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https://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/statug_pls_sect006.htm
DATA=SAS-data-set. names the SAS data set to be used by PROC PLS. The default is the most recently created data set. DETAILS . lists the details of the fitted model for each successive factor. The details listed are different for different extraction methods; see the section Displayed Output for more information. METHOD=PLS <( PLS-options ...
https://support.sas.com/documentation/onlinedoc/stat/131/pls.pdf
• partial least squares regression, which balances the two objectives of explaining response variation and explaining predictor variation. Two different formulations for partial least squares are available: the original predictive method ofWold(1966) and the SIMPLS method ofde Jong(1993). The number of factors to extract depends on the data.
https://communities.sas.com/t5/Statistical-Procedures/proc-PLS/td-p/162858
The relationship between the Y variables can be easily done with PROC PLS. Example 70.1 in the documentation is a good starting point. Think of the X variables as defining a response surface on which Y1 through Y9 are measured.
https://communities.sas.com/t5/Statistical-Procedures/PROC-PLS-Error-Invalid-group-number/td-p/619118
Programming the statistical procedures from SAS Join Now. Turn on suggestions. Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type. Showing results for Search instead for ...
http://documentation.sas.com/?docsetId=statug&docsetTarget=statug_pls_syntax01.htm&docsetVersion=14.2&locale=en
DATA= SAS-data-set. names the SAS data set to be used by PROC PLS. The default is the most recently created data set. DETAILS lists the details of the fitted model for each successive factor. The details listed are different for different extraction methods; for …
https://documentation.sas.com/?docsetId=statug&docsetTarget=statug_pls_examples.htm%3Flocale&docsetVersion=14.2
Introduction to Statistical Modeling with SAS/STAT Software Tree level 1. Node 4 of 127 Node 4 of 127 Introduction to Regression Procedures Tree level 1.
http://www.math.wpi.edu/saspdf/stat/chap51.pdf
Chapter 51 The PLS Procedure Overview The PLS procedure fits models using any one of a number of linear predictive meth-ods, including partial least squares (PLS). Ordinary least squares regression, as im-plemented in SAS/STAT procedures such as PROC GLM and PROC REG, has the
http://proc-x.com/2013/12/proc-pls-and-multicollinearity/
Dec 10, 2013 · PLS and PCR are both dimension reduction methods that eliminate multicollinearity. The difference is that PLS also implements the response variable to select the new components. PLS is particularly useful in answering questions with multiple response variables. The PLS procedure in SAS is a
http://proc-x.com/2017/10/principal-component-regression-in-sas/
Oct 23, 2017 · Use PROC PLS for principal component regression. I recommend using the PLS procedure to compute a principal component regression in SAS. As mentioned previously, you need to use the METHOD=PCR and NFAC= options. The following data for 31 men at a fitness center is from the documentation for PROC REG. The goal of the study is to predict oxygen ...
https://www.sas.com/content/dam/SAS/en_ca/User%20Group%20Presentations/TASS/Cai-PLSRegression.pdf
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