| lpda | Computing discriminating hyperplane for two groups |
| lpda.3D | Classification with lpda for 3way array data |
| lpda.fit | lpda.fit computes the discriminating hyperplane for two groups |
| lpda.pca | lpda.pca computes a PCA to the original data and selects the desired PCs when Variability is supplied |
| lpdaCV | Crossvalidation procedure for lpda evaluation |
| lpdaCV.3D | Crossvalidation procedure for lpda3D evaluation |
| palmdates | Spectrometry and composition chemical of Spanish and Arabian palm dates |
| PCA | Principal Component Analysis |
| plot.lpda | Plot method for lpda classification |
| plot.lpda.3D | Plot method for lpda classification |
| predict.lpda | Predict method for lpda classification |
| predict.lpda.3D | Predict method for lpda.3D classification |
| print.lpda | Computing discriminating hyperplane for two groups |
| print.lpda.3D | Classification with lpda for 3way array data |
| print.lpdaCV | Crossvalidation procedure for lpda evaluation |
| print.predict.lpda | Predict method for lpda classification |
| print.predict.lpda.3D | Predict method for lpda.3D classification |
| print.summary.lpda | Summarizing lpda classification |
| print.summary.lpda.3D | Summarizing lpda.3D classification |
| RNAseq | Simulated RNA-Seq Time Series 3-dimensional dataset example |
| stand | stand center and scale a data matrix |
| stand2 | stand2 center and scale a data matrix with the parameters of another one |
| summary.lpda | Summarizing lpda classification |
| summary.lpda.3D | Summarizing lpda.3D classification |