OUTPUT Statement |
The OUTPUT statement creates an output SAS data set that contains statistics calculated after fitting the model. At least one specification of the form keyword=name is required.
All variables in the original data set are included in the new data set, along with the variables that are created with keyword options in the OUTPUT statement. These new variables contain fitted values and estimated quantiles. If you want to create a permanent SAS data set, you must specify a two-level name (refer to SAS Language Reference: Concepts for more information about permanent SAS data sets).
The following specifications can appear in the OUTPUT statement:
specifies the new data set. By default, the procedure uses the DATAn convention to name the new data set.
specifies the statistics to include in the output data set and gives names to the new variables. Specify a keyword for each desired statistic (see the following list), an equal sign, and the variable to contain the statistic.
The keywords allowed and the statistics they represent are as follows:
specifies a variable to indicate leverage points. To include this variable in the OUTPUT data set, you must specify the LEVERAGE option in the PROC ROBUSTREG statement. See the section Leverage Point and Outlier Detection for how to define LEVERAGE.
specifies a variable to contain the Mahalanobis distances. See the section Robust Distance for the definition of Mahalanobis distance.
specifies a variable to indicate outliers. See the section Leverage Point and Outlier Detection for information about how to define OUTLIER.
specifies a variable to contain the projected Mahalanobis distances. See the section Robust Distance for the definition of projected Mahalanobis distance.
specifies a variable to contain the projected off-plane distances. See the section Robust Distance for the definition of off-plane distance.
specifies a variable to contain the projected robust MCD Mahalanobis distances. See the section Robust Distance for the definition of projected robust distance.
specifies a variable to contain the estimated responses
specifies a variable to contain the robust MCD Mahalanobis distances. See the section Robust Distance for the definition of robust distance.
specifies a variable to contain the unstandardized residuals
specifies a variable to contain the standardized residuals
By default, the LTS method uses Wscale as for computing the standardized residuals.
specifies a variable to contain the estimates of the standard errors of the estimated mean responses
where denotes the covariance matrix of the parameter estimates. You can request the ODS table of this covariance matrix by using the COVB option of the MODEL statement. The STDP= option is applied to M, S, and MM estimation, but not to LTS estimation.