Physics, Data Science, Least Squares, Chemometrics, Spectroscopy.
Kc. But we can still find c such that the product Kc is as close as possible to A, as measured by the euclidean norm: In other words, we want to find c such that the sum of the squares of the errors A-Kc is minimized. The errors are defined as the difference between the measured spectra A and the