d.spls.type: Splitting the observations into groups
In dual.spls: Dual Sparse Partial Least Squares Regression
d.spls.type R Documentation
Splitting the observations into groups
Description
The internal function type divides the response vector y in cells
of equal range and attributes a index type to the observations according to the corresponding cell
Usage
d.spls.type(y, ncells)
Arguments
y
a numeric vector.
ncells
a positive integer. ncells is the number of subsamples desired.
Value
A vector of index specifying each observation belonging to which group index.
Author(s)
Louna Alsouki François Wahl
See Also
d.spls.split, d.spls.calval
dual.spls documentation built on April 19, 2023, 1:07 a.m.
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| d.spls.type | R Documentation |
Splitting the observations into groups
Description
The internal function type divides the response vector y in cells
of equal range and attributes a index type to the observations according to the corresponding cell
Usage
d.spls.type(y, ncells)
Arguments
y |
a numeric vector. |
ncells |
a positive integer. |
Value
A vector of index specifying each observation belonging to which group index.
Author(s)
Louna Alsouki François Wahl
See Also
d.spls.split, d.spls.calval
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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