A comparison of principal component regression and genomic REML for genomic prediction across populations
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Background: Genomic prediction faces two main statistical problems: multicollinearity and n ≪ p (many fewer observations than predictor variables). Principal component (PC) analysis is a multivariate statistical method that is o... ...
