Linear Regression, Linear Algebra, Mathematics, Statistics, Data Science.
the point of C(A) which is closest to it. This allows us to assert that the line produced by the coefficients found through this method is indeed the ‘best fit’; the orthogonal projection of b onto C(A), which we name p, is the closest that Ax can get to the original vector b. Proving that a given