Details on Vector Linear Regression
I'm doing a very simple regression with RapidMiner. I have tried several regression-models, but the 'Vector Linear Regression' outperforms all of them significantly. So I am now wondering why. I have looked up the docs on https://docs.rapidminer.com/latest/studio/operators/modeling/predictive/functions/vector_linear_regr , but I don't really understand the idea. Even on Google I coulndt find any valuable information about a 'Vector Linear Regression'. So can you share some details on how this algorithm works? I would be interested in a bit more detailed info, e.g. pseudo-code...