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中文摘要：
TLS在拟合及推估过程中，其拟合和推估的残差会随着观测数据量的增加而呈现上扬的趋势，为了抑制残差的上扬，将自适应回归模型引入到TLS的拟合及推估中，采用适宜的回归模型对经过灰色数据处理的残差进行分析，将分析的结果与TLS的拟合和推估结果进行组合以减弱残差的影响，从而对整体的残差起到了抑制的作用。经过实例分析，验证了该方法的可行性。
英文摘要：
The TLS fitting and estimation residuals will be upward with the increasing in the amount of ob- served data in the process of TLS fitting and estimation. In order to curb the trend, the adaptive regression is intro- duced to the TLS fitting and estimation. The appropriate regression model is used to analyze the residuals handled by gray method. The results of residual analysis is combined to the results of TLS fitting and estimation to weaken the impact of residuals. The experimental results confirm the feasibility of the method.
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