Chemometric analysis
Processed spectroscopic data were imported into the SIMCA 17.0 software package (Umetrics AB) to conduct unsupervised and supervised multivariate statistical analysis. Principal component analysis (PCA) was used initially to evaluate similarities/differences in urinary metabolite composition between groups. Principal components were computed to achieve a model that explained most of the variance in the dataset while also having good predictive ability based on the 