Syntax: GLM Procedure

The following statements are available in PROC GLM:

PROC GLM <options> ;

CLASS variables </ option> ;

MODEL dependents=independents </ options> ;

ABSORB variables ;

BY variables ;

FREQ variable ;

ID variables ;

WEIGHT variable ;

CONTRAST ’label’ effect values <...effect values> </ options> ;

ESTIMATE ’label’ effect values <...effect values> </ options> ;

LSMEANS effects </ options> ;

MANOVA <test-options></ detail-options> ;

MEANS effects </ options> ;

OUTPUT <OUT=SAS-data-set> keyword=names <...keyword=names> </ option> ;

RANDOM effects </ options> ;

REPEATED factor-specification </ options> ;

TEST <H=effects> E=effect </ options> ;

Although there are numerous statements and options available in PROC GLM, many applications use only a few of them. Often you can find the features you need by looking at an example or by quickly scanning through this section.

To use PROC GLM, the PROC GLM and MODEL statements are required. You can specify only one MODEL statement (in contrast to the REG procedure, for example, which allows several MODEL statements in the same PROC REG run). If your model contains classification effects, the classification variables must be listed in a CLASS statement, and the CLASS statement must appear before the MODEL statement. In addition, if you use a CONTRAST statement in combination with a MANOVA, RANDOM, REPEATED, or TEST statement, the CONTRAST statement must be entered first in order for the contrast to be included in the MANOVA, RANDOM, REPEATED, or TEST analysis.

Table 39.2 summarizes the positional requirements for the statements in the GLM procedure.

Table 39.3 summarizes the function of each statement (other than the PROC statement) in the GLM procedure.

The rest of this section gives detailed syntax information for each of these statements, beginning with the PROC GLM statement. The remaining statements are covered in alphabetical order.