The Principal Component Analysis Biplot Predictions versus the Ordinary Least Squares Regression Predictions: The Anthropometric Case Study
Chisimkwuo John, Chukwuemeka O. Omekara & Godwin Okwara · Asian Journal of Probability and Statistics · 2019
An indicative feature of a principal component analysis (PCA) variant to the multivariate data set is the ability to transform correlated linearly dependent variables to linearly independent principal components. Back-transforming these components with the samples and variables a...
Open access
Research Article
10.9734/ajpas/2019/v3i430098