diff --git a/Lineareregression.ipynb b/Lineareregression.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..3f21878a61b965d0273b0528d387de294efac53e
--- /dev/null
+++ b/Lineareregression.ipynb
@@ -0,0 +1,208 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import crh_LinearRegression as LinReg"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\"\"\"\n",
+    "Creating random points\n",
+    "\"\"\"\n",
+    "n = 1000\n",
+    "\n",
+    "# reference line\n",
+    "m = np.random.rand()\n",
+    "if np.random.rand()<.5:\n",
+    "    m = -m\n",
+    "c = np.random.rand()\n",
+    "\n",
+    "# generating point set\n",
+    "points = [[],[]]\n",
+    "for i in range(n):\n",
+    "    x = np.random.rand()\n",
+    "    y = m*x+c + .5*(np.random.rand()-.5)*np.random.rand()\n",
+    "    points[0].append(x)\n",
+    "    points[1].append(y)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "m= -0.12246486054984394 c= 0.4159820876090123\n"
+     ]
+    }
+   ],
+   "source": [
+    "\"\"\"\n",
+    "Calling regression function\n",
+    "\"\"\"\n",
+    "\n",
+    "m,c = LinReg.linearRegression(points[0],points[1],True)\n",
+    "print(\"m=\",m,\"c=\",c)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import scipy.linalg as lina \n",
+    "import random\n",
+    "import time\n",
+    "import math"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " Progress: 100  \\  100 \\  100"
+     ]
+    }
+   ],
+   "source": [
+    "N  = 100\n",
+    "nMin = 500\n",
+    "nMax = 4000\n",
+    "\n",
+    "T = np.zeros((2,N))\n",
+    "\n",
+    "for i in range(N):\n",
+    "    n = random.randint(nMin, nMax)\n",
+    "    A= np.random.rand(n,n)\n",
+    "   \n",
+    "    \"\"\"\n",
+    "    Determing det(A)\n",
+    "    \"\"\"\n",
+    "    start = time.time()\n",
+    "    D =lina.det(A)\n",
+    "    end = time.time()\n",
+    "    duration = end-start\n",
