Multinomial logistic regression with categorical predictors

Hello,

I have (I hope) a relatively straight-forward question. I would like to use a multinomial logistic regression to predict a categorical outcome. However, I also have categorical predictors. The documentation for mnrfit doesn't seem to address categorical inputs. Is there a way to do this?

Thanks.

[Nirosha Rathnayake]

Hello David, have you figure out this problem. I am also trying to work on this. Multinomial logistic regression with categorical predictors when the predictor has more than 2 categories. might have to use dummy variables (k-1) if a predictor has k categories. Which mean we should have k-1 coefficients (k-1 beta values) in the model, taking one category as a reference category. Please let me know if you have any other comments or ideas on using categorical predictors in multinomial logistic regression. Thanks.