ABSTRACT: This study aimed to use multivariate techniques of principal component analysis and canonical discriminant analysis in a data set from Morada Nova sheep carcass to reduce the dimensions of t
Source data are provided with this paper. All OrbiSIMS data reported in this manuscript have been deposited as imzML or MATLAB .mat files to figshare (https://doi.org/10.6084/m9.figshare.28684622). im
R2X (t1P): How much of the variation in X is directly related to Y; predictive variation in X. R2X: How much of the variation in X is explained by the model. R2Y: How much of the variation in Y is exp
1. Ordination and clustering methods are widely applied to ecological data that are nonnegative, for example species abundances or biomasses. These methods rely on a measure of multivariate proximity