Finish adapting to upcoming deSolve

author: Johannes Ranke <jranke@uni-bremen.de> 2023-02-17 14:44:29 +0100
committer: Johannes Ranke <jranke@uni-bremen.de> 2023-02-17 14:44:29 +0100
commit: d5ff53448c61134c46cc4df9ea88fd86fa376d66 (patch)
tree: 2332224ea61fd28e58e9e9ff07a414da59df5bff /vignettes/FOCUS_L.html
parent: 84e67cd33bc9c47ae4b111873ffe39fed910d3d4 (diff)
1 files changed, 32 insertions, 32 deletions
diff --git a/vignettes/FOCUS_L.html b/vignettes/FOCUS_L.html
index 98fe86c1..190ab65b 100644
--- a/vignettes/FOCUS_L.html
+++ b/vignettes/FOCUS_L.html
@@ -1534,7 +1534,7 @@ div.tocify {
 <h1 class="title toc-ignore">Example evaluation of FOCUS Laboratory Data
 L1 to L3</h1>
 <h4 class="author">Johannes Ranke</h4>
-<h4 class="date">Last change 18 May 2022 (rebuilt 2023-01-05)</h4>
+<h4 class="date">Last change 18 May 2022 (rebuilt 2023-02-17)</h4>
 
 </div>
 
@@ -1561,10 +1561,10 @@ model fit. This covers the numerical analysis given in the FOCUS
 report.</p>
 <pre class="r"><code>m.L1.SFO &lt;- mkinfit(&quot;SFO&quot;, FOCUS_2006_L1_mkin, quiet = TRUE)
 summary(m.L1.SFO)</code></pre>
-<pre><code>## mkin version used for fitting:    1.2.2 
+<pre><code>## mkin version used for fitting:    1.3.0 
 ## R version used for fitting:       4.2.2 
-## Date of fit:     Thu Jan  5 14:50:14 2023 
-## Date of summary: Thu Jan  5 14:50:14 2023 
+## Date of fit:     Fri Feb 17 10:41:53 2023 
+## Date of summary: Fri Feb 17 10:41:53 2023 
 ## 
 ## Equations:
 ## d_parent/dt = - k_parent * parent
@@ -1648,7 +1648,7 @@ summary(m.L1.SFO)</code></pre>
 <p>A plot of the fit is obtained with the plot function for mkinfit
 objects.</p>
 <pre class="r"><code>plot(m.L1.SFO, show_errmin = TRUE, main = &quot;FOCUS L1 - SFO&quot;)</code></pre>
-<p><img 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" 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" /><!-- --></p>
 <p>The residual plot can be easily obtained by</p>
 <pre class="r"><code>mkinresplot(m.L1.SFO, ylab = &quot;Observed&quot;, xlab = &quot;Time&quot;)</code></pre>
 <p><img src="data:image/png;base64,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" /><!-- --></p>
@@ -1658,23 +1658,23 @@ checked.</p>
 <pre><code>## Warning in mkinfit(&quot;FOMC&quot;, FOCUS_2006_L1_mkin, quiet = TRUE): Optimisation did not converge:
 ## false convergence (8)</code></pre>
 <pre class="r"><code>plot(m.L1.FOMC, show_errmin = TRUE, main = &quot;FOCUS L1 - FOMC&quot;)</code></pre>
-<p><img src="data:image/png;base64,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" 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" /><!-- --></p>
 <pre class="r"><code>summary(m.L1.FOMC, data = FALSE)</code></pre>
 <pre><code>## Warning in sqrt(diag(covar)): NaNs produced</code></pre>
 <pre><code>## Warning in sqrt(1/diag(V)): NaNs produced</code></pre>
 <pre><code>## Warning in cov2cor(ans$covar): diag(.) had 0 or NA entries; non-finite result is
 ## doubtful</code></pre>
-<pre><code>## mkin version used for fitting:    1.2.2 
+<pre><code>## mkin version used for fitting:    1.3.0 
 ## R version used for fitting:       4.2.2 
-## Date of fit:     Thu Jan  5 14:50:15 2023 
-## Date of summary: Thu Jan  5 14:50:15 2023 
+## Date of fit:     Fri Feb 17 10:41:53 2023 
+## Date of summary: Fri Feb 17 10:41:53 2023 
 ## 
 ## Equations:
 ## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent
 ## 
 ## Model predictions using solution type analytical 
 ## 
-## Fitted using 369 model solutions performed in 0.025 s
+## Fitted using 369 model solutions performed in 0.026 s
 ## 
 ## Error model: Constant variance 
 ## 
@@ -1785,7 +1785,7 @@ residual plot can be obtained simply by adding the argument
 <pre class="r"><code>m.L2.SFO &lt;- mkinfit(&quot;SFO&quot;, FOCUS_2006_L2_mkin, quiet=TRUE)
 plot(m.L2.SFO, show_residuals = TRUE, show_errmin = TRUE,
      main = &quot;FOCUS L2 - SFO&quot;)</code></pre>
-<p><img 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" 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" /><!-- --></p>
 <p>The <span class="math inline"><em>χ</em><sup>2</sup></span> error
 level of 14% suggests that the model does not fit very well. This is
 also obvious from the plots of the fit, in which we have included the
@@ -1810,10 +1810,10 @@ plot(m.L2.FOMC, show_residuals = TRUE,
      main = &quot;FOCUS L2 - FOMC&quot;)</code></pre>
 <p><img 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" /><!-- --></p>
 <pre class="r"><code>summary(m.L2.FOMC, data = FALSE)</code></pre>
-<pre><code>## mkin version used for fitting:    1.2.2 
+<pre><code>## mkin version used for fitting:    1.3.0 
 ## R version used for fitting:       4.2.2 
-## Date of fit:     Thu Jan  5 14:50:15 2023 
-## Date of summary: Thu Jan  5 14:50:15 2023 
+## Date of fit:     Fri Feb 17 10:41:54 2023 
+## Date of summary: Fri Feb 17 10:41:54 2023 
 ## 
 ## Equations:
 ## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent
@@ -1889,12 +1889,12 @@ order to explain the data.</p>
 <pre class="r"><code>m.L2.DFOP &lt;- mkinfit(&quot;DFOP&quot;, FOCUS_2006_L2_mkin, quiet = TRUE)
 plot(m.L2.DFOP, show_residuals = TRUE, show_errmin = TRUE,
      main = &quot;FOCUS L2 - DFOP&quot;)</code></pre>
-<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAqAAAAJACAMAAABlpiR1AAADAFBMVEUAAAABAQECAgIDAwMEBAQFBQUGBgYHBwcICAgJCQkKCgoLCwsMDAwNDQ0ODg4PDw8QEBARERESEhITExMUFBQVFRUWFhYXFxcYGBgZGRkaGhobGxscHBwdHR0eHh4fHx8gICAhISEiIiIjIyMkJCQlJSUmJiYnJycoKCgpKSkqKiorKyssLCwtLS0uLi4vLy8wMDAxMTEyMjIzMzM0NDQ1NTU2NjY3Nzc4ODg5OTk6Ojo7Ozs8PDw9PT0+Pj4/Pz9AQEBBQUFCQkJDQ0NERERFRUVGRkZHR0dISEhJSUlKSkpLS0tMTExNTU1OTk5PT09QUFBRUVFSUlJTU1NUVFRVVVVWVlZXV1dYWFhZWVlaWlpbW1tcXFxdXV1eXl5fX19gYGBhYWFiYmJjY2NkZGRlZWVmZmZnZ2doaGhpaWlqampra2tsbGxtbW1ubm5vb29wcHBxcXFycnJzc3N0dHR1dXV2dnZ3d3d4eHh5eXl6enp7e3t8fHx9fX1+fn5/f3+AgICBgYGCgoKDg4OEhISFhYWGhoaHh4eIiIiJiYmKioqLi4uMjIyNjY2Ojo6Pj4+QkJCRkZGSkpKTk5OUlJSVlZWWlpaXl5eYmJiZmZmampqbm5ucnJydnZ2enp6fn5+goKChoaGioqKjo6OkpKSlpaWmpqanp6eoqKipqamqqqqrq6usrKytra2urq6vr6+wsLCxsbGysrKzs7O0tLS1tbW2tra3t7e4uLi5ubm6urq7u7u8vLy9vb2+vr6/v7/AwMDBwcHCwsLDw8PExMTFxcXGxsbHx8fIyMjJycnKysrLy8vMzMzNzc3Ozs7Pz8/Q0NDR0dHS0tLT09PU1NTV1dXW1tbX19fY2NjZ2dna2trb29vc3Nzd3d3e3t7f39/g4ODh4eHi4