The article discusses different types of regression models for analyzing data with categorical and limited outcomes. It covers various types of outcomes such as continuous, binary, ordinal, nominal, limited, and count outcomes. The researchers explore how to test and fit these models to different types of data. The main goal is to provide a comprehensive overview of regression models for researchers and practitioners working with categorical and limited dependent variables.