...得到的结果常常无法用现代医学理论进行解释,即多元线性回归分析结果不合理,此时主成分回归(principal component regression PCR)是解决这个问题的一个方法。然而,当数据中存在异常点
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Then all data were analyzed by principal component regression (PCR) and partial least square (PLS).
采用主成分回归（PCR）和偏最小二乘法（PLS）对试验数据进行了多元统计分析。
The Principal Component Regression (PCR) and Partial Least Square Regression (PLSR) methods are applied to determine the weight of the RBF networks with certain good results.
将主成分回归(PCR)和偏最小二乘回归(PLSR)的方法引入RBF网络中，提出了分别采用这两种方法确定网络权重的算法。
To compare PLS with principal component regression (PCR) and ordinal least square regression (OLS) by a medical case.
应用医学实例计算，对偏最小二乘回归与主成分回归及一般最小二乘回归进行比较。
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