NonlinearRegress

As of Version 7.0, NonlinearRegress has been superseded by NonlinearModelFit and is part of the built-in Wolfram Language kernel.

NonlinearRegress[data,expr,pars,vars]
finds numerical values of the parameters pars that make the model expr give a best fit to data as a function of vars and provides diagnostics for the fitting.

NonlinearRegress[data,{expr,cons},pars,vars]
finds a best fit and provides diagnostics subject to the constraints cons.

DetailsDetails

ExamplesExamplesopen allclose all

Basic Examples  (1)Basic Examples  (1)

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Nonlinear regression with parameters a and b:

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