Perform Two-Way Orthogonal Partial Least Squares

adjR2 | Gridwise adjusted R2 for O2PLS |

crossval_o2m | Cross-validate procedure for O2PLS |

crossval_o2m_adjR2 | Adjusted Cross-validate procedure for O2PLS |

input_checker | Check if matrices satisfy input conditions |

loadings | Extract the loadings from an O2PLS fit |

loocv | K fold CV for O2PLS |

loocv_combi | K-fold CV based on symmetrized prediction error |

mse | Calculate mean squared difference |

o2m | Perform O2-PLS with two-way orthogonal corrections |

o2m2 | Perform O2-PLS with two-way orthogonal corrections |

o2m_stripped | Perform O2-PLS with two-way orthogonal corrections |

o2m_stripped2 | Perform O2-PLS with two-way orthogonal corrections |

OmicsPLS | O2PLS: Two-Way Orthogonal Partial Least Squares |

orth | Orthogonalize a matrix |

plot.o2m | Plot one or two loading vectors for class o2m |

pow_o2m | NIPALS method for PLS2 |

pow_o2m2 | Power method for PLS2 |

predict.o2m | Predicts X or Y |

print.cvo2m | Cross-validate procedure for O2PLS |

print.o2m | Print function for O2PLS. |

print.summary.o2m | Prints the summary of an O2PLS fit |

rmsep | Root MSE of Prediction |

rmsep_combi | Symmetrized root MSE of Prediction |

ssq | Calculate Sum of Squares |

summary.o2m | Summary of an O2PLS fit |

vnorm | Norm of a vector or columns of a matrix |

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