Hello to everybody,   I´ve recently started working with SAS and PROC MIXED and there are some things I don´t have clear.   I have collected information from some shops for three years; there are shops with 3 observations, others one with 2 and others one with only 1. The variable response (Y) is if the shop has internet conession or not (YES=1, NO=0). I have also complementary information for each shop: the shop´s size (small,medium,big), the distrit to which the shop belongs (classified as 1,2,...,7) and the shop´s activity (classified as 1,2,...27).   I have created a model with shop´s size (SIZE) as fixed effect and with 2 random effects: the distrit (distr) and te activity (ACT). AS I have repeated measures, I introuce the time variable (YEAR) for each shop (ID) as random also.   So, this is the model I´m running:   proc glimmix data=datos method=laplace; class SIZE DIST ACT ID  YEAR; model Y(event="1")= SIZE / cl dist=binary link=logit solution; random intercept / subject=DISTR solution cl; random intercept / subject=ACT solution cl; random YEAR / subject=ID type=ar(1); covtest / wald; run;   It needs too much time and finally it doesn´t work.   Could you hel pe?   I apologize for my English.   Thanks,   Nerea   ... View more