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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "RECA" in publications use:'
type: software
license: GPL-3.0-only
title: 'RECA: Relevant Component Analysis for Supervised Distance Metric Learning'
version: '1.7'
doi: 10.32614/CRAN.package.RECA
abstract: 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.
authors:
- family-names: Xiao
  given-names: Nan
  email: me@nanx.me
  orcid: https://orcid.org/0000-0002-0250-5673
repository: https://nanxstats.r-universe.dev
repository-code: https://github.com/nanxstats/RECA
commit: bd22f37e740e5d1f715cecb4371145f889b71ac8
url: https://nanx.me/RECA/
contact:
- family-names: Xiao
  given-names: Nan
  email: me@nanx.me
  orcid: https://orcid.org/0000-0002-0250-5673