Removes missing values (rows and column alternatively) to obtain a large full matrix

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`X` |
the dataset (matrix) with missing values |

`nbstep` |
number of cutting steps (may remove several rows or columns at each step) |

`std` |
(boolean) remove constant covariates |

`verbose` |
(boolean) to print the result |

`coercing` |
vector of the covariates to keep (names or index) |

`Xout` |
(boolean) to export or not the reduced matrix (if not, indices are sufficient) |

`individus_restants` |
Index of remaining individuals |

`variables_restantes` |
Index of remaining variables |

`X` |
If Xout=TRUE, the reduced dataset without missing values |

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