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When there is multi-variabl es in a sample, some samples which obviously disturb the relationships among variables are called outlier samples. However the presence of an extremely significant outlier sample tends to conceal some other outlier samples, which bringing great challenge to the identification of multivariable outliers. On this basis, a method of identifying the multivariable outliers in T 2 eclipse chart based on the improved Partial Least Squares regression (PLSR) is proposed. It is generally known that some outliers samples fail to be identified owing to significantly outlier samples are prone to influence the variance of T 2 chart. To solve this problem, a fuzzy variance computing method is put forward. The improved PLSR based T 2 chart can well

Identification of the multivariable outliers using T2 eclipse chart based on the improved Partial Least Squares regression