Hi BlueSky Statistics Team!
I find a problem using the linear regression model with factor regressors: as a simple example, if “Diploma” is used as a nominal factor with 4 categories, in the model formula the labels of the 3 categories are correct, but if “Livelli_spesa” is an ordinal factor with 3 categories (“bassa”,”media”,”alta”) the labels are “.L”, “.Q” (note the dot): what this means?
Thanks. M.
Regarding your issue with Linear Regression, R by default sets polynomial contrasts for ordinal factors, see Model Fitting > Contrasts and change to Dummy(Treatment) and you will get what you want