I can’t help you with PAST, but this reference will allow you to compute the 
correct statistics for a standardized major axis (often erroneously called a 
reduced major axis) regression.

Warton, D. I., et al., 2006, Bivariate line-fitting methods for allometry: 
Biological Reviews, v. 81, no. 2, p. 259–291.

Norm MacLeod



> On 12 Mar 2016, at 14:49, Patrick Arnold <[email protected]> wrote:
> 
> Dear morphometrics,
> 
> I am frequently using PAST (paleontological statistics; what a great free 
> software) for the analysis of morphometric data (geometric and traditional). 
> Now I want to do a reduced major axis regression on bivariate data (only one 
> Y for each X). However, I do not found the possibility to perform a 
> significance test for the regression (F statistics) or for the slope and 
> intercept (t statistics).
> It is provided for least square regression (e.g., under polynomial option) 
> but not for model II regression. Does anyone know a possibility to obtain 
> regression statistics in PAST for model II regressions?
> Thanks in advance.
> 
> Cheers
> Patrick
> 
> 
> -- 
> Patrick Arnold, M.Sc.
> 
> wissenschaftlicher Mitarbeiter und Doktorand
> Institut für Spezielle Zoologie und Evolutionsbiologie
> mit Phyletischem Museum
> Friedrich-Schiller-Universität Jena
> Erbertstraße 1
> 07743 Jena
> Germany
> 
> Phone:  +49 (0)3641 9-49165
> Fax:    +49 (0)3641 9-49142
> E-mail: [email protected]
> 
> -- 
> MORPHMET may be accessed via its webpage at http://www.morphometrics.org
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_____________________________________________________

Professor Norman MacLeod
Dean of Postgraduate Education and Training
The Natural History Museum, Cromwell Road, London, SW7 5BD
(0)207 942-5204 (Office Landline)
(0)785 017-1787 (Mobile)
http://www.nhm.ac.uk/hosted_sites/paleonet/MacLeod/

Department of Earth Sciences, University College
London, Gower Street, London WC1E 6BT, UK

Nanjing Institute of Geology & Palaeontology,
Chinese Academy of Sciences, 39 Beijing, Donglu, Nanjing, China
_____________________________________________________








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