Hello!

We have been using this package's RESS implementation in our recent work with SSVEPs and it has been a great help, thank you for that!

I wanted to ask a question regarding the 'maps' object being output from RESS (refered to as 'mixing matrix' in the docstring) and what they have diferent from the pure eigenvectors coming out from the linear eigendecomposition. We would be interested to know whether it is feasible to compute RESS on a set of observations and the use the maps (or eigenvectors) to transform a new observation into the same space of those outputed by the function. For example:

• An array of shape (4000, 32, 40) is inputed to the RESS function keeping just the first component, thus obtaining an output of shape (4000, 1, 40)

• I have a new example of shape (4000, 32) that I want to convert to the RESS component space (4000, 1) using the same components computed from the first transformation. How should I do this?

Thank you very much.