Evaluating a Design Matrix for aliasing(confounding) in R and JMP have different answers
I have a design matrix , columns are factors with 2 levels, rows are experiments, see pics. I want to evaluate the design for aliasing (also called confounding). I obviously want a design that is free of confounding. I thought as part of doing this i would take XT * X of my design to get the dot products across each column. If there is no confounding id expect 0 in every off diagonal term. When y...