Data Analysis: Have 70 data parameters, how many different classes of 3 are possible? The order of the classes of three does not matter. Example: 1,2,3 and 3,2,1 would be considered one class. I am trying to do fisher discriminant analysis on a set of data and want to begin reducing the parameters to better help with classification. As of now I cannot tell which parameters are the most pertinent, so looping every combination through and then having MATLAB take out the LDA analysis with the MisIDs on the lower end in my algorithm will help to isolate the parameters. Can someone refresh me on the math behind this/suggest a way to code this in MATLAB?
That probably isn't the most effective way to figure out which parameters (features) are most informative.  Instead, I suggest looking at methods for feature selection or feature ranking.  There are many methods out there; it's a well-studied topic.