pca_nipals | R Documentation |

Computes orthogonal socres partial least squares (opls) regressions with the NIPALS algorithm. It allows multiple response variables. For internal use only!

```
pca_nipals(X, ncomp, center, scale,
maxiter, tol,
pcSelmethod = "var",
pcSelvalue = 0.01)
```

`X` |
a matrix of predictor 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. |

`pcSelmethod` |
the method for selecting the number of components.
Options are: |

`pcSelvalue` |
a numerical value that complements the selected method ( |

a list containing the following elements:

`pc_scores`

: a matrix of principal component scores.`pc_loadings`

: a matrix of of principal component loadings.`variance`

: a matrix of the variance of the principal components.`scale`

: a`list`

conating two objects:`center`

and`scale`

, which correspond to the vectors used to center and scale the input matrix.

Leonardo Ramirez-Lopez

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.