Analysis of data that has been transformed from the original axes to principal axes, often abbreviated PCA. The first principal axis is the direction in which the data are primarily distributed or the "long" axis of the distribution in n-dimensional space. Data are sometimes rearranged to be in principal component space before further analysis (such as cluster analysis) is performed.