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Linear least squares is a method of solving mathematics/statistical problems. It uses least squares algorithmic technique to increase accuracy of solution approximations, corresponding with a particular problem's complexity: *Linear least squares (mathematics); also ordinary least squares (mathematics), or numerical methods for linear/ordinary least squares; concerning the mathematics and computational aspects of the corresponding optimisation problem * *Linear regression, concerning the statistical context in which linear least squares often arises. Special cases are: * * *Simple linear regression or straight line regression * * *Ordinary least squares (statistics) or Linear least squares (statistics) * * *Weighted least squares * * *Generalized least squares 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Linear least squares」の詳細全文を読む スポンサード リンク
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