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LDA is a discriminant analysis. For two classes and a given data (somedata) it returns the probability that the given data depends to class 1 or 2.
I think you are looking for the PCA (principal component analysis). It will give you the projection on the principal component of the parameter space (and all the 100 dimensions, among which the first one is the most important, and the last is the least important).
The code to use the PCA class is the same, only you'll have one class of data.
