[R] Non linear modeling

[ronggui]

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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