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Fits a least square linear model.
lfit(x, y, eps=1e-8)
a result of ModelMatrix
a column vector of response, dependent variable
Less than this value is considered as zero.
beta coefficients
g2 inverse
rank of the model matrix
degree of freedom for the residual
sum of square error
Minimum version of least square fit of a linear model
ModelMatrix