Nonlinear regression is a form of regression analysis in which observational data is modeled by a function that is a nonlinear combination of the model parameters and depends on one or more independent variables. This method is widely used in catalysis to analyze complex reaction mechanisms and to develop models that accurately represent the kinetics of catalytic processes.
