llsq_test

llsq_test, an Octave code which calls llsq(), which solves the linear least squares (LLS) problem. It finds the best straight line to match a set of data points. More precisely, it finds the quantities "a" and "b" defining the straight line y=a*x+b, which minimizes the root-mean-square (RMS) error to the data.

Licensing:

The information on this web page is distributed under the MIT license.

Related Data and Programs:

llsq, an Octave code which solves the linear least squares (LLS) problem. It finds the "best" straight line to match a set of data points. More precisely, it finds the quantities "a" and "b" defining the straight line y=a*x+b, which minimizes the root-mean-square (RMS) error to the data.

Source Code:

• llsq_test.m, calls all the tests.
• llsq_test.sh, runs all the tests.
• llsq_test.txt, the output file.

• llsq_test01.m, test using approximately linear data;
• llsq_test01.png
• llsq_test02.m, test using approximately quadratic data;
• llsq_test02.png
• llsq_test03.m, test llsq0;
• llsq_test03.png
• llsq_test04.m, test llsq0 on Playfair data;
• playfair_data.txt
• llsq_test04.png