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| matrixpls-package | Matrix-based Partial Least Squares estimation |
| ave | Average Variance Extracted indices for matrixpls results |
| convCheck.absolute | Convergence checks |
| convCheck.relative | Convergence checks |
| convCheck.square | Convergence checks |
| convergenceCheck | Convergence checks |
| cr | Composite Reliability indices for matrixpls results |
| effects.matrixpls | Total, Direct, and Indirect Effects for matrixpls results |
| estimator.cfaLoadings | Parameter estimation of a model matrix |
| estimator.efaLoadings | Parameter estimation of a model matrix |
| estimator.ols | Parameter estimation of a model matrix |
| estimator.plscLoadings | Parameter estimation of a model matrix |
| estimator.plsreg | Parameter estimation of a model matrix |
| estimator.tsls | Parameter estimation of a model matrix |
| fitSummary | Summary of model fit of PLS model |
| fitted.matrixpls | Model implied covariance matrix baesd on matrixpls results |
| gof | Goodness of Fit indices for matrixpls results |
| GSCA | Generalized structured component analysis (GSCA) weights |
| htmt | Heterotrait-monotrait ratio |
| inner.centroid | PLS inner estimation |
| inner.factor | PLS inner estimation |
| inner.gsca | PLS inner estimation |
| inner.identity | PLS inner estimation |
| inner.path | PLS inner estimation |
| innerEstimators | PLS inner estimation |
| loadings.matrixpls | Factor loadings matrix from matrixpls results |
| matrixpls | Partial Least Squares and other composite variable models. |
| matrixpls-common | Commonly used arguments |
| matrixpls.blindfold | Blindfold crossvalidation of predictions from matrixpls results |
| 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.gsca | Optimization criteria functions |
| optim.maximizeFullR2 | Optimization criteria functions |
| optim.maximizeIndicatorR2 | Optimization criteria functions |
| optim.maximizeInnerR2 | Optimization criteria functions |
| optimCriterion | Optimization criteria functions |
| outer.gsca | PLS outer estimation |
| outer.modeA | PLS outer estimation |
| outer.modeB | PLS outer estimation |
| outerEstimators | PLS outer estimation |
| parameterEstimators | Parameter estimation of a model matrix |
| params.separate | Parameter estimation with separate regression analyses |
| predict.matrixpls | Predict method for matrixpls results |
| q2 | Q2 predictive relevance statistics |
| r2 | R2 for matrixpls results |
| reliability.weightLoadingProduct | Reliabilities as products of weights and loadings |
| residuals.matrixpls | Residual diagnostics for matrixpls results |
| signAmbiquityCorrection | Sign ambiquity corrections |
| signChange.construct | Sign change corrections for bootstrap |
| signChange.individual | Sign change corrections for bootstrap |
| signChangeCorrection | Sign change corrections for bootstrap |
| weight.factor | Indicator weigth algoritms |
| weight.fixed | Indicator weigth algoritms |
| weight.optim | Indicator weigth algoritms |
| weight.pls | Indicator weigth algoritms |
| weight.principal | Indicator weigth algoritms |
| weightAlgorithms | Indicator weigth algoritms |
| weightSign.dominantIndicator | Sign ambiquity corrections |
| weightSign.Wold1985 | Sign ambiquity corrections |
| _PACKAGE | Matrix-based Partial Least Squares estimation |