Talk:Partial least squares regression

message: Please add a paragraph explaining what it is/how it works without using "math jargon" (e.g. "hyperplanes of maximum variance"). Something for a first year University student (beginning calculus) would probably be about the level to aim for. -- 22:45, 20 December 2006 (UTC)
replies: text: 18 mths on that hasn't happened. I too came here looking for information and just found jargon. Message to the folks who write these pages : If the average reader knew all the fancy words, he/she wouldn't be coming to Wikipedia for the answers. So as the guy above says, aim the article at an inquisitive reasonably-intelligent beginner level. Otherwise the exercise is pointless. Rcbutcher (talk) 09:11, 16 August 2008 (UTC)

text: Not to belabor this point, but this page is totally incomprehensible for the lay person.  Wikipedia should read like an encyclopedia, not a graduate level math text.
Obviously it should have said "minimum variance"; I've fixed it.  In one sense this is a relatively low-priority topic.  The article suffers various other deficiencies as well, which would have been corrected otherwise. Michael Hardy (talk) 17:30, 16 August 2008 (UTC)
thread_title: Technical

message: The method seems to be more commonly called partial least squares in some communities than the alternative projection to latent structure so I have made a modification accordingly.  Neither my edit nor the one it altered has a good citation.  In my case, I am modifying it based on the standard in play in neuroimaging where it is routinely called partial least squares it is not clear what one would reference for something like this. 128.200.240.175 23:09, 26 July 2007 (UTC)
thread_title:  Name of the method? 

message: We just ended a conference on PLS 9 Sept 2007. 
This is a major and large field of experimental, theoretical and applied statistics/mathematics. Then upon request, I was asked to check this page and I realize there is a great deal more to be said in about this. Just some momentary thoughts:
# Aka. "PLS" and a number of variations: LPLS, PLS-PM, PLS..etc etc...
# Missing initial and serious references on the topic
# Mathematical background with some simple derivations and examples
# more more...
—Preceding unsigned comment added by Jahibadkaret (talk • contribs) 17:40, 11 September 2007 (UTC)
thread_title:  This page or reference is lacking a large quantity of information 

message: The statement "T is orthonormal matrix " is wrong, as T is a vector !
I implemented the algorithm and it does not work, maybe I made a mistake. Can anybody give a reference to its origin ?
There are lots of PLS algorithms, but I've nevern seen this one.
Found another error:
If I start the PLS1 algorithm with y = (-1,0,1) then, T1 = (1/3, 1/3, 1/3) and q1 = 0 which breaks the loop indepenednt of X.
Further: T0 is initalized, but T1 is never constructed, it just appears in line 5.
 —Preceding unsigned comment added by Rocksportrocker (talk • contribs) 15:02, 28 November 2008 (UTC)
thread_title:  described algorithm wrong ? 

message: Adding to the previous comment, i'm quite surprised the article mention that X=Y.B+B0, shouldn't it be Y=X.B+B0 ?  —Preceding unsigned comment added by 82.225.154.2 (talk) 23:23, 21 May 2009 (UTC)
replies: text: It definitely needs more work. Shyamal (talk) 04:28, 22 May 2009 (UTC)
thread_title:  has anyone validated the content ? 

message: Akila  —Preceding unsigned comment added by 122.164.59.184 (talk) 06:18, 15 December 2009 (UTC)
thread_title:  Akila 

message: The subsection "Partial Least Squares SVD" is fairly vague and points to a single reference: "Susceptibility of brain atrophy to TRIB3 [...]". This reference is only tangentially related to PLS: it applies the method without new methodological development. For this reason, it should be complemented with statistical papers that actually describe PLS-SVD. More importantly, upon reading the reference, I saw that the "PLS-SVD" used there is nothing else than PLS correlation (PLSC). This is clearly stated towards the end  in the section "Statistical discovery": "Among the several PLS versions proposed in the literature, we focus on the symmetric formulation of PLS computed through the singular value decomposition of the cross-covariance matrix." 
Accordingly, I propose to: 
1) Move the content of the subsection "Partial Least Squares SVD" to "PLS Correlation".
2) Delete the subsection "Partial Least Squares SVD".
3) Add relevant references to the methodology of PLSC. For example, "Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review" and other items from the references list. Nakatasatoru (talk) 20:59, 29 November 2023 (UTC)
thread_title:  Merge subsection "Partial Least Squares SVD" with "PLS Correlation"?  

message: It doesn't state how the two equations listed are related to each other. Later it does state that X and Y are decomposed such that there is maximum covariance between U and T, but it doesn't seem like that statement is enough. I feel like it should also include an equation like U = RT, with a definition for R. 140.141.192.46 (talk) 01:44, 8 February 2024 (UTC)
thread_title:  Are the equations in the "underlying model" section complete?