Plots the coefficients of Lasso regression

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`formula` |
formula, like y~X, i.e., dependent~response variables |

`data` |
data frame to be analyzed |

`sopt` |
optimal fraction from Lasso regression, see details |

`plot.opt` |
if TRUE a plot will be generated |

`...` |
additional plot arguments |

Using the function `lassoCV`

for cross-validation, the optimal
fraction sopt can be determined. Besides a plot for the Lasso coefficients
for all values of fraction, the optimal fraction is taken to compute the
number of coefficients that are exactly zero.

`coefficients` |
regression coefficients for the optimal Lasso parameter |

`sopt` |
optimal value for fraction |

`numb.zero` |
number of zero coefficients for optimal fraction |

`numb.nonzero` |
number of nonzero coefficients for optimal fraction |

`ind` |
index of fraction with optimal choice for fraction |

Peter Filzmoser <P.Filzmoser@tuwien.ac.at>

K. Varmuza and P. Filzmoser: Introduction to Multivariate Statistical Analysis in Chemometrics. CRC Press, Boca Raton, FL, 2009.

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