Project one or more samples onto a subspace. This function takes a model fit and new observations, and projects them onto the subspace defined by the model. This allows for the transformation of new data into the same lower-dimensional space as the original data.
project(x, new_data, ...)A matrix or vector of the projected observations, where rows represent observations and columns represent the lower-dimensional space
The model fit, typically an object of class bi_projector or any other class that implements a project method
A matrix or vector of new observations with the same number of columns as the original data. Rows represent observations and columns represent variables
Extra arguments to be passed to the specific project method for the object's class
bi_projector for an example of a class that implements a project method
Other project:
project.cross_projector(),
project_block(),
project_vars()
# Example with the bi_projector class
X <- matrix(rnorm(10*20), 10, 20)
svdfit <- svd(X)
p <- bi_projector(svdfit$v, s = svdfit$u %% diag(svdfit$d), sdev=svdfit$d)
# Project new_data onto the same subspace as the original data
new_data <- matrix(rnorm(5*20), 5, 20)
projected_data <- project(p, new_data)
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