Abstract
Principal Component Regression (PCR) is one method to handle multicollinear problems. PCR produces principal components that have a VIF less than ten. The purpose for this research is to obtained PCR model using R software. The result is a model of PCR with two principal components and determination coefficients R(square) = 97,27%.
Cite
CITATION STYLE
APA
Ohyver, M. (2012). Pemodelan Principal Component Regression dengan Software R. ComTech: Computer, Mathematics and Engineering Applications, 3(1), 177. https://doi.org/10.21512/comtech.v3i1.2400
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