chemometrics.mcr.regressor.OLS¶
- class chemometrics.mcr.regressor.OLS(*args, **kwargs)¶
Bases:
LinearRegressionOrdinary least squares regression
AX = B, solve for X (coefficients.T)
- coef_¶
Regression coefficients (X.T)
- Type
ndarray
- residual_¶
Residual (sum-of-squares)
- Type
ndarray
- rank_¶
Effective rank of matrix A
- Type
int
- svs_¶
Singular values of matrix A
- Type
ndarray
Notes
This is simply a wrapped version of Ordinary Least Squares (scipy.linalg.lstsq).
coef_is X.T, which is the formalism of scikit-learn- __init__(*args, **kwargs)¶
Methods
__init__(*args, **kwargs)fit(A, B)Solve for X: AX = B
Attributes
- fit(A, B)¶
Solve for X: AX = B