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Sparse PCA with L1-penalized loadings for variable selection
Sparse PARAFAC with L1-penalized multi-way tensor decomposition
Simulates GC-MS datasets with retention time shifts for PARAFAC2 benchmarking
Shifted Covariates REgression Analysis for Multi-way data
Bootstrap BCa confidence limits for PCA scores and loadings
Normalized 2D radial pair distributions for molecular hydration analysis
Sparse PARAFAC fitting for incomplete multi-way data via Levenberg-Marquardt
Imports and prepares Perkin-Elmer fluorometric data for MATLAB
Multiblock PCA and PLS methods for multi-source data analysis
Removes Rayleigh and Raman scatter from fluorescence EEM data