The Comparison of Prediction Ability for Partial Least Squares, Principal Components Regression, Ridge Regression, and Forward Variable Selection.
碩士 === 國立中興大學 === 農藝學系 === 91 === It is possible to deal with several explanatory variables simultaneously in data analysis. The simplest way is to use multiple linear regression (MLR) when more than one variable is employed. However, collinearities among variables somtimes make regression estimates...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2003
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| Online Access: | http://ndltd.ncl.edu.tw/handle/46061049874078465636 |