Re: [R] Non linear modeling

From: ronggui <0034058_at_fudan.edu.cn>
Date: Sat 19 Mar 2005 - 02:44:44 EST

then is the nls function can deal the problem as Guillaume STORCHI mentioned in the last post? [X<-nls(y~x+exp(a*x)*eps, data=,start=list(a=,eps=))] or just can solve the problem as:log(y-x) = a*x + e?

On Fri, 18 Mar 2005 08:56:38 -0500
"Liaw, Andy" <andy_liaw@merck.com> wrote:

> AFAIK most model fitting techniques will only deal with additive errors, not
> multiplicative ones. You might want to try fitting:
>
> log(y-x) = a*x + e
>
> which is linear.
>
> Andy
>
> > From: Angelo Secchi
> >
> > Hi,
> > is there a way in R to fit a non linear model like
> >
> > y=x+exp(a*x)*eps
> >
> > where a is the parameter and eps is the error term?
> > Thanks
> > Angelo
> >
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https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Sat Mar 19 03:19:33 2005

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