R: Supervised principal components

# Supervised principal components

## Documentation for package ‘superpc’ version 1.09

- DESCRIPTION file.

## Help Pages

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