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# CITATION.cff 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 "POCRE" in publications use:'
type: software
license: GPL-2.0-only
title: 'POCRE: Penalized Orthogonal-Components Regression'
version: 0.6.0
doi: 10.32614/CRAN.package.POCRE
abstract: Penalized orthogonal-components regression (POCRE) is a supervised dimension
  reduction method for high-dimensional data. It sequentially constructs orthogonal
  components (with selected features) which are maximally correlated to the response
  residuals. POCRE can also construct common components for multiple responses and
  thus build up latent-variable models.
authors:
- family-names: Zhang
  given-names: Dabao
  email: zhangdb@purdue.edu
- family-names: Jiang
  given-names: Zhongli
- family-names: Zhang
  given-names: Zeyu
- family-names: Chen
  given-names: Yu-ting
repository: https://cranhaven.r-universe.dev
commit: 85b64b199a5a1f60787bc9166adea71722dea63e
date-released: '2022-03-15'
contact:
- family-names: Zhang
  given-names: Dabao
  email: zhangdb@purdue.edu