Keywords
Computer science
Affiliated Institutions
Related Publications
Correspondence Analysis in Practice
Preface Scatterplots and Maps Profiles and the Profile Space Masses and Centroids Chi-Square Distance and Inertia Plotting Chi-Square Distances Reduction of Dimensionality Optim...
Principal component analysis
Abstract Principal component analysis (PCA) is a multivariate technique that analyzes a data table in which observations are described by several inter‐correlated quantitative d...
Cross-Validatory Choice of the Number of Components From a Principal Component Analysis
A method is described for choosing the number of components to retain in a principal component analysis when the aim is dimensionality reduction. The correspondence between prin...
Partial least squares regression and projection on latent structure regression (PLS Regression)
Abstract Partial least squares (PLS) regression ( a.k.a. projection on latent structures) is a recent technique that combines features from and generalizes principal component a...
PLS, Small Sample Size, and Statistical Power in MIS Research
There is a pervasive belief in the Management Information Systems (MIS) field that Partial Least Squares (PLS) has special abilities that make it more appropriate than other tec...
Publication Info
- Year
- 2007
- Type
- reference-entry
- Citations
- 202
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
202
OpenAlex
Cite This
Brigitte Le Roux,
Henry Rouanet
(2007).
Multiple Correspondence Analysis.
Encyclopedia of Measurement and Statistics
.
https://doi.org/10.4135/9781412952644.n299
Identifiers
- DOI
- 10.4135/9781412952644.n299