project_vars {multivarious} | R Documentation |
Project one or more variables onto a subspace
Description
This function projects one or more variables onto a subspace. It is often called supplementary variable projection and can be computed for a biorthogonal decomposition, such as Singular Value Decomposition (SVD).
Usage
project_vars(x, new_data, ...)
Arguments
x |
The model fit, typically an object of a class that implements a |
new_data |
A matrix or vector of new observation(s) with the same number of rows as the original data |
... |
Additional arguments passed to the underlying |
Value
A matrix or vector of the projected variables in the subspace
See Also
project
for the generic projection function for samples
Other project:
project()
,
project.cross_projector()
,
project_block()
[Package multivarious version 0.2.0 Index]