Fit a periodic spline for each featureSource:
Fit a periodic smoothing spline to the measurements for each feature as a function of the periodic variable.
Matrix of measurements, with observations in rows and features in columns. Missing values are allowed.
Vector of values of the periodic variable for the observations, where 0 corresponds to the lowest possible value and 1 corresponds to the highest possible value.
Number of internal knots to use for the periodic smoothing spline.
Matrix of coefficients, where rows correspond to features and columns correspond to variables in the fit.
Vector of root mean square of residuals, same length as