Hi community, I have question about solution of fixed effects in proc glimmix. I have data with following class variables: Class Levels Values group 3 1 2 3 method 3 A B C and one binary variable "y". I have following code: PROC glimmix data=tmp1.data1; class group method; model y=method / solution; random int / subject=group; run; As the result of "solution" i have following table(here is part of it): effect group estimate intercept 0.25 method A 0.3333 method B 0.083333 method C 0 My question is: Why the result of effect method: C is equal 0? Why does it estimate the intercept as the Beta_0+Beta_C, method:B as a Beta_B-Beta_C and so on..? regards ... View more