Am working with repeated measures on body weight at various ages. I want to test for fixed effects and then have their LSMEANS listed by age. I have tried the PROC GLM with "repeated" statement after the model to define animal as being repeated but the model in itself is not significant. So i tried PROC MIXED fitting age as a continous variable, the model is still not significant and all the fixed effects non is significant except age. How do i sort out this problem? Could i be using the wrong model? Below is the model i have used for the GLM and Mixed procedures PROC GLM DATA=TRIAL13; CLASS SEX GENOTYPE CLUSTER HATCH; MODEL RG=SEX GENOTYPE CLUSTER HATCH AGE; REPEATED AGE/ TYPE=CSH SUB=BIRD; RUN; Model significance Pr>F (0.8003)                          R-Square     Coeff Var      Root MSE       RG Mean                          0.001716    5.34157E17      0.385440    7.2159E-17        Source                      DF     Type III SS     Mean Square    F Value    Pr > F         SEX                          1      0.01325207      0.01325207       0.09    0.7652         GENOTYPE              2      0.00011833      0.00005916       0.00    0.9996         CLUSTER                 2      0.01722666      0.00861333       0.06    0.9437         HATCH                    10      0.37976781      0.03797678       0.26    0.9900         AGE                          1      1.64635823      1.64635823      11.08    0.0009 PROC MIXED DATA=TRIAL13; CLASS SEX GENOTYPE CLUSTER HATCH BIRD AGE; MODEL RG=HATCH GENOTYPE SEX CLUSTER AGE/DDFM=KENWARDROGER; RANDOM BIRD; REPEATED AGE/ TYPE=CSH SUB=BIRD; RUN; ERROR: Out of memory. NOTE: The SAS System stopped processing this step because of insufficient memory PROC MIXED DATA=TRIAL13; CLASS SEX GENOTYPE CLUSTER HATCH BIRD AGE; MODEL RG=HATCH GENOTYPE SEX CLUSTER AGE/DDFM=KENWARDROGER; RANDOM BIRD; REPEATED AGE; RUN; WARNING: Stopped because of infinite likelihood ... View more