- MODEL dependent = < effects > < / option > ;
The MODEL statement gives the dependent variables and independent
effects. If you specify more than one dependent variable, a
separate analysis is performed for each one. The independent
effects are limited to main effects, interactions, and
nested effects; no continuous effects are allowed. All
independent effects must be composed of effects that appear
in the CLASS statement. Effects are
specified in the VARCOMP procedure in the same way as
described for the ANOVA procedure. Only one MODEL statement
Only one option is available in the MODEL statement.
tells the VARCOMP procedure that the first n effects in the MODEL statement
are fixed effects. The remaining effects are assumed to be random. By
default, PROC VARCOMP assumes that all effects are random in the
model. Keep in mind that if you use bar notation and, for example,
specify Y=A|B / FIXED=2, then A*B is considered a random effect.
Copyright © 1999 by SAS Institute Inc., Cary, NC, USA. All rights reserved.