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

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P

P option
MODEL statement (GLM)
MODEL statement (REG)
PROC ACECLUS statement
P-P plots
REG procedure "Construction of Q-Q and P-P Plots"
REG procedure "Example 50.8: Creating PP and QQ Plots"
p-value adjustments
Bonferroni (MULTTEST) "p-Value Adjustments"
Bonferroni (MULTTEST) "PROC MULTTEST Statement"
bootstrap (MULTTEST) "Drug Example"
bootstrap (MULTTEST) "Example 39.2: Freeman-Tukey and t-Tests with Bootstrap Resampling"
bootstrap (MULTTEST) "p-Value Adjustments"
bootstrap (MULTTEST) "PROC MULTTEST Statement"
false discovery rate (MULTTEST)
Hochberg (MULTTEST)
MULTTEST procedure "Overview"
MULTTEST procedure "p-Value Adjustments"
permutation (MULTTEST) "Example 39.4: Fisher Test with Permutation Resampling"
permutation (MULTTEST) "p-Value Adjustments"
permutation (MULTTEST) "PROC MULTTEST Statement"
Sidak (MULTTEST) "Example 39.3: Peto Test"
Sidak (MULTTEST) "p-Value Adjustments"
Sidak (MULTTEST) "PROC MULTTEST Statement"
p-value computation
MODECLUS procedure
PAGE option
PROC FREQ statement
PAGES= option
PROC TREE statement
painting line-printer plots
REG procedure
paired comparisons "Example 58.3: Paired Comparisons"
paired comparisons "Overview"
PAIRED statement
TTEST procedure
paired t test
paired-difference t test
pairwise comparisons
GLM procedure
pairwise distances
VARIOGRAM procedure "COMPUTE Statement"
VARIOGRAM procedure "Overview"
VARIOGRAM procedure "Preliminary Variogram Analysis"
PALL option
NLOPTIONS statement (CALIS)
PROC CALIS statement
panels
INBREED procedure "Example 30.3: Pedigree Analysis with BY Groups"
INBREED procedure "OUTCOV= Data Set"
parameter constraints
MIXED procedure "Computational Issues"
MIXED procedure "PARMS Statement"
parameter estimates
covariance matrix (CATMOD)
example (REG)
PHREG procedure "Displayed Output"
PHREG procedure "Getting Started"
PHREG procedure "PROC PHREG Statement"
REG procedure
PARAMETER= option
MODEL statement (TRANSREG)
TRANSFORM statement (PRINQUAL)
parameterization
mixed model (MIXED)
MIXED procedure
parameterization of models
GLM procedure
PARAMETERS statement, CALIS procedure
parametric discriminant analysis
PARENT statement
TREE procedure
Pareto charts
PARMS= option
OUTPUT statement
PARMS statement, CALIS procedure
PARMSDATA= option
PARMS statement (MIXED)
parsimax method "Overview"
parsimax method "PROC FACTOR Statement"
part-worth utilities
TRANSREG procedure "Example 56.2: Nonmetric Conjoint Analysis of Tire Data"
TRANSREG procedure "Example 56.3: Metric Conjoint Analysis of Tire Data"
TRANSREG procedure "MODEL Statement"
partial canonical correlation
partial correlations
and principal components
CANCORR procedure "PARTIAL Statement"
CANCORR procedure "PROC CANCORR Statement"
multivariate analysis of variance
partial least squares "Basic Features"
partial least squares "Regression Methods"
PHREG procedure "Overview"
PHREG procedure "Partial Likelihood Function for the Cox Model"
partial likelihood
PHREG procedure
PARTIAL option
MODEL statement (REG)
partial regression leverage plots
REG procedure
PARTIAL statement
CALIS procedure
PRINCOMP procedure
VARCLUS procedure
partially balanced square lattice
LATTICE procedure
partitions
MDS procedure "Formulas"
MDS procedure "PROC MDS Statement"
passive observations
PRINQUAL procedure
TRANSREG procedure
path diagram (CALIS)
exogenous variables
factor analysis model
structural model example "RAM Model Statement"
structural model example "Structural Equation Models"
PC option
MODEL statement (REG)
PLOT statement (REG)
PCE option
PROC CALIS statement
PCHI option
EXACT statement (FREQ)
OUTPUT statement (FREQ) "Example 26.5: Creating an Output Data Set Containing Chi-Square Statistics"
OUTPUT statement (FREQ) "OUTPUT Statement"
PCOEF option
PROC MDS statement
PCOMIT= option
MODEL statement (REG)
PROC REG statement
PCONFIG option
PROC MDS statement
PCORR option
EXACT statement (FREQ)
OUTPUT statement (FREQ)
PROC CALIS statement
PROC CANCORR statement
PROC CANDISC statement
PROC DISCRIM statement
PROC STEPDISC statement
TEST statement (FREQ)
PCORR1 option
MODEL statement (REG)
PCORR2 option
MODEL statement (REG)
PCOV option
PROC CANDISC statement
