Computes 95% bootstrap confidence intervals for the single index.

1 |

`y` |
vector, response |

`U` |
matrix, whose columns are covariates for factor one |

`V` |
matrix, whose columns are covariates for factor two |

`B` |
number of bootstap samples to take |

`use.parallel` |
if TRUE, exploits multiple cores by using foreach, doSNOW, etc |

`...` |
other arguments for |

A data.frame specifying the lower 2.5% and upper 97.5% confidence limits, the mean, and the standard error for each coordinate of the index.

Mu Zhu

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