知识与财富的链接
利用自然正交函数（ＥＯＦ）和最优子集回归（ＯＳＲ）两种统计方法建立了统计预报模型,即抓住了预报对象的主要特征,又考虑了预报成因的最优组合,试报结果表明,ＥＯＦ－ＯＳＲ预报模型是一种有一定价值的统计预报模型。
Using the empirical orthogonal function(EOF)and the optimum subset regression(OSR),the statistical forecast model of dryness and wetness was established.The model includs both the principal feature of predictant and the optimum grouping of predictor.The result shows that the EOF OSR model is important for the actural operational predictions.
