Re: [R] nls question

[Spencer Graves]

	  An article in the American Statistician perhaps 5 years ago on the 
accuracy of statistical software recommended using nlminb first to find 
the least squares solution and then pass those numbers to nls to get 
confidence intervals.  More recently, optim has replaced nlminb for such 
purposes, as far as I know.  In addition, optim will optionally output 
the Hessian from which approximate confidence intervals can be obtained. 
 I have not used this recently, but I would expect that "profile" on 
the nls fit would give better confidence intervals.

hth.  spencer graves

Suchandra Thapa wrote:
I'm running into problems trying to use the nls function to fit the some
data.  I'm invoking nls using 

nls(s~k/(a+r)^b, start=list(k=1, a=13, b=0.59))

but I get errors indicating that the step has been reduced below the
minimum step size or an inifinity is generated in numericDeriv. I've
tried to use a variety of starting values for a, b, k but get similar
errors.  

Is there anything I can do to get the a fit or is there an alternative
to the nls function?
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