# The Fabric Data

### Description

The data are 32 observations on faults in rolls of fabric

### Usage

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### Format

A data frame with 32 observations on the following 3 variables.

- leng
the length of the roll : a numeric vector

- y
the number of faults in the roll of fabric : a discrete vector

- x
the log of the length of the roll : a numeric vector

### Details

The data are 32 observations on faults in rolls of fabric taken from Hinde (1982) who used the EM algorithm to fit a Poisson-normal model. The response variable is the number of faults in the roll of fabric and the explanatory variable is the log of the length of the roll.

### Note

This data set and help file is an identical copy
of the `fabric`

data in package gamlss.data.

### Source

John Hinde.

### References

Hinde, J. (1982) Compound Poisson regression models: in *GLIM* 82, *Proceedings of the
International Conference on Generalized Linear Models*, ed. Gilchrist, R., 109–121, Springer: New York.

### Examples

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