Ridge regression (RR) and principal component regression (PCR) are two popular methods intended to overcome the problem of multicollinearity which arises with spectral data. The present study compares the performances of RR and PCR in addition to ordinary least squares (OLS) and partial least square
Principal component regression analysis with spss
โ Scribed by R.X. Liu; J. Kuang; Q. Gong; X.L. Hou
- Book ID
- 114175360
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 189 KB
- Volume
- 71
- Category
- Article
- ISSN
- 0169-2607
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