The QUANTREG Procedure

ODS Table Names

The QUANTREG procedure assigns a name to each table that it creates. You can specify these names when you use the Output Delivery System (ODS) to select tables and create output data sets. These names are listed in the Table 8.

Table 8: ODS Tables Produced in PROC QUANTREG

ODS Table Name Description Statement Option
AvgParameterEst Average parameter estimates MODEL FQPR
AvgObjFunction Average objective function MODEL FQPR
BootProcessEst Samplewise bootstrap quantile process estimates CONDDIST MCDF
ClassLevels Classification variable levels CLASS Default
CmpMarginalDist Comparisons of marginal distributions CONDDIST MCDF
CmpTestObs Distribution comparisons to the observed marginal distribution of the test response CONDDIST TESTDATA(MWU)
CmpTrainObs Distribution comparisons to the observed marginal distribution of the training response CONDDIST MWU
CondDistEst Conditional distribution estimates CONDDIST Default
CorrB Parameter estimate correlation matrix MODEL CORRB
CovB Parameter estimate covariance matrix MODEL COVB
DensityEstInfo Density estimation information CONDDIST PDF=KDE
Diagnostics Outlier diagnostics MODEL DIAGNOSTICS
DiagSummary Summary of the outlier diagnostics MODEL DIAGNOSTICS
IPIterHistory Iteration history (interior point) MODEL ITPRINT
ModelInfo Model information MODEL Default
NObs Number of observations PROC QUANTREG Default
ObjFunction Objective function MODEL Default
ParameterEstimates Parameter estimates MODEL Default
ParmInfo Parameter indices MODEL Default
PerfSettings Performance settings PERFORMANCE DETAILS
ProcessEst Quantile process estimates MODEL QUANTILE=
ProcessObj Objective function for quantile process MODEL QUANTILE=
SMIterHistory Iteration history (smoothing) MODEL ITPRINT
SummaryStatistics Summary statistics for model variables MODEL Default
TestAcrossQuantiles Results for across-quantiles test TEST QINTERACT
Tests Results for tests TEST Default
ScalableTiming Timing details PERFORMANCE DETAILS


Last updated: December 09, 2022