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Sparse PARAFAC with L1-penalized multi-way tensor decomposition
OALS calculates the scores and loadings from data with missing values.
Sparse PCA with L1-penalized loadings for variable selection
Legacy weighted SIMPLISMA (pure) for selecting pure variables in multivariate datasets.
Iterative SVD performs iterative PCA-based imputation to handle missing data.
NIPALS performs PCA on data using iterative least squares and deflation steps. It can deal with missing values.