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Would anybody be able to elaborate on the difference between FindFit and NonlinearModelFit. I couldn't find any documentation stating the differences.

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From the docs : FindFit returns a list of replacements while NonlinearModelFit returns a symbolic FittedModel object to represent the linear model it constructs. but The best-fit function from NonlinearModelFit[data,form,pars,vars] is the same as the result from FindFit[data,form,pars,vars]. – b.gatessucks Nov 2 '12 at 8:54
As noted by b.gatessucks, a closer reading of the docs ought to have given you at least an inkling... – 0x4A4D♦ Nov 2 '12 at 9:25
FindFit may use linear or nonlinear fitting. To check out the differences the ANOVA tables may be a good place to start, i.e. pts = RandomReal[10, {12, 2}]; Print[LinearModelFit[Sort@pts, {1, x, x^2}, x]["ANOVATable"]]; Print[NonlinearModelFit[Sort@pts, a x^2 + b x + c, {a, b, c}, x]["ANOVATable"]]; – Chris Degnen Nov 2 '12 at 9:46

closed as too localized by Ajasja, 0x4A4D♦ Nov 2 '12 at 9:24

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