PROC DISCRIM statement
PROC STEPDISC statement
PCOVES option
PROC CALIS statement
PCRPJAC option
NLOPTIONS statement (CALIS)
PCTLDEF= option
STDIZE procedure, PROC STDIZE statement
PCTLMTD option
STDIZE procedure, PROC STDIZE statement
PCTLPTS option
STDIZE procedure, PROC STDIZE statement
PDATA option
PROC MDS statement
PARMS statement (MIXED)
PROC MULTTEST statement
PDE option
PROC CALIS statement
PDETERM option
PROC CALIS statement
PDIFF option
LSMEANS statement (GLM)
LSMEANS statement (MIXED)
Pearson chi-square test
Pearson chi-square test statistic "Lack of Fit Tests"
Pearson chi-square test statistic "PROC PROBIT Statement"
Pearson correlation coefficient
Pearson residuals
GENMOD procedure
LOGISTIC procedure
GENMOD procedure
Pearson's chi-square
GENMOD procedure
LOGISTIC procedure "MODEL Statement"
LOGISTIC procedure "Overdispersion"
pedigree analysis
example (INBREED) "Example 30.2: Pedigree Analysis"
example (INBREED) "Example 30.3: Pedigree Analysis with BY Groups"
INBREED procedure "Getting Started"
INBREED procedure "Overview"
INBREED procedure "The Format of the Input Data Set"
PENALTY= option
PROC CLUSTER statement
PERCENT= option
PROC ACECLUS statement
VARCLUS statement
PERM option
PROC MULTTEST statement
TEST statement (MULTTEST)
permutation
adjustment (MULTTEST) "p-Value Adjustments"
adjustment (MULTTEST) "PROC MULTTEST Statement"
PERMUTATION option
PROC MULTTEST statement "Example 39.1: Cochran-Armitage Test with Permutation Resampling"
PROC MULTTEST statement "Example 39.4: Fisher Test with Permutation Resampling"
PROC MULTTEST statement "p-Value Adjustments"
PROC MULTTEST statement "PROC MULTTEST Statement"
TEST statement (MULTTEST) "Example 39.1: Cochran-Armitage Test with Permutation Resampling"
TEST statement (MULTTEST) "Statistical Tests"
TEST statement (MULTTEST) "TEST Statement"
permutations
generating with PLAN procedure
PES option
PROC CALIS statement
PESTIM option
PROC CALIS statement
PETO option
TEST statement (MULTTEST) "Example 39.3: Peto Test"
TEST statement (MULTTEST) "Statistical Tests"
Peto test
MULTTEST procedure "Example 39.3: Peto Test"
MULTTEST procedure "Statistical Tests"
MULTTEST procedure "TEST Statement"
PEVENT= option
MODEL statement (LOGISTIC)
PFINAL option
PROC MDS statement
PFIT option
PROC MDS statement
PFITROW option
PROC MDS statement
pharmaceutical stability
example (MIXED)
phenogram
PHES option
NLOPTIONS statement (CALIS)
PHESSIAN option
NLOPTIONS statement (CALIS)
phi coefficient
PHI option
OUTPUT statement (FREQ)
PHIS option
NLOPTIONS statement (CALIS)
PHISTORY option
NLOPTIONS statement (CALIS)
PHREG procedure
Andersen-Gill model
PHREG procedure
Andersen-Gill model
baseline hazard function
BASELINE statistics
branch and bound algorithm "Example 44.2: Best Subset Selection"
branch and bound algorithm "Variable Selection Methods"
Breslow likelihood
case-control studies "Example 44.3: Conditional Logistic Regression for m:n Matching"
case-control studies "MODEL Statement"
case-control studies "Overview"
censoring variable "Example 44.3: Conditional Logistic Regression for m:n Matching"
censoring variable "Getting Started"
censoring variable "MODEL Statement"
conditional logistic regression "Example 44.3: Conditional Logistic Regression for m:n Matching"
conditional logistic regression "Overview"
continuous time scale "Example 44.3: Conditional Logistic Regression for m:n Matching"
continuous time scale "MODEL Statement"
continuous time scale "Overview"
counting process
covariance matrix "MODEL Statement"
covariance matrix "Newton-Raphson Method"
covariance matrix "PROC PHREG Statement"
Cox regression analysis "Getting Started"
Cox regression analysis "Overview"
cumulative baseline hazard function
DATA step statements "Example 44.4: Model Using Time-Dependent Explanatory Variables"
DATA step statements "Getting Started"
DATA step statements "Programming Statements"
DATA step statements "Syntax"
descriptive statistics
DFBETA statistics
discrete logistic model "Example 44.3: Conditional Logistic Regression for m:n Matching"
discrete logistic model "MODEL Statement"
discrete logistic model "Overview"
disk space
displayed output
Efron likelihood
event times "BASELINE Statement"
event times "Getting Started"
