Nonlinear Regression with Built-In Models
Analyze Models with the Fit Curve Platform
In many situations, especially in the physical and biological sciences, well-known nonlinear equations describe the relationship between variables. For example, bioassay experiments are conducted by pharmacology researchers to understand how the strength of the response to a drug changes as a function of drug concentration. The Logistic family of curves often accurately describes how the response strength is related to drug concentration. Another example is exponential growth curves, which can predict the size of a population over time.
The Nonlinear platform’s Fit Curve personality provides predefined models, such as polynomial, logistic, Gompertz, ...