These models are of value to those conducting medical tests, epidemiological or social research, pharmaceutical and agricultural experiments, quantitative marketing, as well as in numerous other fields. Logit, Probit and derived models are useful to model binary responses with categorical and numerical explanatory variables. Multinomial logistic regression allows to model polytomous variables (dependant qualitative variables that have more than two categories).