# olsfit

Ordinary Least Squares Linear regression.

## Syntax

parameters = olsfit(X,y)

parameters = olsfit(X,y,options)

## Inputs

`X`- Training data.
`y`- Target values.
`options`- Type: struct

## Outputs

- parameters
- Contains all the values passed to olsfit method as options. Additionally it has below key-value pairs.

## Example

Usage of olsfit with options

```
X = [1 2 3; 4 5 6; 7 8 9; 10 11 12; 13 14 15; 16 17 18; 19 20 21];
y = [1, 2, 3, 4, 5, 6, 7];
options = struct;
options.to_normalize = true;
parameters = olsfit(X, y, options)
```

```
parameters = struct [
coef: [Matrix] 3 x 1
0.66667
0.66667
0.66667
intercept: 4
n_features: 3
n_samples: 7
params: [Matrix] 4 x 1
4.00000
0.66667
0.66667
0.66667
scorer: @r2
to_normalize: 1
]
```

## Comments

It performs regression using Ordinary Least Squares method. Once the coefficients are computed, outputs are predicted using olspredict method.