As my field of study is not related to “omics”, I would be more than happy should you comment on the appropriateness of mixOmics package to solve my case below:
My data set is 11 GLCM atributes generated from 10 SEM images of food samples using imageJ software, they serve as input variable, dim(X) =  10 11. For the output Y is the antioxidant activity of the food samples (classified as Low and High). I would like to run PLS-DA to examine whether the samples could be classified by the GLCM attributes. By following your well explained mixOmics vignette I could produce pca, plsda, perf plots. However I am not convident to say something about them.
Kindly advise me whether the mixOmics may be used for the such small samples (the best I could afford unfortunaley) in my experiment setting.