computeWT: Compute weight and score matrices from PLSc
In powerPLS: Power Analysis for PLS Classification
computeWT R Documentation
Compute weight and score matrices from PLSc
Description
Compute weight and score matrices for Partial Least Squares classification
Usage
computeWT(X, Y, A)
Arguments
X
Data matrix where columns represent the p variables and
rows the n observations.
Y
Data matrix where columns represent the two classes and
rows the n observations.
A
Number of score components
Value
List with the following objects:
- W
Matrix of weights
- T_score
Matrix of Y scores
- R
Matrix of Y residuals
Author(s)
Angela Andreella
powerPLS documentation built on April 4, 2025, 1:57 a.m.
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| computeWT | R Documentation |
Compute weight and score matrices from PLSc
Description
Compute weight and score matrices for Partial Least Squares classification
Usage
computeWT(X, Y, A)
Arguments
X |
Data matrix where columns represent the |
Y |
Data matrix where columns represent the two classes and
rows the |
A |
Number of score components |
Value
List with the following objects:
- W
Matrix of weights
- T_score
Matrix of
Yscores- R
Matrix of
Yresiduals
Author(s)
Angela Andreella
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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