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.

Read more about Nonlinear Regression: General, Regression Statistics, Ordinary and Weighted Least Squares, Nonlinear Regression Algorithms

### Other articles related to "nonlinear regression":

Michaelis–Menten Kinetics - Determination of Constants

... rate against concentration, and using

... rate against concentration, and using

**nonlinear regression**of the Michaelis–Menten equation, the parameters may be obtained ... Before computing facilities to perform**nonlinear regression**became available, graphical methods involving linearisation of the equation were used ... distort the error structure of the data and are inferior to**nonlinear regression**...