[R] Nealder Meade and nlm

[Matthew L. Fidler]

Hello,

I have been using R to fit my data using non-linear least squares.  I
have used the optimize routine to minimize the sum of squared errors
(using Nealder Meade optimization routine), but couldn't get the
non-linear model in R to converge to the estimates acheived in a
convergent Neadler Meade routine.  It tells me about problems with the
gradient.  I was wondering if there is any way to estimate the
covariance matrix for the parameters when using the Nealder Meade
optimization method.  If so is there a book, or article, that I can
refer to about how this is done, it would be greatly appreciated.

Thanks

Matthew L. Fidler

fidler at math.utah.edu
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