Overview for Nonlinear Regression

Use Nonlinear Regression when you cannot adequately model the relationship between a continuous response variable and one or more predictor variables with ordinary least squares regression. Use a nonlinear regression model when you can specify a nonlinear function to describe the relationship.

For example, a scientist wants to understand the relationship between semiconductor electron mobility and the natural log of the density. Because the best linear model provides a biased fit, the scientist use a nonlinear model.

For more information, go to Understanding nonlinear regression.