+    "    \n",
+    "    #print(\"i:\",i, n,duration)\n",
+    "    print(\"\\r\",\"Progress:\", i+1,\" \\ \",N,end=\"\")\n",
+    "    T[0,i] = n\n",
+    "    T[1,i] = duration\n",
+    "print(\"Done!\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2.656156789776084 -9.603855797451011\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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yIF18Hro5W3k69zaGedbwhdOPcxr+QO66vvzx9KExz3X2UO8efY0TSe5rgYFR7wcAlTHabFLVHcAOEXkbOBhYgTHGNBOZFdN8tky8sfhu/lBJgf09lax0Sjiv4Xo2UoRU18U9V9HWlZ3+c2WSRJL7x8AQEdkPqADOITTGHu1F4D4RyQFygbHAXckM1BiTXSKP/0fG0n/77IIWQwIA/djMM7l/Dj156gzkgobr2EQPYFcVx1ilBMrLLbm3SlUDInI5MAvwAo+q6hIRuTS8f5qqLhOR14HPAAd4RFUXpzJwY4z7xarOGG2AbOAZ363s7dnIUt2X8xuuoYruQPZVcUy2hB5iUtWZwMxm26Y1ez8VmJq80Iwx2SrSW49V/CtikFTydO5t9JMtLHAGc4XnD1BQiNT6Xbl4RmezJ1SNMZ2qrd46hFZQejJcj/0jZygXN0yihjzyfQ53/fQQS+oJsNoyxphO1dZCGwfLKv6V92f6yDbeDo7kwobfU0OobG97HnTa01nP3RjTqVp7UOlIzxIe8d1BV+p5Iziay/1XsJPchI83u1hyN8Z0qngLbZzgmccDufeShx9Gns0tK37Czq2x1zl1++LVncGGZYwxnWrS+KHk+7xNtp2V+wEP590TSuxjLoYfP8RVJ41o0S7f52XcsD67VXRsT2HJ3RjTYTPmV3D0lNnsd82rHD1ldkIJtvn6pf9TOIepnvvwaACOvhJOvRM8nrjrnM75fONuFR3bU9iwjDGmQ5rPeon0oIE2h0gmjCphwiH94b9/gfKHQxu/fxMcc2XLds3O9dtnF8Q8p43FN2U9d2NMh+xW2V4nCK/9Dsong3jgtL+1SOzxRJ5KTXT7nsqSuzGmQzpStheAwE7498Xw0UPgzYWzH4dDfw4kNswTa8zenlZtyYZljDEdEm/WS6s96Ppt8Oz58NXbkNcdznkG9jsWSHyYJ16hMJst05Qld2NMh0waH7vUbtwe9PZv4emz4NtFUFgMF0yH74xs3N3aME/zxB1rLN40ZcndGNMh7epBb1wBT50JW1dDr8Hws+eh575NmnR4mMfEZMndGNNhCfWgV38I//wp1FVByWg471/QtXeLZh0a5jFx2Q1VY0zqLH0RnjgtlNgPOAkufDlmYge7UZpsltyNManxwQPwrwshUM/X+5zNcd9cwn5/Ko87CybeQ0s2tt4xNixjjNktLeq8/GB/Jqy/Hz4MLfmw5MArOWvxEdT5G4DWH3ayG6XJYz13Y0yHRaYvRuq8VFVX0f3FX4QSuzcXzniEiV99jzq/0+Q4KxeQetZzN8Z0WPT0xb5U8Y/cqYyUr9lKV67zXsPMZwpQbBZMOlhyN8Z0WCRBD5eveST3dvrLFr52irnYP4kv6/u3eqzNgkktS+7GmA7rX5TP8G3vcLfvfrrKTj52DmBiw1WNi1jHY7NgUs+SuzGmY1T5+6B3Gb7kLjyiTA8ew7X+X9GAL+4hAlYuoJNYcjfGNEp4haPATnj5Sg5a+gwITMu5gL/Un0z/ogJqGwJU1bZcQamkKJ/3rjm+E34KA5bcjTFhCddnr9kAZefD2o/AVwA/nsalw0/n0jjnARuGSQebCmmMARKsz165AB4aF0rs3QfAxbNg+OlNjrGHkTKD9dyNMUDbhbv6rn8b3n0AAnUw4HA452ko7BvzGHsYKf2s526MAeJPTRzQIxfevJHhy+4IJfZRF8AvXomb2E1msORujAFiF+76jq+Of/e4G969C8UDJ0+F0+6DnLz0BGkSZsMyxhigZX32Y7uv58GcO+m6YQ0U7MUzva7ggTn7U/nCTJvO6AKW3I0xjRrHyhf9G166Hmprod/BzDroDm56dQMNTmj8vbXiXyYzJDQsIyInichyEVklIte00u4wEQmKyFnJC9EY02kCDfDa72H6L8FfCwefCxfP4uZ3ttPQtPaXFf/KcG323EXEC9wPnAisBT4WkZdUdWmMdn8BZqUiUGNMim1bB8/9AtbMBY8PTp4CY34JIrYEngslMixzOLBKVb8EEJEy4HRgabN2VwDTgcOSGqExJqliPoXaY1Wot75jI3TrBz95AgYe3niMLYHnPqKqrTcIDbGcpKqXhN//DBirqpdHtSkBngGOB/4BvKKq/45xronARIDi4uLRZWVl7Q64pqaGwsLCdh+XTm6L2W3xgvtiTle871f6eWxxQ+MQi+Bwec5LXOl9Dq8oHzGCDwb9loP37tPiuP9bvBO/I43bcj3wi4NyOap//Foy6eS23wlILOZx48bNU9UxbZ0rkZ67xNjW/F+Eu4Hfq2pQJFbz8EGqDwEPAYwZM0ZLS0sT+PimysvL6chx6eS2mN0WL7gv5nTFe/2U2Y2JvSfbuMv3IKXehQDcG5jA3YGzyFvpY/LIIU1ulJYCPPMGr672tl13JkO47XcCkhtzIsl9LTAw6v0AoLJZmzFAWTix9wZOEZGAqs5IRpDGmOSIjJGPkc/5W+599JMtVGkhv/X/mnJnFLDrRmnzxH1Ufx/XnVfa2SGbDkokuX8MDBGR/YAK4BzgvOgGqrpf5LWIPEZoWGZG8sI0xuyuGfMr8IryK8/LXJ3zL3LE4RPnAK5ouIJ17NWkrd0odb82k7uqBkTkckKzYLzAo6q6REQuDe+fluIYjTG7acb8Cm5//h0ezbmP47yh+enTAj/k9sBPCMRIA3aj1P0SeohJVWcCM5tti5nUVfUXux+WMSaZymc+ywueu+kjW9ms3bjaf2njMIxHwIm6i2blebODPaFqTDYLNMDsm7nb/zcQeD84nCv9l7GBno1NvCL0yM+hutbvihulJjGW3I3JUAmvihTPplUw/WJYt5AAHu72n8kDwdNxmj2Y7neUgtwc5v/pB0n+CUw6WXI3JgMlvCpSLKow7zGYdV2ohEDR3rw3cgr/KPfiBIMxD7EbqNnHSv4ak4ESWhUplh2bQkvgvXJlKLGPPBsufZfvnXAqk88YiTfOcyh2AzX7WM/dmAzUoVouK2bBi5fDjg2Q1x1OvRO+e3bj7kiP39Y33TNYcjcmA7WrlsvOGvjP9aGhGIB9joYfT4OivVs0bV6z3W6gZi9L7sakSWs3TCeNH5pYD/ub92HGr6Hqa/Dmwgl/giMuA0/8EVdb33TPYMndmDR4v9LPk2/Fv2HaZg/bXwdv3QJzHwAUikfCGX+H4hHp+HFMBrLkbkwaTF/hp87ftP5e85oucXvYaz6CGf8/bF4J4oVjr4bjJkFObmeEblzCkrsxabC5Pnap7VZvmPrrYPaf4YP7AYXeB4TG1ktGpyZI42qW3I1Jg726SMwEH3dK4jfvw0tXwOZVIB446jdQei34uqQ4UuNWltyNSYMzD/Dx5LJg2zdMd26HN2+Ejx8Jve8zDE5/AAZYb920zpK7MWlwVH8fww8c3vqUxBWz4JWrYNta8OSExtaPvRpy8tIXuHENS+7GpEncG6bb18Prv4clL4Te9x8Fp90H3zmocwM0rmbJ3ZhM4Tjw6ePw5g1QvxV8BXD8H2DspeDx7n4hMbNHseRuTCZYvwRe+S2s+TD0fv/vh8oH9NwH2M1CYmaPZIXDjEmnnTWsfOpKAg8eA2s+ZBM9+WjMHXD+vxsTO+xGITGzx7Lkbkw6qMKSGdTddShDVv0fHlWeCJzIuPqpXPjhAGYsaLoGfYcKiZk9mg3LGNPZNq7gu5/dCFULyAcWOoP4g/9iFumg0P5mT6pCOwuJGYP13I3pPDu3w3/+CA8eSa+qBdCliD/4L+LHDTfvSuxhzXvkk8YPJd/nbbLNSvWa1lhyNybVHAcWPAN/Gw3v3wtOkMp+4+GKT5nT7bQWy95Byx75hFElTD5jJCVF+QhQUpTP5DNG2s1UE5cNyxiTSms+Ysv0q+hVHZrZslgOYNOxfwZPHv277pV4aV+sVK9pH0vuxqRC9epQ2YDF0+kFrNciJvvP40XnKPhPACVAydzZTBo/lMlnjLT56ybpLLkbk0z12+Ddu0J11gP17CSXhwKnMC3wI3bQdKglMld98hkjee+a49MUsMlWltyN2Q2Rp0Y3VG9nYuF7/I/nOfIatoR2HnQmJ3xyHGvpE/f45jXcjUkWS+7GdFDoqdHP+F5wLpNyn2VwYB0Am3sdyl4//isMPAxdNRvamItuc9VNKlhyN6aD3nhtOs/I44zKXQXAV04xUwLnsnjHcbw38DAg9lqozdlcdZMKltyNaac5c94g/51bud+ZDx7YqD24J3AGZcFxBMhBttY3to1eC7Wiug4BopfosLnqJlUsuRuTqI3LqXjhj4yrnAXAds3n4cCpPBI8hVp2rYgUa456JMlHxugrqusosZkxJoUSSu4ichJwD+AFHlHVKc32nw/8Pvy2Bvi1qi5MZqDGpM3mL+C/f4VF/6JEHXaqj8eDP+DBwI+oonuTpm31xCOJvry8nNLS0hQHbvZkbSZ3EfEC9wMnAmuBj0XkJVVdGtXsK+B7qlolIicDDwFjUxGwMZ1my5fw9u2wsAw0CB4fT/qP577ABNbTq0Vz64mbTJJIz/1wYJWqfgkgImXA6UBjclfV96PazwUGJDNIYzrTG++8R0P57YwPlJMjDo548Yy6gP/0vpA/vbyRlstahxK7zVU3mURUY/2qRjUQOQs4SVUvCb//GTBWVS+P0/5/gWGR9s32TQQmAhQXF48uKytrd8A1NTUUFha2+7h0clvMbosXkhNzwY615H/+LMO3vYNXlIB6eD54LH93JnDCQQOZvsLP5vrY/79M/G4uR/X3dWq8nc1tMbstXkgs5nHjxs1T1TFtnSuRnrvE2BbzN1xExgG/BI6JtV9VHyI0ZMOYMWO0I2OObhyrdFvMbosXdjPmyvnwzp2w7GVA8ePlucCxPBA8ndVaDED9ai9b6hvinuK6807svHjTxG0xuy1eSG7MiST3tcDAqPcDgMrmjUTku8AjwMmqujkp0RmTKqrw1dvw3t3wxezQNm8uT+88lgeDp7FWmz5VGqn7EqumeonNUzcZKJHk/jEwRET2AyqAc4DzohuIyN7A88DPVHVF0qM0JkqshaKLEj3YCYZ66O/dA5Wfhrb5usJhF8MRl/HAA8viLorRngqOxqRbm8ldVQMicjkwi9BUyEdVdYmIXBrePw34E7AX8ICIAAQSGRMypr3iLRT9swO9lMZpP3XWcqqqq/hl4Qdcmvs6XWvXhHYW7AVjL4XDLoGC0OyXSeOduAk8+oEkq+BoMl1C89xVdSYws9m2aVGvLwFa3EA1JtniLRQ9fYXDdc3azphfwV3P/5fz9TXOzZtNz0ANBGBLbn96ff8