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Separation occurs when some classes of a categorical outcome can be perfectly distinguished by a linear combination of other variables.

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How to deal with clmm warning: "hessian is numerically singular"?

Here is the table of the predictor and response variabes: table(df$z,df$y) A B C D 1 4 0 0 0 2 23 1 1 5 3 0 1 0 0 I am not sure if this is a problem of complete separation
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