| acfplot | Plot of Auto-correlation Funcion |
| ap.plot | Actual versus Predicted Plot and Residuals versus Predicted |
| bca.cis | Bias-corrected and Accelerated Confidence Intervals |
| bidiagpls.fit | Bidiag2 PLS |
| BiPlot | Generates a biplot from the output of an 'mvdareg' and... |
| boot.plots | Plots of the Output of a Bootstrap Simulation for an... |
| coefficients | Extract Summary Information Pertaining to the Coefficients... |
| coefficients.boots | BCa Summaries for the coefficient of an mvdareg object |
| coefficientsplot2D | 2-Dimensionsl Graphical Summary Information Pertaining to the... |
| coef.mvdareg | Extract Information From a plsFit Model |
| coefsplot | Graphical Summary Information Pertaining to the Regression... |
| College | Data for College Level Examination Program and the College... |
| contr.niets | Cell Means Contrast Matrix |
| ellipse.mvdalab | Ellipses, Data Ellipses, and Confidence Ellipses |
| imputeBasic | Naive imputation of missing values. |
| imputeEM | Expectation Maximization (EM) for imputation of missing... |
| imputeQs | Quartile Naive Imputation of Missing Values |
| imputeRough | Naive Imputation of Missing Values for Dummy Variable Model... |
| introNAs | Introduce NA's into a Dataframe |
| jk.after.boot | Jackknife After Bootstrap |
| loadings | Summary Information Pertaining to the Bootstrapped Loadings |
| loadings.boots | BCa Summaries for the loadings of an mvdareg object |
| loadingsplot | Graphical Summary Information Pertaining to the Loadings |
| loadingsplot2D | 2-Dimensionsl Graphical Summary Information Pertaining to the... |
| mewma | Generates a Hotelling's T2 Graph of the Multivariate... |
| model.matrix.mvdalab | 'model.matrix' creates a design (or model) matrix. |
| MultCapability | Principal Component Based Multivariate Process Capability... |
| MVcis | Calculate Hotelling's T2 Confidence Intervals |
| MVComp | Traditional Multivariate Mean Vector Comparison |
| mvdaboot | Bootstrapping routine for 'mvdareg' objects |
| mvdalab-package-title | Multivariate Data Analysis Laboratory (mvdalab) |
| mvdaloo | Leave-one-out routine for 'mvdareg' objects |
| mvrnorm.svd | Simulate from a Multivariate Normal, Poisson, Exponential, or... |
| my.dummy.df | Create a Design Matrix with the Desired Constrasts |
| no.intercept | Delete Intercept from Model Matrix |
| pcaFit | Principal Component Analysis |
| pca.nipals | PCA with the NIPALS algorithm |
| PE | Percent Explained Variation of X |
| Penta | Penta data set |
| perc.cis | Percentile Bootstrap Confidence Intervals |
| plot.cp | Plotting Function for Score Contributions. |
| plot.mvcomp | Plot of Multivariate Mean Vector Comparison |
| plot.mvdareg | General plotting function for 'mvdareg' and 'mvdapaca'... |
| plot.plusminus | 2D Graph of the PCA scores associated with a plusminusFit |
| plot.R2s | Plot of R2 |
| plot.smc | Plotting function for Significant Multivariate Correlation |
| plot.sr | Plotting function for Selectivity Ratio. |
| plot.wrtpls | Plots of the Output of a Permutation Distribution for an... |
| plsFit | Partial Least Squares Regression |
| plusMinusDat | plusMinusDat data set |
| plusminus.fit | PlusMinus (Mas-o-Menos) |
| plusminusFit | Plus-Minus (Mas-o-Menos) Classifier |
| plusminus.loo | Leave-one-out routine for 'plusminus' objects |
| predict.mvdareg | Model Predictions From a plsFit Model |
| print.mvdalab | Print Methods for mvdalab Objects |
| print.plusminus | Print Methods for plusminus Objects |
| proCrustes | Comparison of n-point Configurations vis Procrustes Analysis |
| R2s | Cross-validated R2, R2 for X, and R2 for Y for PLS models |
| ScoreContrib | Generates a score contribution plot |
| scoresplot | 2D Graph of the scores |
| SeqimputeEM | Sequential Expectation Maximization (EM) for imputation of... |
| smc | Significant Multivariate Correlation |
| smc.acfTest | Test of the Residual Significant Multivariate Correlation... |
| sr | Selectivity Ratio |
| T2 | Generates a Hotelling's T2 Graph |
| Wang_Chen | Bivariate process data. |
| Wang_Chen_Sim | Simulated process data from a plastics manufacturer. |
| weight.boots | BCa Summaries for the weights of an mvdareg object |
| weights | Extract Summary Information Pertaining to the Bootstrapped... |
| weightsplot | Extract Graphical Summary Information Pertaining to the... |
| weightsplot2D | Extract a 2-Dimensional Graphical Summary Information... |
| wrtpls.fit | Weight Randomization Test PLS |
| Xresids | Generates a Graph of the X-residuals |
| XresidualContrib | Generates the squared prediction error contributions and... |
| y.loadings | Extract Summary Information Pertaining to the y-loadings |
| y.loadings.boots | Extract Summary Information Pertaining to the y-loadings |
