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DATA=SAS-data-set
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specifies the input data set. Values for the variables in the model are read from this data set.
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PDATA=SAS-data-set
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names the SAS data set that contains the data about priors and supports.
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OUT=SAS-data-set
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names the SAS data set to contain the residuals from each estimation.
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OUTCOV
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COVOUT
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writes the covariance matrix of the estimates
to the OUTEST= data set in addition to the parameter estimates. The OUTCOV option is applicable only if the OUTEST= option
is also specified.
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OUTEST=SAS-data-set
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names the SAS data set to contain
the parameter estimates and optionally the covariance of the estimates.
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OUTL=SAS-data-set
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names the SAS data set to contain the estimated Lagrange multipliers for the models.
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OUTP=SAS-data-set
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names the SAS data set to contain the support points and estimated probabilities.
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OUTS=SAS-data-set
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names the SAS data set to contain the estimated covariance matrix of the equation errors. This is the covariance of the residuals
computed from the parameter estimates.
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OUTSUSED=SAS-data-set
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names the SAS data set to contain the matrix used in the objective function definition. The OUTSUSED= data set is the same as the OUTS= data set for the methods
that iterate the matrix.
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SDATA=SAS-data-set
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specifies a data set that provides the covariance matrix of the equation errors. The matrix read from the SDATA= data set
is used for the equation error covariance matrix ( matrix) in the estimation. The SDATA= matrix is used to provide only the initial estimate of for the methods that iterate the S matrix.