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Recently, non-linear least squares computer fitting of data to model equations has been used 16.
[perpendicular to]]y and we have effectively removed the linear parameters and now need to solve a non-linear least squares problem to find [alpha].
Such fitting requires (1) the model function, (2) a residuals function that subtracts a model result with given parameters from measured data, and (3) a non-linear least squares part that adjusts the parameters to minimize the sum of squares of residuals.