Non linear modeling
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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