When you want to get the individual impact of each level of a single categorical explanatory variable on a variable continuous quantitative response, simply add the value of the estimated coefficient to the intercept or, more directly, just consider all levels of the categorical variable in the regression and omit the intercept, thereby obtaining in each coefficient estimated the individual effect of that particular category. But with 2 or more categorical variables, the intercept becomes the value of a reference group, jointly considering several categories, one for each qualitative variable. The coefficients in turn will be the difference between a specific group and the reference group. But I like to get the individual effects of each category and no effect of group categories. My question is: is there any way to get the individual effects in this case, where there are two or more categorical explanatory variables (these may be ordered, unordered, or both types)? If so, how to proceed in R? I have been looked, but I found nothing about it. Any help will be appreciated. Thanks for listening. Yours sincerely, Rafael Costa [[alternative HTML version deleted]]