uLj4+Pk5OTl5eXm5ubn5+fo6Ojp6enq6urr6+vs7Ozt7e3u7u7v7+/w8PDx8fHy8vLz8/P09PT19fX29vb39/f4+Pj5+fn6+vr7+/v8/Pz9/f3+/v7////isF19AAAACXBIWXMAAA7DAAAOwwHHb6hkAAAgAElEQVR4nO2dB3zU5BvH39IWuhilUCi0SEtZUgFZgsJf9kZQQREBFzKKIrtMQYoKgshSi7JkKKMgu0IREJChCAoiqBRZIkIpQqGDjvef5O5Ke3e5Xi55e2/uft/PxySXe/M8T8PXyyWXvC+hAHAMcXYBANgCggKugaCAayAo4BoICrgGggKugaCAayAo4BoICrgGggKugaCAayAo4BoICrgGggKugaCAayAo4BoICrgGggKugaCAayAo4BoICrgGggKugaCAayAo4BoICrgGggKugaCAayAo4BoICrgGggKugaCAayCoBYOJiX3Cq4T+9fzr9l2Ta3gvd1HzIJ/wAb+Iy6MJiRfn8YQMF2Ypbz8WHBDV+4e8ODMIict78fNTVUo2ejfDSrpxUirf8Nev204+WlpbLPzpkyz+aG6BoBbkd+TeEONip1TxravtDa88P6Lmgp4vZ2w53RQnv6CJXtJ7je5bphtnylbhgM3ko01veB5gvAO4AoJaIDgSHSdxlfYnJODZCT0DCHlJfKsFIWX7TO7pSchmc0GfJKTn8i/e9CXFjhrj5Be0BvFbuPtZQt63TCcI+krcpxPrEVI721ZyId3AuLj3GxLSgPUe4AkIaoHgyDbjYiIhNX4X5r9XJySR0rWEPHxReLmVkPpmgmZ4k9bii68Iede4cT5BrxIyltK0UqSdZTpB0FXCLEP4cF5qK7kx3d1ypJi1bwquCgS1IJ8jjQjZIy3sEg7PlDYnZKf08vn6De4XFPQ6IU2ED0CasWrVYePG+QTdT8hqYVaHVLdMZxSUHiKko63kpnSPE3JZ07+XbyCoBYIjby4WOX3Tg1QzrqxKPJJpECmXr13BQ3wEIZFj1p/LffB+PkHvJydnUnongLS1TGcSlPqIyeSTG9PdK098crT8czkHglqQd56y8IRwfmJcKRyAjycLn5L52hUU9FBlaZsyPfeY3i9wFi+Q04+QdZbp8gSNIJ735ZOL6QYvXjy7CSFdtPtb+QeCWvDAkeOEdDau7EzID8Jh/PF87cwuM939ckBdb3GzBcb3zQT9rwchbxmXt74h8LFhOU/QagUFNUv+4Cw+4Iz2fzO/QFALHnwNTH5wlK1GyL80kFQyvLqfkZFrLqhI5vevCQIZj8AFBf1J+ID8wPRikihaR8NynqC+xkO8THKjoJWfOaflH8s9ENSCfOcpDQ3XyyndR8ijlDYjxHAN6VHifY/GErJEfLGEkKn0zIwZhpMj4XB8xbBxAUFX+JAKeQd/q4IeNT9JMktu+v/BzYCgFuRzZCchtZKE+Z+1CEmg9AtCmt0SXm7zIE9QuoGQbmKjboSsp78T8qR4Fp/bhPhnGzbOL+gWD1JT5tzbKGhmJ0IW20oOQYGBfI7QvoSUemHKCyUJ6Usl+0jVEbNf9CTFBGP+CxN8nTxJ+FgNvSV+qJJmCzcsak3Ic8ZtBUH7Sifki+/lVCFkhLi0wTKdIOhriz+f2kDQMdtWcggKDOR35E4745lJuzviy4stDK+8PxRffRdkeFXuO+HFhRBjy6j/jNvOyPvV8spB01KUZbq8nzqDD9hMDkGBgfyO0Nwv+zzi/0ifL43XN3MW9KhassFrfxpe3YppFhTULOaW9OLurOahJSLaLMsybZpP0OWFCupTdYDpZhGZ5BAUAP6AoIBrICjgGggKuAaCAq6BoIBrICjgGggKuAaCOkBS9/5xhbcCWgBBHWDMcdrC2TW4CxDUAdJyLz9dSJN9PexZJUfKX8oKcmEgqCOs6/5PIS3sEfSzmhX6pokLNTy9vDbQsaEho+iFpjXnURp9VqNC9Q8EdYBtI3MLrrhv/O/BKzsEPVb1n9udpwoLudKjeDsbpd2q+c2gb7Ib3P49WuOCdQwEVcTI6kfp+lqvdOnZV3o5PzxyZM7BPr0nif/R6RHhY6RXVLJRerPD15Q2+k5aNBd04yxKl4hxLj8ivvw+gdJnN46d89fDaf3/LuI/i2MgqDI2dEh7KMH0Yl+963d7Tz9Y+iwV//um5u2M5ivEJfGtHoY3l/WjSRF7pUVJ0E4PSRj7V7rZWPCX7g9rU+EV4Vi/oXPXjNuD2u76cbwz/jJOgaDKyK3+Ure8F5OrtmxZp8vBJykV/xs7kdKPXxaXqCio4c3/Ktx/7x3DouVRf1Wk9DTSLx/eT+4gHOuvrq8nud/z1pYOo92p9xBbQFCFzCz+54Pl9ylNv32wqyCo8N8Y4dAe109coqKghjdp9531zxsWJUHbV5YQu8fL6feU4VQrK5vSFU9vPETph4OFlzs/SG5wcfKHRf+ncQkEVUjvoAefbSdqXc/ovMMkaELt1MwWy/IENbxJv2rZytjO4jtoG/FUK/ds1twO6be7fbig1e3bbYQz+Nyn0i+2yV03oQj/Jp6BoMo4GNJt1YNXcdUqv0lNgtLYyIhROXmCGt6kd/2WG9uZCzqieEBAwEsZ5EJWTETYiKyctx4KHZpF6ZrFlE6p3eJa0f1NXANBFZHTcNnehlmFtwNaAUEVsaRRLu0bet7ZZbgREBRwDQQFXANBAddAUMA1EBRwDQQFXANBAddAUMA1EBRwDQQFXANBAddoLOjIhgDYQXN779bSWNCmy44BUDjVf3GSoIcLbwMArQtBAc9wJOjPsybH4xZfUBBuBM15M2z0tDZR7jV8HygUbgRd9ESqMF3QWNs0QO9wI+gTieI0N+I3bfMAncONoFX/kmbtd2qbB+gcbgRttleaVT+lbR6gc7gRdEGrdGG6pH6utdbAaeR8l8ieZPn83Aia/Uq1qXO7V8NXUM44WbItcyJt9I7CjaCUHnyrwzL0hMUbJ+qzz/H+OPn3+BE0c06j0oNxGZQ3IKiR/+r3nFfrveBtVlsDpwFBjYwbQP+oTg9Xum+1OXAWENRIvWP03/KUNjiqbR6gEghqJPw8zShOabtd2uYBKoGgRjqtobREekbwZW3zAJVAUCPfVP2VVjj/ai9t0wC1QFATK0P+51/upTvapgFqgaB5pH5XfbO2SYB6IGg+2uIMiTsgaD56rtM2CVAPBM3Ha59rmwSoh6GgJ340LuhG0JGztU0C1MNQ0L6m4XZ0I+g7k7VNAtRjIWjuxtEj1uTY3CY322JVZoGfsA0P7+pP0LnDtE0C1GMu6K0Wj8+a07LRv7IbnCMJVTxqzRSW7rwV6RMRm0tpxbWjAy/Q5Q396iwVVod+3JaU7nWTNiWE/CdtohtBl/fXNglQj7mgr0eLzzzEPC+7wTni+/qm0R5TKH0mcPaWt8iXgqCNuq9Pn+/99o7hHp8Igga+uO8Dr6H05rMdrxmen9CNoF931zYJUI8kaEaKiZsl/xBnVwL+yVtldpP5OfKsMB1T8g59Nk5YqDlWELRuLr0bFCu8ej1YEFR8rKfbE3o8xO9pqW0SoB5J0M6BJsp4GObFSueterzgBudIvDA9RcTb0lJPLPYeLQgaQ+lRcig5OXkluURDxVHuRzfVo6A/PaptEqAe80N82Svi9FYp2YdzzpGDYgNB04N1PSp1qiQKOofStcTASRo6i3IhaOaNFBvvWhU0KVxpEsAac0FHvCCcj2cPfE12A8Mn6G/k+xTvaOFUqqko6Fzh6EiuGxuEihcTnS3opQnhHoSUiBwnN5yqVUGTyypKAooAc0HTnqkVM/6RjrdlNzhHnhOmE/xu7SLnKE0PMQp6vcQSYfXkNnwIetwvbMi8lSvmvxER+LP1FlYFzfLCU/G8YXmh/sCM9/bY2OAc8YnePr7YBHrBu9eBzY/5d06WBKUxxafvGOMxL5+gr9Q5ZrhgWvSCtuyUZljIeqGt9RbW+wf1v6skCygCFP+SdI583aVMjfeEj5o1Nf2bbP0i8G2DoLmzo/weFs/r8wTdG17S8EFc9IKWijctHShjvYV1QStdUZIFFAEOCHpMaY6iF7RRtGlp6mPWW1gXtPZpJVlAEeCagsZ7dFpy6MzZIyue8Yy33sK6oE0PKckCigDXFJRuayVd9PJovUOmgXVBOyQoygLYo1jQrAuZSnM45Tpoyq+JiSdvmq1MzevPLHK/tY2e/0phFsAal75hOedPs35Cfsjr0MzrQ2sbDIxzIAtgiYsKuq1n12V0URDxmS5zZTPA6s3zY2YqygLY45qCriONO3tHB8QmTPJeYr2FdUGn2+goEjgF1xT00SGUfkreF5bGy9z/YV3QBUOVZAFFgGsK6red0hvSXS0J/tZbWBd05YtKsoAiwDUFrS58lzxClgtL82pZb2Fd0C1dlWQBRYBrCvq+z/B3KjeutCt5c9BE6y2sC/pdCyVZQBHgmoJmTapUfvD9AYSQLvest7Au6M91lWQBRYBrCmrkzArZ7mitC3qhigNZAEt+LR7BnLI2Hjd31iMf1gW9VVrbLEA9fyWxR+YwK8KXoDmetnsEAG4HX4LSUv9pmwboHc4EDbuobRqgdzgTNOqktmmA3uFM0CcOaJsG6B3OBO2CkeZAATgTtM8qbdMAvcOZoEM+1jYN0DucCTruPW3TAL3DmaDvx2ibBugdzgT9ZLC2aYDe4UzQL3trmwboHc4E3d5J2zRA73Am6MHHra4Gbgtngp6qo20aoHc4E/RyZW3TAL3DmaB3ArRNA/QOZ4LmemVpmwfoHM4EpYHm/Y0B94Y3QavKjboA3BPeBK13Qts8QOfwJuj/9mmbB+gcZw3kJSfoU5uU5gEujbMG8pITtN8XivIAV8dZA3nJCfrGfCV5gMvjrIG85ASdGKskD3B5HBL00qlCGhc+kJecoB+MtrMe4B44IOg3FQmhbWweigsfyEtO0M9et7Me4B4oF3Sl18CVhE72WGSjceEDeckJuraXnfUA90C5oA+PoMnCizFRtloXOpCXnKDftLezHuAeKBfUb4ck6A6ZzudNWB3I69RAE94fWd/ssMxXAuCmKBe0wRRJ0Gl2dIZ86w+z3hRvfL7IiM+n1jf5TaZPe+CmKBd0mXfsIXJ9SfE5tlqvbHaSXutKSMm5Mg3kDvFXK9pZD3APHDiLnx8kfLssMU5mCDmJeaTFNdq+8qcJY7xWWG8hJ+g9XzvrAe6BI9dB7x5du+eGzcbh4ym9RsTxYscpGshLwFvxWLnAlWHzS1LQBuGEiNwVlnaUtN5CVtBy15UkAq6OckG7mrDRuEfnTJpVcrewNF7hhXpa7U87CwJugXJBXxbpEVzsDRuNzwRHfbB3eqWle8d7y4wALytog2N2FgTcAkcP8XfbN7bV+o8hZaUr9XXWyjSQFbTVt3YWBNwCh7+D7iO2vyzeP394+yH5B4xkBX16g50FAbfAYUGX+9q6zlQosoK+vFRNWOBqKBd0lcTUkJaq8soK+pbMb6DAPVEuqI+EX9MzqvLKCvr2VFVxgYvB21Od9MMR2iYC+oY7QZe8om0ioG8UClouH6ryygoa/4yquMDFUChoXFzc3IDKw+dMrBmmbsgtWUET26iKC1wM5Yf4wU9mCNPsjoNU5ZUV9IdGquICF0O5oJUNTxltqqQqr6ygf1ZRdX0VuBgOCGq4B3l+FVV5ZQXNfVTmMTvgligX9PXSW4XpttKMDvF0Z437qiIDl0K5oKktSdmosqT1XVV55QWlbWUeVwLuiCPXQffMGD5rv8q8NgT9ueIdlcGB68DdhXqBF6ZpmwvoGIWCLk6ki02oymtL0PNB11TFBi6EQkEDetMyJlTltSUofXOYqtjAheDxEE9vlDunbTagWxwU9GyCyuFibApK3+mjLjpwGZQLeqndaLrBk5ST6TrZTmwLmlr5sKrowGVQLmiPSpto/Q7n29l67LhwbAtKVzXIVhUeuArKBS37Gb1KEumX5VXlLURQ2mqhqvDAVVAuaJk1dKlPOt2qbtjXwgQ9Xe6qqvjARVAuaPvHdz/Snd7tou62uMIEpaNfVhUfuAjKBf25Ail1nNYovrWQDRwbyCuPO6EYcw44dJkp7dhNStf9YbO1wwN5PWBNVFbaN3G7MuysD7gmbIahcXwgr3x0fDOi1aAnI7+3s0DgkrAZhsbxgbzysb/YOmG6vYLtrkiBa8NmGBrHB/LKx6yG3cXZSx/bWSFwRdgMQ+P4QF75GDL/kdXCbA56cnBn2AxD4/hAXvmY+Pbxiv9QOna6nRUCV4TRMDQOD+SVjx+rfBBSovHsSoWdkQFXhtEwNDIDee0hecwsNGNuDZ83QtuXsGM8JuC6sBmGxsQm2U5u7fgE3dbwUHRzvx110OWyO8NmGJq8jXbLvWOHoKPED9mY7u9MtCsVcE2UCpq6c+1F4ej79+l9XWw03tjXAGnTt6/1FnYIOnSBMEmv1XeUnRUCV0ShoL+FCYf3Ib9UEU+AbDTe7kcaNhUgtZs2td7CDkE/k/q5+6k4ulx2ZxQK2i1o5cmvyldutmbXUZsdN5xt2OR3qvIQfy/yvfs0Y0qFxuhpxI1RKGh58XvhTHKh0Ob3YwI+VSkovdg98NEyPS93m2RnicAFUSgoEcc92mDXE577wjr9o05QSlOO36L0eqhsFODyKBVU/GFok32PIN96vpxaQQ3sq4SOHNwWhoJS+tXw3+XeUiIoHdcJfYa6K0wFtYEiQe83LeRnK+CyKBXU28fHx5tIQyWpyqtIUHohZI+qbEC3KBR0Uj5U5VUmKD1QMUlVOqBXuOybyQof1bunbQFAH+hFUPoqumtyS3QjaHrj2dpWAHSBbgSlF0MStS0B6AH9CEr3VTitbQ1AB+hIUPpV2CVtiwD8oydB6XtRt7StAnCPrgSlb7bK1LYMwDv6EjT76T74Vd690Jeg9F6TydrWAThHZ4LS6zVxOdSt0Jug9Eq1WZoWAvhGd4LSSxEYbNaN0J+g9ELVzzQsBPCNDgWlf4Su1q4QwDd6FJT+GrJKs0IA3+hSUHqmCnpzcBP0KSi9UD1Go0IA3+hUUHqt/jD8puQOsBNU5ThJhZHSbKA0nGfuxlHDVmFgT5eFkaAajJNUGHfbP5VK6e0nm82e164exk10VdgIqsk4SYWRFV33Io0eKB7pp/RQHQ3wCRtBNRknqXDmhv4Y9Le4kF4qVYNwgEPYCKrJOEl2sKOip2EhXO6rBNA5bATVZJwkezjmOVY8xKeWwlPzLgobQTUZJ8kuooOaT3s/MbqfNtEAdzA6i9dinCS7+K9KseKP+AYV3qMu0CfMroNaHSfp+ueLjPhodM9cTM/9LwWMHIpPUFeFlaDZ59OleXqBvmdPDTThrdGP6RWFs6Pfavcvie+gLgobQbMm+xLfseLvO8tlttPoEH/fW5zefdV7gybhAHewEfQDr1HxI7xeocwFpcbroH7BMRgLxCVhI2iN8cJkFdnMXtChA8TLTG8//Xf7pue0iQi4go2g/tvFad/wdOaC3m7ZdPb8tvWv0tx55T7EPSOuBxtBG48Up/8GD2UuKM39etSw1ZKZSe3q/6hRUMANbASdT4btyqB0u2f/GNaC5mddxWE2x78D+oPRZabYUkT8Sri1EilKQem156tvYxEXOA1W10EzkzLEWda3cdbfZyMopQm1Op1lExk4Bb0+8iHL/bnlhv3HKDYoelxOUOHcbEDIQvTS6Cq4oKCUnugcviKHYXxQdLikoJTufyJqM9MEoIhwUUEp3Vqv4UZ8iuoflxWU0sSmdb7IYp4FsMWFBRUUbVntE1y51zcuLSil3z9bbuzFIskE2ODiglL616ig5w4UUS6gPS4vKKWpC2o//JH5wydAJ7iBoAL7+5V5cS/O6fWIewhKacq8eg9NwFif+sNdBBU4FRPWYA7OmHSGGwlKac6e18o9Ngu95OgJtxJUIGvXwPINpx1H57d6wd0EFcjeM7J66KCteJJeF7ihoCK/z24V0Or9Yzix5x43FVQgdduw2uV6LTyFoz3XuK+gIldWvFa93DNzj0idPkypX607uhLnDfcWVOTv1dH1ApqP+TLY9+kBkZ4rnV0OKAgEFUn9Nja4WHCXKVsHFccNenwBQY34f3z564kdK3o8MvKLn9KcXQzIA4Ia8TLc8hT4yowX6vlG9piw8oeifjb04NtvLc0o4pz8A0GNlJkmTrO8donTs/HTejfwD2k5cGb8z0U0fkj2y5HvfNSjGm4XMAOCGhnk9welOW1L51t1KfHTUT2ifCs07T1u0TenGd+aP7+1+Om5rB6uehUEgppoUaxmY/+SP1i+cfX71dMHtKvlW7Zu18HvLE04dYNJ+mbfLnmuY8zf1U8xia5fIGgee/p1nWnrp6UbJ7Z8MvnlDnXKFQ9t0u3ViXNX7/7lb+2+Mz7UqN2ahHHBjXZqFlFvnJwzdaNlB5q6HUzWiWRePrLls9hhL7SMCvEuGdGkY583p8z7YsuBU1fuqAga1lqc7vZy10/Q3CEBQaWCIpPM1+t3MFk+uP3nkR0r5015s1/XJ+pUCigWGPHok117DxwbO2fR2m17jp29kGJvz+RhdcWzsfl+7trF6ewS0b9eXlUmwny9jgeT5ZDsm0k/7d365aIZk0YM7NW5ZcOaVQK9SWCFiLoNW7fv1Wfg0JhJM2YtWrRuXULid8eOJSVdSknJ60Qq/KWw0dPbRDXf5cz6nUjIc+L0N09zX3Q9mKwuyE35J+mXY7t3rlu1aMGM2JhRAwf26tWxbYuGDSMiQgMDixMSEBgYFhERUO3hsPC6rX069+rVf+DAgW/ECLw3QyBOHFZq2TqRjYkSB44ZOJ1k5GpKHmq+ZTgV7wRpVnqO2fqiHUz2h7YmvD5UEs+lSU1JuZSUNL/KlqOJCU83Fjz8QjBygejmeNHSQeKwUi/1EnnasO+aNzRQO8JISGAeASQ/3oEWhETIU6uhOh5r6zjFotq2FZzwM//gKtrBZFMTTUTuVxLPHVgY3LVveA9tH4++n2LB1SR5zhxTx5FEx4mokpB4mS7yvGb2JzhrMNmmh5XEcwtubFnprqfwAt/7hr67sIvf8+brnTWYLAQFBUmsUqa8X4xFz8NFO5jsAyAoMCP3/PF0y7XO+iUJggK7gKCAayAo4BpnCdq6pOUlOn/iwQyGoVmi07KLWf7jOorXH84RNN3yCl3Kl23OMyPsO2ahJ73KLPQfXsxCn+87jVno3ZFW/nUdxO7nGjQW1BpburGLHc6uR6Y5I5iFzvJiFppGf8ws9JlazELLA0HlgKDmQFDlQFBzIKhiIKg5ENR+IKgcENQcCKocCGoOBFUMBDUHgtoPBJUDgprjqoL+Gccu9hR2HYQc+JpZ6NzRzELT9UeYhf4vllloeYpAUAAcB4ICroGggGsgKOAaCAq4BoICroGggGsgKOAaCAq4BoICroGggGsgKOAa9oLGNy7d6gSTyBuljqIGMIicuFmasSjdEJpF6QseC6g5SxxRT/uyTaHZ7XFZmAu6zWPI+o7+l1iEnh0cJ7BP+8A5TaTbjViUbgzNoPRYMnLbOK/JLMrOC81sj8vDXNBWHSlNC5vAInR0GxZR6eWP/0cki7QvPS+09qVnlhomTEf5Zmtf9oPQjPa4LVgLmkKWCNPB4SxidxzIIird0by5j2gRg9JNoRmUnkTEbvDjyXnty84LzWqP24K1oL+SQ8J0nodFB5EaUKNDA/96ixgEppGiRWxKl0IzKD3jnDi40wjfdO3LzgvNcI/LwlrQ3eSMMF1JGIzjllM8aN6mAWS29pENFrEpXQrNqvRVXmNY7XExNMM9LgtrQRPJWWG6gtga/ctBMteIw0P1L2VrGDkHkSxiU7oUmk3p1/uRl7PYlG0IzXCPy8Ja0JNEfEZmfglmCTaSc9oHlSxiU3rkg+eRNC59e3D4JsqmbGNoA0z2uCysBb3psUKYvlmNQeh/j4lDCG8h5gNIaIBkEZvSpdAsSt/uGS11tc2gbFNohntcFuaXmVo/Q2lWRAyDyIlktTAdVIVBaMPHHJPSjd8eNC89q1I/45LmZeeFZrjHZWEu6A7Pdw72CWTx+Hr2Y8Gx24cVW88gtEFQJqVLoRmU/i0Zu1wkXfuy80Iz3OOysP+pc32T0m3Y/NSZNrxWyccTWEQ2flFkUbohtPalxxlHobumfdkPQrPb47LgZhHANRAUcA0EBVwDQQHXQFDANRAUcA0EBVwDQQHXQFDANRAUcA0EBVwDQQHXQFDANRAUcA0EBVwDQQHXQFDANRAUcA0EBVwDQQHXQFDANRAUcA0EBVwDQQHXQFDANRAUcI3Ggm6aAYAdzLrnHEGb9osBoHDK/+IkQQ9rGw+4KHUhKOAZCAq4BoICroGggGsgKOAaCAq4BoICroGggGs4EvT4zIlrs7TNAnQPN4LmDK0ydnq7h//UNo2euLN3M4tRonQON4LGPXFXmC5spG0aHbG8YsunQvrednYZvMFK0Ozz0qCNNF1muEYLQZ/YLU5zI04ry+My7Ij4jdK01591dh28wUbQrMm+xHdstrC0XGY7C0Gr/iXN2u9UkseF6LhWnGZWuOTsQjiDjaAfeI2KH+H1ClUgaLO90qz6KSV5XIhww/fPdrucXAdvsBG0xnhhsopsViDogpbid4LF9XOV5HEh6v0ozR496uQ6eIONoP7bxWnf8HQzQX/Puw81MN5sk+xXq035qHvkb0rSSPz99TpXOPmdIB5v6MFQXGgrCBtBG48Up/8GDzUT9MpM0538JRZabPT91OHLM5RkEcmdGNyjZ8XBmUq3447bDbpvOxAbXLQjBOsANoLOJ8N2Ca5t9+wfI7NdwOdK4skzu8V14R+3x0htojmT+/M6Nx/6l7Or4A5Gl5liS5FzwmxrJcJY0Konxen1Mvr/CAVWYXUdNDNJOlpnfRtn/X2NBL3vbTipCv9Lk3CAO5z1S5JWn6ABKeI0q/QtbcIB3tC7oH2miNPPWmoTDXCH3gX9u3qfTTsGVVZ+dQroA70LStNmde807T+NggHu0L2gwLWBoIBrICjgGggKuIZvQVNP39U2LdAbPAt6pVfJhwP6/KNtYqAvOBY0rcY7GTRtfBR+ZndnFAq6MB+q8toh6K8d898AAAxySURBVOLu0qz9alWJgL5RKGi5fKjKa4egb8yXZrNGq0oE9A3Hh/iRH0izaRO0zQx0hcOCJr+tKq8dgm5uLD4Wer9uoqpEQN8oFzR39djRAp3Lqsprh6C5nTr/mHqk7dOq8gCdo1zQd0hN70pNQ/xXqMprz2Wm+3PqBtRfgKfI3BrlgoYPp593pmlNttlovHn0A6y3wC9JwC6UC1piKz1emdJNj9lonNiE+EQayb/+SFsTnrMdqRa4HcoFrfYhveNxne4PsNU6u0Vza6vv7U404vuZgiKB+6Jc0GGBcbRu9LletWw2X2hV0AfgEA/sQrmgt595lh7wJt7rbDa/vMN2OAhqwT/rF//o7Br4w8HroCm7LqjLC0HN+TC452s1Ol53dhm8wfEvSe7F+oevUJo1toOz63AiGTesrFQuaFcTqoqBoGa02SxOsyonObsQZ/FLa79yleNyzFcrF/RlkR7Bxd5QVQ4ENcPdO/A9XWFZFj312CTz9Y4e4u+2b6yqHghqRkNDh6mP/OTkOpxFn4/E6fUy5l3EOPwddB9R9X0egpoR21PsZSohwuIY5yZU/12atdxrtt5hQZf7quoLGYKakda6+fJNb1U44Ow6nEVNQ+cwzfeZrVcu6CqJqSHqukOCoObkrn6p+xRr57HuwSvvidPLgXfM1isX1EfCr+kZVfVAUFCApIozD323pc4s8/W4Dgr4YJGfZzHPzmnmqyEo4ILvQg/TzJTnXjJfz/FDc8Cd6PaFOL0XdNVsvUJB4+Li5gZUHj5nYs0wWzcsFw4EBQWIMPyE1tb8CTTlh/jBT4q9z2d3HKSqHggKChB1Qpo1PmS2XrmglQ1DcG2qpKoeCAoKMHKYOP25gnk/Mg4IOleaza9SyAaZN1JsvAtBQQGSq7925OynIRZ3GSsX9PXSW4XpttI2D/GXJoR7EFIicpzcKIUQFBQk9e0mtXr/bLFauaCpLUnZqLKkta2OEY/7hQ2Zt3LF/DciAi1TSkBQYBeOXAfdM2P4rP02G7fsZLzgmvVCW+stICiwCzYX6kvljWV8oEz+9XsDTXj4BgYGXaL0pUDMMbc1Vybo4kS62ISNxo2iTUtTCz4+fyvFSMC8lJTbworMFMwxtzGPUiZoQG9axoSNxvEenZYcOnP2yIpnPM3HhTeCQzywC0a/xW9rRUQ8Wss9fQxBgV04KOjZhJuFtE/5NTHxpHwjCArsQrmgl9qNphs8STmZ60d2AkGBXSgXtEelTbR+h/Pt8NgxKAKUC1r2M3qVJNIvy6vKC0GBXSgXtMwautQnnW612btdoUBQYBfKBW3/+O5HutO7XRqpygtBgV0oF/TnCqTUcVqj+FZVeSEosAsHLjOlHbtJ6bo/1OWFoMAuHLoOeumU6rw8CnrpsLt268ExDgj6TUVCaJv56vLyJ+jSAA8vj24YGJQzlAu60mvgSkIneyxSlZc7QdcVG0HpvjJNnF0HKIhyQR8eQZOFF2OiVOXlTtCw58XpOQ+V362BxigX1G+HJOgOf1V5uRPUe5c0C5zj5DpAQZQL2mCKJOi0uqrycido8U3SrJS6UcaB1igXdJl37CFyfUlxdR813AlaW+qt7zuPf51dCCiAA2fx84MIISXGqeoelD9BD3u2OnFjqncvZ9cBCuLIddC7R9fuUduRJXeC0mPVipGSU51dBTBDqaCpO9depDT379P7uqjKy5+ggEsUCvpbmHB4H/JLFfFxDgeyZSWZ8IegwB4UCtotaOXJr8pXbrZm11FbHTfIcSDCRLGZDmxujbPPBpftdEyjYIA7FApaXvRqJlE5DiLV7hD/Y/CCf28ur5igTTTAHQoFJWuFyQYNelvWStDWK8XpnpraRAPcoVRQ8TH3TfwImlMiXZoH/6NJOMAdOhc0q3i2NA+9pEk4wB06F5TWl35CPx2COzldFKWCevv4+HgTaagkVXntEjTp3dffL+R8bHPV/ZSeiIpTVQzgF4WCTsqHqrz2CPpphdGfjQhearvR5siQhyotV1UL4BiOx0k6XfGiMD0X/Gch7a5e1KQiwCUcCzp1nDR7S6tL+kCPcCzokE+k2UfDtc0MdAXHgr47QpoNxj3u7gzHgp4vL9b2Y/kr2mYGuoJjQWl8hb7TXqi4RdvEQF/wLChNXjx5ma3RwIDrw7WgALASNPu84S6O9GvW34egwC7YCJo12Zf4jhXv41gusx0EBXbBRtAPvEbFj/B6hUJQoBI2gtYYL0xWkc0QFKiEjaD+28Vp3/B0CArUwUbQxiPF6b/BQyEoUAcbQeeTYbsyKN3u2T+mwHbJ60z4fGqx0ZlP3t2O+45BQRhdZootRc4Js62VSIHtfullImC12Ra5MSFDJjzeSP3zosClYHUdNDMpQ5xlfStzr3vTw2Yrlja+JUxnPq4sDXB1mP6SNO667FsWgv7vG3Ga+9BZB/IA14WpoETeNgtBq/4lzdrvdCAPcF24EbTJfmlWy956gHvAjaBzOmQJ06/qqOt2FLgaTAXdfU/2LQtB7z9X54PFfcLUDfINXA5n3W5nISilu0a/ttCRLvOAK8ORoABYAkEB10BQwDUQFHANBAVcA0EB10BQwDUQFHANBAVc4zRBxy2y4N0OfZnR+kVmoXt0ZRa6byt2obs8wyz0Cz0s/3EdpbKTBP18oCUtA2ozwzuSWegKZZmFruXBLHTtwIrMQkf4WvnXdZBht50jqDW2dGMXO/w8s9BzRjALneXFLDSN/phZ6DO1mIWWB4LKAUHNgaDKgaDmQFDFQFBzIKj9QFA5IKg5EFQ5ENQcCKoYCGoOBLUfCCoHBDXHVQVNeJpd7OrshkNeMIZZ6Gx/ZqHpsM+Yhf4zilloeYpA0Oxb7GInswudzvBJP4Zlp2awi82wbFmKQFAAHAeCAq6BoIBrICjgGggKuAaCAq6BoIBrICjgGggKuAaCAq6BoIBrICjgGvaCxjcu3eoEk8gbicgABpETN0szFqUbQrMofcFjATVniSMCaF+2KTS7PS4Lc0G3eQxZ39GfyV1xs4PjBPZpHzinyWhxxqJ0Y2gGpceSkdvGeU1mUXZeaGZ7XB7mgrbqSGla2AQWoaPbsIhKL3/8PyJZpH3peaG1Lz2z1DBhOso3W/uyH4RmtMdtwVrQFLJEmA4OZxG740AWUemO5s19RIsYlG4KzaD0JLJLmMaT89qXnRea1R63BWtBfyWHhOk8j0wGsWt0aOBfbxGDwDRStIhN6VJoBqVnnBPvVB7hm6592XmhGe5xWVgLupucEaYryQ3tQ+cUD5q3aQCZrX1kg0VsSpdCsyp9ldcYVntcDM1wj8vCWtBEaVi6FSRF+9CZa5KEaf9SDAajlyxiU7oUmk3p1/uRl7PYlG0IzXCPy8Ja0JPkiDCdX4JZgo3SCPYaI1nEpnTDIV5C49K3B4dvomzKNoY2wGSPy8Ja0JseK4Tpm9UYhP73mDgA6BZyTfvQkkVsSpdCsyh9u2d0ujhnULYpNMM9Lgvzy0ytn6E0KyKGQeREslqYDqrCILThY45J6cZvD5qXnlWpn3FJ87LzQjPc47IwF3SH5zsH+wSy6F8h+7Hg2O3Diq1nENogKJPSpdAMSv+WjF0ukq592XmhGe5xWdj/1Lm+Sek2bH7qTBteq+TjCSwiG78osijdEFr70uOIgWval/0gNLs9LgtuFgFcA0EB10BQwDUQFHANBAVcA0EB10BQwDUQFHANBAVcA0EB10BQwDUQFHANBAVcA0EB10BQwDUQFHANBAVcA0EB10BQwDUQFHANBAVcA0EB10BQwDUQFHANBAVcA0EB10BQrelp7CiGTKcBi51djP6BoFpzOD4+PuwJYXKG9k50djH6B4KyIKq3sytwGSAoC4yClhEO8aEfNfOL+ORq1zIPiX1rLm/oV2epc2vTGRCUBfkF9X77264eoR/taOKTSud7v71juMcnTq5OV0BQFuQXtBelZ8lblG4jp+4GxQprXw92bnH6AoKyIL+gMynNJl+Klv58lBxKTk5eSZgMDOmiQFAW5Bd0tihovCToWuMFqJNOLk9PQFAWyAi6h1x3cmH6A4KyQEbQ6yXEYTQnF/2IrDoGgrJARlAaU3z6jjEe85xcna6AoCyQEzR3dpTfw3FOLk5fQFDANRAUcA0EBVwDQQHXQFDANRAUcA0EBVwDQQHXQFDANRAUcA0EBVwDQQHXQFDANRAUcA0EBVwDQQHXQFDANRAUcA0EBVwDQQHXQFDANRAUcA0EBVwDQQHXQFDANf8Hpqlws4GXNvMAAAAASUVORK5CYII=" 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" /><!-- --></p>
 <pre class="r"><code>summary(m.L2.DFOP, data = FALSE)</code></pre>
-<pre><code>## mkin version used for fitting:    1.2.2 
+<pre><code>## mkin version used for fitting:    1.3.0 
 ## R version used for fitting:       4.2.2 
-## Date of fit:     Thu Jan  5 14:50:15 2023 
-## Date of summary: Thu Jan  5 14:50:15 2023 
+## Date of fit:     Fri Feb 17 10:41:54 2023 
+## Date of summary: Fri Feb 17 10:41:54 2023 
 ## 
 ## Equations:
 ## d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
@@ -1988,7 +1988,7 @@ only the L3 dataset prepared above.</p>
 mm.L3 &lt;- mmkin(c(&quot;SFO&quot;, &quot;FOMC&quot;, &quot;DFOP&quot;), cores = 1,
                list(&quot;FOCUS L3&quot; = FOCUS_2006_L3_mkin), quiet = TRUE)
 plot(mm.L3)</code></pre>
-<p><img 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" 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" /><!-- --></p>
 <p>The <span class="math inline"><em>χ</em><sup>2</sup></span> error
 level of 21% as well as the plot suggest that the SFO model does not fit
 very well. The FOMC model performs better, with an error level at which
@@ -2004,10 +2004,10 @@ as a row index and datasets as a column index.</p>
 using square brackets for indexing which will result in the use of the
 summary and plot functions working on mkinfit objects.</p>
 <pre class="r"><code>summary(mm.L3[[&quot;DFOP&quot;, 1]])</code></pre>
-<pre><code>## mkin version used for fitting:    1.2.2 
+<pre><code>## mkin version used for fitting:    1.3.0 
 ## R version used for fitting:       4.2.2 
-## Date of fit:     Thu Jan  5 14:50:15 2023 
-## Date of summary: Thu Jan  5 14:50:15 2023 
+## Date of fit:     Fri Feb 17 10:41:54 2023 
+## Date of summary: Fri Feb 17 10:41:54 2023 
 ## 
 ## Equations:
 ## d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
@@ -2016,7 +2016,7 @@ summary and plot functions working on mkinfit objects.</p>
 ## 
 ## Model predictions using solution type analytical 
 ## 
-## Fitted using 376 model solutions performed in 0.024 s
+## Fitted using 376 model solutions performed in 0.023 s
 ## 
 ## Error model: Constant variance 
 ## 
@@ -2091,7 +2091,7 @@ summary and plot functions working on mkinfit objects.</p>
 ##    91   parent     15.0     15.18 -0.18181
 ##   120   parent     12.0     10.19  1.81395</code></pre>
 <pre class="r"><code>plot(mm.L3[[&quot;DFOP&quot;, 1]], show_errmin = TRUE)</code></pre>
