Least squares linear fit

Chapter 4, Model-Based Analyses, is essentially an introduction into least-squares fitting. It is crucial to clearly distinguish between linear and nonlinear least-squares fitting linear problems have explicit solutions while non-linear problems need to be solved iteratively. Linear regression forms the base for just about everything and thus requires particular consideration. 

There are two types of least-squares fit, linear and nonlinear. Linear least-squares fit is based on a function /(t) of the form... 

Least squared fit Linear correlation Linear regression Linkage distance LOD LOQ... 

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