Hi everyone, I am using MICE to do the multiple imputation. The independent variables include both numeric (X1) and categorical variables (X2, X3). The dependent variable is a 3 level variable. The code as follow: proc mi data=testa seed=123 nimpute = 5 out=outfcs; class Y X2 X3; fcs nbiter=10 discrim(Y X2 X3 /details classeffects = include) ; var X1 X2 X3 Y; run; It gives warning: An effect for variable X1 is a linear combination of other effects. The coefficient of the effect will be set to zero in the imputation. However, if I remove X1 from the MI process, it gives the error: Each observation has analysis variables either all missing or all observed in the data set. I searched a lot, but I did not see many topics on this warning in the proc mi. Anyone help me find a solution to it? Thanks so much!
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