前言正交化回归分析方法是在一般线性回归与逐步回归方法基础上发展起来的,它吸取了因子分析(正交化)和逐步回归挑选变量的长处,具有挑选独立因子(变量)而又能达到预测预报的能力,以其独特之处在气象、海洋、生物、医学等应用学科研究中有着重要应用,近年来,也逐步引入地质学科中应用。作者在《福建燕山花岗岩钨锡矿产资源预测及方法研究》 Introduction Orthogonal regression analysis method is developed on the basis of general linear regression and stepwise regression method. It takes the advantage of factor analysis (orthogonalization) and stepwise regression to select variables, and has the ability to select independent factors (variables) The ability to forecast and forecast has its unique applications in the fields of meteorology, oceanography, biology, medicine and other applied disciplines. In recent years, it has also been gradually introduced into geology. Author in “Yanshan granite, Fujian tungsten-tin mineral resources prediction and method”