Book Contents
Book Contents
Master Index
Master Index
SAS/STAT User's Guide

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T

T option
MEANS statement (GLM)
MODEL statement(LOESS)
PROC CANCORR statement
T= option
PROC ACECLUS statement
t statistic
approximate
for equality of means
t test
MULTTEST procedure "Example 43.2: Freeman-Tukey and t-Tests with Bootstrap Resampling"
MULTTEST procedure "Statistical Tests"
MULTTEST procedure "TEST Statement"
SURVEYMEANS procedure
t value
CALIS procedure
displaying (CALIS)
t-square statistic
CLUSTER procedure "Miscellaneous Formulas"
CLUSTER procedure "PROC CLUSTER Statement"
table names
MIXED procedure
table scores
TABLEOUT option
PROC REG statement
tables
frequency and crosstabulation (FREQ) "Overview"
frequency and crosstabulation (FREQ) "TABLES Statement"
MIXED procedure
multiway "Displayed Output"
multiway "Displayed Output"
multiway "Displayed Output"
one-way frequency "Displayed Output"
one-way frequency "Displayed Output"
one-way, tests "Chi-Square Tests and Statistics"
one-way, tests "Chi-Square Tests and Statistics"
two-way, tests "Chi-Square Tests and Statistics"
two-way, tests "Chi-Square Tests and Statistics"
TABLES statement
FREQ procedure
TABLES statement, use
CORRESP procedure
TABULATE procedure
TARGET= option
PROC FACTOR statement
TAU= option
PROC NLIN statement
TCORR option
PROC CANDISC statement
PROC DISCRIM statement
PROC STEPDISC statement
TCOV option
PROC CANDISC statement
PROC DISCRIM statement
PROC STEPDISC statement
TDATA= option
PRIOR statement (MIXED)
TDIFF option
LSMEANS statement (GLM)
TDPREFIX= option
OUTPUT statement (TRANSREG)
TECHNIQUE= option
MODEL statement (LOGISTIC)
NLOPTIONS statement (CALIS)
PROC CALIS statement
PROC NLMIXED statement
templates
displaying contents of template
in SASUSER library
modifying "Example 15.10: Using the TEMPLATE Procedure to Customize Output"
modifying "Example 15.11: Creating HTML Output, Linked Within a Single Analysis"
modifying "Using the Output Delivery System"
style templates
table templates
TEMPLATE procedure
test indices
constraints (CALIS)
TEST option
MODEL statement (TRANSREG)
PROC MODECLUS statement
RANDOM statement (GLM)
test set classification
DISCRIM procedure
test set validation
PLS procedure
TEST statement
ANOVA procedure
FREQ procedure
GLM procedure
LOGISTIC procedure
MULTTEST procedure
PHREG procedure
REG procedure
TESTCLASS statement, DISCRIM procedure
TESTDATA= option
PROC DISCRIM statement
TESTF= option
TABLES statement (FREQ) "Chi-Square Tests and Statistics"
TABLES statement (FREQ) "TABLES Statement"
TESTFREQ statement, DISCRIM procedure
TESTID statement, DISCRIM procedure
testing linear hypotheses
LOGISTIC procedure "TEST Statement"
LOGISTIC procedure "Testing Linear Hypotheses about the Regression Coefficients"
TESTLIST option
PROC DISCRIM statement
TESTLISTERR option
PROC DISCRIM statement
TESTOUT= option
PROC DISCRIM statement
TESTOUTD= option
PROC DISCRIM statement
TESTP= option
TABLES statement (FREQ) "Chi-Square Tests and Statistics"
TABLES statement (FREQ) "Example 28.2: Computing Chi-square Tests for One-Way Frequency Tables"
TABLES statement (FREQ) "TABLES Statement"
tests, hypothesis
examples (GLM)
GLM procedure
tetrachoric correlation coefficient
theoretical correlation
INBREED procedure
thin-plate smoothing splines
bootstrap "Example 64.5: Computing a Bootstrap Confidence Interval"
bootstrap "Example 64.5: Computing a Bootstrap Confidence Interval"
large data sets
theoretical foundation
three-way multidimensional scaling
MDS procedure
THRESHOLD= option
PROC ACECLUS statement
PROC DISCRIM statement
PROC MODECLUS statement
threshold response rate
TICKPOS= option
PROC TREE statement
ties
checking for in CLUSTER procedure
MDS procedure
PHREG procedure "Displayed Output"
