Milligan
> Doctoral Candidate
> University of New Mexico
>
>
>
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