Description Usage Arguments Value Author(s) Examples

Takes in a set of predictor variables and a set of response variables and produces a PLS biplot for the (univariate) GLMs, with the labels of the sample points excluded.

1 2 |

`X` |
A (NxP) predictor matrix |

`y` |
A (Nx1) response vector |

`algorithm` |
The PLS.GLM_SIMPLS algorithm |

`ax.tickvec.X` |
tick marker length for each X-variable axis in the biplot |

`ax.tickvec.y` |
tick marker length for the y-variable axis in the biplot |

`ax.tickvec.b` |
(purple) tick marker length for the y-variable axis in the biplot |

`...` |
Other arguments. Currently ignored |

The PLS biplot of a GLM (fitted using the SIMPLS algorithm) of D=[X y] with some parameters

Opeoluwa F. Oyedele and Sugnet Gardner-Lubbe

1 2 3 4 5 6 7 8 9 | ```
if(require(robustbase))
possum.mat
y = as.matrix(possum.mat[,1], ncol=1)
dimnames(y) = list(paste("S", 1:nrow(possum.mat), seq=""), "Diversity")
X = as.matrix(possum.mat[,2:14], ncol=13)
dimnames(X) = list(paste("S", 1:nrow(possum.mat), seq=""), colnames(possum.mat[,2:14]))
#Poisson-fitted
PLS.GLM.biplot_SIMPLS_no.SN(X, y, algorithm=PLS.GLM,
ax.tickvec.X=rep(5,ncol(X)), ax.tickvec.y=10, ax.tickvec.b=7)
``` |

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