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Nonlinear regression
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{{Short description|Regression analysis}} {{Regression bar}} [[Image:Michaelis-Menten saturation curve of an enzyme reaction.svg|thumb|300 px| See [[Michaelis–Menten kinetics]] for details]] In statistics, '''nonlinear regression''' is a form of [[regression analysis]] in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends on one or more independent variables. The data are fitted by a method of successive approximations (iterations).
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