Principal components analysis /

Principal components analysis offers researchers a 'feel' for analysing particular sets of multidimensional data. It is particularly useful in coping with multicolinearity in regression analysis, a persistent problem in behavioral and social science data sets.

Bibliographic Details
Main Author: Dunteman, George H. (George Henry), 1935-
Format: eBook
Language:English
Published: Newbury Park, [Calif.] ; London : SAGE, [1989]
Series:Quantitative applications in the social sciences ; 69.
Subjects:
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Call Number: QA278.5
 
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