lowarp:
A multi response optimization data set (LOWARP)
Description
This example concerns the development of a polymer similar to that
used in the plastic covering of mobile phones. The desired profile of
the polymer was low warp and high strength. Four constituents (glas,
crtp, mica, and amtp) were varied in the polymer formulation by means
of a 17 run mixture design. For each new polymer, i.e., each new
experiment in the mixture design, 14 responses relating to both warp
and strength were measured on the product. The objective of the data
analysis was to uncover which combination of factors (the four
ingredients) gave polymers with low warp and high strength. The data
set contains 10 missing values (NA).
Value
Data frame (numeric type only; the first column can be transformed
into row names) with 17 rows and 19 columns
corresponding to the subject's 'num'ber (column 1), the 4 constituent
variables (columns 2-5), the 8 warp responses (columns 6-13), and the
6 strength responses (columns 14-19). For details see the 'Format'
section above.
Format
A data frame with the following parameters:
num-
mixture number
glas-
glas constituent
crtp-
crtp constituent
mica-
mica constituent
amtp-
amtp constituent
wrp1-
warp response 1
wrp2-
warp response 2
wrp3-
warp response 3
wrp4-
warp response 4
wrp5-
warp response 5
wrp6-
warp response 6
wrp7-
warp response 7
wrp8-
warp response 8
st1-
strength response 1
st2-
strength response 2
st3-
strength response 3
st4-
strength response 4
st5-
strength response 5
st6-
strength response 6
References
Eriksson et al. (2006). Multi- and Megarvariate Data Analysis. Umetrics
Academy. pp.16, 77, 209.