The following statements are available in PROC HPLMIXED.
PROC HPLMIXED <options>;
CLASS variables;
ID variables;
MODEL dependent = <fixedeffects> </ options>;
OUTPUT <OUT=SASdataset> <keyword <=name>>…<keyword <=name>> </ options>;
RANDOM randomeffects </ options>;
REPEATED repeatedeffect </ options>;
PARMS <(valuelist) …> </ options>;
PERFORMANCE <options>;
Items within angle brackets ( < > ) are optional. The RANDOM statement can appear multiple times. Other statements can appear only once.
The PROC HPLMIXED and MODEL statements are required, and the MODEL statement must appear after the CLASS statement if a CLASS statement is included. The RANDOM statement must follow the MODEL statement.
Table 8.1 summarizes the basic functions and important options of the PROC HPLMIXED statements. The syntax of each statement in Table 8.1 is described in the following sections in alphabetical order after the description of the PROC HPLMIXED statement.
Table 8.1: Summary of PROC HPLMIXED Statements
Statement 
Description 
Important Options 

Invokes the procedure 
DATA= specifies the input data set; METHOD= specifies the estimation method. 

Declares qualitative variables that create indicator variables in and matrices. 
None 

Lists additional variables to be included in predicted values tables 
None 

Specifies dependent variable and fixed effects, setting up 
S requests a solution for fixedeffects parameters. 

Specifies random effects, setting up and 
SUBJECT= creates blockdiagonality; TYPE= specifies the covariance structure; S requests a solution for the random effects. 

Sets up 
SUBJECT= creates blockdiagonality; TYPE= specifies the covariance structure. 

Creates a data set that contains observationwise statistics 
ALLSTATS requests that all statistics be computed. 

Specifies a grid of initial values for the covariance parameters 
HOLD= and NOITER hold the covariance parameters or their ratios constant; PARMSDATA= reads the initial values from a SAS data set. 

Invokes the distributed computing connection 
NODES= specifies the number of nodes to use. 