Extract Sparse Loadings from a fitted "abesspca" object.

This function provides estimated coefficients from a fitted "abesspca" object.

# S3 method for class 'abesspca'
coef(object, support.size = NULL, kpc = NULL, sparse = TRUE, ...)

Arguments

object

An "abesspca" project.

support.size

An integer vector specifies the coefficient fitted at given support.size. If support.size = NULL, then all coefficients would be returned. Default: support.size = NULL. This parameter is omitted if sparse.type = "kpc".

kpc

An integer vector specifies the coefficient fitted at given principal component. If kpc = NULL, then all coefficients would be returned. Default: kpc = NULL. This parameter is omitted if sparse.type = "fpc".

sparse

A logical value, specifying whether the coefficients should be presented as sparse matrix or not. Default: sparse = TRUE.

...

Other arguments.

Value

A matrix with length(support.size) columns. Each column corresponds to a sparse loading for the first principal component, where the number of non-zeros entries depends on the support.size.

See also

print.abesspca, coef.abesspca, plot.abesspca.