Principal component regression in NIR analysis: Viewpoints, background details and selection of components

Journal of Chemometrics - Tập 2 Số 2 - Trang 155-167 - 1988
Tormod Næs1, Harald Martens2
1Norwegian Food Research Institute, Box 50, 1432 ås-NLH, Norway
2Norwegian Computing Centre, Forskningsvegen 1b, Oslo 3, Norway

Tóm tắt

AbstractIn this paper we present formulae for prediction error related to principal component regression (PCR). The difference between PCR and ordinary least‐squares (LS) regression is discussed in relation to these formulae. This discussion is used as a basis for a treatment of PCR in NIR analysis. The theory is illustrated by two examples from NIR analysis.

Từ khóa


Tài liệu tham khảo

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Thông tin
Thông tin xuất bản

Journal of Chemometrics

Tập 2 Số 2

155-167

Thông tin tác giả