Öz A more general linear aggregation model is considered in that we allow for collîne- arity between the independent or explanatory variables. Thus the analysis is presented in a framework utilizing Moore-Penrose generalized inverses of singular matrices. Gauss- Markov estimators are derived and compared with covariance structure of the micro parameters. The efficiency is obtained of the least squares estimators of the micro para­ meters.