explvar: Explained predictor variance
In multiblock: Multiblock Data Fusion in Statistics and Machine Learning
explvar R Documentation
Explained predictor variance
Description
Extraction and/or computation of explained variances for various
object classes in the multiblock package.
Usage
explvar(object)
Arguments
object
An object fitted using a method from the multiblock package
Value
A vector of component-wise explained variances for predictors.
Examples
data(potato)
so <- sopls(Sensory ~ Chemical + Compression, data=potato, ncomp=c(10,10),
max_comps=10)
explvar(so)
multiblock documentation built on Sept. 16, 2024, 9:06 a.m.
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| explvar | R Documentation |
Explained predictor variance
Description
Extraction and/or computation of explained variances for various
object classes in the multiblock package.
Usage
explvar(object)
Arguments
object |
An object fitted using a method from the multiblock package |
Value
A vector of component-wise explained variances for predictors.
Examples
data(potato)
so <- sopls(Sensory ~ Chemical + Compression, data=potato, ncomp=c(10,10),
max_comps=10)
explvar(so)
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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