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using MathNet.Numerics;

using MathNet.Numerics.LinearRegression;

class Program

{

    static void Main()

    {

        double[] x = { 1, 2, 3, 4, 5 };

        double[] y = { 2, 4, 6, 8, 10 };

        // 进行线性回归

        var (slope, intercept) = SimpleRegression.Fit(x, y);

        Console.WriteLine($"拟合方程: y = {intercept} + {slope}x");

    }

}

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using MathNet.Numerics;

using MathNet.Numerics.LinearRegression;

class Program

{

    static void Main()

    {

        double[] x = { 1, 2, 3, 4, 5 };

        double[] y = { 2, 3, 5, 7, 11 }; // 一组非线性数据

        // 进行多项式拟合，设定次数为2

        double[] coefficients = Fit.Polynomial(x, y, degree: 2);

        Console.WriteLine("拟合方程：");

        for (int i = coefficients.Length - 1; i >= 0; i--)

        {

            Console.WriteLine($"{coefficients[i]}x^{i}");

        }

    }

}