Abstract
The Case for Adopting a Multivariate Approach to Optimize Training Load Quantification in Team Sports.
Highlights
Specialty section: This article was submitted to Exercise Physiology, a section of the journal Frontiers in Physiology
Recent investigations have shown that a single training load (TL) variable is unable to capture a meaningful proportion of the variance provided by multiple internal and external TL variables, which is exacerbated by the mode of training (Weaving et al, 2014, 2017)
Through the use of dimension reduction techniques such as principal component analysis (PCA) (Weaving et al, 2014, 2017) and single value decomposition (SVD) (Till et al, 2016), which are immune to multicollinearity issues, it is possible to capture the complexity of a system in just a few orthogonal composite variables
Summary
Specialty section: This article was submitted to Exercise Physiology, a section of the journal Frontiers in Physiology. Beggs C (2017) The Case for Adopting a Multivariate Approach to Optimize Training Load Quantification in Team Sports.
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