function calculatePotentialFit() {
  let x = [
    parseFloat(document.getElementById("x1").value),
    parseFloat(document.getElementById("x2").value),
    parseFloat(document.getElementById("x3").value)
  ];

  let y = [
    parseFloat(document.getElementById("y1").value),
    parseFloat(document.getElementById("y2").value),
    parseFloat(document.getElementById("y3").value)
  ];

  // Transformar datos a escala logarítmica para regresión potencial
  let logX = x.map((val) => Math.log(val));
  let logY = y.map((val) => Math.log(val));

  // Cálculo de los coeficientes de regresión potencial
  let sumLogX = logX.reduce((a, b) => a + b, 0);
  let sumLogY = logY.reduce((a, b) => a + b, 0);
  let sumLogXLogY = logX
    .map((xi, i) => xi * logY[i])
    .reduce((a, b) => a + b, 0);
  let sumLogX2 = logX.map((xi) => xi * xi).reduce((a, b) => a + b, 0);

  let n = x.length;
  let b =
    (n * sumLogXLogY - sumLogX * sumLogY) / (n * sumLogX2 - sumLogX * sumLogX);
  let logA = (sumLogY - b * sumLogX) / n;
  let a = Math.exp(logA);

  // Mostrar la función obtenida
  document.getElementById("functionOutput").innerText = `y = ${a.toFixed(
    4
  )} * x^${b.toFixed(4)}`;

  // Calcular pérdida de potencia al duplicar X
  let powerLoss = (1 - Math.pow(2, b)) * 100;
  document.getElementById("powerLoss").innerText = powerLoss.toFixed(2);

  // Calcular valores en puntos específicos
  let timePoints = [5, 10, 20, 30, 60, 120, 180, 240, 300]; // Minutos
  let valuesOutput = document.getElementById("valuesOutput");
  valuesOutput.innerHTML = "";

  timePoints.forEach((t) => {
    let calculatedPower = a * Math.pow(t, b);
    valuesOutput.innerHTML += `<li>Duración: ${t} min - Potencia: ${calculatedPower.toFixed(
      2
    )}</li>`;
  });
}