PHREG procedure "Getting Started"
PHREG procedure "MODEL Statement"
PHREG procedure "MODEL Statement"
PHREG procedure "MODEL Statement"
PHREG procedure "Overview"
PHREG procedure "Partial Likelihood Function for the Cox Model"
TIES= option
MODEL statement (PHREG)
TIME= option
TEST statement (MULTTEST)
time requirements
ACECLUS procedure
CLUSTER procedure
FACTOR procedure "Cautions"
FACTOR procedure "Time Requirements"
VARCLUS procedure "Computational Resources"
VARCLUS procedure "Using PROC VARCLUS"
time series data
REG procedure
time-dependent covariates
PHREG procedure "BASELINE Statement"
PHREG procedure "Getting Started"
PHREG procedure "OUTPUT Statement"
PHREG procedure "Overview"
PHREG procedure "PROC PHREG Statement"
PHREG procedure "Programming Statements"
TIMELIM= option
PROC LIFETEST statement
TIMELIST= option
PROC LIFETEST statement
TIPREFIX option
OUTPUT statement (TRANSREG)
TITLE= option
FACTORS statement (CATMOD)
LOGLIN statement (CATMOD)
MODEL statement (CATMOD)
REPEATED statement (CATMOD)
RESPONSE statement (CATMOD)
Tobit model
LIFEREG procedure "Example 36.2: Computing Predicted Values for a Tobit Model"
LIFEREG procedure "Overview"
Toeplitz structure
example (MIXED)
MIXED procedure
TOL option
MODEL statement (REG)
TOLERANCE option
MODEL statement (GLM)
TOTAL= option
PROC SURVEYMEANS statement
PROC SURVEYREG statement
TOTEFF option
PROC CALIS statement
TOTPANELS= option
PLOT statement (BOXPLOT)
TOTPCT option
TABLES statement (FREQ)
TPREFIX= option
PROC PRINQUAL statement
TPSPLINE procedure
bootstrap
computational formulas
large data sets
nonhomogeneous variance
ODS table names
partial spline model
smoothing parameter
smoothing penalty
TPSPLINE procedure, BY statement
TPSPLINE procedure, FREQ statement
TPSPLINE procedure, ID statement
TPSPLINE procedure, MODEL statement
ALPHA= option
DF= option
DISTANCE= option
LAMBDA= option
LAMBDA0= option
LOGNLAMBDA= option
LOGNLAMBDA0= option
M= option
TPSPLINE procedure, OUTPUT statement
OUT= option
TPSPLINE procedure, PROC TPSPLINE statement
DATA= option
TPSPLINE procedure, SCORE statement
DATA= option
OUT= option
TRACE option
PROC MODECLUS statement
PROC NLIN statement
PROC NLMIXED statement
PROC VARCLUS statement
training data set
DISCRIM procedure
TRANS= option
PRIOR statement (MIXED)
TRANSFORM statement (PRINQUAL)
ARSIN transformation
DEGREE= option
EVENLY option
EXP transformation
IDENTITY transformation
KNOTS= option
LINEAR transformation
LOG transformation
LOGIT transformation
MONOTONE transformation
MSPLINE transformation
NAME= option
NKNOTS= option
OPSCORE transformation
ORIGINAL option
PARAMETER= option
POWER transformation
RANK transformation
SPLINE transformation
SSPLINE transformation
TSTANDARD= option
UNTIE transformation
TRANSFORM statement, PRINQUAL procedure
transformation matrix
orthonormalizing
transformation options
PRINQUAL procedure
TRANSREG procedure
transformation standardization
TRANSREG procedure
transformations
ANOVA procedure
cluster analysis
for multivariate ANOVA "MANOVA Statement"
for multivariate ANOVA "MANOVA Statement"
MDS procedure "Formulas"
MDS procedure "Formulas"
MDS procedure "OUT= Data Set"
MDS procedure "Overview"
MDS procedure "Overview"
MDS procedure "PROC MDS Statement"
MDS procedure "PROC MDS Statement"
MDS procedure "PROC MDS Statement"
oblique "Background"
oblique "PROC FACTOR Statement"
orthogonal "Background"
orthogonal "PROC FACTOR Statement"
repeated measures "Repeated Measures Analysis of Variance"
repeated measures "Repeated Measures Analysis of Variance"
repeated measures "Repeated Measures Analysis of Variance"
repeated measures "Repeated Measures Analysis of Variance"
repeated measures "Repeated Measures Analysis of Variance"
repeated measures "Repeated Measures Analysis of Variance"
