《Table 3 Partitioning of total variance》

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《"Metallogenic Correlations for the Fe-Nb-REE Mineralization in the West Mine of the Bayan Obo Deposit, Inner Mongolia, China"》

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The present factor analysis is based on a correlation search of the main factors as well as a potentially symbiotic combination of the elements.The new basic factors obtained from the original variables are independent of one another，and the relationships between the geological variables and characteristics are analyzed.The associations among the Nb-related mineralization elements are evaluated via certain overprinting information that can be extracted and integrated into the representative factors.Therefore，the subset of each factor can be used to identify elements and predict the enrichment extent of Nb and certain REEs，thereby reflecting the intrinsic relationship with the original source.The geological variations of twenty-eight elements are carried out，and the log transformation is applied to the raw data processing.The Bartlett test is required for the data correlation test.Moreover，the results of the KaiserMeyer-Olk（KMO）test factor analysis can be accepted（KMO value=0.686；if the KMO value is between 0.6and 1，the factor is appropriate for the analysis）（Liu Jiangtao and Liu Lijia，2017） .To explore the element associations，six representative factors are extracted for the data set with a varimax rotation of the results.The load factor reflects the correlation by the combination of the different elements.By using the accumulative contribution>90%as a constraint（shown in Table 3），the factor analysis selects six main factors that account for 90.79%of the total variance of the data source.The accumulative contribution rate does not change from before to after the rotation，indicating that the total amount of information is not lost.After rotation，factors 1 and 2，factors 3 and 4，and factors 5 and 6 account for approximately 26%，12%，and 7.5%of the total amount of data，respectively.This probably indicates that factors 1 and 2 explain the largest part of the overall contribution to the mineralization.The influences of the factors decrease successively for factors3，4，5，and 6.