Overcoming the problem of multicollinearity in sports performance data: A novel application of partial least squares correlation analysis.
Weaving D, Jones B, Ireton M, Whitehead S, Till K, Beggs CB.
Weaving D, et al.
PLoS One. 2019 Feb 14;14(2):e0211776. doi: 10.1371/journal.pone.0211776. eCollection 2019.
PLoS One. 2019.
PMID: 30763328
Free PMC article.
Clinical Trial.
In this paper we present a novel 'leave one variable out' (LOVO) partial least squares correlation analysis (PLSCA) methodology, designed to overcome the problem of multicollinearity, and show how this can be used to identify the training load (TL) variables that influence most ' …
In this paper we present a novel 'leave one variable out' (LOVO) partial least squares correlation analysis (PLSCA) methodology, designed to …