BestEstimates

Best final estimates for LTS

PROC

SUBANALYSIS

BestSubEstimates

Best estimates for each subgroup

PROC

SUBANALYSIS

BiasTest

Bias test for MM estimation

PROC

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

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

GoodFit

R square, deviance, AIC, and BIC

MODEL

METHOD

InitLTSProfile

Profile for initial LTS estimate

PROC

METHOD

InitSProfile

Profile for initial S estimate

PROC

METHOD

IterHistory

Iteration history

PROC

ITPRINT

LTSEstimates

LTS parameter estimates

PROC

METHOD

LTSLocationScale

Location and scale for LTS

PROC

METHOD

LTSProfile

Profile for LTS estimator

PROC

METHOD

LTSRsquare

R square for LTS estimate

PROC

METHOD

MCDDependenceEquations

Robust dependence equations

MODEL

LEVERAGE

MMProfile

Profile for MM estimator

PROC

METHOD

ModelInfo

Model information

MODEL

Default

NObs

Observations summary

PROC

Default

ParameterEstimates

Parameter estimates

MODEL

Default

ParameterEstimatesF

Final weighted LS estimates

PROC

FWLS

ParameterEstimatesR

Reduced parameter estimates

TEST

Default

ParmInfo

Parameter indices

MODEL

Default

SProfile

Profile for S estimator

PROC

METHOD

Groups

Groups for LTS fitting

PROC

SUBANALYSIS

SummaryStatistics

Summary statistics for model variables

MODEL

Default

Tests

Results for tests

TEST

Default