A range of literature and authors data on correlative variability of seabuckthorn characters have been analysed. Three groups of characters are taken into consideration: morphological, biochemical and combined. The great value of characters interrelation is emphasised for breeding. The authors are focused on extraordinary sensitivity to variability factors and instability of phenotypic correlation. Therefore, there are considerable doubts on the use of phenotypic correlation in practice. The reasons for data instability and discrepancy are discussed.

The authors offer to overcome these difficulties using of the new original "factor correction" approach. The new statistical methodology is based on multi-dimensional unbalanced randomized addition linear model of quantitative characters formation with the occasional factors level. Due to such an approach we are able to involve a range of heterogeneous test data and to reveal intra-specific evaluating correlation complexes caused by separate variability factors: genotypic, environmental, ontogenetic, etc.

Potentials of the new "factor correction" approach illustrated with the factor correlation pleads have been revealed for the first time within a set of valuable characters: fruit mass, total dry substances, content of oil, carotenoids, sugars, total organic and ascorbic acid. Recommendations for practical use of obtained data are given.