fixed locations bit, think regression is now fine methodically (butpractically won't work - too little data). reverting to old method but +noise and error
basically updating pMOdelProxies with everything that I've improved eg normalising, duplicate locs
going back to ENSORecon now. need to restructure again - normalising should definitely come before averaging, but norm period should take into account averaged records
ENSORecon: think it's cleaned up now, just ran it for T. automatically finds overlapping period by removing proxies one by one (might not be the best way but will do for now)
now saving locations as proxies_used - much easier to recall in errorEstimate.
errorEstimate: getting error by doing pseudoproxy reconstruction using EOF source dataset