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Olanike
Fluorite | Level 6

Hello, I am running a Proc PLS to find the correlation between my dependent and independent variables, e.g Yield vs MinT MaxT. I am confused as to which  of the tables tells me the percentage of my variables (min T and Max T combined and separately) that explained yield.  My model was fine and below are some of my results.

 

Please how do I get the percentage of yield explained by a combination of  MinT and MaxT

 

 

 

The PLS Procedure

 
SC=DRY    
Percent Variation Accounted for by Partial Least Squares Factors
Number of Extracted FactorsModel EffectsDependent Variables
CurrentTotalCurrentTotal
140.022840.02284.7494.749
259.97721000.00974.7587

 

 

 

 
SC=DRY 
Model Effect Loadings 
Number of Extracted FactorsMinTMaxT 
10.583192-0.81234 
20.7789050.627142 
    
Model Effect Weights
Number of Extracted FactorsMinTMaxTInner Regression Coefficients
10.628099-0.780090.243576
20.7789050.6271420.008972
    
Dependent Variable Weights  
Number of Extracted FactorsWheat_Y  
11  
21  

 

 

 

1 ACCEPTED SOLUTION

Accepted Solutions
PaigeMiller
Diamond | Level 26

PLS creates dimensions (sometimes called "factors" or "latent factors") which are used to predict Y. So, dimension 1 (which consists of a weighted combination of both minT and maxT) explains 4.749 percent of the Y variability, and dimension 2 (which consists of a weighted combination of both minT and maxT) explains another 0.0097% of the variability of Y. So I think the answer to your exact question "Please how do I get the percentage of yield explained by a combination of  MinT and MaxT" is given by this number, but you have to decide if you want to use one dimension, or two dimensions. 

 

You can obtain information that a certain percent of the variability of minT is used in dimension 1, and additional percent of variability of minT is used in dimension 2 (same is possible for maxT). You would add the VARSS option to the PROC PLS statement.

 

https://documentation.sas.com/?cdcId=pgmmvacdc&cdcVersion=9.4&docsetId=statug&docsetTarget=statug_pl...

--
Paige Miller

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2 REPLIES 2
PaigeMiller
Diamond | Level 26

PLS creates dimensions (sometimes called "factors" or "latent factors") which are used to predict Y. So, dimension 1 (which consists of a weighted combination of both minT and maxT) explains 4.749 percent of the Y variability, and dimension 2 (which consists of a weighted combination of both minT and maxT) explains another 0.0097% of the variability of Y. So I think the answer to your exact question "Please how do I get the percentage of yield explained by a combination of  MinT and MaxT" is given by this number, but you have to decide if you want to use one dimension, or two dimensions. 

 

You can obtain information that a certain percent of the variability of minT is used in dimension 1, and additional percent of variability of minT is used in dimension 2 (same is possible for maxT). You would add the VARSS option to the PROC PLS statement.

 

https://documentation.sas.com/?cdcId=pgmmvacdc&cdcVersion=9.4&docsetId=statug&docsetTarget=statug_pl...

--
Paige Miller
Olanike
Fluorite | Level 6
Thank you for the response.

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