-<p><img src="data:image/png;base64,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" 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nSgVuwCzb6TbuazFgLNrX5T7nxQJjEKNHWmt4MgVPINuyKxgoVAyYD1suaDsopNoKecvIIjYqIjJ/i4nTG9hqVAPxkjZz4os9gE6h+YoVvIGdbD9BqWAr1QT858UGaxCdQ5Vr902NX0GpYC3ePyJp4wAqwCbRuiX5rbwfQa5gO936N1qz6tet6XMyeUSWwCjXUIXJ14Ifl49MBysabXMB/omNfzYgbljR0nZ04okxg9io8LEDQcusVLrGA20Bznu+SWW26aC55Yb/eY7QdNP5eQkHS3yAcPCoUWmfnaO5pTizT7kbjjBA52j+mRpHuXJC95ZP43aLV7hExckO6cU4JJoUxhFGhMxyRyq68gVPtYYgXzf4OOnpBPvu0egn2hUKJAU3+xsHKE0PUWebbOit3Ty0tcu9h8oOlPd1g4t1xXXDkeShDonlqCQLqbfdWQdzght4QfxKWwp0yvYWE/aP43oWFNsCMUShBoTPlxMQKZ7bDSzMruWwn5RXgoLsVXM72GpR31ojmhVm4alGHyA206maSJ70xvbmblAb2zxUc6+8Wl8BLtqNf6oa2VmwZlmPxAneK1gcZXMbPyBY/mHx6c7/nlwfAKG0yvYUWgj1ywlwnkB9p6jjbQ98w+pfhScHXt3s5mmyRWsCJQ8hJeHQ/yA11TYV6icHt1xaXm13905diuRKlng1oX6I/eOJJk90rwKD7SXfzVWCksX9G81gRKOkkcyAf7UZL9oA9PbDpwR+G8VgW6tZ3CWUD1OH3RnE6eL05Wb+/kB9pXT9G8VgVKPhmsaBJQP/mBjtYY4PE/Zef3si7Qfz1SFM0CqlfSu/iHzyr7+9C6QEnYW4pmAdUr8d+gh4TbSua1MtA/3LCz3r6VONC1lRXtZ7IyUDLyAyWzgOrJD3Sd1tza/ormtTbQpDrZiuYBlZMfqKOWk98FRfNaGyjpsULRPKByXO8H1ThfM5nuzKAq3AdKPmuDO3k7JjPQGgYUzWt9oOT5cPEmZ+WIF5f+q2hKUCOZgUZFRX1ctc6kpW839opTNK+MQO/U+Y7cbtE3emNQ/d8UzQkqJP8ufvwzWeJt7nOvK5pXRqBkn1faq9M1C592VzQnqJD8QOvongO3w1PRvHICJZMHuv6leZvjau6cuFAWlSBQ3UvdI5WdH1FWoFkt/6c7KuCL+3h7Iz/QsS47xds4l9K7iyfkt/KzNG/uuWQomhTUR36gD/yF6s2rC90eKppXXqBkRmXxoXzmcGX/U4AKlWQ/6IEPJn30g8J5ZQaaO7Z8s9fqv4z9THaH/x31BU76BCTR3QRQA5mBfpFAvtBTNK/sQMm9jqPxC9T+yAy06kvEVU/RvPIDJQ9HNDmtaE5QIdXcxWts8ZgjecJRKJtKGGjy7qInT5apRIGS35/pdl3ZvKAy8gNN7TmNbC0n1JC4QpeVShYoyX3fIwKnXbYn8gMd4LmDtOp1pWdpvOzYhIt9GuFS3XZEfqDVV5E/hQSyvqaieUscKCEJTXv8qmhuUBH5gbpuJF86ZpKdVRXNqyBQkr2oRnCqotlBNeQH+myn/U8+Tx72UXZ6WSWBEpI2p8Y4PFqyC/IDPfOY4HyKNKq4U9G8ygIl5M4M9zfxW9QOlGA3U8bJu4RsvqRsXqWBEvLXdPeRlq42AqrH5jI0likPlJB/Pq7b+VvlwwDP2FyGxjIagRKS9Xnjtuvwos+yjM1laCyjEygh+Ql9a4XeoDMWcIjNZWgsoxWo6NdxbsPfGPjip/hNWhaxuQyNZRQDJeSYa7WGwf2b/UVxSOAEo8vQWEQ10K6f58UFenQYQnFI4ASzy9BYQDPQO26ay9WkhDg8uxVPJClr2F2GJvuOuRex0wz0N1/tm/zy0V09Z1+jNy5wgNFlaFJnejuIFfuGSV3Ki2agGc7a/xXONiDk3Fvugdse0RsabE1uoA/2bvpd/GX1x6+H+phZ+ZSTV3BETHTkBB83iaeNUv0bdPywfwlJe3qJZjkz5una4bj0QpkhM9DzXuLde/DZeuKtg5mV/QMLzrCQM6yH6TWoBpox0mvEi4+F6l8OcmHqYwHrMimOD7YjM9B+7jFJG2rW6bhx3wlzJ25wLryG4WGJ19ZRDVRsMnrj7wbvZscGur9xkuoMYBsyA625SLxZJFh6JNI2RL80t+TXi1fm+nveLZYpvWAj2JzMQAXN5bW3WnyFZ6xD4OrEC8nHoweWk7geLPNAxT+UD4xwHbgTO57UTW6gmt52WH4JclyA9nLxDt3iJVYohUBF91d1qjUVJyRRM0aBEpJ+LiEhqehrk38L1auo8NlQVrv4tlebSNzVqxazQLV2FLkaXeoHepU+tXYMxfISRrj235pVavMBTXIDreDo6FhB0F4qyZov2i/1mdK5i9d7sLZbjeCjii6NB7YhM9BZBsysvC1IR+geFGR6jdINVJS6oGmDOThBs+qwOTfTLiehjZ9IaOLnZ3qNUg9U9POkWn6ReE6eujA6eVhym/YXCT938Xq58UGugTEPbDE1lAyrs9s9Cq26gr9ARf+u7+sy7Fs8+14t2J1+8ZBX4E0OAxWlrXjafexBnMhRFRieH/TeizX4DFSU+tFTnhOP4WE9/5iewHbDpItSn7JxoKLkd5s8HopTNvNOVWdYpu1seINGs3B2Eq7ZdaCin6bXbzpXezbH3NVDnwv9w9bbA0XYe6CE5B+bUq/ZnHMPO/fcuDvM44CtNweMIVBR/vGp9Ws017w45UD9XFtvDBhBoDr5jYK8fUN/Ii1/svWWgBEEWsD7Cvk5vFH9ekuxf5QrCLRAz62a2zPVmtZ6fS+OM/EDgRbY0egKIdlv9SOXP+xU/eUtOF7PCQSqt9yjz/DHX9C+BuBmVC/nfl/geU88QKCF7uxc999O+783vOjW5SM8f9TmEKik7D3j6zQJTcSDJptCoObk/zS7pcerW/EHqe0gUEuuRfas9tzy3y2vCCwgUCvc3zKyRsvwozjIZAMI1Dq5iTNb1hix0dwpT4EFBGq91BX9nLsutPYfDKhAoLJk7nmzQd2x2/6x9XbYDwQq28WPezkHLMIv0tKBQEvi310TfD1f2VT01FNAHwItqZTl/Vz83jmK0zuyhUAVyD4Q1tptUJTUhSKAAgSq0F/rRtX2Ddl+z9bbUVYhUAqSlvSq5jfrEJ5GygACpSPrQHg758DFp3EuCMoQKD3pW0Ma1XxxJZ6jRxMCpSt1zYg69UZH4wr2tCBQ+pJXDKnZcNyGm7bejjIBgTKRnxQxwK1pyCa8bEQpBMpM3qml/TWR4jepEgiUqdyfl/av/sS4r/E3aUkhUObyzkYM8vAZ9eUlW2+IKiHQ0nF+ZZBXrSERp/GsfJkQaOm5Gj22iUvg/O8zbL0haoJAS9ft7VP9nDpO3Y6H91ZCoKXv30Pzers2HLXqHF5ybxkCtY28X6JGNnQNfG8/Xj1iHgK1ob92zOhStcX4ryQvNQEI1NYenYgYVt+993v7/rb1lvAJgfLg5vbQZ6o1Chi5Hi8gKYpdoNl3zJ3lAIEWtbh664YVy/tN3XjV1lvCFUaBps70dhCESr5hUq/XQaBFbGl6nZCcie0WvlDHo8/cXbdtvT28YBPoKSev4IiY6MgJPm5nTK+BQIvovkNzm+Mp/h99Y/vMnq7eQz88eN/WG8UBNoH6BxYcLckZ1sP0Ggi0iMevat88u1f3bv7FdZO6VGsy4uMjD223TTxgE6hzrH7psKvpNRBoEa2Pad88edLgY7lJX77RoUrzUR8ftt8zlLIJtG2IfmluB9NrINAi3huqeb3dXp9izybJOf1FcHunJsOXHLTLHVFsAo11CFydeCH5ePTAcrGm10CgRWT4Px397eTHfjD92ZwzX07oXLXBkIW7b5XuZtkco0fxcQGChkO3eIkVEGhReTEj+s82+xyS3PNfT+vu5tnn7S0p9vPqZmb7QdPPJSQkFT27Vl66XhUEWkJXt7/Tv75zlwmf/5Rp600pDawCzb2i++fLNLpLOuTuVsBhkbzxwEj6d0tHtarc7OVFe8r6BcTZBJozu7JQeYbm7/21El+Hu3jlsk+vndKjZs3uk9f8XHZ/mbIJ9MPyU2Mnl3+FIFD2/tyzKKhF5aZD539zuSz+Zcom0Ebh4s064RsEWkoenf06tHe9ah3GRuwvYwdJ2QRaZZfmNsg7E4GWpnuHo0Keqe7R7c2VR8rM6SDZBNpuiub2L483EGjp+2Pf0jEdqtV9dsrnx8rArn02gUYKb+3LImRXuZGhCNQ2rsV/+Eq7anV7Tlp5WNWn0me0m2mes5AivtnpKSBQW7q2e/GYjq4eAcGf7FfpyU1Y7QfNvpyleZPzXZTpzyPQUvTH/k+CA2q5dBi9cFvyI1tvjEx4yYfdSE9cPaN/w8qNB4SuTkyz9cZYDYHamexfty4Y1cGlRqdXP9j2a1bRz+YlxZ3na28qArVPtw6tmtavkaNPrzc/3Xul8Cl+Z9o80cena7ItN6woBGrPci7FLRnfvZ5j0wHTVh5Izb9T+2tC8j/z5ulJ/AgUSMbZ2A/GPFPbsXb96Su/u5Y34Ctbb5ABBAp6Dwe+vnDMM3UdazaY9En8RU6u+oRAodBk7XMgM14dvji4l2+l+t1eW7jppLmTG5QGBAqF9jXTPG3vfv1TmndyLidEzRj0lItb68EzovZestUvVAQK/xn91JazXz8xzehjaT9uXDC2u0+les+MnvvVD9dL+5SRCBQMxD7fYtAek5/JuXpg9aygzp6VfHu8Nn/dkRulFSoCBVmyLu5dGT6sY20x1Fff/er7a9ROd5a/ZeyQ+cWf14JAoUSykveumjWiS71KXl2Gh6+IO6f0RLyZvfxWbQ6plVj04wgUFMm59kP0/HGBTau6Ptk3eEHMD1dL+GyUBS9oDrHG+Rb90wGBAh13z3z7aejLXepV9PQbPGnp5qM35N35tzmqfdP8VJGPI1CgK/fG0c1LJw3uWKdinY5DJi3ZeOSaVXuoipw8rRACBUZyrh/dtGzy0M71KtZq3S943tq9v5p7BUrATs1tbt2UIh9HoMBa/p8nv1n+9qieTZ2dGj89fOqyjYdTil/LbEPzm4TkvV3sbJ0IFErPw+RDMR9NHNrFx9GtWc+RYRFbjlwuTHWhx8tvNO9W7NxoCBRs4e65vV8teGtQZ5/KLk38h09eHLP/3NmvPz1SfEUECrZ17/yBdUumBHVr6l5pmolPI1DgRVaxV6AQBAqcQ6DANQQKXEOgwDUEClxDoMA1BApcQ6DANQQKXEOgwDUEClxDoMA1BApcQ6DANQQKXEOgwDUEClxDoMA1BApcQ6DANQQKXEOgwDUEClxjF2j2HXMXiECgYBVGgabO9HYQhEq+YVckVkCgYBU2gZ5y8gqOiImOnODjdsb0GggUrMImUP/AgpOW5Qwrdj49HQQKVmETqHOsfumwq+HHzw7Rq7BMznhgt9gE2jZEvzS3g+HH727Wq3dAznhgt9gEGusQuDrxQvLx6IHlYk2v4XdMznhgtxg9io8LEDQcusVLrIBAwSrM9oOmn0tISCp+4TA9BApWsdWRJAQKVkGgwDUEClxDoMA1BApcQ6DANZsFGraymPd7BTEQwGLQwEEMBh1q79//8OJNrKxjo0A/H1ecf9UmDPyvMYNBXTwZDOpl799/DRNRvHXfNoGa8m0/FqNWLn7hUuVGfsVgUHz/Sr4agRri8AckxV6+fwRqiMMfkBR7+f4RqCEOf0BS7OX7R6CGOPwBSbGX7x+BGuLwByTFXr5/BGqIwx+QFHv5/hGoIQ5/QFLs5fsvhUB3v8BiVJcsBoO+up7BoPj+lXx1KQSae4/FqGksBr3/iMGg+P6VfHUpBApQcggUuIZAgWsIFLiGQIFrCBS4hkCBawgUuIZAgWsIFLiGQIFrCBS4xj7Q2HYuAadpDvhJh6qNP8qhP/KubYTyoBdecPeJpD1ozgcNq7TeQnXUhG+I0Xh0Bi4YVeGPi3mgcQ7BW56rkkpvwHnClLiw8rOpj5zsFEToDnrJIzA2TFhHeUtnVVoYN17YRXHUvPbTNG8Kx6MzcMGoSn9czAMNeI6QDK+Z1MbLdn5LvJ1aOZfyyI/aCJpAaQ4a3DybkK6dKP8beE4Sb9oNpjbq9eVPC9qUCsejMbB+VMU/LtaBpgurxdvx3tQGvCzsE29jhSuURw5t3yaI7uY+qv6heHsrifK/Qc13xZvefamNGt+li6MmpcLxqAysH1Xxj4t1oOeERPE2wiGb1oBZKZqnkk+unEl35ENVL/oF0d3cK8LBnHN/Edr/BuPrnEhbWWENzVF9NSkVjkdrYO2oin9crAPdL1wQb2OEO1RHXVd+Ot2R79VbQTSB0hz0mPB+NUHodYvyv8GjtoIghFDdVG1KhePRGlg7qpaSHxfrQBOEZPE2WjB3BVq5bo8QRufQHfnFQKINlOagu4Ta+x58X6cv5X+DsZ5rjiyotormqNqUCsejNbA+UGU/LtaBJgnHxdvIShSH3OXhvYPyyBvcb+oCpTloovCleLtCuEf13yBZ+0fdPPc8iqNqUyocj9bABYEq/HGxDvSuQ7R4+2YDeiPuKheSSXvkSYLODpqDin+Dire7hUtU/w2ihTTtqL9RHFWbUuF4tAbWBar0x8V8N1O3gYTk+IRSGy/HcwT9kS/uFzXpvv821c1tGi7ezKiWR3XQE4Jm//csx0cUR9WlVDgepYG1oyr+cTEPNL7cu0dedpO6vrx83wkz1mpkUh9ZcxdPddCNFWbunll+GeV/g97ukXverjCP5qi6QAvHozSwdlTFPy72hzq3tHfpTvGAZFTBvfEt6iNrA6U66Ib2VVutpT3ov+GNqrT6PJ/mqAV/LRaOR2dg7aiKf1x4sghwDYEC1xAocA2BAtcQKHANgQLXEChwDYEC1xAocA2BAtcQKHANgQLXEChwDYEC1xAocA2BAtcQKHANgQLXEChwDYEC1xAocA2BAtcQKHANgQLXEChwDYEC1xAobYMLTvYizCdVv7D1xqgfAqXtWGxsrFdn8eYCeSnB1hujfgiUheYv2XoLygwEykJBoK7iXXzdZR2dfD77s69r/a/Fj6xt49TsSydoORQAAAEJSURBVNtum8ogUBYMA63wznd9Heoui2/v+IBEVngnfpLDZzbeOlVBoCwYBjpEc175iYTECb88dJ8nfnSsh203Tl0QKAuGgS4iJFdYr6n0zAkhMS0tLUageGHIMg+BsmAY6GJNoLHaQDcV7IBKsvHmqQkCZUEi0APCbRtvmPogUBYkAr1dSXO9ytndbbtx6oJAWZAIlIRWnB8/3SHCxlunKgiUBalA8xc3d2oaZeONUxcEClxDoMA1BApcQ6DANQQKXEOgwDUEClxDoMA1BApcQ6DANQQKXEOgwDUEClxDoMA1BApcQ6DANQQKXEOgwDUEClxDoMA1BApcQ6DANQQKXEOgwDUEClz7P//f9kPJgvsoAAAAAElFTkSuQmCC" /><!-- --></p>
