2.7. Data Analysis and Statistics
Multivariate and univariate statistical analyses were applied in order to evaluate the metabolic differences related to physical activity and RBJ intake.Principal component analysis (PCA) was applied for exploratory purposes to identify clusters and outliers. The data matrix was previously auto-scaled and centered before further processing. For the classification stage, models were built using the partial least square-discriminant analysis (PLS-DA) algorithm. The full-cross validation method was applied, and the area under receiver operating characteristic (AUROC), RThe multivariate analysis was carried out by using Unscrambler 10.5 software (CAMO, Oslo, Norway). AUROC was calculated with an in-house written script employing MATLAB R2020b.Univariate evaluation of the variables identified as significant based on PLS-DA analysis was applied by using the paired Student’s 