Hi everyone, when trying to predict the final ranking of a football competition (dependent variable) based multiple independent variables, I wanted to use an ordered logit/probit model. Therefore I have split my data into training data and test data as I wanted the model to learn from the training data and make predictions about the test data. My code is the following: proc logistic data=trainingdata; model ranking = &inputvariables; score data=testdata out=work.ologitoutput; run; The problem is that the predicted rankings are not unique, not every rank is given exactly one time. For example, the model places 3 teams on the first position in the final ranking, no team second,... I think that the problem is that the model just assigns each team to the ranking with the highest probability when only taking into account this one team, without looking at the other teams' probabilities. Could anyone help me out, I would really appreciate it!! Best regards, Simon
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