Predict_MB: ComDim - Finding common dimensions in multi-block datasets
In f-puig/R.ComDim: ComDim analysis under R environment
Predict_MB R Documentation
ComDim - Finding common dimensions in multi-block datasets
Description
Predict_MB applies an existent ComDim model to a MultiBlock object.
Usage
Predict_MB(MB = MB, y, model = model, normalise = FALSE, loquace = TRUE)
Arguments
MB
A MultiBlock object for which prediction is desired.
y
An y block to calculate DQ2 in ComDim-PLS and ComDim-OPLS models (optional).
model
The ComDim model used for prediction.
normalise
To apply normalisation. FALSE == no (default), TRUE == yes.
loquace
If TRUE, it returns a message with the ComDim elements to be predicted (i.e. Q.scores, T.scores...)
Value
A ComDim object.
f-puig/R.ComDim documentation built on Feb. 20, 2024, 6:49 a.m.
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| Predict_MB | R Documentation |
ComDim - Finding common dimensions in multi-block datasets
Description
Predict_MB applies an existent ComDim model to a MultiBlock object.
Usage
Predict_MB(MB = MB, y, model = model, normalise = FALSE, loquace = TRUE)
Arguments
MB |
A MultiBlock object for which prediction is desired. |
y |
An y block to calculate DQ2 in ComDim-PLS and ComDim-OPLS models (optional). |
model |
The ComDim model used for prediction. |
normalise |
To apply normalisation. FALSE == no (default), TRUE == yes. |
loquace |
If TRUE, it returns a message with the ComDim elements to be predicted (i.e. Q.scores, T.scores...) |
Value
A ComDim object.
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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