event times "MODEL Statement"
event times "Overview"
event times "Partial Likelihood Function for the Cox Model"
event times "Survival Distribution Estimates for the Cox Model"
exact likelihood
global influence "Influence of Observations on Overall Fit of the Model"
global influence "OUTPUT Statement"
global null hypothesis "Displayed Output"
global null hypothesis "Getting Started"
global null hypothesis "Testing the Global Null Hypothesis"
hazard function "Failure Time Distribution"
hazard function "Overview"
hazards ratio "Getting Started"
hazards ratio "Hazards Ratio Estimates and Confidence Limits"
hazards ratio confidence interval
iteration history "Displayed Output"
iteration history "MODEL Statement"
left truncation time "Left Truncation of Failure Times"
left truncation time "MODEL Statement"
likelihood displacement "Influence of Observations on Overall Fit of the Model"
likelihood displacement "OUTPUT Statement"
likelihood ratio test "Displayed Output"
likelihood ratio test "Testing the Global Null Hypothesis"
linear hypotheses "Overview"
linear hypotheses "TEST Statement"
linear hypotheses "Testing Linear Hypotheses about Regression Coefficients"
linear predictor "BASELINE Statement"
linear predictor "Example 44.7: Analysis of Residuals"
linear predictor "OUTPUT Statement"
local influence "Diagnostics Based on Weighted Residuals"
local influence "OUTPUT Statement"
log-rank test
Mantel-Haenszel test
missing values "Example 44.4: Model Using Time-Dependent Explanatory Variables"
missing values "MODEL Statement"
missing values "Programming Statements"
missing values as strata
model selection "MODEL Statement"
model selection "Overview"
model selection "Variable Selection Methods"
model selection, entry
model selection, removal
multiplicative hazards model "Example 44.8: Multiple Failure Outcomes"
multiplicative hazards model "The Multiplicative Hazards Model"
ODS table names
offset variable
OUTPUT statistics
parameter estimates "Displayed Output"
parameter estimates "Getting Started"
parameter estimates "PROC PHREG Statement"
partial likelihood "Overview"
partial likelihood "Partial Likelihood Function for the Cox Model"
partial likelihood "The Multiplicative Hazards Model"
Prentice-Williams-Peterson model
programming statements "Example 44.4: Model Using Time-Dependent Explanatory Variables"
programming statements "Getting Started"
programming statements "PROC PHREG Statement"
programming statements "Programming Statements"
programming statements "Syntax"
proportional hazards model "Getting Started"
proportional hazards model "MODEL Statement"
proportional hazards model "Overview"
residual chi-square
residuals "Diagnostics Based on Weighted Residuals"
residuals "Example 44.7: Analysis of Residuals"
residuals "OUTPUT Statement"
residuals "Residuals"
response variable "Example 44.3: Conditional Logistic Regression for m:n Matching"
response variable "Getting Started"
risk set "Example 44.4: Model Using Time-Dependent Explanatory Variables"
risk set "Getting Started"
risk set "Partial Likelihood Function for the Cox Model"
risk weights
score test "Displayed Output"
score test "Example 44.1: Stepwise Regression"
score test "MODEL Statement"
score test "Testing the Global Null Hypothesis"
selection methods "MODEL Statement"
selection methods "Overview"
selection methods "Variable Selection Methods"
singularity criterion
standard error "Displayed Output"
standard error "OUTPUT Statement"
step halving
strata variables
stratified analysis "Overview"
stratified analysis "STRATA Statement"
survival distribution function
survival times "Example 44.3: Conditional Logistic Regression for m:n Matching"
survival times "Overview"
survivor function "BASELINE Statement"
survivor function "Example 44.6: Survivor Function Estimates for Specific Covariate Values"
survivor function "Failure Time Distribution"
survivor function "OUTPUT Statement"
survivor function "Overview"
survivor function "Survival Distribution Estimates for the Cox Model"
ties "Displayed Output"
ties "Getting Started"
ties "MODEL Statement"
ties "Overview"
ties "Partial Likelihood Function for the Cox Model"
time-dependent covariates "BASELINE Statement"
time-dependent covariates "Getting Started"
