Description Usage Arguments Value Author(s)

Computes orthogonal socres partial least squares (opls_get_all) regressions with the NIPALS algorithm. It retrives a comprehensive set of pls outputs (e.g. vip and sensivity radius). It allows multiple response variables. NOTE: For internal use only!

1 2 3 4 5 6 | ```
opls_get_all(X,
Y,
ncomp,
scale,
maxiter,
tol)
``` |

`X` |
a matrix of predictor variables. |

`Y` |
a matrix of either a single or multiple response variables. |

`ncomp` |
the number of pls components. |

`scale` |
logical indicating whether |

`maxiter` |
maximum number of iterations. |

`tol` |
limit for convergence of the algorithm in the nipals algorithm. |

a list containing the following elements:

`ncomp`

the number of components used.`coefficients`

the matrix of regression coefficients.`bo`

a matrix of one row containing the intercepts for each component.`scores`

the matrix of scores.`X_loadings`

the matrix of X loadings.`Y_loadings`

the matrix of Y loadings.`vip`

the projection matrix.`selectivity_ratio`

the matrix of selectivity ratio (see Rajalahti, Tarja, et al. 2009).`Y`

the`Y`

input.`variance`

a`list`

conating two objects:`x_var`

and`y_var`

. These objects contain information on the explained variance for the`X`

and`Y`

matrices respectively.`transf`

a`list`

conating two objects:`Xcenter`

and`Xscale`

.`weights`

the matrix of wheights.

Leonardo Ramirez-Lopez

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