Evidence-backed scope · Version 2.62.8

QuickPLS capability matrix

Use the status and scope columns together. A supported method can still contain outputs that are conditional on the data, measurement type or fitted model.

Status language matters. Supported means a documented route exists. Conditional means the route or output depends on the model. Not applicable means a statistic is scientifically undefined for the selected design. Unavailable means the release does not provide that capability.

Showing 46 of 46 capability records.

Capability	Family	Status	Documented scope
PLS-SEM Algorithm	Estimation and core analysis	Supported	Graphical Output; Path coefficients; Outer loadings; R-square; Construct reliability and validity; Model fit — descriptive
PLS power analysis	Estimation and core analysis	Supported	Minimum sample-size decision; Power curve; Simulation accounting and convergence receipt
Weighted PLS	Estimation and core analysis	Supported	Weighted path coefficients; Weighted outer estimates; Weighting/accounting evidence; Graphical Output
Consistent PLS	Estimation and core analysis	Supported	Corrected path coefficients; Corrected outer estimates; Reliability and validity; Model fit
Principal Component Analysis	Estimation and core analysis	Supported	Explained and cumulative variance; Scree plot; Component loadings; Component scores
PLS-SEM Bootstrapping	Resampling and inference	Supported	Inference → Path coefficients; Inference → Outer loadings; Inference → Outer weights; Inference → R-square; Direct effects when applicable; Graphical Output with Inner model = t value and Outer model = t value
PLSc Consistent Bootstrapping	Resampling and inference	Supported	PLSc bootstrap estimates; Standard errors and probabilities; Confidence intervals; Replicate accounting
Blindfolding	Resampling and inference	Supported	Cross-validated redundancy Q²; SSE and SSO for eligible endogenous reflective constructs; R-square table for descriptive context
Permutation / Structural Path Randomization	Resampling and inference	Supported	Observed focal-path estimate; Randomized reference distribution; Permutation probability and accounting
PLSc Consistent Permutation	Resampling and inference	Supported	PLSc group estimates; Group differences; Directional/two-sided probabilities; Assignment accounting
CVPAT	Quality and validation	Supported	CVPAT benchmark comparison; Average loss difference; Prediction-error chart; Fold accounting
Confirmatory Composite Analysis	Quality and validation	Supported	CCA residual summary; Composite residuals; Reliability, discriminant-validity, structural-quality, fit, and blindfolding diagnostics supplied by the CCA result
Confirmatory Tetrad Analysis	Quality and validation	Supported	Descriptive tetrads; Eligible-block accounting; Explicit availability note for inferential classification
HTMT / HTMT+	Quality and validation	Supported	HTMT+ matrix; Original signed HTMT matrix; Heatmaps
Global GoF	Fit and model selection	Supported	Global GoF value; Eligible AVE and R-square components; Interpretation warning
PLS Model Fit	Fit and model selection	Supported	Model Fit — descriptive; SRMR and applicable discrepancy summaries; Method details and boundaries
PLS Model Comparison	Fit and model selection	Supported	Comparison overview; Predictive loss; Paired CVPAT; BIC; Decision evidence
Prediction-Oriented Model Selection	Fit and model selection	Supported	Candidate ranking; Equation BIC; Predictive-loss evidence; Ties or mixed-evidence decision table
MICOM	Groups, prediction and segmentation	Supported	Pairwise MICOM results; Compositional invariance; Equality of means and variances; Group eligibility and permutation accounting
PLS-MGA	Groups, prediction and segmentation	Supported	Group-specific path estimates; Left-minus-right path difference; Raw and adjusted permutation p values; Measurement-comparability and interpretation status
PLSc-MGA	Groups, prediction and segmentation	Supported	Consistent group estimates; MICOM gate; PLSc-MGA comparison tables
PLSpredict	Groups, prediction and segmentation	Supported	Indicator prediction errors; IA/LM benchmark comparison; RMSE/MAE chart; Fold and omission accounting
PLS-POS	Groups, prediction and segmentation	Supported	Candidate segmentation diagnostics; Converged and stable-start counts; Candidate information criteria; Explicit stability blocker
FIMIX-PLS	Groups, prediction and segmentation	Supported	Candidate information criteria; Likelihood history; Posterior memberships; Assignments and segment shares
IPMA	Advanced PLS analysis	Supported	Construct importance-performance map; Construct table; Indicator table; Target receipt
Moderation	Advanced PLS analysis	Supported	Interaction effects and conditional slopes; Conditional focal slopes; Interaction plot points; Moderating-effect charts
Mediation	Advanced PLS analysis	Supported	Specific indirect effects; Aggregate indirect effects; Direct effects; Total effects; Bootstrap confidence intervals
Nonlinear relationships	Advanced PLS analysis	Supported	Linear and quadratic coefficients; Incremental R-square; Effect curve; Slopes and turning point
Higher-order models	Advanced PLS analysis	Supported	Stage-one and stage-two receipts; Higher-order weights/loadings; Structural paths; Bootstrap inference when requested
Gaussian-copula endogeneity	Advanced PLS analysis	Supported	Joint equation coefficients; Source-normality diagnostics; Equation fit and sensitivity tables
GSCA	General statistical methods	Supported	Fit summary; Component weights and loadings; Structural estimates; Residual and fit chart
Binary logistic regression	General statistical methods	Supported	Coefficients and odds ratios; Model fit; Classification/confusion table; ROC/AUC and cutoff chart
Necessary Condition Analysis	General statistical methods	Supported	Ceiling and effect size; Bottleneck table; Permutation inference; Ceiling plot
PROCESS/path analysis	General statistical methods	Supported	Equation coefficients; Direct and indirect effects; Conditional effects; Simple slopes and Johnson-Neyman output
PROCESS bootstrapping	General statistical methods	Supported	Bootstrap direct and indirect effects; Conditional-effect intervals; Failure and usable-replicate accounting
OLS regression	General statistical methods	Supported	Model summary and ANOVA; Coefficients; Diagnostics; Predictions and residuals; Diagnostic charts
Regression bootstrapping	General statistical methods	Supported	Bootstrap coefficient estimates; Standard errors and confidence intervals; Usable and failed replicate accounting
CB-SEM	CB-SEM and CFA	Supported	Fit indices; Parameter estimates; Standardized solution; Residuals; Model diagram
CB-SEM bootstrapping	CB-SEM and CFA	Supported	Point fit; Bootstrap parameter estimates; Intervals and probabilities; Replicate receipt
CFA	CB-SEM and CFA	Supported	Fit summary; Factor loadings; Variances and covariances; Standardized solution; Residuals
PCA for CB-SEM preparation	CB-SEM and CFA	Supported	Scree plot; Explained variance; Component loadings; Scores when requested
CB-SEM Model Comparison	CB-SEM and CFA	Unavailable	No qualified Standard execution route is available in 2.62.8.
CB-SEM Multigroup Analysis	CB-SEM and CFA	Unavailable	No qualified Standard execution route is available in 2.62.8.
CB-SEM Measurement Invariance	CB-SEM and CFA	Unavailable	No qualified Standard execution route is available in 2.62.8.
CB-SEM Moderator Analysis	CB-SEM and CFA	Unavailable	No qualified Standard execution route is available in 2.62.8.
CB-SEM-specific PCA capability cell	CB-SEM and CFA	Unavailable	Use the ordinary Principal Component Analysis route for exploratory preparation; the separate CB-SEM capability cell remains unavailable.