I have data set that all variables are categorical, and the dependent variable is consisting of three categories. I am planning to run MLR, but I noticed that majority of examples of such model has incorporated continuous variable which is not my case.
Moreover, When I used MLR for my data, the issue of unexpected singularities has come up and still there despite compressing of categories or excluding some variables.
Meanwhile, I am just asking if Goodman and Kruskal's λ is a good option to reveal association and decreasing the error of prediction that can substitute MLR in my case?
I would appreciate also if anyone can share practical guide for MLR in which all dependent and independent variables are categorical!
Mohamed, Attached is a book you might find helpful. I recommend the case study of Chapter 12. It is LR not MLR but I think it will still be helpful. Wish you the best, David You might also look at the material on ordinal LR.
Many thanks Prof. David for sharing helpful resources. I will have a look on the recommended case study.
Regards,
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