Introduction to the Nonlinear Fit Curve Personality
The Nonlinear platform fits models that are nonlinear in the parameters. The Fit Curve personality of the platform has a variety of predefined models, such as polynomial, logistic, Gompertz, exponential, peak, and pharmacokinetic models.
Specifying a grouping variable lets you estimate separate model parameters for each level of the grouping variable. The fitted models and estimated parameters can be compared across the levels of the grouping variable.
The Nonlinear platform is a good choice for models that are nonlinear in the parameters. Some models are linear in the parameters (for example, a quadratic or other polynomial) or can be transformed to be such (for example, when you use a log ...