> table(indvar_FODs$categorical_FOD_FODs) ascending descending identity 1683 1432 206 > table(indvar_FODs$Condition_FODs) A B C D 880 880 880 880 > table(indvar_FODs$Language_used_FODs) English German Hungarian Italian Turkish 880 160 160 160 2160 categorical_FOD_FODs is the dependent variable. please apply multinomial logistic regression. treat each level of the Condition_FODs variable (4 levels) and Language_used_FODs variable (5 levels) equally. include interaction effect of variables into the analysis

# model fitting
model_FODs <- multinom(categorical_FOD_FODs ~ ., data = indvar_FODs)
summary(model_FODs)

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