[R] Non linear modeling

[Liaw, Andy]

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 at 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 at 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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