time-dependent covariates "OUTPUT Statement"
time-dependent covariates "Overview"
time-dependent covariates "PROC PHREG Statement"
time-dependent covariates "Programming Statements"
Wald test "Displayed Output"
Wald test "Example 44.3: Conditional Logistic Regression for m:n Matching"
Wald test "TEST Statement"
Wald test "Testing Linear Hypotheses about Regression Coefficients"
Wald test "Testing the Global Null Hypothesis"
Wei-Lin-Weissfeld model
PHREG procedure, BASELINE statement
ALPHA= option
CLTYPE= option
COVARIATES= option
keyword= option
METHOD= option
NOMEAN option
OUT= option
PHREG procedure, BY statement
PHREG procedure, FREQ statement
PHREG procedure, ID statement
PHREG procedure, MODEL statement
ALPHA= option
BEST= option
CORRB option
COVB option
DETAILS option
ENTRY= option
ENTRYTIME= option
INCLUDE= option
ITPRINT option
MAXITER= option
MAXSTEP= option
NOFIT option
OFFSET= option
RISKLIMITS option
RL option
SELECTION= option
SEQUENTIAL option
SINGULAR= option
SLE= option
SLENTRY= option
SLS= option
SLSTAY= option
SR option
START= option
STOP= option
STOPRES option
TIES= option
PHREG procedure, OUTPUT statement
keyword= option
METHOD= option
ORDER= option
OUT= option
PHREG procedure, PROC PHREG statement
COVOUT option
DATA= option
MULTIPASS option
NOPRINT option
NOSUMMARY option
OUTEST= option
SIMPLE option
PHREG procedure, STRATA statement
MISSING option
PHREG procedure, TEST statement
PRINT option
piecewise polynomial splines
TRANSREG procedure "MODEL Statement"
TRANSREG procedure "SPLINE, BSPLINE, and PSPLINE Comparisons"
Pillai's trace
PIN option
NLOPTIONS statement (CALIS)
PROC CALIS statement
PINAVDATA option
PROC MDS statement
PINEIGVAL option
PROC MDS statement
PINEIGVEC option
PROC MDS statement
PININ option
PROC MDS statement
PINIT option
NLOPTIONS statement (CALIS)
PROC MDS statement
PINITIAL option
PROC CALIS statement
PITER option
PROC MDS statement
PJACPAT option
PROC CALIS statement
PJP option
PROC CALIS statement
PJTJ option
NLOPTIONS statement (CALIS)
PLAN procedure
combinations
compared to other procedures
factor, selecting levels for
PLAN procedure
factor, selecting levels for
factor-value-setting specification
generalized cyclic incomplete block design
hierarchical design
incomplete block design "Example 45.3: An Incomplete Block Design"
incomplete block design "Example 45.5: A Generalized Cyclic Incomplete Block Design"
input data sets "OUTPUT Statement"
input data sets "PROC PLAN Statement"
introductory example
Latin square design
nested design
ODS table names
output data sets "Output Data Sets"
output data sets "OUTPUT Statement"
output data sets "PROC PLAN Statement"
permutations
random number generators
randomizing designs "Output Data Sets"
randomizing designs "Randomizing Designs"
specifying factor structures
split-plot design
syntax
treatments, specifying
using interactively
PLAN procedure, FACTOR statement
NOPRINT option
PLAN procedure, FACTORS statement
PLAN procedure, OUTPUT statement
CVALS= option
factor-value-settings option
NVALS= option
ORDERED option
OUT= option
RANDOM option
PLAN procedure, PROC PLAN statement
ORDERED option
SEED option
PLAN procedure, TREATMENTS statement
PLATCOV option
PROC CALIS statement
PLC option
PROC CALIS statement
PLCL option
MODEL statement (LOGISTIC)
PLCONV= option
MODEL statement (LOGISTIC)
PLCORR option
OUTPUT statement (FREQ)
TABLES statement (FREQ)
PLOT option
PROC FACTOR statement
PLOTIT macro
CORRESP procedure "Example 22.2: Multiple Correspondence Analysis of Cars and Their Owners"
CORRESP procedure "Example 22.3: Simple Correspondence Analysis of U.S. Population"
CORRESP procedure "Getting Started"
MDS procedure
plotit macro
CANDISC procedure
DISCRIM procedure
PRINCOMP procedure "Example 47.1: Crime Rates"
PRINCOMP procedure "Getting Started"
PRINQUAL procedure
TRANSREG procedure "Example 56.5: Preference Mapping of Cars Data"
TRANSREG procedure "Output Data Set"
plots
examples (REG)
high resolution (REG)
keywords (REG)
likelihood (MIXED)
line printer (REG) "Line Printer Scatter Plot Features"
line printer (REG) "PLOT Statement"
MDS procedure
of configuration (MDS)
of dimension coefficients (MDS)
of linear fit (MDS)
options (REG)
PLOTS= option
PROC LIFETEST statement
plotting samples from univariate distributions
