EESPCA-package          Eigenvectors
computeApproxNormSquaredEigenvector
                        Approximates the normed squared eigenvector
                        loadings
computeResidualMatrix   Calculates the residual matrix from the reduced
                        rank reconstruction
eespca                  Eigenvectors from Eigenvalues Sparse Principal
                        Component Analysis (EESPCA)
eespcaCV                Cross-validation for Eigenvectors from
                        Eigenvalues Sparse Principal Component Analysis
                        (EESPCA)
eespcaForK              Multi-PC version of Eigenvectors from
                        Eigenvalues Sparse Principal Component Analysis
                        (EESPCA)
powerIteration          Power iteration method for calculating
                        principal eigenvector and eigenvalue.
reconstruct             Calculates the reduced rank reconstruction
reconstructionError     Calculates the reduced rank reconstruction
                        error
rifleInit               Computes the initial eigenvector for the rifle
                        method of Tan et al.
riflePCACV              Sparsity parameter selection via
                        cross-validation for rifle method of Tan et al.
tpower                  Implementation of the Yuan and Zhang TPower
                        method.
tpowerPCACV             Sparsity parameter selection for the Yuan and
                        Zhang TPower method using cross-validation.
