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Sparse partial least squares regression for simultaneous dimension reduction and variable selection
Partial least squares regression has been an alternative to ordinary least squares for handling multicollinearity in several areas of scientific research since the 1960s. It has recently gained much attention in the analysis of high dimensional genomic data. We show that known asymptotic consistency...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Blackwell Publishing Ltd
2010
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2810828/ https://www.ncbi.nlm.nih.gov/pubmed/20107611 http://dx.doi.org/10.1111/j.1467-9868.2009.00723.x |