Nonlinear regression (NLR) and constrained nonlinear regression (CNLR) estimate parameters of nonlinear models.Binary logistic regression classifies data into two groups.Multinomial logistic regression (MLR) predict categorical outcomes with more than two categories.Generalized estimating equations (GEE) procedures extend generalized linear models to accommodate correlated longitudinal data and clustered data.GENLIN also offers many useful statistical models through its very general model formulation. It includes generalized linear models (GENLIN), including widely used statistical models such as linear regression for mormally distributed responses, logistic models for binary data, and loglinear models for count data.