# Predict Statistical solution for predicting and forecasting

Trial version
• Prices starting at*
• 50% off real value
• Company/Private : 995.00 USD
• Academic : 595.00 USD
• Student : 300.00 USD
• See prices
• * Before volume discount

The XLSTAT-Predict statistical solution has been designed for those who want to build explanatory or predictive models for risk, sale and stock forecasting. XLSTAT-Predict includes the Pro, 3DPlot, Time, PLS, Sim and Pivot XLSTAT modules. This combination of analytical software makes XLSTAT-Predict the best performing and affordably priced all-in-one statistical analysis package for Microsoft Excel available on the market.

## Predict includes the following XLSTAT modules:

• Pro
• Pro contains mainstream methods such as descriptive statistics, linear or logistic regression, classification trees or non-parametric regression, to cover all your basic statistical and multivariate data analysis needs.
• 3DPlot
• 3DPlot enhances the visualization of your analytical results by adding a third dimension to your charts. This way you create striking graphics to perfect your presentations.
• Time
• Time is necessary for forecasting complex time series such as stocks, risks or sales.
• Pivot
• Pivot is a very powerfull to create pivot tables. It structures your data in a way that allows you to see the most important information first in a Pivot table.
• PLS
• Partial Least Squares (PLS) regression is a very powerful alternative to build linear models based on the latent structure of the data. With PLS regression you also get visual tools to explain relationships between observations and variables.
• Sim
• Sim allows you to take into account uncertainties by considering the inputs/outputs of a model not as fixed values but as distributions, and by running simulations with different scenarios.
• CCR
• The XLSTAT-CCR module focuses on regression analysis (linear, logistic, discriminant and PLS) where a large number of correlated predictors may be available and is based on Correlated Component Regression (CCR).

## Benefits

• Easy and user-friendly
• Data and results shared seamlessly
• Modular
• Didactic
• Affordable
• Accessible - Available in many languages
• Automatable and customizable

## System configuration

• Windows:
• Versions: 9x/Me/NT/2000/XP/Vista/Win 7/Win 8
• Excel: 97 and later
• Processor: 32 or 64 bits
• Hard disk: 150 Mb
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### Comments

• Sarah M. Bharath, The University of the West Indies I have always had a difficult time with stats and statistical packages. This is the first time I have actually ENJOYED working with tutorials and making sense of data. This program has literally restored my interest in learning more and more statistical procedures and I have been telling all of my co-workers and fellow graduate students about it! Thanks!

• William McNair , Comcast I decided to buy XLSTAT as I just needed a personal stats program that was comprehensive, not expensive and Excel-based. I chose XLSTAT as its Basic module contains a lot of neat stat stuff... and it FULLY integrates with Excel. In addition the modules are accessible to VBA macros and the output tables are predictable (easy to reference with Excel formulas for downstream calculations).

• Michael Lapp, Memecon I was looking for Excel Plugins and checking different alternative before deciding on buying XLSTAT. I chose XLSTAT as it was the best opportunity.

• Damien Pruneau, PepsiCo I compared XLSTAT to the software that were already in my company in terms of range of tests, ease-of-use and possibility of controlling details of the analysis as well as the ouptuts (tables and graphs) and decided to buy it. I chose XLSTAT as it is the most complete statistical software, especially for sensory analysis with the dedicated module.

• Jeff Aucott, Mining Exploration and Geosystem Associates – MEGA Before deciding on buying XLSTAT I checked about three statistics packages. I chose XLSTAT as it is Excel based, and has a good selection of programs for processing geochemical and mining data. I have recommended it to several mining companies as it is a good package especially for geologists using the software in decision making for mining and exploration.

• James C. McGrath, Director of Research I found XLSTAT in 2007 while searching on the web. I was looking for a statistical add-in for Excel to integrate with our internal models we developed for hedge fund research and allocations. XLSTAT was a great discovery. It seemed like an easy choice as the software has a fair price, a rich feature set, is stable, and allows for API-based interactions. It is a great product that I have already recommended to acquaintances who do similar quantitative analysis in Excel.