 <p>Here, a look to the model plot, the confidence intervals of the
 parameters and the correlation matrix suggest that the parameter
 estimates are reliable, and the DFOP model can be used as the best-fit
@@ -2119,24 +2119,24 @@ mm.L4 &lt;- mmkin(c(&quot;SFO&quot;, &quot;FOMC&quot;), cores = 1,
                list(&quot;FOCUS L4&quot; = FOCUS_2006_L4_mkin),
                quiet = TRUE)
 plot(mm.L4)</code></pre>
-<p><img 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" 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m0CBXUhXAgKcOdN71ekX693B/hZPO/QCWp/hGWnEnpzkvcE99+Kh4LyDpWgMiMsO5nQq+O8p7j7W58oKO9QCSozT5LTCb04yntqmpN/6xwoKO9QCSozTxJFQs+P8JnuTkVRUN7hboTlc8N9ZrhP0UF+ofT4lfwEHwVlC9MRlnNGm8a9rxNM1aRzw7ynplLVQE7maRZklaiRWtAomxIUVA4lQYu2bYeE2Dk51tfGDaaZQ1qEUjbq3AjvKXqddJtC0JtxIhXi4iTlKKgcSoKOi2zTo82n3aSDrzFI6IXRVV5TvkLOIxSCFkz2Wbp5s+/m4uPizPqmQ4iK/kxapk+oBK2amV/pJKQHSYqZ9PjLE7xHn2dQj7uh2sXva/YNlByv+oLpCCKmLm2jdAyVoMFpmY/+BjeqS4oZ7ZKux3sP+R+TmtwJ3THo7X7DbIeyw128HEqCvhNYfWL41CbTJcXMEnprtl//o4zqche0J0kJMTZFKKgcimfxfx6FA/GbpKUME5qxKLDbT8xqcwd4mYktnNwsImVr34GWORpzVtRsx/5/7jpQULbwKejCRpvWhSZYXhRsfCLiCx7GySECBWULn4L6nQP4qUnxy6JvWtdeleMgniNQULZwKWheeeEN87pfyaKD3QLm237lkkNQULZwKSg0F068FvW4v+zvl7zH6+DCKArKFj4F/SukVUR9GxsvT/YZYHN3NG+goGzhU1DIOfBLgZ3i9HeqddzJ21xL94OCsoVTQWXJ39ikwVrNR8xxAArKFr0JKrA3KmA2v/c6oaBs0aGgAP8MrzyMt+kYrKCgbNGloAA35wY+x+fBKArKFp0KCpC3oWnYhxluWJFKUFC26FZQgQOx3q+fds+qyEFB2aJnQQHOT/aJ3svXnh4FZYu+BQXIWv1E/RU87elRULboXVCBfT29x/3XrWt0BArKFg8QFODCVP/ndnByQx4KyhaPEBQgN6FljQVcTAOKgrLFQwQVODK0cn8tRxO34C5B/13x6R3ma+IQzxEU4PaSek8s1/q/5iZBPw8Y2buq/r7zqh5PEhSg6IfelYf+ptXaTbhH0CLffwCW9ma+Kv7wLEEFri2o2XS1hvMo0wiaPSvuK+HXYEmxnXxeFgfL+Kee86vSDR4nKIAx6YXKwzV7G6URNC5qXWQCgJek2E4+jY+fA/i4u/Or0g0eKKjAlfmhT67Q5miURlC/u5Ba++o9QfPfe1skooZt6Moab471+8v5VekGzxRUeIv5vnflwVqc1NMIWvcqwMboomJB896cItLgvrGFCk6abob9ZfZiLWadcDvcTKLAnhvv1gtfbG92Q5dCI+jqmouF/XzHcpLi+/J5KCSsygAHk696GhxNouACDr1cucc39r7c5DqozuJTEoX3/m3jJaUl81lQbRfkdH+bYh06g6tJFNhw391NGetaB04+4ca1u/gy07EnhIfvn2W+Dm7hbBIFer6sU7Zx8n0lJyYHtlrjtjMmFwt6qWohQEJpuABqgbtJFCj5s+ovxl0Bl+8vLPi25+MDdrtnanpXX6jvOuCnLdX+j/k6uIXpJApZ0Z1EAquyaJlzzBMHKx24waY8dVlkcLw7dvWuFjRjassu3zNfBb/QCborJ2NGzKI868uifXtEOtVi0jSnWPCG8NDfZshSkeOTqz613OXThygJGmOFvEp+Tjo1gERQ47wu6TvtLX/p2dw+PRK6jJIUa5nQ44E/ZG0JlLm4VJg04PGYba4d9kFJ0GQr5FWioHJYBJ3Qt0FO1Fg7ywNywT8T7laTFGua0J1NKrQ5LL/47voO3iMOuPBrTAS7+Lz9SUk7VEzVg4LKYRG0VlY7yJFO5SHy1DGIOAOn6kiKOU/oxYVPhEz721W1Ewjau7l3z+Cp5FVynk/XQiJoyM12cKO2neVHQnpHBw4K+kJSzH9C/5oU3GTxRZdUTSCob8H0lDPR5FXyn08XQiLoksYhC8JX2wvI2bpo5kqbf7QeEmr8YUiVdmtcMCkogaDVcxNWgvTTDQfoIZ8ug+gsft+MhX+oqFMnCc3d3rtSt88yGddKIOiUTufrjelCXqVO8ukaSARda4K8Tv0k9O6GqEp9tjM9rSe5DnoRDr2l4gBDMZ+fRwT3c80Bi/aQCBofHz8y0FOPmVJXt68yeKfl9qCCf87S1kcgKOsOnxS6/+KbT3LytWvWkF6ovy29luQAXQkqcHVpa5+h3xcI50516gU9m05XGYGgrDv8oE+Eh4YeevcyqaAFnn3d7sJ7LXyH72n4GRSOHENXE+FHnSw7fO8twkPzX8gr1BMkgvYVaDCYvE4dCipw7p2mDwzbnX+8AV01hIKy7PAbml2Fz0J4HhedAhJBkwSS8xzESdCnoAB5Fea38O7ckO4/TSAo8w4/q6JXU+6nP3ESRUHjrZDXqVdBYdRzP6zyCa8ctz3b+ToIBGXf4Y2sL5Y5SxrzL6MoCiqcbw4NeXVG3WnkdepW0Px32nfdAVdWdKzU6zNnz5WUBPXkDv/7E1W8JjO+z4FkF/9kGkB6BHmdukmoLKnruj4WtcapwciUBPXgDp8fsgVS26xhWymJoMHCHi+nBnmdekmoQ+5+0efxtu+qH2GcYBfvbIf/o3v9PvwMhGrLH08KD1+puNGVBBJBx7Zatab1OPI6PUJQgdydwwMazUgh2Gftb1e9+z/mpwSCOtnhLwSs+/uD6i64fYAV/xVva9vYn22lJIIWftRvwDoVH1R4iqACxp+mhFUb9b3CGc2JgMTzy6vfNj0nEFS+wzscZ2DJaOGh92eK1WuGseXEU3trMv7Ki6KgsWch1gR5nR4kqMjJha0r99ro6J1rnnhzZ/dE03MCQWU7vONxBkxftxqxiqTJGnHt5VotpN+gpEVR0L0ZgF9RuLH+hUpPL5L9zt3UBcLDAPMXoZQEddThbcYZuHxaJCZUeMiGwyEHTu/2Oyq8U50xvS4dvzuRfhbvOO334XmCCuR8N7JarfF77O7sD4Sehp8CzEMlKQnqqMNLxxnIDA8VqfiQ8PAewLgHHizrJ/z+v1Dz61LxO5xA0K+HGJtV9Mjb7VTyx7ynHo/92M438lZ6+9SwfK2Q9LN4e4VK4wzkX/DQW5YcQHKS1OLnpEE325DX6bGCClz/pHflyJm/SAeBMBYPDkAgqHyHl4wzYMGT86kIiaB1i8Z/XhBIXqeHJ7Rg36QGfgM/l/mGPYGg2OFVQCLoS72C0ia2Ja+zFCT03KrulVrMtnkjBSJBscOrgETQuyuPwxwVo6WWjoTm7Z3Y0Kf/BukRKYGg2OFVQDWyiAylJ6EX18ZWeTJ+X8lTewJBscOrgGpkERlKVUILD73ZolLXpcUf2hMIih1eBVQji8hQ6hJ6a+uw4hE7CQTFDq8CqpFFZMCEOgY7vAroRhbhehIFbSAQFDu8CqhGFuF+EgUNIBBUvsPbB/Mph0nQsz9ng/H6qeV2lvM5iYK2kHzU6ZlDCbkGRUHfL1Pd9zv/x6o9Y2c5j5MoaI2ioA46vAyYTzlEQav+CvsNG+xPQMDhJAqaoySoow4vA+ZTDlHQKsJPZbkJMiQ3N2S2airireJjPI9DSVBHHV4GFFQOUVAf4SfAUQ1RJZ7/lSISJR1yuTShJKjDDm8fFFQO0ztoamqqn/Bj5+adm3EiFeLiJOWYUAcodnhbMJ9yiII+YsV2ccFkn6WbN/tu3iwpx4Q6wEGHlwPzKYfiPEn7mn0DITalmFAHOOjwcmA+5VCeL/52v2G2Z0SYULZgPuVQFhQgwXYkCUwoWzCfcpAIagdMKFswn3KgoOpBQdmCgjKGRtDsWXFfCb8GS4oxn3KgoOqhETQual1kAoCXpBjzKQcKqh4aQf3uQmrtqyhoSVBQxtAIWvcqwMboIhS0BCgoY2gEXV1zsbCf71jO+jorqpNIIN58IwMKqh6qs/iURADjtvHWl0U/7hHppOLrIR4HCsoY2stMp2yLMJ9yoKDqoRU00rYI8ykHCqoeFJQtKChjaAW1M4sL5lMOFFQ9+FEnW1BQxqCgbEFBGYOCsgUFZQwKyhYUlDEoKFtQUMagoGxBQRmDgrIFBWUMCsoWFJQxKChbUFDGoKBsQUEZg4KyBQVlDArKFhSUMSgoW+gExUkUbEBB2UIlKE6iYAsKyhYqQXESBVtQULZQCYqTKNiCgrKFSlCcRMEWFJQtdCdJ0kkU6oWKVPRn0TKdQi1olE0JCiqHkqA2g11dPC0SU5dBw/QKhaA45r8dqATFwa5soRAUx/y3A5WgONiVLVS7eBzz3wa6s3gc7MoGumPQ+8f8NyasFmkRStsoHUMlqHSwKwsoKAUlx/zPHjVcpE4wXZW6hu4sXjLYlQUUlAIcm+l+8GYRxvA29E3q608PPEbx91qDgjKGM0HzIl7dvzTAztuyXkBBGcPZ2Ez7WwoP0950vgKtQUEZw9lHndt6Cg8rRjFri9tBQRnDmaCX/E9AevMt7BrjblBQxnAmKHzmF+EzgVlT3A8KyhjeBIWMIzdYNUQLUFDGcCeozkFBGYOCsgUFZQwKyhYUlDEoKFtQUMagoGxBQRnjGYKmJf1idPtK7YKCMsYjBP3Wv3PDFunuXqtdUFDGeIKgBf6/QdGoiW5eq31QUMZ4gqAn6gkPB9u4ea32QUEZ4wmC3nk8A2BdHzev1T4oKGM8QVAY1XbTYr9f3b1Wu6CgjPEIQY3r+4/m5DZ8FJQxHiEoR6CgjEFB2YKCMgYFZQsKyhgqQXflZMyIWZQnKcV8yoGCqodG0Jeeze3TI6GL9BtEmE85UFD10AgakAv+mXC3mqQY8ykHCqoeGkGfOgYRZ+BUHUkx5lMOFFQ9NIIeCekdHTgo6Avr60wvg4kAFg3TKSgoY6hOknK2Lpq58qK0dM0wiir1Ds6TxBgXDB6GgsqB8ySpxwVjM6GgcqidJykzsLLIw3jM5Dwo6