Functional Principal Least Squares¶
Partial Least Squares using SVD
moduleauthor:: J. Derek Tucker <jdtuck@sandia.gov>

fPLS.
pls_svd
(time, qf, qg, no, alpha=0.0)[source]¶ This function computes the partial least squares using SVD
Parameters:  time – vector describing time samples
 qf – numpy ndarray of shape (M,N) of N functions with M samples
 qg – numpy ndarray of shape (M,N) of N functions with M samples
 no – number of components
 alpha – amount of smoothing (Default = 0.0 i.e., none)
Return type: numpy ndarray
Return wqf: f weight function
Return wqg: g weight function
Return alpha: smoothing value
Return values: singular values