# Category:Least squares

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Here is a list of articles in the Least squares category of the Computing portal that unifies foundations of mathematics and computations using computers.

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## Pages in category "Least squares"

The following 40 pages are in this category, out of 40 total.

- Least squares
*(computing)*

### C

- Coefficient of determination
*(computing)* - Constrained least squares
*(computing)*

### D

- Discrete least squares meshless method
*(computing)*

### E

- Explained sum of squares
*(computing)*

### F

- Fraction of variance unexplained
*(computing)*

### G

- Gauss–Newton algorithm
*(computing)* - Generalized least squares
*(computing)* - Generated regressor
*(computing)*

### H

- Helmert–Wolf blocking
*(computing)*

### I

- Iteratively reweighted least squares
*(computing)*

### L

- Lack-of-fit sum of squares
*(computing)* - Least absolute deviations
*(computing)* - Least squares adjustment
*(computing)* - Least squares support vector machine
*(computing)* - Least-squares function approximation
*(computing)* - Least-squares support-vector machine
*(computing)* - Levenberg–Marquardt algorithm
*(computing)* - Linear least squares
*(computing)*

### M

- Mean squared error
*(computing)* - Moment matrix
*(computing)* - Moving least squares
*(computing)*

### N

- Non-linear least squares
*(computing)* - Non-negative least squares
*(computing)* - Numerical methods for linear least squares
*(computing)* - Numerical smoothing and differentiation
*(computing)*

### O

- Ordinary least squares
*(computing)*

### P

- Partial least squares path modeling
*(computing)* - Partial least squares regression
*(computing)* - Partition of sums of squares
*(computing)* - Polynomial least squares
*(computing)* - Powell's dog leg method
*(computing)* - Proofs involving ordinary least squares
*(computing)*

### Q

- Quasi-Newton inverse least squares method
*(computing)* - Quasi-Newton least squares method
*(computing)*

### R

- Regularized least squares
*(computing)* - Residual sum of squares
*(computing)*

### T

- Total least squares
*(computing)* - Total sum of squares
*(computing)*

### W

- Weighted least squares
*(computing)*