Matrix-based Partial Least Squares estimation

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Documentation for package ‘matrixpls’ version 0.5.0

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matrixpls-package Matrix-based Partial Least Squares estimation
AVE Average Variance Extracted indices for matrixpls results
convCheck.absolute Absolute difference convergence check criterion
convCheck.relative Relative difference convergence check criterion
convCheck.square Squared difference convergence check criterion
CR Composite Reliability indices for matrixpls results
effects.matrixpls Total, Direct, and Indirect Effects for matrixpls results
fitSummary Summary of model fit of PLS model
GoF Goodness of Fit indices for matrixpls results
inner.centroid PLS inner estimation with the centroid scheme
inner.factor PLS inner estimation with the factor scheme
inner.GSCA GSCA inner estimation
inner.Horst PLS inner estimation with the Horst scheme
inner.identity PLS inner estimation with the identity scheme
inner.path PLS inner estimation with the path scheme
loadings Factor loadings matrix from matrixpls results
matrixpls Partial Least Squares and other composite variable models.
matrixpls.boot Bootstrapping of matrixpls function
matrixpls.plspm A plspm compatibility wrapper for matrixpls
matrixpls.sempls A semPLS compatibility wrapper for matrixpls
matrixpls.sim Monte Carlo simulations with matrixpls
optim.GCCA GSCA optimization criterion
optim.GSCA GSCA optimization criterion
optim.maximizeInnerR2 Optimization criterion to maximize the inner model mean R2
optim.maximizePrediction Optimization criterion for maximal prediction
outer.factor Blockwise factor score outer estimation
outer.fixedWeights PLS outer estimation with fixed weights
outer.GSCA GSCA outer estimation
outer.modeA PLS outer estimation with Mode A
outer.modeB PLS outer estimation with Mode B
outer.RGCCA RGCCA outer estimation (Experimental)
params.plsc Parameter estimation with an adaptation of PLSc algorithm
params.plsregression Parameter estimation with PLS regression
params.regression Parameter estimation with separate regression analyses
params.tsls Parameter estimation with two-stage least squares
predict.matrixpls Predict method for matrixpls results
R2 R2 for matrixpls results
residuals.matrixpls Residual diagnostics for matrixpls results
signChange.construct Construct level sign change correction for boostrapping
signChange.individual Individual indicator sign change correction for boostrapping
weight.fixed Fixed weights
weight.optim Optimized weights
weight.pls Partial Least Squares and other iterative two-stage weight algorithms