R help - Nov 2011 - Time Series w/ daily or stochastic observation prediction

Hi,

I've got two different types of behaviors for which I have to predict the
future development.

One is a set of historical data with daily observations and which are following
some kind of a seasonal pattern, the second one a set of historical data
(measure points), with two observation occurring each week, consisting of ten
unique (within one single observation) values in parallel, and which doesn't
appear to follow any seasonal pattern.

The former one I've aggregated on a monthly level and calculated a
prediction model based on Holt Winters, which appears to be pretty nicely
fitting when comparing the predicted history with the actual one, and now I have
to accomplish the very same on a daily basis (including February 29th in case of
a leap year).

The latter one I have not clue at all as how to prepare the data and run it with
any potetially qualifying model.

Cheers,
Martin