Weighting observations

Dear NMusers, I am modelling the effect of a given intervention on a multimodal outcome (ex. PK of a parent drug and its metabolites or effect of a given drug on the blood pressure, heart rate and urine output). For each observed variable I can define an observation compartment and model the error. This works fine. However, for some physiological reasons, I may want to give more weight to on an observed variable which I believe to be the driving force. How can I do this in NONMEM? Duplicating the observation of interest in my model would be one possibility however this would increase the run time which is already very long. Many thanks in advance. Robert ______________________________________________ Robert, Kalicki, Dr. med. OA Neph INSELSPITAL, Universitätsspital Bern DURN Klinik und Poliklinik für Nephrologie, Hypertonie und Klinische Pharmakologie Freiburgstrasse 15, KiKl, G, 524 3010 Bern Telefon: +41 (0)31 632 31 44 Mobile: +41 (0)79 239 98 79 Fax: +41 (0)31 632 97 34 E-Mail: <mailto:[email protected]> [email protected] <mailto:[email protected]> [email protected] http://www.insel.ch/ www.insel.ch