（3） 在运用主成分分析和因子分析预测各国接收的难民数量时，相关系数矩

(3) When the principal component analysis and factor analysis of the predicted number of refugees receiving countries, the correlation matrix has a certain randomness of the intensity of the raw data processing enough forward reverse index, the main component a linear combination of the finally obtained the sensitivity of the form to be enhanced.

(3) In the use of main component analysis and factor analysis to predict the number of refugees received by countries, the correlation coefficient matrix has a certain randomness, the intensity reverse index in the original data is not enough forward processing, the final obtained in the linear combination form of the main component stoic sensitivity needs to be enhanced.

(3) When principal component analysis and factor analysis are used to predict the number of refugees received by different countries, the correlation coefficient matrix has certain randomness, and the forward processing of the strength reverse index in the original data is not enough, and the sensitivity of the linear combination form of the final principal component needs to be enhanced.