MODECLUS procedure
PLRL option
MODEL statement (LOGISTIC)
PLS procedure
algorithms
centering
compared to other procedures
components
computation method
cross validation "Basic Features"
cross validation "Cross Validation"
cross validation method
examples
factors
factors, selecting the number of
introductory example
latent vectors
ODS table names
outlier detection
output data sets
output keywords
partial least squares regression "Basic Features"
partial least squares regression "Overview"
partial least squares regression "Regression Methods"
predicting new observations
principal components regression "Basic Features"
principal components regression "Regression Methods"
reduced rank regression "Basic Features"
reduced rank regression "Regression Methods"
scaling
SIMPLS method
syntax
test set validation "Cross Validation"
test set validation "Example 46.3: Choosing a PLS Model by Test Set Validation"
PLS procedure, BY statement
PLS procedure, CLASS statement
PLS procedure, MODEL statement
INTERCEPT option
SOLUTION option
PLS procedure, OUTPUT statement
PLS procedure, PROC PLS statement
ALGORITHM= option
CENSCALE option
CV= option
CVTEST= option
DATA= option
DETAILS option
EPSILON= option
MAXITER= option
METHOD= option
NFAC= option
NITER= option
NOCENTER option
NOCVSTDIZE option
NOPRINT option
NOSCALE option
NTEST= option
PVAL= option
SEED= option
STAT= option
VARSCALE option
PMAT option
PROC CALIS statement
PNLCJAC option
NLOPTIONS statement (CALIS)
point models
TRANSREG procedure
point pairs
VARIOGRAM procedure
POINT transformation
MODEL statement (TRANSREG)
Poisson distribution
GENMOD procedure
Poisson regression
GENMOD procedure "Examples of Generalized Linear Models"
GENMOD procedure "Poisson Regression"
polychoric correlation coefficient
polynomial effects
GENMOD procedure
MIXED procedure
model parameterization (GLM)
specifying (GLM)
POLYNOMIAL keyword
REPEATED statement (ANOVA)
polynomial model
GLMMOD procedure
POLYNOMIAL option
REPEATED statement (GLM) "Example 28.7: Repeated Measures Analysis of Variance"
REPEATED statement (GLM) "Repeated Measures Analysis of Variance"
POLYNOMIAL option
REPEATED statement (GLM)
polynomial regression
REG procedure
polynomial-spline basis
TRANSREG procedure "MODEL Statement"
TRANSREG procedure "SPLINE, BSPLINE, and PSPLINE Comparisons"
POOL= option
PROC DISCRIM statement
pooled scale estimates
pooled within-cluster covariance matrix
definition
population (INBREED)
monoecious
multiparous "DATA= Data Set"
multiparous "PROC INBREED Statement"
nonoverlapping
overlapping "Computational Details"
overlapping "Performing the Analysis"
overlapping "The Format of the Input Data Set"
population clusters
risks of estimating (MODECLUS)
POPULATION statement, CATMOD procedure
POS= option
PROC TREE statement
posterior probability
DISCRIM procedure "Example 23.1: Univariate Density Estimates and Posterior Probabilities"
DISCRIM procedure "Example 23.2: Bivariate Density Estimates and Posterior Probabilities"
error rate estimation (DISCRIM)
POSTERR option
PROC DISCRIM statement
POW= option
PROC MODECLUS statement
POWER= option
PROC FACTOR statement
PROC MODECLUS statement
power semivariogram model
KRIGE2D procedure
POWER transformation
MODEL statement (TRANSREG)
TRANSFORM statement (PRINQUAL)
power-of-the-mean model
MIXED procedure
PP option
PROC ACECLUS statement
PPC convergence measure
PPREFIX option
OUTPUT statement (TRANSREG)
PPROB= option
MODEL statement (LOGISTIC)
PR2E= option
PROC STEPDISC statement
PR2ENTRY= option
PROC STEPDISC statement
PR2S= option
PROC STEPDISC statement
PR2STAY= option
PROC STEPDISC statement
PRE option
PROC CALIS statement
PRED option
MODEL statement (GENMOD)
PLOT statement (REG)
MODEL statement (CATMOD)
PREDET option
PROC CALIS statement
PREDICT option
MODEL statement (CATMOD)
MODEL statement (RSREG)
PROC SCORE statement
PREDICT statement (KRIGE2D)
MAX= option
MINPOINTS= option
NODECREMENT option
NOINCREMENT option
NUMPOINTS= option
RADIUS= option
VAR= option
PREDICT statement, KRIGE2D procedure
PREDICTED keyword
OUTPUT statement (GLM)
OUTPUT statement, LIFEREG procedure
predicted means
MIXED procedure
predicted model matrix
CALIS procedure "Estimation Criteria"
CALIS procedure "Exogenous Manifest Variables"
