The Role of principal components in the statistical data analysis
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Abstract (EN)
In this study we tried examining the principal Components (PC) faced in the statistical data analysis under the names of Principal Components Analysis (PCA) and Principal Components Regression (PCR). PCA has been defined as a transformation of a random vector X in to a new random vector whose components are uncorrelated and, ordered according to their size of variances. And PCR has been examined in the sense of multicollinearity.
Author
Reşat Kasap
How to Cite
Reşat Kasap (Master Thesis). The Role of principal components in the statistical data analysis, 1987, Gazi University.
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