The ROBUSTREG Procedure

ODS Table Names

The ROBUSTREG procedure assigns a name to each table that it creates. You can specify these names when using the Output Delivery System (ODS) to select tables and create output data sets. These names are listed in Table 10.

Table 10: ODS Tables Produced by PROC ROBUSTREG

ODS Table Name Description Statement Option
BestEstimates Best final estimates for LTS PROC ROBUSTREG SUBANALYSIS
BestHalf Best half set for LTS PROC ROBUSTREG SUBANALYSIS
BestSubEstimates Best estimates for each subgroup PROC ROBUSTREG SUBANALYSIS
BiasTest Bias test for MM estimation PROC ROBUSTREG BIASTEST
ClassLevels Classification variable levels CLASS Default
CorrB Parameter estimate correlation matrix MODEL CORRB
CovB Parameter estimate covariance matrix MODEL COVB
CStep C-step for LTS fitting PROC ROBUSTREG SUBANALYSIS
DependenceEquations Design dependence equations MODEL LEVERAGE
Diagnostics Outlier diagnostics MODEL DIAGNOSTICS
DiagSummary Summary of the outlier diagnostics MODEL Default
DroppedComponents Coefficients for MCD-dropped components MODEL LEVERAGE (OPC)
GoodFit R square, deviance, AIC, and BIC PROC ROBUSTREG METHOD=
InitLTSProfile Profile for initial LTS estimate PROC ROBUSTREG METHOD=
InitSProfile Profile for initial S estimate PROC ROBUSTREG METHOD=
IterHistory Iteration history PROC ROBUSTREG ITPRINT
LTSEstimates LTS parameter estimates PROC ROBUSTREG METHOD=
LTSLocationScale Location and scale for LTS PROC ROBUSTREG METHOD=
LTSProfile Profile for LTS estimator PROC ROBUSTREG METHOD=
LTSRsquare R square for LTS estimate PROC ROBUSTREG METHOD=
MCDDependenceEquations Robust dependence equations MODEL LEVERAGE
MCDProfile MCD profile MODEL LEVERAGE (MCDINFO)
MCDCenter MCD center estimate MODEL LEVERAGE (MCDINFO)
MCDCov MCD covariance estimate MODEL LEVERAGE (MCDINFO)
MCDCorr MCD correlation estimate MODEL LEVERAGE (MCDINFO)
MMProfile Profile for MM estimator PROC ROBUSTREG METHOD=
ModelInfo Model information MODEL Default
NObs Observations summary PROC ROBUSTREG Default
ParameterEstimates Parameter estimates MODEL Default
ParameterEstimatesF Final weighted LS estimates PROC ROBUSTREG FWLS
ParameterEstimatesR Reduced parameter estimates TEST Default
ParmInfo Parameter indices MODEL Default
SProfile Profile for S estimator PROC ROBUSTREG METHOD=
Groups Groups for LTS fitting PROC ROBUSTREG SUBANALYSIS
SummaryStatistics Summary statistics for model variables MODEL Default
Tests Results for tests TEST Default


Last updated: December 09, 2022