Here we will demonstrate Principal Components Analysis, or PCA, which can be a useful way to get some idea of which viariables are contributing the most variability to a data set. Note that the biplot may be a bit small to easily see in the "plot" pane. If you are following along in R ckick the "zoom" button aobve the plot pane to see a larger version.