Ok, I have looked at the code. The output text in the listing seems correct but 
perhaps I should have used more words. Both are through the origin. The first 
just uses the raw Procrustes distances and the second, as it says, uses 
distances from the reference.  Both seem reasonable statistics but I would 
prefer the first as a more absolute measure of fit because one knows that 
distances cannot be negative. That is why I gave it first.Sorry about my 
initial a answer from sea where I could not check and it has been quite a while 
since I last thought about that program. __________________F. James Rohlf, 
Distinguished Prof. Emeritus Dept. Anthropology and Ecology & Evolution 
Stonybrook University
-------- Original message --------From: Anneke van Heteren 
<[email protected]> Date: 5/18/22  12:18 PM  (GMT+09:30) To: "F. James 
Rohlf" <[email protected]> Cc: andrea cardini <[email protected]>, 
Morphmet2 <[email protected]> Subject: Re: [MORPHMET2] tpsSmall Dear 
James,Thank you very much for your explanation. I am still a little bit 
confused though. Both regressions claim to be uncentered and through the origin 
(see attachment). So which one is which? Is the top one centered and through 
the means and the bottom one through the origin? Or the other way around?Thank 
you in advance.Best regards,AnnekeOp wo 18 mei 2022 om 03:22 schreef F. James 
Rohlf <[email protected]>:The two regression lines are: the usual 
centered regression through the means and an uncensored regression through the 
origin that makes more sense for distances that cannot be negative. Often hard 
to see the difference when the correlation is very high. No test intended. Was 
just intended to indicate how confidently you could use a tangent space 
approximation rather than more complex methods.__________________F. James 
Rohlf, Distinguished Prof. Emeritus Dept. Anthropology and Ecology & Evolution 
Stonybrook University-------- Original message --------From: andrea cardini 
<[email protected]> Date: 5/17/22  10:18 PM  (GMT+09:30) To: Anneke van 
Heteren <[email protected]>, Morphmet2 <[email protected]> 
Subject: Re: [MORPHMET2] tpsSmall Hi Anneke,Jim will answer, I am sure, if he's 
not away.If I get your question right, I think that the two regressions have 
always been there:- One is shape distances computed pairwise in your sample 
(Procrustes vs tangent space): with 10 individuals, you'll have 10*9/2=45 
distances.- The other one is the distance of each individual to the sample 
mean, i.e. with N=10 the corresponding 10 distances.It's two ways of looking 
whether the approximation in the tg space is good. In my experience they 
produce highly congruent results. With the second approach, however, it might 
be easier to spot if one or a few individuals are strong outliers, and to be 
able to say which they are. I am not advising this as a method to detect 
outliers but it's something you'll see in some cases and maybe realize that 
there's a problem with some individuals. For outliers, I use multiple 
strategies.CheersAndreaOn 16/05/2022 09:23, Anneke van Heteren wrote:> Dear 
friends and colleagues,> > I have a question regarding the report of tpsSmall. 
When doing an analysis,> the report displays two regression outputs with 
different slopes,> correlations and root MS errors (see attached for a simple 
example). Other> than those numbers, they are accompanied by the same text and 
I cannot tell> the difference. I do not remember it being like that before and 
the sample> report in the help file also only shows one regression output. I 
would very> much appreciate it if somebody could enlighten me on what both 
these> regressions mean and what their differences are.> Thank you in advance.> 
> Best regards,> > Anneke van Heteren> -- Dr. Andrea CardiniResearcher, 
Dipartimento di Scienze Chimiche e Geologiche, Università di Modena e Reggio 
Emilia, Via Campi, 103 - 41125 Modena - Italytel. 0039 059 4223140Adjunct 
Associate Professor, Centre for Forensic Anthropology, The University of 
Western Australia, 35 Stirling Highway, Crawley WA 6009, AustraliaE-mail 
address: [email protected], [email protected]: 
https://sites.google.com/view/alcardini2/or https://tinyurl.com/andreacardini-- 
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