bootsPLS-package |
Bootstrap Subsamplings of Sparse Partial Least Squares - Discriminant Analysis for Classification and Signature Identification |

bootsPLS |
Performs replications of sPLSDA on random subsamplings of the data |

CI.prediction |
Compute Confidence Intervals (CI) for test samples |

compile.bootsPLS.object |
Combine several bootsPLS objects into one |

component.selection |
Tune the number of components |

fit.model |
Create a spls.constraint object by fitting a constraint spls on a bootsPLS object |

MSC |
Mesenchymal Stem Cells data |

plot.bootsPLS |
Plot the frequency of selection of all variables for all the PLS-component. |

plot.component.selection |
Plot the results of the testing procedure to determine the number of component to select |

plot.predictCI |
Plot confidence Intervals |

plot.variable.selection |
Plot the results of the testing procedure to determine the number of variables to select |

prediction |
prediction |

spls.hybrid |
spls.hybrid, midway between PLS and sPLS |

try |
Bootstrap Subsamplings of Sparse Partial Least Squares - Discriminant Analysis for Classification and Signature Identification |

variable.selection |
Tune the number of variables on each component |