qOOR8yC1ockxbCdxqqhu3sCdUjavEK7LVYhbL2k8oePkm3vS8h09C/xjMd/bn74Ef8kb9GO7wHcqEZok9whK4yQaW3I2rxLupuVcXgcBOWDIDPvo7VMzjB0AAD68Ej+DRwEl8qgc0trcyuybbWXI3KRXr5ufuJNVYNzUH+aq4pdebcOcVULsptLFLEU/5x/HgjlIqYtRTtzK7JttZcjcpE+/mJ9DhBB857o7XlzJk+4dc3KWco515yBYn1KD4IDj8VzDyJxQuqaLy2QUxz2Nldk22s+RuUibezc/dGhLZWsGEbU8zocuTsHM1OIDHx/rex1D8w+th4FgIzdhiwqgCPvlmC0/PXW1lds0ex5K7SZl4Qx/tHhIJNMDKWfDpE7DqTdBwL73nvjD6IjjkfJZ9soTivY9oceifJ4xkzD69bPqi2eNYcjcpE+/mZ7whkebj87ccKRxf/2aoKmN4LL1BvbzjPZouYy/i6BPPBI+nzThs9ovZE1lyNynTnic6I+PzBf4tXOR9nzNr32bEnG8a96/UAZQFvscLwWPZQnfy3/Uyue86S9rGxGHJ3aRUXo6nMbn3LPBxw49GtEzIDTtYOPMhHmAOx+YtIkdCwy7V2pXZOcfyqvd43tpWQnQNu90euzcmy1lyN0k3Y34FN760hOo6f5Pt9X5n15tAA3zxFix6Dpa/xg3+WvCCX728GRzF9OBxvOUcin9n/DK6Np3RmPgsuZukaj79MZrfv5M3XnoK3ytzOSYwlx5S27hvnjOEF4LH8GpwbJOl6yIVF9szdm+MseRukqz59Mdc/BztWcwpng850TuPIt0BQUBgmTOQl4JH87JzZIsSuxHjhvVhzD69rBqjMe1kyd3E1ZGnSyuq6yikllLPQsZ7P6bUs5BusqvXvdwZwKvBI3jVGcsX2vZ4+ZzPN/LnCSMBq8ZoTHtYct9DtZW42/106da1LHyrjMd9L3KkZwm5squXvdTZh1eDY3ndOSyhhB4tMq5u0xmNaR9L7nugRBJ3a0+XAtz5+lL6blvEaQWLOdG3gH71X3AwgBeCKnzoDOM/wTH8xxnNmvBSdR1h4+rGdIwl9z1QW2UB3q/0U1Hdcr3QvlRxxLa38T7/F17yLKIoLzx+HoQdmsc7znd5Izia2c4hTW6KdpSNqxvTcZbcXSYZVRbjTSGsqK5jv2tfRcOFWPKp53DPco7xLOJYzyKGedY0af+VU0y5cwhvOYfykTOMBuJPW4zmFcFRpX9RPuOG9WHO5xuprK6jR74PEaiu9du4ujG7yZK7iySrymK8sgC5+DmEVRzpXcpR3iWMkpVNxs5rNY+5zoH81zmYcudgvtHvdOjncFT5asqpHTrWGJMYS+4ukqwqi5GyAI6/jkPkC8Z6ljHWs4xDPSvJl13DMY4KC5xBvO8cxDvOSOY5ByTcO2+NjaMbk3qW3F1kt6ss7tjE3P++Rs28t3hKFjMy78smPXOAz52BfOAMZ64znLnOgWylsN1x5vu8TD5jpJXbNSaNLLlngNbG0SP7Yg2jRMTsCQf9sH4xC+e+ReXidxgW+Jz9PN9yBHAEgCfUM1/m7M1c50A+dA7kI2cYW9p5I1SAowb34uvNdS3inzCqxMrtGpMmltzTrLVxdCDuo/wR+T4vk36wP2z4HNYtgMr5UDEPvl0EgXoOhtAURU9ozHyhM5hPdX8+dobxqTOEbXRFAI37CU0V5fvompeTcLK2+enGpIcl907WvJe+Y2cg7jh6rH15NDBE1jLc8w0j5GtGyDcMf2k1UN/is1ZLPz4ODGa+M4QFzmCW6T4E8bZop4RquFRU1+EVIaiKCI2zZiLyfV5uPC1GVUdjTMax5N6JYvXS46ms3sFA2chhnjUMlTUMC38fJJV4pWU/u1J7Q/9R9