The Multi-Block PLS Discriminant Analysis method | R environment preparation | Data preprocessing | Data visualization by PCA on separate data blocks | MB-PLS-DA model | determination by cross-validation of the optimal number of latent variables of the model | model validation by permutation test | model analysis, based on the scatter plot, the loading plot, the Variable Importance in Projection | predicted values | Reproducibility

The Sequential and Orthogonalised PLS Discriminant Analysis method | R environment preparation | Data preprocessing | Data visualization by PCA on separate data blocks | SO-PLS-DA model | determination by cross-validation of the optimal number of latent variables of the model | model validation by permutation test | model analysis, based on the scatter plot, the loading plot, the Variable Importance in Projection | predicted values | Reproducibility