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81. 

SAS/STAT 9.2 User's Guide, Chapter 47: The LATTICE Procedure

SAS/STAT 9.2 User's Guide, Chapter 47: The LATTICE Procedure

By:  SAS Institute

Publisher: SAS Institute

Publication Date: 11-MAR-2008

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The LATTICE procedure computes the analysis of variance and analysis of simple covariance for data from an experiment with a lattice design. PROC LATTICE analyzes balanced square lattices, partially balanced square lattices, and some rectangular lattices. ...

82. 

SAS/STAT 9.2 User's Guide, Chapter 46: The KRIGE2D Procedure

SAS/STAT 9.2 User's Guide, Chapter 46: The KRIGE2D Procedure

By:  SAS Institute

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The KRIGE2D procedure performs ordinary kriging in two dimensions. ...

83. 

SAS/STAT 9.2 User's Guide, Chapter 45: The KDE Procedure

SAS/STAT 9.2 User's Guide, Chapter 45: The KDE Procedure

By:  SAS Institute

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The KDE procedure performs univariate and bivariate kernel density estimation. ...

84. 

SAS/STAT 9.2 User's Guide, Chapter 44: The INBREED Procedure

SAS/STAT 9.2 User's Guide, Chapter 44: The INBREED Procedure

By:  SAS Institute

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The INBREED procedure calculates the covariance or inbreeding coefficients for a pedigree. ...

85. 

SAS/STAT 9.2 User's Guide, Chapter 43: The HPMIXED Procedure (Experimental)

SAS/STAT 9.2 User's Guide, Chapter 43: The HPMIXED Procedure (Experimental)

By:  SAS Institute

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The HPMIXED procedure uses a number of specialized high-performance techniques to fit linear mixed models with variance component structure. ...

86. 

SAS/STAT 9.2 User's Guide, Chapter 42: The GLMSELECT Procedure

SAS/STAT 9.2 User's Guide, Chapter 42: The GLMSELECT Procedure

By:  SAS Institute

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The GLMSELECT procedure performs effect selection in the framework of general linear models. ...

87. 

SAS/STAT 9.2 User's Guide, Chapter 41: The GLMPOWER Procedure

SAS/STAT 9.2 User's Guide, Chapter 41: The GLMPOWER Procedure

By:  SAS Institute

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The GLMPOWER procedure performs prospective power and sample size analysis for linear models. ...

88. 

SAS/STAT 9.2 User's Guide, Chapter 40: The GLMMOD Procedure

SAS/STAT 9.2 User's Guide, Chapter 40: The GLMMOD Procedure

By:  SAS Institute

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The GLMMOD procedure constructs the design matrix for a general linear model; it can be used with other SAS/STAT software regression procedures to obtain specialized analyses. ...

89. 

SAS/STAT 9.2 User's Guide, Chapter 39: The GLM Procedure

SAS/STAT 9.2 User's Guide, Chapter 39: The GLM Procedure

By:  SAS Institute

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The GLM procedure uses the method of least squares to fit general linear models. Among the statistical methods available in PROC GLM are regression, analysis of variance, analysis of covariance, multivariate analysis of variance, and partial correlation. ...

90. 

SAS/STAT 9.2 User's Guide, Chapter 37: The GENMOD Procedure

SAS/STAT 9.2 User's Guide, Chapter 37: The GENMOD Procedure

By:  SAS Institute

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The GENMOD procedure fits generalized linear models. ...

91. 

SAS/STAT 9.2 User's Guide, Chapter 36: The GAM Procedure

SAS/STAT 9.2 User's Guide, Chapter 36: The GAM Procedure

By:  SAS Institute

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The GAM procedure fits generalized additive models. ...

92. 

SAS/STAT 9.2 User's Guide, Chapter 35: The FREQ Procedure

SAS/STAT 9.2 User's Guide, Chapter 35: The FREQ Procedure

By:  SAS Institute

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The FREQ procedure produces one-way to n-way frequency and contingency (crosstabulation) tables. For two-way tables, PROC FREQ computes tests and measures of association. For n-way tables, PROC FREQ provides stratified analysis by computing statistics across, as well as within, strata. ...

93. 

SAS/STAT 9.2 User's Guide, Chapter 34: The FASTCLUS Procedure

SAS/STAT 9.2 User's Guide, Chapter 34: The FASTCLUS Procedure

By:  SAS Institute

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The FASTCLUS procedure divides the observations in a large SAS data set into disjoint clusters using any of several algorithms based on Euclidean distance. ...

94. 

SAS/STAT 9.2 User's Guide, Chapter 33: The FACTOR Procedure

SAS/STAT 9.2 User's Guide, Chapter 33: The FACTOR Procedure

By:  SAS Institute

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The FACTOR procedure performs a variety of common factor and component analyses and rotations. Input can be multivariate data, a correlation matrix, a covariance matrix, a factor pattern, or a matrix of scoring coefficients. ...

95. 

SAS/STAT 9.2 User's Guide, Chapter 32: The DISTANCE Procedure

SAS/STAT 9.2 User's Guide, Chapter 32: The DISTANCE Procedure

By:  SAS Institute

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The DISTANCE procedure computes various measures of distance, dissimilarity, or similarity between the observations (rows) of a SAS data set. ...

96. 

SAS/STAT 9.2 User's Guide, Chapter 31: The DISCRIM Procedure

SAS/STAT 9.2 User's Guide, Chapter 31: The DISCRIM Procedure

By:  SAS Institute

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The DISCRIM procedure performs discriminant analysis. ...

97. 

SAS/STAT 9.2 User's Guide, Chapter 30: The CORRESP Procedure

SAS/STAT 9.2 User's Guide, Chapter 30: The CORRESP Procedure

By:  SAS Institute

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The CORRESP procedure performs simple correspondence analysis and multiple correspondence analysis (MCA). ...

98. 

SAS/STAT 9.2 User's Guide, Chapter 29: The CLUSTER Procedure

SAS/STAT 9.2 User's Guide, Chapter 29: The CLUSTER Procedure

By:  SAS Institute

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The CLUSTER procedure hierarchically clusters the observations in a SAS data set. The data can be coordinates or distances. ...

99. 

SAS/STAT 9.2 User's Guide, Chapter 28: The CATMOD Procedure

SAS/STAT 9.2 User's Guide, Chapter 28: The CATMOD Procedure

By:  SAS Institute

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The CATMOD procedure performs statistical modeling of data that can be represented by a contingency table. PROC CATMOD fits linear models to functions of response frequencies, and it can be used for linear modeling, log-linear modeling, logistic regression, and repeated measurement analysis. ...

100. 

SAS/STAT 9.2 User's Guide, Chapter 27: The CANDISC Procedure

SAS/STAT 9.2 User's Guide, Chapter 27: The CANDISC Procedure

By:  SAS Institute

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The CANDISC procedure performs a canonical discriminant analysis, computes squared Mahalanobis distances between class means, and performs both univariate and multivariate one-way analyses of variance. ...