#  x04.txt
#
#  Reference:
#
#    Helmut Spaeth,
#    Mathematical Algorithms for Linear Regression,
#    Academic Press, 1991, page 305,
#    ISBN 0-12-656460-4.
#
#    Helmut Spaeth,
#    Clusterwise Linear Least Squares Versus Least Absolute Deviation
#      Regression:
#    A Numerical Comparions for a Case Study,
#    In: G Gaul, M Schader, editors,
#    Classification as a Tool of Research,
#    North Holland, 1986.
#
#  Discussion:
#
#    Mail order houses issue supplementary lists with varying print runs
#    and different numbers of pages.  Each supplementary list
#    produces a certain number of orders.  
#
#    There are 38 rows of data.  The data columns include:
#
#      I,  the index;
#      A1. the size of the print run, in thousands;
#      A2, the number of pages in the list;
#      B,  the number of orders, in thousands.
#
#    We seek a model of the form:
#
#      B = A1 * X1 + A2 * X2.
#
4 columns
38 rows
Index
Print Runs (x1000)
Page numbers
Orders (x1000)
 1  2800   22   437
 2  2670   14   204
 3  2800   37   725
 4  2784   15   279
 5  2800   38   474
 6  2620  172  1587
 7  2620  249  2630
 8  2470   84   798
 9  2620  242  2509
10  2475  100  1192
11  2620  114   882
12  2620   37   511
13  2448   96   896
14  2648  116  1297
15  2525   94   857
16  1000   47   388
17   980   48   462
18  1000   15    67
19  1112   45   326
20  1000   23   145
21  1000   44   298
22  2188   23   179
23  1028   47   289
24  2200   31   200
25  1000   48   461
26   980   48   223
27   728   47   235
28  2510   26   235
29  1500   58   594
30  2500  128  1800
31  2620  120  1457
32  2528  120  1710
33  2630  121  1715
34  2550  122  1615
35  1150   61   196
36  1150   50   309
37  1150   50   263
38  1147   60   332