coef.mpcv: Extracts leading coefficients of the one-sided models from...

In mpcv: Multivariate Process Capability Vector

Description

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".

Usage

## S3 method for class 'mpcv'
coef(object, ...)

Arguments

object	object of a class "mpcv".
...	other arguments, currently not used.

Details

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.

Value

A matrix with 2 rows (named coef.lo and coef.up) and number of columns corresponding the number of variables.

Note

For the viariable used as the independent one in the mpcv function the NA value is returned.

Author(s)

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

References

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

See Also

mpcv

Examples

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)

mpcv documentation built on May 2, 2019, 8:50 a.m.