Correlated Component PLS-type Regression with variable selection feature for large datasets

Laura Trinchera; Arthur Tenenhaus; V. Esposito Vinzi; Michel Tenenhaus

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Correlated Component PLS-type Regression with variable selection feature for large datasets

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1

Laura Trinchera

Function : Author

Supélec Sciences des Systèmes

Arthur Tenenhaus

Function : Author
PersonId : 736979
IdHAL : arthur-tenenhaus
ORCID : 0000-0003-3459-1518
IdRef : 115337822

Supélec Sciences des Systèmes

V. Esposito Vinzi

Function : Author

Michel Tenenhaus

Function : Author

Domains

Statistics [math.ST] Statistics Theory [stat.TH] Methodology [stat.ME]

Karine El Rassi : Connect in order to contact the contributor

https://hal-centralesupelec.archives-ouvertes.fr/hal-00528664

Submitted on : Friday, October 22, 2010-11:43:08 AM

Last modification on : Tuesday, February 14, 2023-3:36:25 AM

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hal-00528664 , version 1 (22-10-2010)

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HAL Id : hal-00528664 , version 1

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Laura Trinchera, Arthur Tenenhaus, V. Esposito Vinzi, Michel Tenenhaus. Correlated Component PLS-type Regression with variable selection feature for large datasets. 3rd International Conference of the European Research Consortium for Informatics and Mathematics (ERCIM'10), 2010, Londres, United Kingdom. ⟨hal-00528664⟩

Correlated Component PLS-type Regression with variable selection feature for large datasets

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