Dear all
I am having a linear system of the form
A*X=B and I want to find the X by using least squares.
For example my A is of dimension [205,3] and my B is of dimension[205,1]
I am looking for the X matrix which is of the size [3,1]. In the matlab I was
doing that by the function
X = LSCOV(A,B) returns the ordinary least squares solution to the
linear system of equations A*X = B, i.e., X is the N-by-1 vector that
minimizes the sum of squared errors (B - A*X)'*(B - A*X), where A is
M-by-N, and B is M-by-1
for example for the matrices
A =
1 2 3
4 5 6
7 8 9
K>> B=[1 2 3]
B =
1 2 3
>>lscov(A,B')
ans =
-0.0000
0
0.3333
How I can get the same in R? I know about the lm function but it looks
complicated to me how to insert formula and how to get exactly back only what I
need
Regards
Alex
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