CALIS procedure "Output Data Sets"
displaying (CALIS)
singular (CALIS)
PREDICTED option
MODEL statement (GENMOD)
OUTPUT statement (TRANSREG)
OUTPUT statement
predicted population margins
GLM procedure
predicted probabilities
LOGISTIC procedure
predicted residual sum of squares
RSREG procedure
predicted value confidence intervals
MIXED procedure
predicted values
example (MIXED)
LIFEREG procedure
mixed model (MIXED)
MIXED procedure
NLIN procedure
REG procedure
response functions (CATMOD)
TRANSREG procedure
VARIOGRAM procedure
prediction
example (REG)
REG procedure
PREDPROBS= option
OUTPUT statement (LOGISTIC)
preference mapping
TRANSREG procedure
preference mapping analysis
TRANSREG procedure
preference models
TRANSREG procedure
prefix
disturbances (CALIS)
latent variables (CALIS)
MATRIX statement (CALIS)
RAM statement (CALIS)
residuals (CALIS)
prefix name
LINEQS statement (CALIS)
STD statement (CALIS)
PREFIX= option
MANOVA statement (ANOVA)
MANOVA statement (GLM)
PROC ACECLUS statement
PROC CANDISC statement
PROC GLMMOD statement
PROC PRINCOMP statement
PROC PRINQUAL statement
PREFMAP analysis
TRANSREG procedure
preliminary cluster, definition
preliminary clusters
using in CLUSTER procedure
Prentice-Williams-Peterson model
PHREG procedure
PREPLOT option
PROC FACTOR statement
PREROTATE= option
PROC FACTOR statement
PRESS keyword
OUTPUT statement (GLM)
PRESS option
MODEL statement (REG)
MODEL statement (RSREG)
PROC REG statement
PRESS statistic
RSREG procedure
prevalence test
MULTTEST procedure "Example 39.3: Peto Test"
MULTTEST procedure "Statistical Tests"
PRI option
NLOPTIONS statement (CALIS)
PROC CALIS statement
PRIMAT option
PROC CALIS statement
principal component analysis
compared with common factor analysis
PRINQUAL procedure
with FACTOR procedure
principal components
definition
interpreting eigenvalues
partialling out variables
properties of
rotating
using weights
principal components regression
PLS procedure
principal factor analysis
with FACTOR procedure
PRINCOMP procedure
and SCORE procedure
CALIS procedure
computational resources
correction for means
Crime Rates Data, example
displayed output
examples "Example 47.2: Basketball Data"
examples "Examples"
examples "Getting Started"
input data set
missing values
output data sets "Output Data Sets"
output data sets "PROC PRINCOMP Statement"
output table names
output, displayed
plotit macro "Example 47.1: Crime Rates"
plotit macro "Getting Started"
replace missing values, example
suppressing output
syntax
weights
PRINCOMP procedure, BY statement
PRINCOMP procedure, FREQ statement
PRINCOMP procedure, PARTIAL statement
PRINCOMP procedure, PROC PRINCOMP statement
COV option
COVARIANCE option
DATA= option
N= option
NOINT option
NOPRINT option
OUT= option
OUTSTAT= option
PREFIX= option
SING= option
SINGULAR= option
STANDARD option
STD option
VARDEF= option
PRINCOMP procedure, VAR statement
PRINCOMP procedure, WEIGHT statement
PRINQUAL procedure
biplot
casewise deletion
constant transformations, avoiding
constant variables
displayed output
displayed output, suppressing
excluded observations
excluding nonscore observations
frequency variable
identity transformation
iterations
iterations, restarting "PROC PRINQUAL Statement"
iterations, restarting "REITERATE Option Usage"
knots
linear transformation
MAC method "The Three Methods of Variable Transformation"
MAC method "Using the MAC Method"
maximum average correlation method "The Three Methods of Variable Transformation"
maximum average correlation method "Using the MAC Method"
maximum total variance method
MDPREF analysis
MGV method
minimum generalized variance method
missing character values
missing values "Missing Values"
missing values "Passive Observations"
missing values "PROC PRINQUAL Statement"
monotonic B-spline transformation
monotonic transformation, ties not preserved
monotonic transformation, ties preserved
MTV method
multidimensional preference analysis
nonoptimal transformations
optimal scoring
optimal transformations
output data set
output table names
output, displayed
passive observations
plotit macro
principal component analysis
random initializations
reflecting the transformation
renaming variables
reusing variables
smoothing spline transformation
