# Fusion algorithm

### Description

fusion algorithm

### Usage

1 2 | ```
MPA.fusion(X, y, maxSteps = 3 * min(dim(X)),
eps = .Machine$double.eps^0.5, verbose = FALSE)
``` |

### Arguments

`X` |
the matrix (of size n*p) of the covariates. |

`y` |
a vector of length n with the response. |

`maxSteps` |
Maximal number of steps for lars algorithm. |

`eps` |
Tolerance of the algorithm. |

`verbose` |
If TRUE print details during the process. |

### Value

An object of type LarsPath.

### Author(s)

Quentin Grimonprez

### Examples

1 2 |

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