yapprox: Prediction based on PCA and anovas (NOT ONLY)
In multisensi: Multivariate Sensitivity Analysis
yapprox R Documentation
Prediction based on PCA and anovas (NOT ONLY)
Description
A function that predicts the model output after PCA and aov analyses
Usage
yapprox(multivar.obj, nbcomp = 2, aov.obj)
Arguments
multivar.obj
output of the multivar function
nbcomp
number of columns
aov.obj
aov object
Value
model output predictions
Note
This is essentially an internal function for the multisensi package
multisensi documentation built on Aug. 20, 2026, 1:08 a.m.
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| yapprox | R Documentation |
Prediction based on PCA and anovas (NOT ONLY)
Description
A function that predicts the model output after PCA and aov analyses
Usage
yapprox(multivar.obj, nbcomp = 2, aov.obj)
Arguments
multivar.obj |
output of the multivar function |
nbcomp |
number of columns |
aov.obj |
aov object |
Value
model output predictions
Note
This is essentially an internal function for the multisensi package
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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