categorical_FOD_FODs (3 levels) -dependent variable Condition_FODs (4 levels) -fixed factor/independent variable Gender_FODs (3 levels) please using RStudio, write a code to analyse the interaction effect between Condition_FODs and Gender_FODs variables on the categorical_FOD_FODs (DV)

data(diamonds)

lm(price ~ carat + clarity + cut, data = diamonds)
# Call:
# lm(formula = price ~ carat + clarity + cut, data = diamonds)
# 
# Coefficients:
# (Intercept)       carat     clarity1     clarity2     clarity3     clarity4     clarity5     clarity6     clarity7          cut1          cut2          cut3          cut4  
#   -8.001e+03    -6.351e+03    -8.578e+03    -9.923e+03    -8.724e+03    -7.864e+03    -7.909e+03    -7.929e+03    -7.925e+03    -7.658e+03    -7.871e+03    -6.890e+03    -8.318e+03  
#          cut5  
#   -7.932e+03