dot-pls: Partial least squares discriminant analysis
In o2plsda: Multiomics Data Integration
.pls R Documentation
Partial least squares discriminant analysis
Description
Perform a PLS discriminant analysis
Usage
.pls(X, Y, nc, cv = TRUE, nr_folds = 5)
Arguments
X
a matrix of predictor variables.
Y
a single vector indicate the group
nc
the number of pls components .
cv
logical indicating whether cross-validation will be performed or not (suggest TRUE).
nr_folds
nr_folds Integer to indicate the folds for cross validation.
@return list with PLS results
o2plsda documentation built on Sept. 11, 2024, 8:28 p.m.
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| .pls | R Documentation |
Partial least squares discriminant analysis
Description
Perform a PLS discriminant analysis
Usage
.pls(X, Y, nc, cv = TRUE, nr_folds = 5)
Arguments
X |
a matrix of predictor variables. |
Y |
a single vector indicate the group |
nc |
the number of pls components . |
cv |
logical indicating whether cross-validation will be performed or not (suggest TRUE). |
nr_folds |
nr_folds Integer to indicate the folds for cross validation. @return list with PLS results |
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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