calc_pls_args | R Documentation |
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:
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:
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
.
gdmm
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()
## Not run:
dataset <- gfd()
cube <- gdmm(dataset, ap=getap(pls.regOn="Y_Temp"))
cube <- gdmm(dataset, ap=getap(pls.ncomp=5, pls.regOn="Y_Foo"))
## End(Not run)
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