spline t-options
spline transformation
standardization
syntax
transformation options
variable names
weight variable
PRINQUAL procedure, BY statement
PRINQUAL procedure, FREQ statement
PRINQUAL procedure, ID statement
PRINQUAL procedure, PROC PRINQUAL statement
APPROXIMATIONS option
APREFIX= option
CCONVERGE= option
CHANGE= option
CONVERGE= option
CORRELATIONS option
COVARIANCE option
DATA= option
DUMMY option
INITITER= option
MAXITER= option
MDPREF option
METHOD= option
MONOTONE= option
N= option
NOCHECK option
NOMISS option
NOPRINT option
OUT= option
PREFIX= option
REFRESH= option
REITERATE option
REPLACE option
SCORES option
SINGULAR= option
STANDARD option
TPREFIX= option
TSTANDARD= option
TYPE= option
UNTIE= option
PRINQUAL procedure, TRANSFORM statement
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
REFLECT option
SM= option
SPLINE transformation
SSPLINE transformation
TSTANDARD= option
UNTIE transformation
PRINQUAL procedure, WEIGHT statement
PRINT option
MTEST statement (REG)
NLOPTIONS statement (CALIS)
PROC CALIS statement
PROC FACTOR statement
PROC NLIN statement
TEST statement (LOGISTIC)
TEST statement (PHREG)
TEST statement (REG)
PROC CLUSTER statement
PROC CORRESP statement
PRINT statement, REG procedure
PRINTE option
MANOVA statement (ANOVA)
MANOVA statement (GLM)
REPEATED statement (ANOVA)
REPEATED statement (GLM) "Repeated Measures Analysis of Variance"
REPEATED statement (GLM) "REPEATED Statement"
PRINTH option
MANOVA statement (ANOVA)
MANOVA statement (GLM)
REPEATED statement (ANOVA)
REPEATED statement (GLM)
PRINTKWT option
TABLES statement (FREQ)
PRINTM option
REPEATED statement (ANOVA)
REPEATED statement (GLM)
PRINTRV option
REPEATED statement (ANOVA)
REPEATED statement (GLM)
prior density
MIXED procedure
LOGISTIC procedure "Classification Table"
LOGISTIC procedure "Example 35.4: Stratified Sampling"
prior event probability
LOGISTIC procedure
PRIORS= option
PROC FACTOR statement
PRIORS statement, DISCRIM procedure
PRIVEC option
PROC CALIS statement
PROB option
MODEL statement (CATMOD)
probability density function
probability distribution
built-in (GENMOD) "MODEL Statement"
built-in (GENMOD) "The GENMOD Procedure"
exponential family (GENMOD)
user-defined (GENMOD)
probit equation "Model Specification"
probit equation "Overview"
PROBIT procedure
Abbot's formula
analyzing binary response data "Model Specification"
analyzing binary response data "Overview"
analyzing multilevel response data "Model Specification"
analyzing multilevel response data "Overview"
_C_ variable
deviance statistic
_DIST_ variable
extreme value distribution
goodness of fit tests "Lack of Fit Tests"
goodness of fit tests "PROC PROBIT Statement"
inverse confidence limits
_LNLIKE_ variable
log-likelihood function
logistic distribution
maximum-likelihood estimates
missing values
models
_MODEL_ variable
_NAME_ variable
natural response rate
Newton-Raphson algorithm
normal distribution
output table names
Pearson chi-square statistic
syntax
threshold response rate
tolerance distribution
_TYPE_ variable
PROBIT procedure, BY statement
PROBIT procedure, CLASS statement
PROBIT procedure, MODEL statement
CONVERGE option
CORRB option
COVB option
DISTRIBUTION= option
HPROB= option
INITIAL option
INTERCEPT= option
INVERSECL option
ITPRINT option
LACKFIT option
MAXITER= option
NOINT option
SINGULAR= option
PROBIT procedure, OUTPUT statement
PROBIT procedure, PROC PROBIT statement
COVOUT option
DATA= option
HPROB= option
INVERSECL option
LACKFIT option
LOG option
LOG10 option
NOPRINT option
OPTC option
ORDER=option
OUTEST= option
PROBIT procedure, WEIGHT statement
PROBT option
PROC CANCORR statement
PROC CALIS statement
ALL option
ALPHAECV= option
ALPHARMS= option
ASC= option
ASING= option
ASINGULAR= option
ASYCOV= option
AUG option
AUGMENT option
BIASKUR option
CORR option
COV option
COVARIANCE option
COVSING= option
DATA= option
DE= option
DEMPHAS= option
DFE= option
DFR= option
DFRED= option
DFREDUCE= option
EDF= option
ESTDATA= option
FCONV= option
FDCODE option
FTOL= option
G4= option
GCONV= option
GTOL= option
HA= option
HESSALG= option
INEST= option
INRAM= option
INSTEP= option
INVAR= option
INWGT= option
KU option
KURTOSIS option
LINESEARCH= option
LSP= option
