The MODEL statement specifies the regression model and the error structure assumed for the regression residuals. The response
variable on the left side of the equal sign is regressed on the independent variables listed after the equal sign. Any number
of MODEL statements can be used. For each model statement, only one response variable can be specified on the left side of
the equal sign.
The error structure is specified by the FIXONE, FIXTWO, RANONE, RANTWO, FULLER, PARKS, and DASILVA options. More than one
of these options can be used, in which case the analysis is repeated for each error structure model specified.
Models can be given labels up to 32 characters in length. Model labels are used in the printed output to identify the results
for different models. If no label is specified, the response variable name is used as the label for the model. The model label
is specified as follows:
label:
The following options can be specified on the MODEL statement after a slash (/).

CORRB


CORR

prints the matrix of estimated correlations between the parameter estimates.

COVB


VAR

prints the matrix of estimated covariances between the parameter estimates.

FIXONE

specifies that a oneway fixedeffects model be estimated with the oneway model that corresponds to group effects only.

FIXTWO

specifies that a twoway fixedeffects model be estimated.

RANONE

specifies that a oneway randomeffects model be estimated.

RANTWO

specifies that a twoway randomeffects model be estimated.

FULLER

specifies that the model be estimated by using the FullerBattese method, which assumes a variance components model for the
error structure.

PARKS

specifies that the model be estimated by using the Parks method, which assumes a firstorder autoregressive model for the
error structure.

DASILVA

specifies that the model be estimated by using the Da Silva method, which assumes a mixed variancecomponent movingaverage
model for the error structure.

M=number

specifies the order of the movingaverage process in the Da Silva method. The M= value must be less than . The default is M=1.

PHI

prints the matrix of estimated covariances of the observations for the Parks method. The PHI option is relevant only when the PARKS
option is used.

RHO

prints the estimated autocorrelation coefficients for the Parks method.

NOINT


NOMEAN

suppresses the intercept parameter from the model.

NOPRINT

suppresses the normal printed output.

SINGULAR=number

specifies a singularity criterion for the inversion of the matrix. The default depends on the precision of the computer system.