Multinomial logistic regression ($\log (p_j/p_0)=x^T{\beta }_j$)

A regression for a categorical response with more than two possible outcomes, parametrizing log probability ratios relative to a baseline category by linear predictors. It preserves categories that a binary logistic regression would merge.