LSPRECISION= option
MAXFU= option
MAXFUNC= option
MAXIT= option
MAXITER= option
MET= option
METHOD= option
MOD option
MODIFICATION option
MSING= option
MSINGULAR= option
NOBS= option
NODI option
NODIAG option
NOINT option
NOMOD option
NOP option
NOPRINT option
NOSE option
NOSTDERR option
OM= option
OMETHOD= option
OUTEST= option
OUTJAC option
OUTRAM= option
OUTSTAT= option
OUTVAR= option
OUTWGT= option
PALL option
PCE option
PCORR option
PCOVES option
PDE option
PDETERM option
PES option
PESTIM option
PIN option
PINITIAL option
PJACPAT option
PJP option
PLATCOV option
PLC option
PMAT option
PRE option
PREDET option
PRI option
PRIMAT option
PRINT option
PRIVEC option
PSH option
PSHORT option
PSUM option
PSUMMARY option
PVEC option
PW option
PWEIGHT option
RADIUS= option
RANDOM= option
RDF= option
RES= option
RESIDUAL= option
RIDGE= option
S option
SALPHA= option
SE option
SHORT option
SIMPLE option
SING= option
SINGULAR= option
SLMW= option
SM= option
SMETHOD= option
SP= option
SPRECISION= option
START= option
STDERR option
SUMMARY option
TE option
TECH= option
TECHNIQUE= option
TOTEFF option
UCORR option
UCOV option
UPD= option
UPDATE= option
VARDEF= option
VSING= option
VSINGULAR= option
WPEN= option
WPENALTY= option
WRIDGE= option
PROC CORRESP statement
PROC FACTOR statement
PROC GENMOD statement
DATA= option
ORDER= option
RORDER= option
PROC INBREED statement
A option
AVERAGE option
C option
COVAR option
DATA= option
I option
IND option
INDL option
INIT= option
M option
MATRIX option
MATRIXL option
NOPRINT option
OUTCOV= option
PROC KRIGE2D statement
DATA= option
OUTEST= option
OUTNBHD= option
SINGULARMSG= option
PROC LIFETEST statement
PROC PLS statement
See PLS procedure
PROC PROBIT statement
OUTEST= option
PROC SIM2D statement
DATA= option
NARROW option
OUTSIM= option
PROC TRANSREG statement
DATA= option
OUTTEST= option
PROC TTEST
See TTEST procedure
PROC TTEST statement
COCHRAN option
DATA= option
PROC VARIOGRAM statement
DATA= option
OUTDISTANCE= option
OUTPAIR= option
OUTVAR= option
procrustes rotation
product-limit estimates "Computational Formulas"
product-limit estimates "Overview"
PROFILE keyword
REPEATED statement (ANOVA)
profile likelihood confidence intervals
GENMOD procedure
PROFILE option
REPEATED statement (GLM) "Repeated Measures Analysis of Variance"
REPEATED statement (GLM) "REPEATED Statement"
FACTORS statement (CATMOD)
PROC CORRESP statement
REPEATED statement (CATMOD)
profiling residual variance
MIXED procedure
INBREED procedure "Computational Details"
INBREED procedure "DATA= Data Set"
INBREED procedure "Example 30.2: Pedigree Analysis"
progeny
INBREED procedure
programming statements
constraints (CALIS) "Constrained Estimation Using Program Code"
constraints (CALIS) "Getting Started"
constraints (CALIS) "SAS Program Statements"
differentiation (CALIS)
GENMOD procedure
PHREG procedure "Example 44.4: Model Using Time-Dependent Explanatory Variables"
PHREG procedure "Getting Started"
PHREG procedure "PROC PHREG Statement"
PHREG procedure "Programming Statements"
PHREG procedure "Syntax"
promax method "Overview"
promax method "PROC FACTOR Statement"
PROPORTION= option
PROC ACECLUS statement
PROC FACTOR statement
VARCLUS statement
proportional hazards model
assessing (PHREG)
assumption (PHREG)
LIFETEST procedure
PHREG procedure "MODEL Statement"
PHREG procedure "Overview"
proportional hazards model distribution
prospective study
proximity data
MDS procedure "Overview"
MDS procedure "PROC MDS Statement"
PSCALE
MODEL statement (GENMOD)
PSEARCH option
PRIOR statement (MIXED)
pseudo F and t statistics
CLUSTER procedure
PSEUDO= option
PROC CLUSTER statement
PSH option
PROC CALIS statement
PSHORT option
PROC CALIS statement
PSPLINE transformation
MODEL statement (TRANSREG)
PSSCP option
PROC CANDISC statement
PROC DISCRIM statement
PROC STEPDISC statement
PSTAT option
STDIZE procedure, PROC STDIZE statement
PSUM option
PROC CALIS statement
PSUMMARY option
PROC CALIS statement
PTRANS option
PRIOR statement (MIXED)
PROC MDS statement
PVAL= option
PROC PLS statement
PVALS option
PROC MULTTEST statement
PVEC option
PROC CALIS statement
PW option
PROC CALIS statement
PWEIGHT option
PROC CALIS statement

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