Hello all:
Report of non-positive definiteness or negative eigenvalues, are reported 
during the analysis of the R matrix (decomposition and inversion), which occurs 
before the correlation matrix is constructed.    Often, this is caused by 
numerical imprecision.  If the R matrix step fails, the $COV step fails to 
produce a final variance-covariance matrix, and of course, does not produce a 
correlation matrix.  If the R matrix inversion step succeeds, the 
variance-covariance matrix and its correlation matrix are produced, and the 
correlation matrix is then assessed for its eigenvalues.  So, both the R matrix 
(first step) and correlation matrix (second step) are decomposed and assessed.

Robert J. Bauer, Ph.D.
Senior Director
Pharmacometrics R&D
ICON Early Phase
731 Arbor way, suite 100
Blue Bell, PA 19422
Office: (215) 616-6428
Mobile: (925) 286-0769
robert.ba...@iconplc.com<mailto:robert.ba...@iconplc.com>
www.iconplc.com<http://www.iconplc.com/>
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ICON plc made the following annotations.
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