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diff --git a/data/nist/ENSO.dat b/data/nist/ENSO.dat new file mode 100644 index 0000000..f374db2 --- /dev/null +++ b/data/nist/ENSO.dat @@ -0,0 +1,228 @@ +NIST/ITL StRD
+Dataset Name: ENSO (ENSO.dat)
+
+File Format: ASCII
+ Starting Values (lines 41 to 49)
+ Certified Values (lines 41 to 54)
+ Data (lines 61 to 228)
+
+Procedure: Nonlinear Least Squares Regression
+
+Description: The data are monthly averaged atmospheric pressure
+ differences between Easter Island and Darwin,
+ Australia. This difference drives the trade winds in
+ the southern hemisphere. Fourier analysis of the data
+ reveals 3 significant cycles. The annual cycle is the
+ strongest, but cycles with periods of approximately 44
+ and 26 months are also present. These cycles
+ correspond to the El Nino and the Southern Oscillation.
+ Arguments to the SIN and COS functions are in radians.
+
+Reference: Kahaner, D., C. Moler, and S. Nash, (1989).
+ Numerical Methods and Software.
+ Englewood Cliffs, NJ: Prentice Hall, pp. 441-445.
+
+Data: 1 Response (y = atmospheric pressure)
+ 1 Predictor (x = time)
+ 168 Observations
+ Average Level of Difficulty
+ Observed Data
+
+Model: Miscellaneous Class
+ 9 Parameters (b1 to b9)
+
+ y = b1 + b2*cos( 2*pi*x/12 ) + b3*sin( 2*pi*x/12 )
+ + b5*cos( 2*pi*x/b4 ) + b6*sin( 2*pi*x/b4 )
+ + b8*cos( 2*pi*x/b7 ) + b9*sin( 2*pi*x/b7 ) + e
+
+ Starting values Certified Values
+
+ Start 1 Start 2 Parameter Standard Deviation
+ b1 = 11.0 10.0 1.0510749193E+01 1.7488832467E-01
+ b2 = 3.0 3.0 3.0762128085E+00 2.4310052139E-01
+ b3 = 0.5 0.5 5.3280138227E-01 2.4354686618E-01
+ b4 = 40.0 44.0 4.4311088700E+01 9.4408025976E-01
+ b5 = -0.7 -1.5 -1.6231428586E+00 2.8078369611E-01
+ b6 = -1.3 0.5 5.2554493756E-01 4.8073701119E-01
+ b7 = 25.0 26.0 2.6887614440E+01 4.1612939130E-01
+ b8 = -0.3 -0.1 2.1232288488E-01 5.1460022911E-01
+ b9 = 1.4 1.5 1.4966870418E+00 2.5434468893E-01
+
+Residual Sum of Squares: 7.8853978668E+02
+Residual Standard Deviation: 2.2269642403E+00
+Degrees of Freedom: 159
+Number of Observations: 168
+
+
+
+
+
+Data: y x
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