| scglr-package | Supervised Component Generalized Linear Regression |
| barplot.SCGLR | Barplot of percent of overall X variance captured by component |
| critConvergence | Auxiliary function for controlling SCGLR fitting |
| customize | Plot customization |
| genus | Sample dataset of abundance of genera in tropical moist forest |
| infoCriterion | Function that calculates cross-validation selection criteria |
| methodLPLS | Regularization criterion types |
| Methods | Regularization criterion types |
| methodSR | Regularization criterion types |
| multivariateFormula | Formula construction |
| multivariateGlm | Multivariate generalized linear regression |
| multivariateGlm.fit | Multivariate generalized linear regression |
| multivariatePredictGlm | Function that predicts the responses from the covariates for a new sample |
| pairs.SCGLR | Pairwise scglr plot on components |
| plot.SCGLR | SCGLR generic plot |
| print.SCGLR | Print SCGLR object |
| print.summary.SCGLR | Summarizing SCGLR fits |
| scglr | Function that fits the scglr model |
| scglrCrossVal | Function that fits and selects the number of component by cross-validation. |
| summary.SCGLR | Summarizing SCGLR fits |