Strengthen your programming skills with tips and techniques from the experts
Learn about best-selling SAS author Ron Cody's programming standards.
Principal component analysis (PCA) is an important tool for understanding relationships in continuous multivariate data. When the first two principal components (PCs) explain a significant portion of the variance in the data, you can visualize the data by projecting the observations onto the span of the first two PCs. In
Grace Whiteis of SAS Technical Support shows you how to capitalize on arrays using SAS software -- and streamline your code, whether it involves arrays or not.
