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Hi All,
Does anyone know of any good starting to points to learn Partial Least Squares Regression? Examples and documentation ideally Many thanks Mike |
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Hi Mike,
this paper might be helpful: http://www.utdallas.edu/~herve/Abdi-PLS-pretty.pdf Regards, Robinson ---------------------------------------------------------------- Felix-Robinson Aschoff Information Management Research Group Department of Informatics University of Zurich Binzmuehlestrasse 14 CH-8050 Zurich, Switzerland E-Mail: [hidden email] Phone: +41 (0)44 635 6690 Fax: +41 (0)44 635 6809 Room: 2.D.11 http://www.ifi.unizh.ch/im Michael Pearmain <[hidden email]> Sent by: "SPSSX(r) Discussion" <[hidden email]> 18.07.2007 10:16 Please respond to Michael Pearmain <[hidden email]> To [hidden email] cc Subject PLS Hi All, Does anyone know of any good starting to points to learn Partial Least Squares Regression? Examples and documentation ideally Many thanks Mike |
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In reply to this post by Mike P-5
Hi Michael
Perhaps this is not exactly the answer that you expected, but, have you tried Googling "Partial Least Squares Regression"? I got a bunch of promising links a few minutes ago when I tried... Regards, Marta Garcia-Granero > Hi All, > > Does anyone know of any good starting to points to learn Partial Least > Squares Regression? Examples and documentation ideally > |
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In reply to this post by Mike P-5
The StatSoft textbook at
<http://www.statsoft.com/textbook/stathome.html> has an entry on Partial Least Squares. And the SAS institute has some information at <http://support.sas.com/rnd/app/da/new/dapls.html> with links to some additional documents. Both of these links show up in the top ten results of a Google search. hth, Dan R. Michael Pearmain wrote: > Hi All, > > Does anyone know of any good starting to points to learn Partial Least > Squares Regression? Examples and documentation ideally > > Many thanks > > Mike > > -- Daniel Robertson Senior Research and Planning Associate Institutional Research and Planning Cornell University, Ithaca NY 14853-2801 607.255.9642 / irp.cornell.edu |
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In reply to this post by Mike P-5
If you have access to backissues of Technometrics,
there's a nice article by Frank and Friedman on PLS and related approaches: Frank, Ildiko and Friedman, Jerome. 1993. "A Statistical View of Some Chemometrics Regression Tools." Technometrics, Vol. 35, No. 2, pp. 109-135. This paper also has several discussants. This is the same Jerome Friedman who has been a collaborator in the development of CART, MARS, MART, and other modern techniques. -----Original Message----- From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Michael Pearmain Sent: Wednesday, July 18, 2007 3:17 AM To: [hidden email] Subject: PLS Hi All, Does anyone know of any good starting to points to learn Partial Least Squares Regression? Examples and documentation ideally Many thanks Mike |
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In reply to this post by aschoff
Dear list members,
We are facing a complicated SPSS problem and are looking for a clean solution. In a current study we are dealing with itineraries people run with a certain frequency (i.e. going to work and back every working day). Itineraries consist of a maximum of 12 steps (Step 1: 10km on road x, Step 2: 20km on road y, ) and are each described by the following variables: A) Is the step done in the investigated area (yes/no). B) To which zone of the investigated area does it belong (1-16) C) Type of road being used (1-3; like i.e. Highway, Country-road ) D) What road is being used? (1-50; i.e. A26, EN778, ) E) Distance covered on that road (numeric) We need to 1) Identify the Most important step defined as largest distance with highest frequency (frequency is equal for all 12 steps of an itinerary) 2) Return the values of zone (Var B) and type (Var C) of the selected step to 2 output variables (O1 and O2). We guess this should be easy with the aid of a macro but unfortunately I dont know much about them. Thanks for your advice! Víctor Tarragó [hidden email] |
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