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The CATMOD Procedure |

- BY variables
- If you use a BY statement, the BY variables
are included in the OUT= data set.
- dependent variables
- If the response functions are the default ones (generalized
logits), then the dependent variables, which describe the
response profiles, are included in the OUT= data set.
When _TYPE_=FUNCTION, the values
of these variables are missing.
- independent variables
- The independent variables, which describe the
population profiles, are included in the OUT= data set.
- _NUMBER_
- the sequence number of the response function or
the cell probability or the cell frequency
- _OBS_
- the observed value
- _PRED_
- the predicted value
- _RESID_
- the residual (observed - predicted)
- _SAMPLE_
- the population number.
This matches the sample number in
the Population Profile section of the output.
- _SEOBS_
- the standard error of the observed value
- _SEPRED_
- the standard error of the predicted value
- _TYPE_
- specifies a character variable with three possible values. When _TYPE_=FUNCTION, the observed and predicted values are values of the response functions. When _TYPE_=PROB, they are values of the cell probabilities. When _TYPE_=FREQ, they are values of the cell frequencies. Cell probabilities or frequencies are provided only when the default response functions are modeled. In this case, cell probabilities are provided by default, and cell frequencies are provided if you specify the option PRED=FREQ.

- B1, B2, and so on
- variables for the estimated parameters.
The OUTEST= data set contains one
variable for each estimated parameter.
- BY variables
- If you use a BY statement, the BY variables
are included in the OUT= data set.
- _METHOD_
- the method used to obtain parameter estimates.
For weighted least-squares estimation, _METHOD_=WLS,
and for maximum likelihood estimation, _METHOD_=ML.
- _NAME_
- identifies parameter names.
When _TYPE_=PARMS, _NAME_ is blank, but when
_TYPE_=COV, _NAME_ has one of the values B1,
B2, and so on, corresponding to the parameter names.
- _STATUS_
- indicates whether the estimates have converged
- _TYPE_
- identifies the statistics contained in the variables for parameter estimates (B1, B2, and so on). When _TYPE_=PARMS, the variables contain parameter estimates; when _TYPE_=COV, they contain covariance estimates.

See Appendix A, "Special SAS Data Sets," for more information on special SAS data sets.

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