Please use this identifier to cite or link to this item:
Benko, Michal
Lejeune, Michel
Year of Publication: 
Series/Report no.: 
SFB 373 Discussion Paper 2000,64
Correspondence analysis (CA) is a descriptive method which allows us to analyze and to XploRe the structure of contingency tables (or, by extension, non-negative tables where rows and columns are the entities of interest). It is similar to principal cornponent analysis (PCA) in the sense that, it attempts to obtain a representation of either the I row items or the J column items in a low dimensional space, while preserving at best total variation in the table.
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

Files in This Item:
168.39 kB

Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.