JMP > Dimension Reduction > Collapse Highly Correlated Variables (Total N = 7300)?
Hi JMP Community, I have an extensive biomarker data set (7,300 variables) that contains multiple subsets of highly correlated variables (r > 0.95) that I want to collapse into representative variables (i.e., one aggregated variable for each group of highly correlated variables). While I can easily identify the highly correlated pairs of variables, I am struggling with identifying all the members ...