plot_pls,aquap_cube-method | R Documentation |
Plot PLSR error and calibration / crossvalidation plots.
## S4 method for signature 'aquap_cube'
plot_pls(object, ...)
object |
An object of class 'aquap_cube' as produced by |
... |
Optional 'pls' plotting parameters to override the values in the
analysis procedure - for possible arguments see
|
By providing one or more of the ...
arguments you can
override the plotting values in the selected analysis procedure, see examples.
The width and height of the resulting pdf can be set in the settings.
A pdf or graphic device.
Other Plot functions:
plot,aquap_cube,missing-method
,
plot,aquap_data,missing-method
,
plot_aqg()
,
plot_classifX_indepPred()
,
plot_da,aquap_cube-method
,
plot_nnet,aquap_cube-method
,
plot_pca,aquap_cube-method
,
plot_pls_indepPred()
,
plot_rnf,aquap_cube-method
,
plot_simca,aquap_cube-method
,
plot_svm,aquap_cube-method
Other PLSR documentation:
calc_pls_args
,
plot_pls_args
,
plot_pls_indepPred()
## Not run:
dataset <- gfd()
cube <- gdmm(dataset)
plot(cube)
plot_pls(cube)
plot_pls(cube, aps="foobar.r") # to get the plotting parameters
# from the file "foobar.r".
plot_pls(cube, lv.col="red") # to have the regression vector in red
plot(cube, what="pls", pg.where="", rv.col="red", rv.lty=2)
plot(cube, pg.where="", rv.col="red", rv.lty=2)
plot(cube, pls.what="regression") # for plsr, only plot the regression vector
## End(Not run)
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