D/wCCg5FPqP4ns3vZ9Qj7ykKJ/3rjm+8X15eTmlpaVJX9zaGNN5LLl3olizXfJoYB9ZzyBZx/5SwWBPJUOkgsFS2WTmSkRQhZVOCct0b5Y4+7JE92Wpsw9b6E5JVT7vHbcrSceb8hittRucNqRijHtZco9jxvwKbnp5CVW1oZrkRfm+hIckmvd4Tx9QS+mGzzlw27uM925gX/mWfeVb9pNvKZFNeGL0xAG+1Z6scAawXAeyQgfwubM3K3QAO8mN2b75rJlYKyH5vELX3By21tmDQsZkM0vuwB9mLOKfH64hqIpXhCMG9eSjr6vwB3cl3eo6P1c+u4CbXl7S8gnKhh2wtQK2rmH+okV8O38B/6sbGJi7kYF1GyheVQ2r4JEYOTmgHtZSzGrPAJY2FLO5y74cdeTR3PaRw/Ktba8PGq35rJnoOjE2tGLMnsVVyX3G/ApuKa9ly+uvxq1kGJk2GLkxWBL1iHv09sj3rrledjTs6tkGVXnviy0A5BBgL7bRV6rpK1X0lWqKG6oozqniOzu20H9GFQ0zq8n1b2s8fhQwqllO9quXbz19ye09iLfWd+WLYF++1mK+0n5syunHzWeMYsKoEo6JOqaqV/xFL2KJN7xiQyvG7JkSSu4ichJwD+AFHlHVKc32S3j/KUAt8AtV/TSZge66GRnqTVdU1/HbZxdw5bMLds3wYNeUvqDuavfU3NWA0o06erCDItlOT6mhp9RQFNxOr5zt9GI7vWQbe7GdvWQrvWUrvaSm7cD8gDcXuveHHgN5bpVQSW/Wam/WaF/Wah/WaS8cvHx12akUzK/g9aie9M1xetLNe91FBT7q/UHqwkvVFfg85Pm8VofFGBNTm8ldRLzA/cCJwFrgYxF5SVWXRjU7GRgS/hoLPBj+njSRm5H7yToGygYK2EkB9XSVegqpp6vU0ZV6ukkd3agNfUkt3cPfe7Aj5iyT1gRV2EJ3NmoR67WIDdqTDRSxXnvyrfbiW+3Jt7oXn0w+FyS0ePPdU2bHvIkZWS6uPT1p63UbYzoqkZ774cAqVf0SQETKgNOB6OR+OvCEqiowV0SKRKSfqq5LVqCRm4WXeGdyfs5bHTpHjXZhK13ZqoVUaSFVFFKl3dhCN7Zod6q0GxvpwRbtxmbtwRa64dD6uHdJUX5jYofYNzFzPdgj98aYTpVIci8Bomu9rqVlrzxWmxKgSXIXkYnARIDi4mLKy8sTDrRXF2FzvbJcB/B2cCS1dGEHedRpHjXks0O7sIN8tpPPNi2ghny2aVe2k892LWArXQm04xZD/67g7Gi9Ta4HTt072OTnKAJ+dqCX6SscNtcre3URfri3Q9HWlZSXr0z489OppqamXf9tMoHbYnZbvOC+mN0WLyQ35kSyncTY1nx8I5E2qOpDwEMAY8aM0dLS0gQ+PuSPPUJj7k/4x/NEcHzCxyXC6xEcR1FCtcbPHTuQP08Y2WJKY3Tt8dbGuUuB66LeRx4Kcgu3xQvui9lt8YL7YnZbvJDcmBNJ7muBgVHvBwCVHWizWyJJ9JYXF7K5XttVD8UD9CjwUVXrbzFbpqSVJG1j3sYYt0okuX8MDBGR/YAK4BzgvGZtXgIuD4/HjwW2JnO8PWLCqBKKtq5s8mh882mPkbFtm9ttjNmTtZncVTUgIpcDswhNhXxUVZeIyKXh/dOAmYSmQa4iNBXyotSFHNJWr9qSuTFmT5bQHUZVnUkogUdvmxb1WoHLkhuaMcaYjmrf8+3GGGNcwZK7McZkIUvuxhiThSy5G2NMFhJtvpZaZ32wyEbgmw4c2hvYlORwUs1tMbstXnBfzG6LF9wXs9vihcRi3kdV+7R1orQl944SkU9UdUy642gPt8XstnjBfTG7LV5wX8xuixeSG7MNyxhjTBay5G6