OVERALS: Nonlinear canonical correlation with k sets of variables

Eeke van der Burg; Jan de Leeuw; Garmt Dijksterhuis

doi:10.1016/0167-9473(94)90136-8

OVERALS: Nonlinear canonical correlation with k sets of variables

Eeke van der Burg^*, Jan de Leeuw, Garmt Dijksterhuis

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

34 Citations (Scopus)

Abstract

OVERALS is a technique for canonical correlation analysis with two or more sets of variables. Any three way table can be used as input for the OVERALS program. In OVERALS terminology the ways are called objects, variables and sets. Three measurement levels of the data can be handled: numerical, ordinal and nominal. They can be defined for each variable separately. Also the conditionality of the data is defined variable-wise. The OVERALS technique searches for what is common between sets of variables measured on the same objects. The mathematical model and the algorithm are discussed. In addition an illustration of the technique is given in the form of an application.

Original language	English
Pages (from-to)	141-163
Number of pages	23
Journal	Computational Statistics and Data Analysis
Volume	18
Issue number	1
DOIs	https://doi.org/10.1016/0167-9473(94)90136-8
Publication status	Published - Aug 1994
Externally published	Yes

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