matrixpls calculates composite variable models using partial least squares (PLS) algorithm and related methods. In contrast to most other PLS software which implement the raw data version of the algorithm, matrixpls works with data covariance matrices. The algorithms are designed to be computationally efficient, modular in programming, and well documented. matrixpls integrates with simsem to enable Monte Carlo simulations with as little custom programming as possible.
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