Description Usage Arguments Value See Also
Perform PLSDA classification and feature selection.
Writes two output files: "plsda_vip.csv"
and "plsda_coef.csv"
.
1 2 | PLSDA.CV(dataSet, analSet, methodName = "CV",
compNum = GetDefaultPLSCVComp(dataSet), choice = "Q2")
|
dataSet |
List, data set object generated by |
analSet |
List, containing the results of statistical analysis (can be just an empty list). |
methodName |
Cross validation method |
compNum |
The maximum number of components to search. |
choice |
The determining performance measure, one of |
Native analSet
with one added $plsda
element consisting of:
$best.num
- the detected best number of components
$choice
- value of choice
argument
$coef.mat
- matrix of VIPs (variable importance in projection)
$vip.mat
- matrix of weighted sums of absolute regression coefficients
$fit.info
- all performance measures calculated for different number of components
PLS.Anal
, PLS.Loadings
, PLSDA.Permut
, PlotPLS
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