Principal Component Analysis

Principal components analysis (PCA) creates a new set of orthogonal variables that contain the same information as the original set. It rotates the axes of variation to give a new set of orthogonal axes, ordered so that they summarize decreasing proportions of the variation.

References

Wikipedia. (n.d.). Multivariate statistics. Link