> 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. how can I apply multinomial logistic regression with interaction effect Treat each level of the Condition_FODs variable (4 levels) and Language_used_FODs variable (5 levels) equally. include the interaction effect of variables in the analysis.

options(warn=-1)
library(car)
library(lme4)
library(lmerTest)
library(lmtest)
library(multcomp)
library(lsmeans)
library(plyr)
library(nlme)
library(afex)
library(emmeans)
library(effsize)
library(compute.es)
library(multcompView)
library(ggplot2)
library(sjPlot)
library(texreg)