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I'm currently using the PMM method in my dataset, which is composed of two categorical variables (such as family and genera, these are my explanatory variables) and one continuous variable for species (a trait, response variable). I want to impute the trait values for species with missing data. However, I still don't understand how the regression of the PMM works, when I have a categorical variable. Could somebody help me with this issue?

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