RE: [R] Non linear modeling

From: Liaw, Andy <andy_liaw_at_merck.com>
Date: Sat 19 Mar 2005 - 03:21:12 EST


That's treating eps as a parameter in the model. If I read your question right, that's not what you want.

Andy

> From: ronggui [mailto:0034058@fudan.edu.cn]
>
> 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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>



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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 03:25:51 2005

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