bootnComp: Bootstrap to find optimal number of components
In robCompositions: Compositional Data Analysis
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Examples
Description
Combined bootstrap and cross validation procedure to find optimal number of
PLS components
Usage
1
Arguments
X
predictors as a matrix
y
response
R
number of bootstrap replicates
plotting
if TRUE, a diagnostic plot is drawn for each bootstrap
replicate
Details
Heavily used internally in function impRZilr.
Value
Including other information in a list, the optimal number of
components
Author(s)
Matthias Templ
See Also
Examples
1
## we refer to impRZilr()
robCompositions documentation built on Sept. 20, 2021, 5:07 p.m.
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Description Usage Arguments Details Value Author(s) See Also Examples
Description
Combined bootstrap and cross validation procedure to find optimal number of PLS components
Usage
1 |
Arguments
X |
predictors as a matrix |
y |
response |
R |
number of bootstrap replicates |
plotting |
if TRUE, a diagnostic plot is drawn for each bootstrap replicate |
Details
Heavily used internally in function impRZilr.
Value
Including other information in a list, the optimal number of components
Author(s)
Matthias Templ
See Also
Examples
1 | ## we refer to impRZilr()
|
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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