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When using NonlinearModelFit with Method->NMinimize I have received the warning message NonlinearModelFit::lmnl, which includes the text ""The model -cVar+Log[1+0.00821596 t] is linear in the parameters {cVar}, but a nonlinear method or non-Euclidean norm was specified, so nonlinear methods will be used."

The warning is not a problem; the model fit is good. Also, I understand that I could use LinearModelFit for this, but am not for unimportant reasons.

This implies that I could specify a non-Euclidean norm, presumably for use in summing the residuals when determining the objective function. I would love to be able to do this, but can not find any mention of this in the documentation.

My question is: Is it possible to specify a non-Euclidean norm for NonlinearModelFit? How?

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