Unlock: Smoothing Splines

Solve a roughness-penalized least squares: minimize residual sum of squares plus the integrated squared second derivative. The minimizer is the natural cubic spline interpolating the data, the smoothing-parameter selection has a closed form via degrees of freedom and GCV, and the estimator lives in a reproducing kernel Hilbert space.