Plot the OC Curve for a specific acceptance plan. The function need the plan defined in a previous function. The calculation uses the binomial trials. Applies for attribute plans.

1 | ```
f_CO.plan(plan)
``` |

`plan` |
A vector with acceptance number |

`c` |
An integer number grater than zero, for the acceptance number. |

`n` |
An integer number grater than the acceptance number for the sample size. |

`p` |
Fraction average of the nonconforming items. |

`beta` |
Acceptance probability. |

Erick Marroquin

Montgomery, D.C. (2005) *Introduction to Statistical Quality Control*, 5th ed. New York: John Wiley & Sons, ISBN 0-471-65631-3

f_dodge.romig.simple, `f_milstd414`

, `f_milstd105e`

, `f_DR.CO`

1 2 | ```
r1<-f_dodge.romig.simple(N=2500,"AOQL", p=0.01)
f_CO.plan(r1$plan)
``` |

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