SPCAvRP                 Computes the leading eigenvector using the
                        SPCAvRP algorithm
SPCAvRP_deflation       Computes the leading eigenvectors using the
                        modified deflation scheme
SPCAvRP_parallel        Parallel implementation of the SPCAvRP
                        algorithm
SPCAvRP_ranking         Ranks the variables
SPCAvRP_subspace        Computes the leading eigenspace using the
                        SPCAvRP algorithm for eigenspace estimation
final_estimator         Computes the leading eigenvector from its
                        support
project_covariance      Projects the sample covariance
select_projection       Selects the best projection
select_projections_subspace
                        Selects the best projections for the subspace
                        estimation
