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<< JRScience Home   Volume 13 No.1 June 2002  << Back to Volume Home

 

THE USE OF CANONICAL PRINCIPLE AND FACTORS ANALYSIS

 

G. R. Pasha

Chairman, Department of Statistics, Dean, Faculty of Science and Agriculture, Bahauddin Zakariya University, Multan, Pakistan.

 ___Abstract:

In this research the question of dimension reducing procedures are of interest, comprises canonical correlation, which investigates the correlation between linear combinations of variables, and principal component analysis that reduces the set of measurement characteristics to fewer components. Factor analysis performs the same reduction but assuming that the observations have an underlying structure. The auxiliary of principal component is taken for a more parsimonious data representation. The deficiencies of principal component analysis are overcome. Rotation of factors application is discussed.

 

Keywords: Canonical principle, correlation factors, dimensions reducing procedure, deficiencies, linear combinations.