in Wiley Online Library (wileyonlinelibrary.com).Data analysis and prediction of pure component properties of long-chain substances is considered. The emphasis is on homologous series and properties for which insufficient data are available. A two-stage procedure is recommended, whereby a linear (or nonlinear) quantitative structure-property relationship (QSPR) is fitted to a ''reference'' series, for which an adequate amount of precise data is available. This QSPR should represent correctly both the available data and the asymptotic behavior of the property. In the second stage a quantitative property-property relationship (QPPR) is derived to represent the predicted property values of a ''target'' series in terms of the property values of the reference series. The procedure is applied for properties which are highly correlated with the number methylene groups in homologous series: ÁH 0 f and DS 0 f . It is shown that the method is very useful for consistency analysis of property data and enables a reliable prediction of DH 0 f and DS 0 f , and, thus, also of DG 0 f for long-chain substances.Homologous series have the general formula H(CH 2 ) n R, where ACH 2 A is the methylene group, n is the number of methylene groups, and R is an end (or functional) group, Correspondence concerning this article should be addressed to M. Shacham at shacham@bgu.ac.il.