CAJ | 학술논문

偏最小二乘（PLS）回归方法能够有效的解决变量间多重相关性问题。当研究对象变量个数较多，且存在多重相关性，采用P LS回归方法可以提取主成分进行回归分析，有效的解决多重变量处理问题。采用P LS方法对江苏省13个地级城市经济发展的重要指标体系和信息化参数进行实证分析，结果表明，在江苏地区的信息化发展中，经济发展水平越高，其预测参数越大，信息化水平效应越强。
편최소이승（PLS）회귀방법능구유효적해결변량간다중상관성문제。당연구대상변량개수교다，차존재다중상관성，채용P LS회귀방법가이제취주성분진행회귀분석，유효적해결다중변량처리문제。채용P LS방법대강소성13개지급성시경제발전적중요지표체계화신식화삼수진행실증분석，결과표명，재강소지구적신식화발전중，경제발전수평월고，기예측삼수월대，신식화수평효응월강。
Method based on the partial least squares ( PLS) regression can solve the problem of multiple correla-tions between variables.We carry out empirical research on the economic development of Jiangsu province using this method.The results show that in the development of information technology in Jiangsu Province, the level of economic development plays an important role, the greater predictive parameters, the stronger the effect of the level of information.