
DATA=SASdataset

specifies the input data set. Values for the variables in the model are read from this data set.

PDATA=SASdataset

names the SAS data set that contains the data about priors and supports.

OUT=SASdataset

names the SAS data set to contain the residuals from each estimation.

OUTCOV


COVOUT

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.

OUTEST=SASdataset

names the SAS data set to contain the parameter estimates and optionally the covariance of the estimates.

OUTL=SASdataset

names the SAS data set to contain the estimated Lagrange multipliers for the models.

OUTP=SASdataset

names the SAS data set to contain the support points and estimated probabilities.

OUTS=SASdataset

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.

OUTSUSED=SASdataset

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.

SDATA=SASdataset

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.