  Robust estimators and Wald-type tests are developed for the multinomial
logistic regression based on $\phi$-divergence measures. The robustness of the
proposed estimators and tests is proved through the study of their influence
functions and it is also illustrated with two numerical examples and an
extensive simulation study.
