A global model defines a family of curves, rather than just a single curve, with some parameters shared between data sets. For each shared parameter, Prism fits one (global) best-fit value that applies to all the data sets. For each non-shared parameter, Prism fits a separate (local) best-fit value for each data set.

•What is global nonlinear regression?

•Using global regression to fit incomplete datasets

•Fitting models where the parameters are defined by multiple data sets

•Advice: Don't use global regression if datasets use different units