File: NorrisEM.txt

URL Reference: http://www.itl.nist.gov/div898/strd/lls/data/Norris.shtml

Dataset Name:  Norris (Norris.dat)

Description:   These data are from a NIST study involving calibration of ozone
            monitors. The response variable (y) is the customer's
            measurement of ozone concentration and the predictor variable
            (x) is NIST's measurement of ozone concentration.

Reference:     Norris, J., NIST.  

Data:       y          x
           0.1        0.2
         338.8      337.4
         118.1      118.2
         888.0      884.6
           9.2       10.1
         228.1      226.5
         668.5      666.3
         998.5      996.3
         449.1      448.6
         778.9      777.0
         559.2      558.2
           0.3        0.4
           0.1        0.6
         778.1      775.5
         668.8      666.9
         339.3      338.0
         448.9      447.5
          10.8       11.6
         557.7      556.0
         228.3      228.1
         998.0      995.8
         888.8      887.6
         119.6      120.2
           0.3        0.3
           0.6        0.3
         557.6      556.8
         339.3      339.1
         888.0      887.2
         998.5      999.0
         778.9      779.0
          10.2       11.1
         117.6      118.3
         228.9      229.2
         668.4      669.1
         449.2      448.9
           0.2        0.5

Mathematica Lists:
xLst = {0.2, 337.4, 118.2, 884.6, 10.1, 226.5, 666.3, 996.3, 448.6, 777.0, 558.2,
       0.4, 0.6, 775.5, 666.9, 338.0, 447.5, 11.6, 556.0, 228.1, 995.8, 887.6,
       120.2, 0.3, 0.3, 556.8, 339.1, 887.2, 999.0, 779.0, 11.1, 118.3, 229.2,
       669.1, 448.9, 0.5};
yLst = {0.1, 338.8, 118.1, 888.0, 9.2, 228.1, 668.5, 998.5, 449.1, 778.9, 559.2, 
      0.3, 0.1, 778.1, 668.8, 339.3, 448.9, 10.8, 557.7, 228.3, 998.0, 888.8, 
      119.6, 0.3, 0.6, 557.6, 339.3, 888.0, 998.5, 778.9, 10.2, 117.6, 228.9, 
      668.4, 449.2, 0.2};

Maple Lists:
xLst := [0.2, 337.4, 118.2, 884.6, 10.1, 226.5, 666.3, 996.3, 448.6, 777.0, 558.2,
       0.4, 0.6, 775.5, 666.9, 338.0, 447.5, 11.6, 556.0, 228.1, 995.8, 887.6,
       120.2, 0.3, 0.3, 556.8, 339.1, 887.2, 999.0, 779.0, 11.1, 118.3, 229.2,
       669.1, 448.9, 0.5]:
yLst := [0.1, 338.8, 118.1, 888.0, 9.2, 228.1, 668.5, 998.5, 449.1, 778.9, 559.2, 
      0.3, 0.1, 778.1, 668.8, 339.3, 448.9, 10.8, 557.7, 228.3, 998.0, 888.8, 
      119.6, 0.3, 0.6, 557.6, 339.3, 888.0, 998.5, 778.9, 10.2, 117.6, 228.9, 
      668.4, 449.2, 0.2]:

MATLAB Row Vectors:
xLst = [0.2, 337.4, 118.2, 884.6, 10.1, 226.5, 666.3, 996.3, 448.6, 777.0, 558.2,
       0.4, 0.6, 775.5, 666.9, 338.0, 447.5, 11.6, 556.0, 228.1, 995.8, 887.6,
       120.2, 0.3, 0.3, 556.8, 339.1, 887.2, 999.0, 779.0, 11.1, 118.3, 229.2,
       669.1, 448.9, 0.5];
yLst = [0.1, 338.8, 118.1, 888.0, 9.2, 228.1, 668.5, 998.5, 449.1, 778.9, 559.2, 
      0.3, 0.1, 778.1, 668.8, 339.3, 448.9, 10.8, 557.7, 228.3, 998.0, 888.8, 
      119.6, 0.3, 0.6, 557.6, 339.3, 888.0, 998.5, 778.9, 10.2, 117.6, 228.9, 
      668.4, 449.2, 0.2];