Time Series Forecasting using SVM Model R package TSSVM version 0.1.0 Implementation and forecasting univariate time series data using the Support Vector Machine model. Support Vector Machine is one of the prominent machine learning approach for non-linear time series forecasting. For method details see Kim, K. (2003) <doi:10.1016/S0925-2312(03)00372-2>. Software Depends: R (>= 2.3.1), e1071,forecast Mrinmoy Ray <mrinmoy4848@gmail.com> Comprehensive R Archive Network (CRAN) Mrinmoy Ray [aut, cre], Samir Barman [aut, ctb], Kanchan Sinha [aut, ctb], K. N. Singh [aut, ctb] GPL-3 2022-12-02 application/tgz https://CRAN.R-project.org/package=TSSVM doi:10.32614/CRAN.package.TSSVM