We can now fit a multivariate linear regression model to map between the two views: where k is the source and l is the target view, and MSE is the mean squared error.
the success of this model can be seen as an indication of how predictable representation l is from representation k. we use a cross-validated Pearson's correlation between predicted and true targets for an L 2 -penalized model.