Using the CCA solution, compute the score matrices. — .compute_unnormalized

This is called by .tiltedCCA_common_score. It's called unnormalized scores since if there are n rows (i.e., nrow(svd_1$u)), then the return matrices will be orthogonal matrices where the matrix multiplied by itself is a diagonal matrix with all values n.

Usage

.compute_unnormalized_scores(svd_1, svd_2, cca_res)

Arguments

svd_1: SVD of the denoised variant of mat_1 from dcca_factor
svd_2: SVD of the denoised variant of mat_2 from dcca_factor
cca_res: returned object from .cca

Value

list of two matrices