[Rd] nonlinear least square

[William Dunlap]

Look at the 'self-starting' functions for nls(), such as SSasymp().

Bill Dunlap
TIBCO Software
wdunlap tibco.com

On Wed, Mar 4, 2015 at 5:01 AM, Evans Otieno Ochiaga <
evansochiaga at aims.ac.za> wrote:

> Hi to all,
>
> Is there a way we can fit a non linear model to a data using non linear
> least square method without necessarily initialising the parameters of the
> model. I find it hard to get the initial value of the parameter. Below is a
> sample of the code I have.
>
>
>
>
>
>
> *nachman<-nls(OARmedium$OCCUPANCY~1exp(-alpha*OARmedium$MEAN^beta),start=list(alpha=0.2,beta=0.1),data=OARmedium)summary(nachman)*
> Thanks,
>
>
> *Evans Ochiaga*
>
> *African Institute for Mathematical Sciences*
>
> *6 Melrose Road*
>
> *Muizenberg, South Africa*
>
> *Msc in Mathematical Sciences+27 84 61 69 183 *
>
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> and cruel fate, Still I hear that gentle whisper ever pleading, God is
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>
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