I have a set of vectors as a numpy array. I need to get the orthogonal distances of each of those from a plane defined by 2 vectors v1 and v2. I can get this easily for a single vector using the Gram-Schmidt process. Is there a way to do it very fast in for many vectors without having to loop through each of them, or using np.vectorize?I have a set of vectors as a numpy array. I nee