| 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. |