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i.e., we found the least squares solution x̂ = minimum(‖Ax-b‖₂). Note that if A has more columns than rows and infinitely many solutions, the SVD picks the solution with the minimum 2-norm, i.e., x̂ = minimum(‖x̂‖₂). Linear Regression with the SDV Once we have established the required SVD jargon,