kopls-package           Kernel-based orthogonal projections to latent
                        structures (K-OPLS)
koplsBasicClassify      Classification rule based on a fixed threshold
koplsCV                 K-OPLS cross-validation
koplsCenterKTeTe        Centering function for the test kernel
koplsCenterKTeTr        Centering function for the hybrid test/training
                        kernel
koplsCenterKTrTr        Centering function for the training kernel
koplsConfusionMatrix    Calculation of confusion matrix
koplsCrossValSet        Generate training/test observations for
                        cross-validation
koplsDemo               K-OPLS demonstration procedure
koplsDummy              Convertion of integer vector to dummy matrix
koplsKernel             Kernel construction method
koplsMaxClassify        Classification rule based on the maximum class
                        belonging
koplsModel              K-OPLS model training
koplsPlotCVDiagnostics
                        Overview plot of cross-validation results
koplsPlotModelDiagnostics
                        Overview of model training results
koplsPlotScores         Plots scores from trained K-OPLS models
koplsPlotSensSpec       Plots sensitivity and specificity results from
                        cross-validation
koplsPredict            Prediction of new samples from a K-OPLS model
koplsReDummy            Reconstruct class vector
koplsRescale            Matrix scaling based on pre-defined parameters
koplsScale              Matrix scaling function
koplsScaleApply         Apply matrix scaling
koplsSensSpec           Sensitivity and specificity calculations for
                        classification
