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1
Preface
2
Introduction
2.1
Some Dualisms
2.2
Quantifying Qualitative Data
2.3
Beyond Gifi
3
Coding and Transformations
3.1
Variables and Multivariables
3.2
Induced Correlations and Aspects
3.3
Transformed Variables
3.4
Bases
3.5
Copies and Rank
3.6
Orthoblocks
3.7
Constraints
3.8
Missing Data
3.9
Active and Passive Variables
3.10
Interactive Coding
4
Aspects
4.1
Definition
4.2
Stationary Equations
4.3
Bilinearizability
5
Pattern Constraints and Gifi Loss
5.1
Aspects from Patterns
5.2
Gifi Loss
5.3
Associated Eigenvalue Problems
5.4
History
6
Algorithm
6.1
Block Relaxation
6.2
Majorization
6.3
Alternating Least Squares
6.4
Implementation Details
6.5
Wrappers
6.6
Structures
7
Multiple Correspondence Analysis and homals()
7.1
Introduction
7.2
Equations
7.3
Examples
7.3.1
Hartigan’s Hardware
7.3.2
GALO
7.3.3
Thirteen Personality Scales
8
Correspondence Analysis and corals()
8.1
Introduction
8.2
Equations
8.3
Examples
8.3.1
Glass
8.3.2
Galton
9
Canonical Correspondence Analysis and coranals()
9.1
Introduction
9.2
Equations
9.3
Examples
10
Nonlinear Principal Component Analysis and princals()
10.1
Introduction
10.2
Equations
10.3
Examples
10.3.1
Thirteen Personality Scales
11
Optimal Scaling and primals()
12
Canonical Analysis and canals()
12.1
Equations
12.2
Examples
13
Multiple Regression and morals()
13.1
Equations
13.2
Examples
13.2.1
Polynomial Regression
13.2.2
Gases with Convertible Components
14
Conjoint Analysis and addals()
15
Discriminant Analysis and criminals()
15.1
Equations
15.2
Examples
15.2.1
Iris data
16
Multiblock Canonical Correlation and overals()
16.1
Equations
16.2
Examples
16.2.1
Thirteen Personality Scales
17
Code
17.1
R Code
17.1.1
Driver
17.1.2
Engine
17.1.3
Aspect Engine
17.1.4
Some Aspects
17.1.5
Structures
17.1.6
Wrappers
17.1.7
Splines
17.1.8
Gram-Schmidt
17.1.9
Cone regression
17.1.10
Coding
17.1.11
Utilities
17.2
C Code
17.2.1
Splines
17.2.2
Gram-Schmidt
17.2.3
Coding
18
NEWS
19
TO DO
20
Acronyms
21
Key Names and Symbols
22
References
Facebook
Google+
Twitter
Weibo
Instapaper
A
A
Serif
Sans
White
Sepia
Night
Multivariate Analysis with Optimal Scaling
9
Canonical Correspondence Analysis and coranals()
9.1
Introduction
9.2
Equations
Canonical analysis of
G
X
and
H
.
9.3
Examples