Description Usage Arguments Details Value Note Author(s) References See Also Examples

`coef`

is a generic function which extracts the leading coefficients of the model of a process region; the coefficients are extracted from the object of class `"mpcv"`

.

1 2 |

`object` |
object of a class |

`...` |
other arguments, currently not used. |

Shape of the process region is mainly defined by the leading coefficients of the process models (here one-sided models ale applied). To keep a similar shape of the process region in the future process analysis, minimal values of the leading coefficients are required. This function allows to extract the leading coefficients from the `object`

.

A matrix with 2 rows (named `coef.lo`

and `coef.up`

) and number of columns corresponding the number of variables.

For the viariable used as the independent one in the `mpcv`

function the `NA`

value is returned.

Krzysztof Ciupke, `<krzysztof.ciupke at polsl.pl>`

Ciupke K. (2014) *Multivariate Process Capability Vector Based on One-Sided Model*, Quality and Reliability Engineering International, John Wiley & Sons.

1 2 3 4 5 6 7 | ```
data(industrial)
x <- industrial$x
LSL <- industrial$LSL
USL <- industrial$USL
Target<- industrial$Target
res.ind <- mpcv(x, LSL=LSL, USL=USL, Target=Target, alpha=0.025)
coef(res.ind)
``` |

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