MMVnIjcn9oXQH0AFui9lt8YL7YnZbvOC+mN0WLyQxZteNuRtjjGmbG3vuxhhj2mDJ3RhjslDGJXcR+VpEFonIAhH5JLytl4i8ISIrw997RrW/VkRWichyEUnuKh7xY3xURDaIyOKobe2OUURGh3/WVSJyb3ih8c6K90YRqQhf5wUickqmxBv+rIEiMkdElonIEhH5TXh7Rl7nVuLN2OssIl1E5CMRWRiO+abw9ky9xvHizdhrHP4sr4jMF5FXwu875/qqakZ9AV8DvZtt+ytwTfj1NcBfwq+HAwuBPGA/4AvA2wkxHgccCizenRiBj4AjCa1k9RpwcifGeyPwvzHapj3e8Gf1Aw4Nv+4GrAjHlpHXuZV4M/Y6h89fGH7tAz4Ejsjgaxwv3oy9xuHPugp4Bngl/L5Trm/G9dzjOB14PPz6cWBC1PYyVd2pql8Rqid/eKqDUdW3gS27E6OI9AO6q+oHGvqv90TUMZ0RbzxpjxdAVdep6qfh19uBZYTW5c3I69xKvPGk/TprSE34rS/8pWTuNY4Xbzxpv8YiMgA4FXikWVwpv76ZmNwV+I+IzJPQgtoAxRpe2Sn8vW94e7yFudOhvTGWhF83396ZLheRzyQ0bBP50zDj4hWRfYFRhHpqGX+dm8ULGXydw0MGC4ANwBuqmtHXOE68kLnX+G7gd4ATta1Trm8mJvejVfVQ4GTgMhE5rpW2CS3MnWbxYkx37A8Cg4FDgHXAHeHtGRWviBQC04ErVXVba01jbOv0uGPEm9HXWVWDqnoIoXWPDxeRg1ppnvaY48SbkddYRH4IbFDVeYkeEmNbh+PNuOSuqpXh7xuAFwgNs6wP/2lC+PuGcPOUL8zdDu2NcW34dfPtnUJV14f/R3GAh9k1nJUx8YqIj1CifFpVnw9vztjrHCteN1zncJzVQDlwEhl8jWPFm8HX+GjgNBH5GigDjheRp+ik65tRyV1EuopIt8hr4AfAYkILcF8YbnYh8GL49UvAOSKSJ6EFvIcQuvGQDu2KMfzn2HYROSJ85/vnUcekXOSXK+zHhK5zxsQb/ox/AMtU9c6oXRl5nePFm8nXWUT6iEhR+HU+8H3gczL3GseMN1Ovsapeq6oDVHVf4BxgtqpeQGdd347c/U3VFzCI0N3ihcAS4Prw9r2At4CV4e+9oo65ntBd5eWk8I53szj/SejPPz+hf1V/2ZEYgTGEfhG/AO4j/MRwJ8X7JLAI+Cz8S9UvU+INf9YxhP70/AxYEP46JVOvcyvxZux1Br4LzA/Hthj4U0f/f+ukaxwv3oy9xlGfV8qu2TKdcn2t/IAxxmShjBqWMcYYkxyW3I0xJgtZcjfGmCxkyd0YY7KQJXdjjMlCltyNMSYLWXI3xpgs9P8AC9zM/m6wkcMAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "(2.656156789776084, -9.603855797451011)"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#m,c = LinReg.linearRegression([math.log(n) for n in T[0]],[math.log(n) for n in T[1]],True)\n",
+    "m,c = LinReg.linearRegression(np.log10(T[0]),np.log10(T[1]),True)\n",
+    "print(m,c)\n",
+    "\n",
+    "LinReg.logLinearRegression(T[0],T[1],True)"
+   ]
+  },
+  {
+   "cell_type": "code",
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