Description Arguments Details Note See Also Examples

The following parameters can be used in the `...`

argument in
function `getap`

, also within function `gdmm`

, to
override the values in the analysis procedure file and so to modify the
calculation of PLSR models - see examples.

`getap(...)`

`gdmm(dataset, ap=getap(...))`

`do.pls` |
Logical. If used in |

`pls.regOn` |
NULL or character vector. Which variables should be used to regress on. Set to NULL for using all numerical variables to regress on, or provide a character vector with the column names of numerical variables to use those for regression in the PLSR. |

`pls.ncomp` |
NULL or integer length one. The number of components used in PLSR. Set to NULL for automatic detection, or provide an integer to use this number of components in the PLSR. |

`pls.valid` |
Character. Which crossvalidation to use. Possible values are: "def" Read in the default value from settings.r (parameter `plsr_calc_typeOfCrossvalid` )A numeric length one for this n-fold crossvalidation. The default is to always exclude resp. include consecutive scans together. A valid name of a class variable for performing a crossvalidation based on the grouping defined by this variable. For a class variable containing e.g. four different levels, a 4-fold crossvalidation with always all members of one group being excluded is performed. This is overruling any grouping that would result from the consecutive scans, please see below. "LOO" for a leave-one-out crossvalidation
If a vector with the same length as the vector in |

`pls.exOut` |
Logical. If a plsr-specific box-plot based outlier-detection algorithm should be used on the data of a first plsr model to determine the outliers that then will be excluded in the final plsr model. Possible values are: "def" Read in the default value from settings.r (parameter `plsr_calc_excludePlsrOutliers` )TRUE for excluding plsr specific outliers FALSE for not performing the plsr specific outlier exclusion
If a vector with the same length as the vector in |

For a list of all parameters that can be used in the `...`

argument in `getap`

and in the `plot`

functions
please see `anproc_file`

.

Calculation of PLSR models is done with the function
`plsr`

.

Other Calc. arguments: `calc_NNET_args`

,
`calc_SVM_args`

, `calc_aqg_args`

,
`calc_discrimAnalysis_args`

,
`calc_pca_args`

,
`calc_randomForest_args`

,
`calc_sim_args`

, `split_dataset`

Other PLSR documentation: `plot_pls,aquap_cube-method`

,
`plot_pls_args`

,
`plot_pls_indepPred`

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