transformations for repeated measures
GLM procedure
transformed data
MDS procedure
transformed distances
MDS procedure
TRANSREG procedure
additive models
algorithms
alpha level
ANOVA
ANOVA codings
ANOVA table "Hypothesis Tests"
ANOVA table "MODEL Statement"
ANOVA table in OUTTEST= data set
asterisk (*) operator
at sign (@) operator
B-spline basis "MODEL Statement"
B-spline basis "SPLINE, BSPLINE, and PSPLINE Comparisons"
bar (|) operator
CANALS method
canonical correlation "Model Statement Usage"
canonical correlation "OUTPUT Statement"
canonical variables
casewise deletion
cell-means coding "ANOVA Codings"
cell-means coding "MODEL Statement"
cell-means coding "Model Statement Usage"
center-point coding "ANOVA Codings"
center-point coding "ANOVA Codings"
center-point coding "MODEL Statement"
choice experiments
CLASS variables, prefix
classification variables "MODEL Statement"
classification variables "MODEL Statement"
coefficients, redundancy
confidence limits
confidence limits, individual
confidence limits, mean
confidence limits, prefix "OUTPUT Statement"
confidence limits, prefix "OUTPUT Statement"
confidence limits, prefix "OUTPUT Statement"
confidence limits, prefix "OUTPUT Statement"
confidence limits, prefix "OUTPUT Statement"
confidence limits, prefix "OUTPUT Statement"
confidence limits, prefix "OUTPUT Statement"
confidence limits, prefix "OUTPUT Statement"
conjoint analysis "Example 65.2: Nonmetric Conjoint Analysis of Tire Data"
conjoint analysis "Example 65.3: Metric Conjoint Analysis of Tire Data"
conjoint analysis "MODEL Statement"
conjoint analysis "Model Statement Usage"
conjoint analysis "Model Statement Usage"
conjoint analysis "Model Statement Usage"
constant transformations, avoiding
constant variables "Constant Variables"
constant variables "MODEL Statement"
degrees of freedom
dependent variable list
dependent variable name
design matrix
details of model
deviations-from-means coding "ANOVA Codings"
deviations-from-means coding "ANOVA Codings"
deviations-from-means coding "MODEL Statement"
deviations-from-means coding "Model Statement Usage"
deviations-from-means coding "Using the DESIGN Output Option"
displaying iteration histories
dummy variables
duplicate variable names
effect coding "ANOVA Codings"
effect coding "ANOVA Codings"
effect coding "Main-Effects ANOVA"
effect coding "MODEL Statement"
effect coding "Using the DESIGN Output Option"
excluded observations
excluding nonscore observations
expansions
explicit intercept
frequency variable
full-rank coding
GLMMOD alternative "OUTPUT Statement"
GLMMOD alternative "Using the DESIGN Output Option"
history, iteration
hypothesis tests "Hypothesis Tests"
hypothesis tests "MODEL Statement"
id variables
ideal point model
ideal points
identity transformation
implicit intercept
independent variable list
initialization
interaction effects "MODEL Statement"
interaction effects "Model Statement Usage"
interaction effects "Model Statement Usage"
interaction effects "Model Statement Usage"
interaction effects "Model Statement Usage"
interactions, quantitative
intercept
intercept, none
iterations
iterations, maximum number of
iterations, restarting "MODEL Statement"
iterations, restarting "Using the REITERATE Algorithm Option"
knots "Example 65.1: Using Splines and Knots"
knots "MODEL Statement"
knots "MODEL Statement"
knots "MODEL Statement"
knots "Specifying the Number of Knots"
less-than-full-rank model "ANOVA Codings"
less-than-full-rank model "MODEL Statement"
less-than-full-rank model "Model Statement Usage"
leverage
limiting displayed output
linear regression
linear transformation "MODEL Statement"
linear transformation "OPSCORE, MONOTONE, UNTIE, and LINEAR Transformations"
macros
main effects "MODEL Statement"
main effects "Model Statement Usage"
