R package matrixpls: Matrix-Based Partial Least Squares Estimation. Partial Least Squares Path Modeling algorithm and related algorithms. The algorithm implementations aim for computational efficiency using matrix algebra and covariance data. The package is designed toward Monte Carlo simulations and includes functions to perform simple Monte Carlo simulations.
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References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Schlittgen, Rainer: Estimation of generalized structured component analysis models with alternating least squares (2018)
- Cantaluppi, Gabriele; Boari, Giuseppe: A partial least squares algorithm handling ordinal variables (2016)