Fundamentals of Statistics contains material of various lectures and courses of H. Lohninger on statistics, data analysis and chemometrics......click here for more. 
Home Math Background Matrices Linear Dependence  
See also: rank of a matrix  
Linear Dependence
Linear independence is important for many aspects of data analysis. A general rule is that a set of n vectors of order m shows linear dependence if n is greater than m. Linear independence is closely related to the rank of a matrix. If we recognize a matrix as a set of n (row or column) vectors, we immediately see that linear dependence among row or column vectors reduces the rank of the matrix.


Home Math Background Matrices Linear Dependence 
Last Update: 20121008