| onlinePCA-package | Online Principal Component Analysis |
| batchpca | Batch PCA |
| bsoipca | Block Stochastic Orthononal Iteration (BSOI) |
| ccipca | Candid Covariance-Free Incremental PCA |
| coef2fd | Recover functional data from their B-spline coefficients |
| create.basis | Create a smooth B-spline basis |
| fd2coef | Compute the coefficients of functional data in a B-spline basis |
| ghapca | Generalized Hebbian Algorithm for PCA |
| impute | BLUP Imputation of Missing Values |
| incRpca | Incremental PCA |
| incRpca.block | Incremental PCA with Block Update |
| incRpca.rc | Incremental PCA With Reduced Complexity |
| perturbationRpca | Recursive PCA using a rank 1 perturbation method |
| secularRpca | Recursive PCA Using Secular Equations |
| sgapca | Stochastic Gradient Ascent PCA |
| snlpca | Subspace Network Learning PCA |
| updateCovariance | Update the Sample Covariance Matrix |
| updateMean | Update the Sample Mean Vector |