Hello,   GLOGIT link means response functions called generalized logits. This is meant for a nominal response (>2 categories).   When your response variable y is ordinally scaled, you need a cumulative logit model.   You can take the detour via multiple binary models, One-vs-All or One-vs-One, and then voting, but I wouldn't do that. The multiple binary models are also better to replace a multi-class Classification with a multinomial response (not so much an ordinal response).   Good luck, Koen ... View more