IDEAS home Printed from https://ideas.repec.org/p/cte/wsrepe/10346.html
   My bibliography  Save this paper

A fast method to compute orthogonal loadings partial least squares

Author

Listed:
  • Goutis, Constantinos

Abstract

\Ve give a computationally fast method for the orthogonal loadings partial least squares. Our algorithm avoids the multiple regression computations at each step and yields identical scores and loadings to the usual method. We give a proof of the equivalence to the standard algorithm. "Ve discuss briefiy the computational advantages over both orthogonal scores and orthogonal loadings partial least squares.

Suggested Citation

  • Goutis, Constantinos, 1995. "A fast method to compute orthogonal loadings partial least squares," DES - Working Papers. Statistics and Econometrics. WS 10346, Universidad Carlos III de Madrid. Departamento de Estadística.
  • Handle: RePEc:cte:wsrepe:10346
    as

    Download full text from publisher

    File URL: https://e-archivo.uc3m.es/rest/api/core/bitstreams/eb453b63-542c-474e-a9dd-6c698a00ac44/content
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Bilinear forms;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cte:wsrepe:10346. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ana Poveda (email available below). General contact details of provider: http://portal.uc3m.es/portal/page/portal/dpto_estadistica .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.