main effects "Model Statement Usage"
main effects "Model Statement Usage"
main effects "Model Statement Usage"
maximum redundancy analysis
METHOD=MORALS rolled output data set
METHOD=MORALS variable names
metric conjoint analysis
missing value restoration option
missing values "Missing Values"
missing values "Missing Values, UNTIE, and Hypothesis Tests"
missing values "MODEL Statement"
missing values "Passive Observations"
monotone regression function
monotone transformations
monotonic B-spline transformation "MODEL Statement"
monotonic B-spline transformation "SPLINE and MSPLINE Transformations"
monotonic transformation, ties not preserved "MODEL Statement"
monotonic transformation, ties not preserved "OPSCORE, MONOTONE, UNTIE, and LINEAR Transformations"
monotonic transformation, ties preserved "MODEL Statement"
monotonic transformation, ties preserved "OPSCORE, MONOTONE, UNTIE, and LINEAR Transformations"
MORALS dependent variable name
MORALS method
multiple redundancy coefficients
multiple regression
multivariate multiple regression
names of variables
nonlinear regression functions "Model Statement Usage"
nonlinear regression functions "Solving Standard Least-Squares Problems"
nonlinear transformations
nonmetric conjoint analysis
nonoptimal transformations
optimal scaling
optimal scoring "MODEL Statement"
optimal scoring "OPSCORE, MONOTONE, UNTIE, and LINEAR Transformations"
optimal transformations
order of CLASS levels "MODEL Statement"
order of CLASS levels "MODEL Statement"
OUT= data set "Output Data Set"
OUT= data set "OUTPUT Statement"
output table names
OUTTEST= data set
part-worth utilities
passive observations
piecewise polynomial splines "MODEL Statement"
piecewise polynomial splines "SPLINE, BSPLINE, and PSPLINE Comparisons"
%PLOTIT macro "Example 65.5: Preference Mapping of Cars Data"
%PLOTIT macro "Example 65.5: Preference Mapping of Cars Data"
%PLOTIT macro "Output Data Set"
point models
polynomial-spline basis "MODEL Statement"
polynomial-spline basis "SPLINE, BSPLINE, and PSPLINE Comparisons"
predicted values
preference mapping "Example 65.5: Preference Mapping of Cars Data"
preference mapping "Model Statement Usage"
preference models
prefix, canonical variables "OUTPUT Statement"
prefix, canonical variables "OUTPUT Statement"
prefix, redundancy variables
prefix, residuals
redundancy analysis "MODEL Statement"
redundancy analysis "Model Statement Usage"
redundancy analysis "OUTPUT Statement"
redundancy analysis "OUTPUT Statement"
redundancy analysis "Redundancy Analysis"
redundancy analysis, standardization
reference level "MODEL Statement"
reference level "MODEL Statement"
reference level "OUTPUT Statement"
reference-cell coding "ANOVA Codings"
reference-cell coding "ANOVA Codings"
reference-cell coding "MODEL Statement"
reference-cell coding "Model Statement Usage"
regression table
regression table in OUTTEST= data set
reiteration "MODEL Statement"
reiteration "Using the REITERATE Algorithm Option"
renaming and reusing variables
residuals
residuals, prefix
separate regression functions
short output
singularity criterion
smoothing spline transformation
smoothing splines
spline t-options
spline transformation "MODEL Statement"
spline transformation "SPLINE and MSPLINE Transformations"
splines "Example 65.1: Using Splines and Knots"
splines "Example 65.4: Transformation Regression of Exhaust Emissions Data"
splines "MODEL Statement"
splines "MODEL Statement"
splines "Solving Standard Least-Squares Problems"
splines "SPLINE, BSPLINE, and PSPLINE Comparisons"
standardization, redundancy variables
standardization, transformation "MODEL Statement"
standardization, transformation "MODEL Statement"
star (*) operator
transformation options
transformation standardization "MODEL Statement"
