## Abstract We propose a new data compression method for estimating optimal latent variables in multiβvariate classification and regression problems where more than one response variable is available. The latent variables are found according to a common innovative principle combining PLS methodolog
β¦ LIBER β¦
Canonical partial least squares and continuum power regression
β Scribed by Sijmen de Jong; Barry M. Wise; N. Lawrence Ricker
- Publisher
- John Wiley and Sons
- Year
- 2000
- Tongue
- English
- Weight
- 129 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0886-9383
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