predict.MBWCov {MBAnalysis} | R Documentation |
Prediction from MBWCov models
Description
Computes predictions of Y from MBWCov
using calibration X (default) or new X observations.
Usage
## S3 method for class 'MBWCov'
predict(object, newdata = object$call$X, ncomp = object$call$ncomp, ...)
Arguments
object |
An object resulting from |
newdata |
A matrix or data.frame of (new) observations having the same ncol and same colnames as the X of fitting observations. |
ncomp |
The number of components to be considered in the model to perform the predictions. By default, all components computed in |
... |
further arguments passed to or from other methods. |
Value
A matrix of predicted Y values where each row corresponds to an observation and each column corresponds to a Y variable.
See Also
Examples
data(ham)
X=ham$X
block=ham$block
Y=ham$Y
res.mbwcov <- MBWCov(X, Y, block, name.block = names(block))
predict(res.mbwcov)
[Package MBAnalysis version 2.0.2 Index]