pipeline


The Alaska pipeline data consists of in-field ultrasonic
measurements of the depths of defects in the Alaska pipeline. The
depth of the defects were then re-measured in the laboratory.
These measurements were performed in six different batches. The
data were analyzed to calibrate the bias of the field measurements
relative to the laboratory measurements. In this analysis, the
field measurement is the response variable and the laboratory
measurement is the predictor variable.<p></p><p>These data were originally provided by Harry Berger, who was at the time a
scientist for the Office of the Director of the Institute of
Materials Research (now the Materials Science and Engineering
Laboratory) of NIST. These data were used for a study conducted
for the Materials Transportation Bureau of the U.S. Department of
Transportation.
</p>

datasets

This package is a companion to the textbook S. Weisberg (2005),
"Applied Linear Regression," 3rd edition, Wiley. It includes all the
data sets discussed in the book (except one), and a few functions that
are tailored to the methods discussed in the book.  As of version 2.0.0,
this package depends on the car package. Many functions formerly
in alr3 have been renamed and now reside in car.
Data files have beeen lightly modified to make some data columns row labels.

Sanford Weisberg

alr3

Data to accompany Applied Linear Regression 3rd edition

pipeline function

This data frame contains the following columns:
 <dl>
    <dt>Field</dt><dd>
Number of defects measured in the field. 
    </dd> <dt>Lab</dt><dd>
Number of defects measured in the field. 
    </dd> <dt>Batch</dt><dd>
Batch number 
    </dd> </dl> 

Format

<a href="http://www.itl.nist.gov/div898/handbook/pmd/section6/pmd621.htm">http://www.itl.nist.gov/div898/handbook/pmd/section6/pmd621.htm</a>

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pipeline: Alaska pipeline

Description

Arguments

Format

Source

References

Examples