Bootstrapping nls stops

["Ilouga, Pierre" <Pierre.Ilouga@evotec.com>]

Dear all,

I didn’t  find an useful answer neither in the handbooks nor in the archive. The Problem I have is the following: How can I force the function “bootstrap” to calculate the statistic for ALL  B resamples even if a given bootstrap sample doesn’t provide successfully a solution by using nls()?

nLS.Object <- nls(…., data = DATA, start = list( …. ))                          was successfully calculated.

boot.nLS <- bootstrap(DATA,  coef(eval(nLS.Object$call)), B=1000)               stops after a few bootstrap samples.

Is there something like try( …. )       which can be used in this situation?   

Dr. Pierre Ilouga

Screening Operations/Discovery Informatics

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