The SURVEYREG Procedure 
ODS Table Names 
PROC SURVEYREG assigns a name to each table it creates; these names are listed in Table 88.8. You can use these names to refer to tables when you use the Output Delivery System (ODS) to select tables and create output data sets. For more information about ODS, see Chapter 20, Using the Output Delivery System.
To improve the consistency among procedures, tables that are generated by the ESTIMATE statements are changed slightly in appearance and formatting compared to releases prior to SAS/STAT 9.22. However, the statistics in the "Estimates" table remain unchanged. The "Coef" table replaces the previous "EstimateCoef" table that displays the matrix coefficients of an estimable function of the parameters.
The EFFECT, ESTIMATE, LSMEANS, LSMESTIMATE, and SLICE statements also create tables, which are not listed in Table 88.8. For information about these tables, see the corresponding sections of Chapter 19, Shared Concepts and Topics.
ODS Table Name 
Description 
Statement 
Option 

ANOVA 
ANOVA for dependent variable 

ClassVarInfo 
Class level information 
Default 

ContrastCoef 
Coefficients of contrast 

Contrasts 
Analysis of contrasts 
Default 

CovB 
Covariance of estimated 

DataSummary 
Data summary 
Default 

DesignSummary 
Design summary 
Default 

DomainSummary 
Domain summary 
Default 

Effects 
Tests of model effects 
Defect 

FitStatistics 
Fit statistics 
Default 

HadamardMatrix 
Hadamard matrix 

InvXPX 
Inverse matrix of 

ParameterEstimates 
Estimated regression 

StrataInfo 
Stratum information 

VarianceEstimation 
Variance estimation 
Default 

XPX 
matrix 
By referring to the names of such tables, you can use the ODS OUTPUT statement to place one or more of these tables in output data sets.
For example, the following statements create an output data set MyStrata, which contains the "StrataInfo" table, an output data set MyParmEst, which contains the "ParameterEstimates" table, and an output data set Cov, which contains the "CovB" table for the ice cream study discussed in the section Stratified Sampling:
title1 'Ice Cream Spending Analysis'; title2 'Stratified Sample Design'; proc surveyreg data=IceCream total=StudentTotals; strata Grade /list; class Kids; model Spending = Income Kids / solution covb; weight Weight; ods output StrataInfo = MyStrata ParameterEstimates = MyParmEst CovB = Cov; run;
Note that the option CovB is specified in the MODEL statement in order to produce the covariance matrix table.
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