transformation standardization "MODEL Statement"
Type II sums of squares
types of observations
_TYPE_
utilities "Example 65.2: Nonmetric Conjoint Analysis of Tire Data"
utilities "Example 65.3: Metric Conjoint Analysis of Tire Data"
utilities "MODEL Statement"
utilities in OUTTEST= data set
variable list macros
variable names
vector preference models
weight variable
TRANSREG procedure, BY statement
TRANSREG procedure, FREQ statement
TRANSREG procedure, ID statement
TRANSREG procedure, MODEL statement
ADDITIVE option
AFTER option
ALPHA= option
ARSIN transformation
BSPLINE transformation
CCONVERGE= option
CL option
CLASS transformation
CONVERGE option
CPREFIX= option "MODEL Statement"
CPREFIX= option "MODEL Statement"
DEGREE= option
DETAIL option
DEVIATIONS option
DUMMY option
EFFECTS option
EPOINT transformation
EVENLY option
EXP transformation
HISTORY option
IDENTITY transformation
KNOTS= option
LINEAR transformation
LOG transformation
LOGIT transformation
LPREFIX= option "MODEL Statement"
LPREFIX= option "MODEL Statement"
MAXITER= option
METHOD= option
MONOTONE= option
MONOTONE transformation
MSPLINE transformation
NAME= option
NCAN= option
NKNOTS= option
NOINT option
NOMISS option
NOPRINT option
OPSCORE transformation
ORDER= option "MODEL Statement"
ORDER= option "MODEL Statement"
ORIGINAL option
PARAMETER= option
POINT transformation
POWER transformation
PSPLINE transformation
QPOINT transformation
RANK transformation
REFERENCE= option
REFLECT option
REITERATE option
SEPARATORS= option "MODEL Statement"
SEPARATORS= option "MODEL Statement"
SHORT option
SINGULAR= option
SM= option
SMOOTH transformation
SPLINE transformation
SS2 option
SSPLINE transformation
TEST option
TSTANDARD= option "MODEL Statement"
TSTANDARD= option "MODEL Statement"
TYPE= option
UNTIE= option
UNTIE transformation
UTILITIES option
ZERO= option
TRANSREG procedure, OUTPUT statement
ADPREFIX= option
AIPREFIX option
APPROXIMATIONS option
CANONICAL option
CCC option
CDPREFIX= option
CEC option
CILPREFIX= option
CIPREFIX= option
CIUPREFIX= option
CLI option
CLM option
CMLPREFIX= option
CMUPREFIX= option
COEFFICIENTS option
COORDINATES option
CPC option
CQC option
DAPPROXIMATIONS option
DEPENDENT= option
DESIGN= option
DREPLACE option
IAPPROXIMATIONS option
IREPLACE option
LEVERAGE= option
LILPREFIX= option
LIUPREFIX= option
LMLPREFIX= option "OUTPUT Statement"
LMLPREFIX= option "OUTPUT Statement"
MACRO option
MEANS option
MEC option
MPC option
MQC option
MRC option
MREDUNDANCY option
NORESTOREMISSING option
NOSCORES option
NOZEROCONSTANT option
OUT= option
PPREFIX option
PREDICTED option
RDPREFIX= option
REDUNDANCY= option
REFERENCE= option
REPLACE option
RESIDUALS option
RPREFIX= option
TDPREFIX= option
TIPREFIX option
TRANSREG procedure, PROC TRANSREG statement
DATA= option
OUTTEST= option
TRANSREG procedure, WEIGHT statement
treatments in a design
specifying in PLAN procedure
TREATMENTS statement
PLAN procedure
tree diagram
binary tree
branch
children
definitions
leaves
node
parent
root
tree diagrams
cluster analysis
TREE procedure
missing values
OUT= data sets
output data sets
output table names
TREE procedure, BY statement
TREE procedure, COPY statement
TREE procedure, FREQ statement
TREE procedure, HEIGHT statement
TREE procedure, ID statement
TREE procedure, NAME statement
TREE procedure, PARENT statement
TREE procedure, PROC TREE statement
CFRAME= option
DATA= option
DESCENDING option
DESCRIPTION= option
DISSIMILAR option
DOCK= option
FILLCHAR= option
GOUT= option
HAXIS= option
HEIGHT= option
HORDISPLAY= option
HORIZONTAL option
HPAGES= option
INC= option
JOINCHAR= option
LEAFCHAR= option
LEVEL= option
LINEPRINTER option
LINES= option
LIST option
MAXHEIGHT= option
MINHEIGHT= option
NAME= option
NCLUSTERS= option
NOPRINT option
NTICK= option
OUT= option
