Fit a smoothing spline to a matrix of responses, single x.

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`x` |
x variable (numeric vector). |

`y` |
response matrix. |

`w` |
optional weight vector, defaults to a vector of ones. |

`df` |
requested degrees of freedom, as in |

`lambda` |
can provide penalty instead of df. |

`thresh` |
convergence threshold for df inversion (to lambda). |

`...` |
holdall for other arguments. |

This function is based on the ingredients of `smooth.spline`

,
and allows for simultaneous smoothing of multiple responses

A list is returned, with a number of components, only some of which are of interest. These are

`lambda` |
The value of lambda used (in case df was supplied) |

`df` |
The df used (in case lambda was supplied) |

`s` |
A matrix like |

`lev` |
Self influences (diagonal of smoother matrix) |

Trevor Hastie

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