Sounds very cool. Howvever, when you transform the data using PCA the interpretation of the signals are different right? How do you approach that problem?
I see this is another way to look at it. I was asking about how to interpret the components themselves. Your link suggests converting the the coefficients of PCA regression back to coefficients for the original variables.
