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   y vs. x
Dataset
Name:
ENSO

Procedure: Nonlinear Least Squares Regression
Certification Method & Definitions

Data: 1 Response Variable (y)
1 Predictor Variable (x)
168 Observations
Average Level of Difficulty
Observed Data
Data file (ASCII Format)
Additional Information

Model: Miscellaneous Class
9 Parameters (beta(1) to beta(9) to beta(1) to beta(9))
Starting Values

y = f(x;beta) + e = beta(1) + beta(2) cos[2 pi x / 12] + beta(3) sin[2 pi x / 12] beta(5) cos[2 pi x / beta(4)] + beta(6) sin[2 pi x / beta(4)] beta(8) cos[2 pi x / beta(7)] + beta(9) sin[2 pi x / beta(7)] + e

Results: Certified Values
Graphics

Reference: Kahaner, D., C. Moler, and S. Nash (1989).
Numerical Methods and Software.
Englewood Cliffs, NJ: Prentice Hall, pp. 441-445.