Template:Least squares and regression analysis
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Least squares and regression analysis
Least squares
Linear least squares
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Non-linear least squares
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Partial least squares
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Total least squares
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Gauss–Newton algorithm
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Levenberg–Marquardt algorithm
Regression analysis
Linear regression
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Nonlinear regression
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Linear model
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Generalized linear model
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Robust regression
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Least-squares estimation of linear regression coefficients
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Mean and predicted response
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Poisson regression
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Logistic regression
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Isotonic regression
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Ridge regression
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Segmented regression
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Nonparametric regression
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Regression discontinuity
Statistics
Gauss–Markov theorem
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Errors and residuals in statistics
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Goodness of fit
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Studentized residual
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Mean squared error
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R-factor (crystallography)
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Mean squared prediction error
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Minimum mean-square error
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Root mean square deviation
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Squared deviations
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M-estimator
Applications
Curve fitting
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Calibration curve
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Numerical smoothing and differentiation
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Least mean squares filter
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Recursive least squares filter
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Moving least squares
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BHHH algorithm
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