Hello,

I am new to R and this list.

The rule is never apologize before asking your question.  So let me break this rule.  First I am not a statistician and I have always struggled with the subject so please forgive me if I mangle terms and at times seem naive.

The objective of my models and simulations is to reproduce observed time series data with tools that allow multiple parameter assumptions and then try to predict future behavior of the modeled system.  Presently my only computer tool for curve fitting is least squares.

As I add each parameter to my models, I attempt to throughly explore their effect on model behavior.

I would like to explore what I can do with R.  For now curve fitting and describe confidence limits of simulated time series data.

I can export simulation results into excel for use by R.

Assuming my very brief description of my objectives is clear enough, please give me suggestions of references and other reading sources that might help me explore what I can do with time series data in R.  Is there anyone on this list doing the same?

Thanks,
Lou
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