PAGES= option
POS= option
ROOT= option
SIMILAR option
SORT option
SPACES= option
TICKPOS= option
TREECHAR= option
VAXIS= option
VPAGES= option
TREECHAR= option
PROC TREE statement
TREND option
EXACT statement (FREQ) "EXACT Statement"
EXACT statement (FREQ) "Example 28.7: Computing the Cochran-Armitage Trend Test"
OUTPUT statement (FREQ)
TABLES statement (FREQ) "Example 28.7: Computing the Cochran-Armitage Trend Test"
TABLES statement (FREQ) "TABLES Statement"
trend test
Cochran-Armitage
TRIM= option
and other options
and other options (CLUSTER) "PROC CLUSTER Statement"
and other options (CLUSTER) "PROC CLUSTER Statement"
and other options (CLUSTER) "PROC CLUSTER Statement"
and other options (CLUSTER) "PROC CLUSTER Statement"
PROC CLUSTER statement "PROC CLUSTER Statement"
PROC CLUSTER statement "PROC CLUSTER Statement"
triweight kernel (DISCRIM)
trust region (TR)
trust region algorithm
CALIS procedure "PROC CALIS Statement"
CALIS procedure "Use of Optimization Techniques"
TSSCP option
PROC CANDISC statement
PROC DISCRIM statement
PROC STEPDISC statement
TSTANDARD= option
MODEL statement (TRANSREG)
PROC PRINQUAL statement
TRANSFORM statement (PRINQUAL)
TSYMM option
OUTPUT statement (FREQ)
TTEST procedure
alpha level
Cochran and Cox t approximation "Computational Methods"
Cochran and Cox t approximation "Overview"
Cochran and Cox t approximation "PROC TTEST Statement"
compared to other procedures
computational method
confidence intervals
input data set
introductory example
missing values
ODS table names
paired comparisons "Example 67.3: Paired Comparisons"
paired comparisons "Overview"
paired t test
paired-difference t test
Satterthwaite's approximation "Computational Methods"
Satterthwaite's approximation "Overview"
uniformly most powerful unbiased test
TTEST procedure, BY statement
TTEST procedure, CLASS statement
TTEST procedure, FREQ statement
TTEST procedure, PAIRED statement
TTEST procedure, PROC TTEST statement
ALPHA= option
CI= option
COCHRAN option
DATA= option
TTEST procedure, VAR statement
TTEST procedure, WEIGHT statement
Tucker and Lewis's Reliability Coefficient
TUKEY option
MEANS statement (ANOVA)
MEANS statement (GLM)
Tukey's adjustment
GLM procedure
MIXED procedure
Tukey's studentized range test
Tukey-Kramer test
TURNHLABELS option
PLOT statement (BOXPLOT)
two-sample t-test
two-stage density linkage
CLUSTER procedure "Clustering Methods"
CLUSTER procedure "PROC CLUSTER Statement"
Type 1 analysis
GENMOD procedure "The GENMOD Procedure"
GENMOD procedure "Type 1 Analysis"
Type 1 error rate
repeated multiple comparisons
Type 1 estimation
MIXED procedure
Type 2 estimation
MIXED procedure
Type 3 analysis
GENMOD procedure "The GENMOD Procedure"
GENMOD procedure "Type 3 Analysis"
Type 3 estimation
MIXED procedure
TYPE= data sets
FACTOR procedure
Type H covariance structure
Type I sum of squares
computing in GLM
displaying (GLM)
estimable functions for
estimable functions for (GLM)
examples
Type I testing
MIXED procedure
Type II sum of squares
computing in GLM
displaying (GLM)
estimable functions for
estimable functions for (GLM)
examples
Type II sums of squares
TRANSREG procedure
Type II testing
MIXED procedure
Type III sum of squares
displaying (GLM)
estimable functions for
estimable functions for (GLM)
examples
Type III testing
MIXED procedure "Default Output"
MIXED procedure "MODEL Statement"
Type IV sum of squares
computing in GLM
displaying (GLM)
estimable functions for
estimable functions for (GLM)
examples
TYPE= option
MODEL statement (TRANSREG)
PROC PRINQUAL statement
PROC SCORE statement
RANDOM statement (MIXED)
REPEATED statement (GENMOD)
REPEATED statement (MIXED)
TYPE1 option
MODEL statement (GENMOD)
TYPE3 option
MODEL statement (GENMOD)

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