| /dports/science/dynare/dynare-4.6.4/contrib/dmm/ |
| H A D | ols.for | 39 SUBROUTINE OLS(Y,X,N,K,BETA,SEB,SIGMA,RES,VA,IFAULT) subroutine
40 INTEGER N,K local
41 DOUBLE PRECISION Y(N),X(N,K),BETA(K),SEB(K),SIGMA(K,K)
42 DOUBLE PRECISION RES(N),VA
43 INTEGER I,J,IFAULT,NULLTY
44 DOUBLE PRECISION XX(K,K),invXX(K,K),LTRXX(K*(K+1)/2),W(K),
45 1 pro(K,N),RMAX
59 10 LTRXX(i*(i+1)/2-i+j)=XX(i,j)
93 20 SEB(i) = dsqrt(SIGMA(i,i))
|
| /dports/biology/ncbi-cxx-toolkit/ncbi_cxx--25_2_0/src/algo/phy_tree/fastme/ |
| H A D | fastme_common.h | 40 #define OLS 1 macro
|
| /dports/math/py-spreg/spreg-1.2.4/spreg/ |
| H A D | diagnostics.py | 971 from . import ols as OLS unknown
1218 from . import ols as OLS unknown
|
| H A D | ols.py | 125 class OLS(BaseOLS): class
|
| H A D | sp_panels.py | 9 from . import ols as OLS unknown
|
| H A D | error_sp.py | 11 from . import ols as OLS unknown
|
| H A D | error_sp_hom.py | 12 from . import ols as OLS unknown
|
| H A D | error_sp_het.py | 13 from . import ols as OLS unknown
|
| H A D | summary_output.py | 25 def OLS(reg, vm, w, nonspat_diag, spat_diag, moran, white_test, regimes=False): function
|
| /dports/math/gretl/gretl-2021d/doc/tex/ |
| H A D | df.tex | 164 \subsection{To ``correct'' or not?}
|
| /dports/misc/orange3/orange3-3.29.1/Orange/widgets/model/ |
| H A D | owlinearregression.py | 36 OLS, Ridge, Lasso, Elastic = 0, 1, 2, 3 variable in OWLinearRegression
|
| /dports/math/gretl/gretl-2021d/lib/src/ |
| H A D | gretl_commands.h | 111 OLS, enumerator
|
| /dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/regression/ |
| H A D | linear_model.py | 832 class OLS(WLS): class
|