JMP Pro > Dimension Reduction > PCA > Retrieve Most Meaningful Components?
Hi, I am working on a relatively large dataset that includes ~1,500 variables (i.e., biomarkers). Since subsets of these variables tend to correlate with each other, I wish to reduce the dimensions of the dataset. I am currently exploring PCA to achieve this goal. Still, I am unsure how to link back specific principal components with the original data (i.e., which biomarkers/variables contribute t...