R: Prediction with Less Overfitting and Robust to Noise

# Prediction with Less Overfitting and Robust to Noise

## Documentation for package ‘PLORN’ version 0.1.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

p.clean | Clean data by eliminating predictors with many missing values
p.opt | Estimate the optimal number of predictors to construct PLORN model
p.pca | Visualize predictors using principal coordinate analysis
p.rank | Visualize R-squared value distribution in predictor-environment interaction
p.sort | Sort and truncate predictors according to the strength of predictor-environment interaction
Pinus | Transcriptomes of Pinus roots under a Temperature Gradient
plorn | Construct and apply the PLORN model with your own data