> 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 the interaction effect of variables in the analysis. Question 2: edit this code: m1 <- glm(categorical_FOD_FODs ~ Condition_FODs*Language_used_FODs, data = indvar_FODs, family = "multinomial") Error in get(family, mode = "function", envir = parent.frame()) : object 'multinomial' of mode 'function' was not found

require(nnet)

data(iris)
m1 <- multinom(Species ~ Sepal.Length + Sepal.Width, data = iris)

m1
summary(m1)

m2 <- multinom(Species ~ Sepal.Length*Sepal.Width, data = iris)

m2
summary(m2)