PCA 2D Row Scores

The PCA 2D Row Scores tab is shown below:

The PCA 2D Column Scores tab contains the following elements:

•	A multivariate analysis of the components, including a correlation matrix and a 2D scatterplot matrix.

•	A parallel coordinate plot of the components

•	A plot of the Mahalanobis distances of each component

Study these elements to decipher patterns in the principal components . For example, look for clusters of points in the scatterplot matrix and parallel plot . Recall each component is a one-dimensional projection that maximizes variability unaccounted for by previous components. Note also the percent variation explained by each component.

Note : You can optionally use the JMP Rows menu to open a Data Filter or color the points by any variable of interest.