Condition number

Hello Ken: I am quite unaware that some eigenvalues of a properly positive-definite verified variance-covariance from a pure R matrix would be negative, or that this would even occur for its correlation matrix. Similarly, if the variance-covariance form is of sandwich form, such as (Rinv)S(Rinv), if there components (R, S) were each verified to be positive definite, then it, and its correlation matrix would necessarily have all positive eigenvalues. I would need to see your NONMEM result file to understand why this would happen. Is the negative eigenvalues very small but negative? (such as 10^-15, or something like that). 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 [email protected]<mailto:[email protected]> http://www.iconplc.com/