P2wnScp45bIB5hQ57EzeBgKKoeT8yRhQtmC+ZRD7TxJFjChbMF8yuHkZSZMKFswn3KgoOpBQdmCgjIGBWWLKwRd79PUTMSD5Ykoq/+wcpZNbvrY/zmXNFb5LPewYsijBNU89IhyNQ8pV/Pgo4ohj1Rq6giH+XRS0LwUCwcf3kjCR4+wDFtTnihsVQWisJVeRGErKlm3+S/2I3KoymfHFxVD3vFXribiNcWQaeHK1YTOUQwZ1THFEQ7z6aSgxWSVJwrLkE5VZ5+7FYnC7lQiCrtVmSgs1Zso7IYvURglJPl8ZYViyP9qK1cTvUMxJPkZ5Woif1MM2dRfuRo5UFAUVB4UVAIKioJKQEFRUHlQUAkoKAoqgVbQ/HZEYXntycI6EIXldiQKy+5EFJb1LFFYZmeiMEpI8rlI2azrPZSree0XxZC/hytXM/CMYsgPM5SrkYNWUARxKSgowjUoKMI1KCjCNSgowjUoKMI1KCjCNSgowjU8CVpg89UnV3OHaRg3uCuRBHmhTh2loNvDQpcoxawJ84/LJomcHEdQ4ZGnAocQhL1TLWh8kVJYeiOwVuUo0hRGvBVUKNZP1AzlRBJkUTmDBOmjTx2doGnB59PDjjuOSQm5mh41iyAy2SdOucKckKO5z+5SDPszMDUzcptC2PzwEOsmOIo0hRFvBRWK9RM1QzmRBFlUziBB+hikjk7QDUJXnTXTcUziYoB1ccqRt5stjVOucGtvgNwcxbCj1bPy22xXCEtJDLFugqNIUxjpVtChWD9JMwgSSZBF5QwSpI9B6ugEnT8N4OOhimFpzbYrR/b7enOccoWLukf498tUrm3io5ViFGu7FGLdBIeRYhjpVtBBUr9iMwgSSZJF5QwSpI8+dXSCzhXXOlgpKqF2gnJkwjAQ8qoYNjPwdEaPNxXDDob/eqJ1glKYmD5zjMNIc5aJtoISgvoVm0GSSIIsEmSQIH30qaMTdL2wxjnTHccYB0ZfJYiMCQzxrRClGLZSCEiIUQyLnwrwaaxSmJg+c4zDSDGMcCsoUayfoBkkiSTIIkEGCdJHnzo6QW8E3chp8LvjmMSORYSRQsdXDLsYdDqj6yLFsE1NbtyNnqMUJqbPHOMwUgwj3woaFOsna4ZiIgmySJBBgvTRp47yMtOWxg3eVwiZUM7Ly2swSaSQV+WwL2oHv5KnGFY0vVrVYTlKYaYdkDnGUaQYRr4VVCjVT9YM5UQqZ5EggwTpo08dTxfqEcQGFBThGhQU4RoUFOEaFBThGhQU4RoUFOEaFBThGhQU4RoUFOEaFBThGhQU4RoUFOEaFBThGhQU4RoUFOEaFBThGhQU4RoUFOEaFBThGhQU4RqOBT3dfdAqrduAaA3Hgk46Am21bgOiNRwLml10kWA6KsSzcb+gBm8fH593wTi/oW/r7wCOG8RRI288MB3y3qhdpU1Kicgt3a86rio5hqTILrfOkrYX0RQNBM00/XqpywXjodDNcLyCOP3h+grTYVTP1MINQVnFgd++VqRQlaKg5qFTwTrA6uTgwNfhXIsw4emok5SbgbgHrQT9s6oozqHqhccbh90CeOGF6Rd8MoSSl34qDhzSJTau5B/mW37uvVIS1Dx0KliHWd0dmX07LGlEUmFE+n9HMdwixIVoJeiyEaYX1U8fbzIhAXLrLJi+vVtxyOSIHFg6zPpqac3arxkP9u87XfyBeaE1J5legclG08LO2wEi95ue3ieoeehUsA6zemgXQM/Eye+drZ896LJbtlVzyI+nitkbKz6ujS9ZRnrg5AK0OQYNhUlzTS9a/XC8SXIv2DX87elLSoxuOnhtTq1LlufJjW9k9p13sNJJEH+SwtJz22wQn4mLYswL1w+E06H7TE/FVH77lIBlnt60ZoK8xeOwbovqmps+otP3v73hxg3WEuLjqXtknBUfS7OgppwtGWl6EXLueJPCkLxR3749/ctoseBXU6/+udV7U6zxM0LatWvQ5eAzAOLPZEG1D18Un4GYN/PCO/75C2abn0pSKQ6dCvcGhr2ytfEu8XXs7a87T8x16WbyAdnxVL7tH5Z6QVOCcoTHw1XheBMYtDMs++3pp6ukCyXtPzUFhdW8ZY1f+BZATvrBroKgws8kYde+aqD4DMS8mRdC991Nzpif3vcOap/s4xoAABf2SURBVB46FayjpyYK/493xY6xe1FqxPkZ77pzqzWC4HjKdLhkOjy6+3Ldll9Dcmzhq9WeHBqf1Bcgfi1MqeHXJy85xrxMiy1w/xrNe5247leKfqmVKAq6rWUMvD0dhnS/mb8mwCxm5wHF8X+E38iN2mkVdFe9jLy264sFNS+Ez9u1t8TdfwxqGjq16GSBefTUZe3T0zsKB2FF0TnnOxZtmequLdYQguMp8XDJfKS0Mrbo5yGCoB+1zE4LsQh6sVNOQfP9yTHmZVpsgfvXaBa0cHZ93ybC/lcQNPORdaKgmeOq+z5tHoP3YGTgvR3wqlpBY8EqKMytHfq6sVhQ80LILP+JJe4+Qc1Dp+YazplHTzWOqxE8ugBg81qAmfXaXnPXFmsIwfGUeLhkPjw6HjRhd5EgaL9VAK9a30EvbJrhnZQcY16mxRZosVJFWv3Yc4vWbfAICI6nxM5uOVJK+2xQM0HQAWsA3jQJOnLtoXorf+spCGpepsUWaLFSJbY/Dzs7aN0Ij4DgeEoU1Hx4NGdSwc2Kt5Nj17XOTQ+LT25QcCdw7Vtj4EzwjuQY8zIttkCDdSpRWC8Fivo0vqF1OzwAguMp0+GS6fDoUpuANmtNJ0k1IqbG5w6qGdxt7YWoht3eCE2OMS/TYgu0WCmCkIKCIlyDgiJcg4IiXIOCIlyjKOjxmUMHTz/ijqYgiC1Kgi4Jn/3xx3MafOCWxiCIFCVBQ++Kj9kNJcXpe0oxe9nfB4X5lENJ0LrnxcfrjSXFa4M6lV68v6eS0R6YTzmUBE0Mjps2bVDVrZLiNcPsRpcOOicxrxLzKYfiSVLahvlzP7kpLcWEsgXzKYeTZ/GYULZgPuVw8iweE8oWzKccas/is7qYjmtr1mfRMp2CgrKFSlDpWXzRftOVgU61rQVX6BqnR1BQtlAJKnMWPzDc8qSouiZ3CWoKCsoWV5zFFwua+2PNJc42TK+goGyhE9Q+VkGXPl6zst/ia7NHbTA6V5EeoRI0KTF318ilBZJSFFQOOkF/rnkRTvqHek348JkBCn/hQdAI+npYz26N3+04RlKMgsqhIOidRiFmJOUWQeeKIySN7BAw2phbo/QMF0cjaOAd+M+XcKdaccEh00nn2FgG7dIrVO+g6eGJl0QkxRZBl4qDxPVq9XG7PnmmtRTZGUTF86ARNDgbvrwCd4o7fNbzpst2gYEsGqZT6Hbx8+0OgWYR9GLg6mPv1JjdP/uFp32vQt5or/LRpeCyE42gkyJ3AfzUfoKkuPikszTiypOkv3o2jPtfTpvIfuWDLsOM6Fu58c85V6GeoDpJ2n0IIHGZ9JQSBZWDUlAzxn2bTi8I+bvRUYDCShnO1agjXHCZCQWVg4mgJhL86whHA/mPZTtXo45AQdniJkFhf8W6J68MKQWnoygoW9wlKJzwqRQwXIvxe9wMCsoWtwkKaR27pjtXn65AQdniPkGhYHS9f52rUE+goGxxo6AAH/nvdK5GHYGCssWtgsKh4DmWkXhz/rjgXOW8g4Kyxb2CwpU2XU3jzO8JahLQ2yM/+kRB2eJmQSF/fGiK8P4ZeADyYhY5Vz3foKBscbegAFt9V8DvTYUnO6Ocq55vUFC2uF9Q+PfJXseDCwDWDHKuer7RQtBLM0d/psksG25AA0Ehd0xo2z4/rAv82bnq+UYDQc8ETFreaqjjGN2ihaAA2/06te9zyLnaOUcDQV+dB5AdeJ75erlAG0HhYvt2pTGhzqGUz+gdwsPT+5mvlws0EhSMC/02OVc752gg6KwhAOd90pivlwu0EhTgSIPeqc7VzzUaCJrRvHl//9XMV8sH2gkKOa8HaTJFrmvR4iy+cO+ms8zXygkaCgpwoPagW8pR+gKvg7JFU0Eha1zVROfWwS0oKFtcMT6omoQeCo/1rK96ukvQ3JQTnnpt/j5cMT6oqh6fM81vjSdl2k2C/lqjac2nS8EXFNiOD2pB5S7paIvWx1X9AdfQCJo9K+4r4ddgSbG9fNbdAcaxo5xflW5gOj6oBbXHTMYVvlMy1f0Jv9AIGhe1LjIBwEtSbCef1wKEh2PSdwZPxKXjgxJzLa7GNrV/wyk0gvrdhdTaV+8JatywWqRFqE1kbkVh5/VdB+dXpRtcOj6oCpIbPucZA4zRCFr3KsDG6KJiQXNGDxepE2wbOrb9txtr7HB+VbqBStCibdshIXZOjvV1ppfBhK8TDSn4wPe1O078HW/QCLq65mJhP9+xnKTYXocvWP6fXnucX5N+oBJ0XGSbHm0+7SYdvtLJ63bXhwWsKXTqL3mC6iw+JVHYr28bLynF66ByKAlaNTO/0klID5IUO53QI+0a6f5dAS/Us4VK0OC0zEd/gxvVJcUUCU2s859jTv8xF6CgbKES9J3A6hPDpzaZLimmSWj+Er+XLzr/59qDgrKF7iz+z6NwIN7mvk66hN55w3uKju9tREHZou3NIva5PMJ36idbdXpKj4KyhUdBATY98kjDQH1+/omCsoVPQRt8f7RH5fBc2mq0AAVVSeo5h/cKcSlo3iNCm38oF7w0RzmWN1BQVWT3rFK9gaN9JZeCQvDfAN83T4kOei+Ltip3g4KqYkpcHqx/wkEAn4Kur7FwbsAugD9j/efr7GQJBVVF09+Fh4Cr8gF8CgoHJ8YfNT35Z5B3vIPm8wcKqooOuwFyKzm42ZJTQUtwdkyVEToamRkFVcXnYbt+e2GggwD+BQW4MdPvBd2Mk4OCquPz9pGzHE1OpAdBAbKW126xRTpLNZ+goGzRh6AAxsSnayzSw5foUVC26EVQgd8HVh7O/61OKChbdCQowLXZVdt/yfmeHgVli64EBcjf/HTQLOn89FyBgrJFZ4IKHBtVpUeSdMZqfkBB2aI/QQEy1kSGzOP1bRQFZYseBRX4fWSVbtu5nGcJBWWLTgUFyPqkrf/rHN4yioKyRbeCCvw7NbjZct5GaUZB2aJnQQEKdw94PCaRqxubUVC26FtQgfT17b2HJfNzVk8h6J1GIWasBXkzp4g0kH6vuzShe0EFLixsVG2SzTC6GkHzDpoennhJxPo6/923RSJqMGiXXvEEQQWOTw0Nm/mP21drB6pd/PwUe6W4i5dDP4IK/PJatSfmaj9CHh6DskXrMepZUnRwXNATszS+9ISCskXzMerZYjw4vnr41N80HPQeBWULB2PUM6bo1/iw6q/+n1Y3PaGgbOFhjHqmZLw3elXe3wuaeQ/celeL9aOgbOFjjHp2ZNZ7cXn0M4UAl1Y+/9hzy866vQFKgsZYIa8SBZXDIqhxXpf0nXYDJGPUFyXvEelUm2EDVbK6r9CMluaNyvjyRb8npvzo3lGblQRNtkJeJQoqh0XQCX0b5ESNtRewKydjRsyiPOvLrK6dRAKrMm2iKt54S3gYudL60vjz9IgqfT695r4GEOzi8/YnJe2wnblDFhRUDougtbLaQY50nG+Rl57N7dMjoYt0PiktE7qlbSFk1fmlZNGVdbGVm0790U1nTQSC9m7u3TN4KnmVKKgcFkFDbraDG/Z22wG54J8Jd6tJirVMqLFng0E1J0hLCw5Mi3w8ZsX/3NAAAkF9C6annIkmrxIFlcMi6JLGIQvCV9tZ/tQxiDgDp+pIirVN6KFP/7RbfvOzF4NqDtvi6tvzCAStnpuwElTMEoeCymE9i983Y+Ef9pYfCekdHTgo6AtJMb8JPf5B18ciJiW5ct5FAkGndDpfb0wX8ir5zacbIBF0rQl7ATlbF81caTPnAdcJLTg4+2mvNm/uc9XQoyTXQS/CobdUzBTBdT5dDYmg8fHxIwM96Zgp6/s3Wni1n5XsCkkJBJXv8PbhPp+uhPRC/W3pmZADdJHQjJ1TWng9/eYe1rt7AkE9rsO7ElJBCzzxul3G7ultvZpN2H7DWmA8TX3FlPCjTuc7/IUv9nA+uApTSATtK9BgMHmduhFUJOfH+f+pFP7yx+KdpH83qOnTLYOuPkJBne7wCf69Wza+ra5NeoZE0CSB5DwHcRJ0JahI4Z/L+9fwjV5YZxXkvyydylUlBILSdPhs7/8CvDpRfbv0iqKg8VbI69SdoCYubRn5YPlmry6sS1cNgaA0Hf6PJ4WHfe3Vt0uvKAoqnG8ODXl1Rt1p5HXqU1CA3IppB995+mG/bnP3OD9zg5KglB0+rcpdgCUvOdc2PUKyi38yDSA9grxOvQoKw7oe+jYs4dK2Sc9UDB+07LBTV6GUBKXt8OOarZzqx8XXA90DiaDB2cK5RA3yOnUraM78lp3MH4sVHl03MqJ8xIiPjqgdAIpgF0/V4Yu2jJx2TmWb9AyJoGNbrVrTehx5nboVVELO4eUvNqzQfORHv6s4YCQQtNR0eBaQCFr4Ub8B61Tc9utRCc06uGRQw0cjhn74k6NL+nkXrPkhEFS+w/P1LVnV3Bof8Rzrb7woChp7FmJNkNepm4QSk/3zimFNy9fr+/Zu+xfy33m8WsA281MCQWU7PH/fklVFUfsRv28L3se2UkVB92YAfkXBRP5fn77WoUpg5ymbjkk+yvmh7mX4I8D0DUJFQR11eOm3ZLPjeonUqCA8bAH4vRffv3eI7XxlINt6G5N+Fu847ffhoYKaufDNvF5hj0YMfuf7K8Vlpu+ZxG00PVcS1FGHl35L1vjVFpGnA4SHfwFSt/D9+4dQ4feqaLb1tiUQ9OshxmYV8e6bEmT9+tG4Dj4+Hcau/ildeLlgsvDQZYdpEeln8fYKOfyWrBpyg3dBRqflbCslOUlq8XPSoJttyOvUS0JpubrnvSHNKtT4z6SF3mv+fruW+Wv4BILKd3jJt2Qt6CafB0NrVnqF8UiYJILWLRr/eUEgeZ26SSgLik5//fbA8LIVBp4xvyYQ1HM7vPFMOusqSQR9qVdQ2sS25HXqJ6HMMBZfgyIQFDu8CkgEvbvyOMxRMe0LJtQx2OFVQDeyiH0woY7BDq8CupFF7IMJdQx2eBVQjSwiAybUMdjhVUA1sogMmFDHYIdXAdXIIjJgQh2DHV4FVCOL6P3uG1dAICh2eBUoC3r252wwXj9l7xMsnd994xJIPuqU7fD2wXzKIQr6fpnqvt/5P1btGTvLuRyjXmMUBXXQ4WXAfMohClr1V9hv2GD/A1Yex6jXGiVBHXV4GTCfcoiCVhF+KsvcAKDzu29cgpKgjjq8DJhPOURBfYSfALkAyd03udPMk5+qGNbF41AS1FGHlwEFlcP0Dpqamuon/MgO/Bp172nBMvPkpyFysaUAJUEddnj7oKByiII+YsV28c04kQpxcZJyTKgDFDu8LZhPORTmSSqY7LN082bfzZsl5ZhQBzjo8HJgPuVQnEx2X7NvwHZ/jgllC+ZTDuXpuG/3G2Z75y0mlC2YTzlI5otPsJ3TDxPKFsynHCSC2gETyhbMpxwoqHp4EzTn/QFvXFEO4xYUlDEUgt5pFGJGUk6TT2PH2ITJQVedr0BrUFDG0LyDpocnXhKRFNPk86cmRoDx85yvQGtQUMZQ7eLnp9z3MrNlUxFvlZ88lWRrL+Fh1QiKNmkMCsoYpsegR1NEoqSToargdOBVKOi0nlmL3A4KyhhaQU/ZFlHl833/6Fq9GA9H405QUMbQChppW0SXzws7/qL5c61BQRnDnaA6BwVlDK2ga2yLMJ9yoKDq4e1Cvd5BQRmDgrIFBWUMCsoWFJQxKChbUFDGoKBsQUEZg4KyBQVlDArKFhSUMSgoW1BQxqCgbEFBGYOCsgUFZQwKyhYUlDEoKFtQUMagoGxBQRmDgrKFTlAco94GFJQtVILiGPW2oKBsoRIUx6i3BQVlC5WgOEa9LSgoW6gExTHqbaERNHtW3FfCr8GSYsynHIonSZIx6jPrh4pU9GfRMp1CI2hc1LrIBAAvSTEKKoeSoDY9/sJpkZi6DBqmV2gE9bsLqbWvoqAloRIUe7wtNILWvQqwMboI81kCKkGxx9tCI+jqmouFXt+xnPV1ZmBlkXK+LBqmU+jO4rHH20B1Fp+SCGDcNr749d1bIn0wnzIoCSrt8RZQUApYj82kd+jO4qU93gwmlAIc+uZ+8GYRxqCgbEFBGYNjM7EFBWUMftTJFhSUMSgoW1BQxqCgbEFBGYOCsgUFZQwKyhYUlDEoKFtQUMa4UtAT35xmXjnvoKCMcaGgr1TvGjiDee2cg4IyxnWCfheRA3dq/cq8er5BQRnjOkFnzhYexixjXr09Lny2K98tK1IEBWWM6wRd0194eHY78+rt8Ll/v6fr31SOcwMoKGNcJ2h6rXGfvfxkLvPqbcnzPgEweawb1qQMCsoYF54kpb7Zb8Fd5rXb4Z/6wsOhVu5YlSIoKGM84TpoRqVbAB8OcPNa7YOCMsYTBIX4Jsum+h1z91rtgoIyxiMEhR1jpp91+0rtgoIyxjME5QcUlDFUgiYl5u4aubRAUor5lAMFVQ+NoK+H9ezW+N2OYyTFmE85UFD10AgaeAf+8yXcqSYpxnzKgYKqh0bQ4Gz48grcCZEUYz7lQEHVQyPopMhdAD+1n1BckG4eWSSMQbv0CgrKGKqTpN2HABKXGa0vM4NMYzM9LN3nlyZQUMa4YOibNcPoqtQ1OMsHY1wwsggKKgfO8qEeFJQtbGf5uIgjLLtg6BsUVA61s3xkhpvGqH+sOouW6RQXfNSJgsrh5CwfmFC2YD7lUDvLhwVMKFswn3I4eZkJE8oWzKccKKh6UFC2oKCMQUHZ4hJBB92ycPlMaeGadZM7uEBQz85n2i1HOMynk4Jur2zFUIYIDwgrU7zN7If+UJ1PBttEsiZG1ZSt7BBH+XRS0GKyyhOFZUgnWrLP3YpEYXcqEYXdqkwUlupNFHbDLXNtkeTzlRWKIf+rrVxN9A7FkORnlKuJ/E0xZFN/5WrkQEFRUHlQUAkoKAoqAQVFQeVBQSWgoCioBBQUBZXHAwQ1TiIKK5zMMqxgClFYfjxRWN4bLMMoIcnnlsOKIXdnKVez6l/FkIvvK1ez8LpiyNFPlKuRg1ZQBHEpKCjCNSgowjUoKMI1KCjCNSgowjUoKMI1KCjCNTwJWuD2aXvuMA3jBnclkiAv1KmjFHR7WOgSpZg1Yf5x2SSRk+MIKjzyVOAQgrB3qgWNL1IKS28E1qocRZrCiLeCCsX6iZqhnEiCLCpnkCB99KmjEzQt+Hx62HHHMSkhV9OjZhFEJvvEKVeYE3I099ldimF/BqZmRm5TCJsfHmLdBEeRpjDiraBCsX6iZignkiCLyhkkSB+D1NEJukHoqrNmOo5JXAywLk458nazpXHKFW7tDZCboxh2tHpWfpvtCmEpiSHWTXAUaQoj3Qo6FOsnaQZBIgmyqJxBgvQxSB2doPOnAXw8VDEsrdl25ch+X2+OU65wUfcI/36ZyrVNfLRSjGJtl0Ksm+Aw8lII+VbQQVK/YjMIEkmSReUMEqSPPnV0gs4V1zpYKSqhdoJyZMIwEPKqGDYz8HRGjzcVww6G/3qidYJSmJg+c4zDSHOWibaCEoL6FZtBkkiCLBJkkCB99KmjE3S9sMY50x3HGAdGXyWIjAkM8a0QpRi2UghIiFEMi58K8GmsUpiYPnOMw0gxjHArKFGsn6AZJIkkyCJBBgnSR586OkFvBN3IafC745jEjkWEkULHVwy7GHQ6o+sixbBNTW7cjZ6jFCamzxzjMFIMI98KGhTrJ2uGYiIJskiQQYL00aeO8jLTlsYNlO5pnVDOy8trMEmkkFflsC9qB7+SpxhWNL1a1WE5SmGmHZA5xlGkGEa+FVQo1U/WDOVEKmeRIIME6aNPHU8X6hHEBhQU4RoUFOEaFBThGhQU4RoUFOEaFBThGhQU4RoUFOEaFBThGhQU4RoUFOEaFBThGhQU4RoUFOEaFBThGhQU4RoUFOEa/QjaxaeKwcdn5N5YrRviIegkn/oRFCBVnCok46zWzfAYdJFP3QmKMEMX+dSdoMmxh9s2Dhw5q27ri7C0Zu3XjFq3Sr/oIp96FLT8ubsVZ8KwxcmNb2T2nad1q/SLLvKpR0GfBWjyLyyPnxHSrl2DLlq3Sr/oIp96FPR5IaHnhIQufAsgJ13rVukXXeRTz4L+EX4jN2qn1q3SL7rIp54FhVW1gsZq3Sgdo4t86klQpBSCgiJcg4IiXIOCIlyDgiJcg4IiXIOCIlyDgiJcg4IiXIOCIlyDgiJcg4IiXIOCIlyDgiJcg4IiXIOCIlyDgiJc8/9Wk3E9e1QUbwAAAABJRU5ErkJggg==" /><!-- --></p>
 <p>The <span class="math inline"><em>χ</em><sup>2</sup></span> error
 level of 3.3% as well as the plot suggest that the SFO model fits very
 well. The error level at which the <span class="math inline"><em>χ</em><sup>2</sup></span> test passes is
 slightly lower for the FOMC model. However, the difference appears
 negligible.</p>
 <pre class="r"><code>summary(mm.L4[[&quot;SFO&quot;, 1]], data = FALSE)</code></pre>
-<pre><code>## mkin version used for fitting:    1.2.2 
+<pre><code>## mkin version used for fitting:    1.3.0 
 ## R version used for fitting:       4.2.2 
-## Date of fit:     Thu Jan  5 14:50:16 2023 
-## Date of summary: Thu Jan  5 14:50:16 2023 
+## Date of fit:     Fri Feb 17 10:41:54 2023 
+## Date of summary: Fri Feb 17 10:41:54 2023 
 ## 
 ## Equations:
 ## d_parent/dt = - k_parent * parent
 ## 
 ## Model predictions using solution type analytical 
 ## 
-## Fitted using 142 model solutions performed in 0.01 s
+## Fitted using 142 model solutions performed in 0.009 s
 ## 
 ## Error model: Constant variance 
 ## 
@@ -2190,10 +2190,10 @@ negligible.</p>
 ##        DT50 DT90
 ## parent  106  352</code></pre>
 <pre class="r"><code>summary(mm.L4[[&quot;FOMC&quot;, 1]], data = FALSE)</code></pre>
-<pre><code>## mkin version used for fitting:    1.2.2 
+<pre><code>## mkin version used for fitting:    1.3.0 
 ## R version used for fitting:       4.2.2 
-## Date of fit:     Thu Jan  5 14:50:16 2023 
-## Date of summary: Thu Jan  5 14:50:16 2023 
+## Date of fit:     Fri Feb 17 10:41:54 2023 
+## Date of summary: Fri Feb 17 10:41:54 2023 
 ## 
 ## Equations:
 ## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent
author	Johannes Ranke <jranke@uni-bremen.de>	2023-02-17 14:44:29 +0100
committer	Johannes Ranke <jranke@uni-bremen.de>	2023-02-17 14:44:29 +0100
commit	d5ff53448c61134c46cc4df9ea88fd86fa376d66 (patch)
tree	2332224ea61fd28e58e9e9ff07a414da59df5bff /vignettes/FOCUS_L.html
parent	84e67cd33bc9c47ae4b111873ffe39fed910d3d4 (diff)