Linux has become increasingly popular for data analysis due to its stability and versatility. Econometrics and statistical analysis are fundamental to various fields such as economics, finance, academic research, and more. This article will discuss the 11 best econometric and statistical software options available for Linux users.

1.R: R is a free software environment for statistical computing and graphics. It is highly extensible and offers a wide variety of packages for econometric analyses.

2.Python with libraries (Pandas, NumPy, SciPy, StatsModels): Python isn’t solely a statistical software but, with its powerful libraries, it’s widely used for data manipulation, analysis, and econometric modeling.

3.PSPP: A free alternative to SPSS, PSPP provides a user-friendly interface and tools for analysis of sampled data.

4.Gretl: An open-source econometrics package that offers a wide array of features, including an intuitive user-interface and complex modeling capabilities.

5.JASP: JASP is an open-source statistics package that aims to be user-friendly and supports Bayesian statistics—a modern approach to statistics.

6.Stata: Although Stata is not free, it supports Linux and provides robust statistical capabilities geared towards professionals in biomedical research, epidemiology, and other fields requiring complex data analysis.

7.SAS: Another powerful tool for statistical analysis; SAS offers advanced analytics through a user-friendly interface but at a premium cost.

8.EViews: Often used in academic environments for econometric analysis, EViews offers powerful statistical modeling tools while supporting Linux through Wine or a similar compatibility layer.

9.Octave: Designed as a free alternative to MATLAB, Octave supports numerical computations and is useful for both statistical analysis and algorithm development.

10.KNIME Analytics Platform: KNIME provides an open-source data analytics tool that allows users to design data flows, perform analysis, and model statistics through a modular data pipelining concept.

11.RapidMiner: RapidMiner offers an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics.

Each of these programs and suites offers unique capabilities that can cater to different needs within the realm of econometric and statistical research on Linux systems. Users should choose the software that best aligns with their project requirements in terms of complexity of analyses, user support level needed, community engagement around the tool, accessibility in terms of cost or licensing freedoms offered by open source alternatives.