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Row and column matrices in multiple correspondence analysis with ordered categorical and dichotomous variables

In multiple correspondence analysis, whenever the number of variables exceeds the number of observations, row matrix should be used, but if the number of variables is less than the number of observations column matrix is the suitable procedure to follow. One of the following matrices (rows, columns)...

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Bibliographic Details
Main Authors: Thanoon, Thanoon Y., Adnan, Robiah
Format: Article
Language:English
Published: Penerbit UTM Press 2016
Subjects:
QA Mathematics
Online Access:http://eprints.utm.my/id/eprint/73885/1/RobiahAdnan2016_RowAndColumnMatricesInMultiple.pdf
http://eprints.utm.my/id/eprint/73885/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957878975&doi=10.11113%2fjt.v78.4077&partnerID=40&md5=641b024c1e2f20a966b48e81475fc967
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http://eprints.utm.my/id/eprint/73885/1/RobiahAdnan2016_RowAndColumnMatricesInMultiple.pdf
http://eprints.utm.my/id/eprint/73885/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957878975&doi=10.11113%2fjt.v78.4077&partnerID=40&md5=641b024c1e2f20a966b48e81475fc967

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