采用统计分析和偏最小二乘回归方法提出了过程稳定性在线评价模型，克服了输入变量严重多重相关性的问题。
Based on this, an on-line evaluation model of process stability with statistical method and partial-least-square regression (PLSR) was set up which overcome the multicollinearity of input parameters.
实例表明，在飞机研制费用预测方面，采用递阶偏最小二乘回归方法预测更能体现研制费用与飞机性能参数之间的关系。
The calculated results in the example show that Hi-PLS model can reflect satisfactorily the correlation between fuselage development cost and performance parameters of a military aircraft.
为此，判断了影响负荷的经济因素之间存在的多重共线性，用偏最小二乘回归方法消除其共线性影响，并建立了预测模型。
The partial least square regressive method (PLS) is applied to build the model estimating the annual load of NSP, whose results are compared with the ones of least square method.
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