Pros and cons of using partial least square regression


New Member
Hello guys,

I have a computational model of a single cardiac cell. With it I have generated a data matrix consisting of columns of inputs (e.g. ion conductance, gating variables, etc) and the resulting outputs (e.g. action potential duration, calcium transient amplitude, etc). I would like to determine input-output correlation and multiple-factor interactions between the IV’s and DV’s. I’ve been using partial least square regression to do this, and I would like to know the advantages / disadvantages of using this method. I also would like to know if there are other features of the method that can allow me to extract more information from the model I’m working with.

Thanks in advance!!