

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) bestfit value that applies to all the data sets. For each nonshared parameter, Prism fits a separate (local) bestfit 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