<p>There is no direct equivalent of Multiclass SVM in <code>e1071</code>. Besides, all approaches to use SVM for multiclass classification use techniques like 'one vs rest' or encoding, amongst others. Here is a reference detailing most common approaches...
<a href="http://arxiv.org/ftp/arxiv/papers/0802/0802.2411.pdf" rel="nofollow">http://arxiv.org/ftp/arxiv/papers/0802/0802.2411.pdf</a></p>

<p>If you want to use <code>e1071</code> for multiclass SVM, you best can create 26 svm models, one for each class, and use the probability score to predict. This approach should be good enough for handwritten pattern recognition.</p>
How to build multiclass SVM in R?
<p>I am working on the project handwritten pattern recognition(Alphabets) using Support Vector Machines. I have <strong>26 classes</strong> in total but I am not able to classify using SVM in <strong>R</strong>. I can classify the images only if it is a binary class. How to use SVM for <strong>Multiclass SVM</strong> in R?</p>

<p>I am using "e1071" package. </p>

<p>Thanks in advance.</p>