Efectivity of Additive Spline for Partial Least Square Method in Regression Model Estimation
Additive Spline of Partial Least Square method (ASPL) as one generalization of Partial Least Square (PLS) method. ASPLS method can be acommodation to non linear and multicollinearity case of predictor variables. As a principle, The ASPLS method approach is cahracterized by two idea. The first is to...
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| Format: | Article |
| Language: | English |
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Universitas Indonesia
2005-04-01
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| Series: | Makara Seri Sains |
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| Online Access: | http://journal.ui.ac.id/science/article/viewFile/477/473 |
| Summary: | Additive Spline of Partial Least Square method (ASPL) as one generalization of Partial Least Square (PLS) method. ASPLS method can be acommodation to non linear and multicollinearity case of predictor variables. As a principle, The ASPLS method approach is cahracterized by two idea. The first is to used parametric transformations of predictors by spline function; the second is to make ASPLS components mutually uncorrelated, to preserve properties of the linear PLS components. The performance of ASPLS compared with other PLS method is illustrated with the fisher economic application especially the tuna fish production. |
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| ISSN: | 1693-6671 |