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| superpc.cv | Cross-validation for supervised principal components |
| superpc.decorrelate | Decorrelate features with respect to competing predictors |
| superpc.fit.to.outcome | Fit predictive model using outcome of supervised principal components |
| superpc.listfeatures | Return a list of the important predictors |
| superpc.lrtest.curv | Compute values of likelihood ratio test from supervised principal components fit |
| superpc.plot.lrtest | Plot likelhiood ratio test statistics |
| superpc.plotcv | Plot output from superpc.cv |
| superpc.plotred.lrtest | Plot likelihood ratio test statistics from supervised principal components predictor |
| superpc.predict | Form principal components predictor from a trained superpc object |
| superpc.predict.red | Feature selection for supervised principal components |
| superpc.predict.red.cv | Cross-validation of feature selection for supervised principal components |
| superpc.predictionplot | Plot outcome predictions from superpc |
| superpc.rainbowplot | Make rainbow plot of superpc and compeiting predictors |
| superpc.train | Prediction by supervised principal components |