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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2003.6
- 수록면
- 355 - 366 (12page)
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초록· 키워드
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A unified procedure for principal component regression (PCR), partial least squares (PLS) and ordinary least squares (OLS) is proposed. The process gives solutions for PCR, PLS and OLS in a unified and non-iterative way. This enables us to see the interrelationships among the three regression coefficient vectors, and it is seen that the so-called E-matrix in the solution expression plays the key role in differentiating the methods. In addition to setting out the procedure, the paper also supplies a robust numerical algorithm for its implementation, which is used to show how the procedure performs on a real world data set.
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UCI(KEPA) : I410-ECN-0101-2018-041-001391088