Positively constrained least squares with a multivariate response {cols} | R Documentation |

## Positively constrained least squares with a multivariate response

### Description

Positively constrained least squares with a multivariate response.

### Usage

```
mvpls(y, x)
```

### Arguments

`y` |
The response variables, a numerical matrix with observations. |

`x` |
A matrix with independent variables, the design matrix. |

### Details

The constraint is that all beta coefficients (including the constant) are positive.

### Value

A list including:

`be` |
The positively constrained beta coefficients. |

`mse` |
The mean squared error. |

### Author(s)

Michail Tsagris.

R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.

### See Also

### Examples

```
y <- as.matrix( iris[, 1:2] )
x <- as.matrix( iris[, 3:4] )
mvpls(y, x)
```

[Package

*cols*version 1.1 Index]