[R] reduced major axis regression

Martin Henry H. Stevens HStevens at muohio.edu
Thu Mar 28 20:27:56 CET 2002

With the help of J. Baron's search engine, I found an old thread on reduced 
major axis regression (see below). Prior to my creating a really awkward 
function to accomplish RMA regression, I was wondering if anyone might 
clarify Dr. Ripley's casual comments below.

On Fri, 4 Feb 2000, Pete St. Onge wrote:
 > understanding in the latter is that it minimizes the squares of both the
 > horizontal and vertical distances from the regression line, and thus do not
 > impart any particular 'accuracy' to the predictor variable. ....
Ripley wrote:
...The sum of squares
of horizontal and vertical distances i just Euclidean distance^2 to the
projection on to the line, so this is just PCA. Use princomp and
take the first principal component.

****My question...take and do what with it?
thanks very much,

Martin Henry H. Stevens, Assistant Professor
338 Pearson Hall
Botany Department
Miami University
Oxford, OH 45056

Tel: (513) 529-4206
FAX: (513) 529-4243

r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
Send "info", "help", or "[un]subscribe"
(in the "body", not the subject !)  To: r-help-request at stat.math.ethz.ch

More information about the R-help mailing list