Computes the design matrix for the linear least-squares regression problem of , where is the matrix computed here, is the vector of coefficients to be determined, and is the vector of measured dependent variables.
See Also
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| integer(kind=int32), | intent(in) | :: | order |
The order of the equation to fit. This value must be at least one (linear equation), but can be higher as desired. |
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| logical, | intent(in) | :: | intercept |
Set to true if the intercept is being computed as part of the regression; else, false. |
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| real(kind=real64), | intent(in) | :: | x(:) |
An N-element array containing the independent variable measurement points. |
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| real(kind=real64), | intent(out) | :: | c(:,:) |
An N-by-K matrix where the results will be written. K must equal order + 1 in the event intercept is true; however, if intercept is false, K must equal order. |
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| class(errors), | intent(inout), | optional, | target | :: | err |
A mechanism for communicating errors and warnings to the caller. Possible warning and error codes are as follows. - FS_NO_ERROR: No errors encountered. - FS_ARRAY_SIZE_ERROR: Occurs if c is not properly sized. - FS_INVALID_INPUT_ERROR: Occurs if order is less than 1. |