Hi,

I am quite new to R and would like to do nonlinear regressions with 
Poisson distributed data.
I would like to estimate paramters of an equation of this type:

FR = [c*NO * exp(a+b*NO)] / [(c+NO)*(1+exp(a+b*NO))]

a,b and c are parameters, NO are input values


I found both the gnm and gnlr3 function which should be able to do this 
regression but I can't manage to make it work.
How can I write my equation to fit into these functions? 
If I understand it correct I have to split my equation in a "mu", a 
"shape" and a "family" part for the gnlr function, but don't have a clue 
how to do this.....................

Is there maybe a different function that is better for my purpose? A 
version of nls where I can choose a different distribution?

Kind Regards
Joachim

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______________________________________

Joachim Audenaert
Adviesdienst Gewasbescherming
Proefcentrum voor Sierteelt
Schaessestraat 18
B-9070 Destelbergen
Tel. +32 9 353 94 71
Fax +32 9 353 94 95
E-mail: joachim.audenaert@pcsierteelt.be
www.pcsierteelt.be
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