Each table created by PROC GLIMMIX has a name associated with it, and you must use this name to reference the table when you use ODS statements. These names are listed in Table 43.25.
Table 43.25: ODS Tables Produced by PROC GLIMMIX
Table Name 
Description 
Required Statement / Option 

AsyCorr 
asymptotic correlation matrix of covariance parameters 
PROC GLIMMIX ASYCORR 
AsyCov 
asymptotic covariance matrix of covariance parameters 
PROC GLIMMIX ASYCOV 
CholG 
Cholesky root of the estimated matrix 

CholV 
Cholesky root of blocks of the estimated matrix 

ClassLevels 
level information from the CLASS statement 
default output 
Coef 
matrix coefficients 
E option in MODEL, CONTRAST, ESTIMATE, LSMESTIMATE, or LSMEANS; ELSM option in LSMESTIMATE 
ColumnNames 
name association for OUTDESIGN data set 
PROC GLIMMIX 
CondFitStatistics 
conditional fit statistics 

Contrasts 
results from the CONTRAST statements 

ConvergenceStatus 
status of optimization at conclusion 
default output 
CorrB 
approximate correlation matrix of fixedeffects parameter estimates 

CovB 
approximate covariance matrix of fixedeffects parameter estimates 

CovBDetails 
details about modelbased and/or adjusted covariance matrix of fixed effects 

CovBI 
inverse of approximate covariance matrix of fixedeffects parameter estimates 

CovBModelBased 
modelbased (unadjusted) covariance matrix of fixed effects if DDFM=KR or EMPIRICAL option is used 

CovParms 
estimated covariance parameters in GLMMs 
default output (in GLMMs) 
CovTests 
results from COVTEST statements (except for confidence bounds) 

Diffs 
differences of LSmeans 

Dimensions 
dimensions of the model 
default output 
Estimates 
results from ESTIMATE statements 

FitStatistics 
fit statistics 
default 
G 
estimated matrix 

GCorr 
correlation matrix from the estimated matrix 

Hessian 
Hessian matrix (observed or expected) 
PROC GLIMMIX HESSIAN 
InvCholG 
inverse Cholesky root of the estimated matrix 

InvCholV 
inverse Cholesky root of the blocks of the estimated matrix 

InvG 
inverse of the estimated matrix 

InvV 
inverse of blocks of the estimated matrix 

IterHistory 
iteration history 
default output 
kdTree 
kd tree information 
RANDOM / TYPE=RSMOOTH KNOTMETHOD= KDTREE(TREEINFO) 
KnotInfo 
knot coordinates of lowrank spline smoother 

LSMeans 
LSmeans 

LSMEstimates 
estimates among LSmeans 

LSMFtest 
F test for LSMESTIMATEs 

LSMLines 
lines display for LSmeans 

ModelInfo 
model information 
default output 
NObs 
number of observations read and used, number of trials and events 
default output 
OddsRatios 
odds ratios of parameter estimates 

OptInfo 
optimization information 
default output 
ParameterEstimates 
fixedeffects solution; overdispersion and scale parameter in GLMs 

ParmSearch 
parameter search values 

QuadCheck 
adaptive recalculation of quadrature approximation at solution 

ResponseProfile 
response categories and category modeled 
default output in models with binary or nominal response 
Slices 
tests of LSmeans slices 

SliceDiffs 
differences of simple LSmeans effects 

SolutionR 
randomeffects solution vector 

StandardizedCoefficients 
fixedeffects solutions from centered and/or scaled model 

Tests1 
Type I tests of fixed effects 

Tests2 
Type II tests of fixed effects 

Tests3 
Type III tests of fixed effects 
default output 
V 
blocks of the estimated matrix 

VCorr 
correlation matrix from the blocks of the estimated matrix 
The SLICE statement also creates tables, which are not listed in Table 43.25. For information about these tables, see the section SLICE Statement in Chapter 19: Shared Concepts and Topics.