compute a least squares solution to a set of equations
LeastSquares(A, B, options)
Matrix or set
column Vector or set of variables
(optional) parameters; for a complete list, see LinearAlgebra[LeastSquares]
For Matrix A and Vector B, the LeastSquares(A, B) command returns a Vector that best satisfies the condition A·x is approximately equal to B, in the least squares sense. The result that is returned is the Vector x which minimizes Norm(A . x - B, 2).
Parameter A can also be a set of equations that describe the linear least squares problem. In this case, B is the set of variables in which the equations in A occur.
A ≔ 3,0,4|−2,3,4:
b ≔ 1,2,4:
X ≔ LeastSquares⁡A,b
E ≔ m⁢x+n⁢y−3=0,2⁢x−y+2=0:
V ≔ x,y:
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