Package: RECA
Title: Relevant Component Analysis for Supervised Distance Metric
        Learning
Version: 1.7.1
Authors@R: c(
    person("Nan", "Xiao", email = "me@nanx.me", role = c("aut", "cre", "cph"),
    comment = c(ORCID = "0000-0002-0250-5673")))
Description: Relevant Component Analysis (RCA) tries to find a linear
        transformation of the feature space such that the effect of
        irrelevant variability is reduced in the transformed space.
License: GPL (>= 3)
URL: https://nanx.me/RECA/, https://github.com/nanxstats/RECA
BugReports: https://github.com/nanxstats/RECA/issues
Suggests: MASS
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Repository: https://nanxstats.r-universe.dev
Date/Publication: 2025-07-30 22:52:38 UTC
RemoteUrl: https://github.com/nanxstats/reca
RemoteRef: HEAD
RemoteSha: 2b94f556c57582fde498e4a04c03ab54b7876ddc
NeedsCompilation: no
Packaged: 2026-05-26 08:11:45 UTC; root
Author: Nan Xiao [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0002-0250-5673>)
Maintainer: Nan Xiao <me@nanx.me>