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Volumn 26, Issue 7, 2012, Pages 384-389

Quadratic PLS1 regression revisited

Author keywords

Algorithm; Convergence; Quadratic PLS

Indexed keywords

CONVERGENCE; LEAST-SQUARES REGRESSION APPROACH; ORIGINAL ALGORITHMS; PARTIAL LEAST SQUARE REGRESSION; PARTIAL LEAST-SQUARES; QUADRATIC PARTIAL LEAST SQUARE;

EID: 84863780309     PISSN: 08869383     EISSN: 1099128X     Source Type: Journal    
DOI: 10.1002/cem.2447     Document Type: Article
Times cited : (5)

References (6)
  • 1
    • 0038259120 scopus 로고    scopus 로고
    • Kernel partial least squares regression in reproducing kernel Hilbert space
    • Rosipal R, Trejo LJ. Kernel partial least squares regression in reproducing kernel Hilbert space. J. Mach. Learn. Res. 2001; 2: 97-123.
    • (2001) J. Mach. Learn. Res. , vol.2 , pp. 97-123
    • Rosipal, R.1    Trejo, L.J.2
  • 2
    • 0033611717 scopus 로고    scopus 로고
    • Non-linear projection to latent structures revisited: the quadratic PLS algorithm
    • Baffi G, Martin EB, Morris AJ. Non-linear projection to latent structures revisited: the quadratic PLS algorithm. Comput. Chem. Eng. 1999; 23(3): 395-411.
    • (1999) Comput. Chem. Eng. , vol.23 , Issue.3 , pp. 395-411
    • Baffi, G.1    Martin, E.B.2    Morris, A.J.3
  • 4
    • 0000093459 scopus 로고
    • Quadratic PLS regression
    • Höskuldsson A. Quadratic PLS regression. J. Chemom. 1992; 6(6): 307-334.
    • (1992) J. Chemom. , vol.6 , Issue.6 , pp. 307-334
    • Höskuldsson, A.1
  • 5
    • 84863304598 scopus 로고    scopus 로고
    • R Development Core Team. R Foundation for Statistical Computing: Vienna, Austria
    • R Development Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing: Vienna, Austria, 2011.
    • (2011) R: A Language and Environment for Statistical Computing


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.