How to use regression

i have a two data which forms a cluster of two elements, which in turn is then connected to a graph. However, the line plotted in this graph is not the best fit line. Hence, i decided to include regression. However, there is always the problem that my original data is of dimension 1 and the regression sub-vi is asking for a 2D data. When i insert build array, it does not seem to solve the problem. So, how do i solve it?

Hi Adeline,
if you are using a 1-D line fitting algortihm, then it should be asking for two 1-D arrays. One is the X-array, and the other the Y-Array. If you have a single set of data which is equidistant, beginning with zero, then you can "manufacture" an X-Array with a simple for-loop.
Since it sounde like you're plotting on an XY graph, you should already have X- and Y-Values in your code. Try connecting them both up as 1-D arrays. If this doesn't work, look for a 1-D line-fitting VI.
Hope this helps
Shane.
Using LV 6.1 and 8.2.1 on W2k (SP4) and WXP (SP2)

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    I've been searching this site for Data Mining Q&A specifically related to prediction function and I wasn't able to find something useful on this topic. So I hope that posting it as a new thread will get useful answers for a beginner in oracle data mining.
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    Insert into T_SALES
    (PURCHASE_WEEK, WEEK, SALES)
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    Insert into T_SALES
    (PURCHASE_WEEK, WEEK, SALES)
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    Insert into T_SALES
    (PURCHASE_WEEK, WEEK, SALES)
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    Insert into T_SALES
    (PURCHASE_WEEK, WEEK, SALES)
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    (TO_DATE('01/08/2011 23:59:59', 'MM/DD/YYYY HH24:MI:SS'), 7, 44608);
    Insert into T_SALES
    (PURCHASE_WEEK, WEEK, SALES)
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    (TO_DATE('01/15/2011 23:59:59', 'MM/DD/YYYY HH24:MI:SS'), 8, 95744);
    Insert into T_SALES
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    There are a lot of linear regression models and approaches for sales forecast out on the market, however I will focus on what oracle 11g offers i.e. package SYS.DBMS_DATA_MINING to create a model using regression as mining function and then, once the model is created, to apply prediction function on the model.
    Therefore I'll have to go through few steps:
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    CREATE OR REPLACE VIEW t_sales_norm AS
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    (sales - 91423.95)/27238.3693126778 sales_norm
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    select avg(sales) from t_sales;
    91423.95
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    27238.3693126778
    ii) auto-correlation. For the sake of simplicity, I will safely assume that there is no auto-correlation (no repetitive pattern in sales among the weeks). Therefore to define the lag data I will consider the whole set:
    CREATE OR REPLACE VIEW t_sales_lag AS
    SELECT a.*
    FROM (SELECT week,
    sales,
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    LAG(sales_norm, 2) OVER (ORDER BY week) L2,
    LAG(sales_norm, 3) OVER (ORDER BY week) L3,
    LAG(sales_norm, 4) OVER (ORDER BY week) L4,
    LAG(sales_norm, 5) OVER (ORDER BY week) L5,
    LAG(sales_norm, 6) OVER (ORDER BY week) L6,
    LAG(sales_norm, 7) OVER (ORDER BY week) L7,
    LAG(sales_norm, 8) OVER (ORDER BY week) L8,
    LAG(sales_norm, 9) OVER (ORDER BY week) L9,
    LAG(sales_norm, 10) OVER (ORDER BY week) L10,
    LAG(sales_norm, 11) OVER (ORDER BY week) L11,
    LAG(sales_norm, 12) OVER (ORDER BY week) L12,
    LAG(sales_norm, 13) OVER (ORDER BY week) L13,
    LAG(sales_norm, 14) OVER (ORDER BY week) L14,
    LAG(sales_norm, 15) OVER (ORDER BY week) L15,
    LAG(sales_norm, 16) OVER (ORDER BY week) L16,
    LAG(sales_norm, 17) OVER (ORDER BY week) L17
    FROM t_sales_norm) a;
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    L1, L2, L3, L4, L5, L6, L7, L8, L9, L10,
    L11, L12, L13, L14, L15, L16, L17
    FROM t_sales_lag a
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    v) finally, where I am confused is applying the prediction function against this model and making sense of the results.
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    LAG(sales,2) OVER (ORDER BY week) as l2,
    LAG(sales,3) OVER (ORDER BY week) as l3,
    LAG(sales,4) OVER (ORDER BY week) as l4,
    LAG(sales,5) OVER (ORDER BY week) as l5,
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    LAG(sales,16) OVER (ORDER BY week) as l16,
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    3, 77248, 85711.5003385927
    4, 106624, 98160.5009687461
    Each row out of 17, its own 'prediction' result.
    Same question: which one is my week 18th prediction ?
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    It is as always highly appreciated.
    Serge F.

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    Hello Jacques-Antoine,
    I suppose that as you have tried to construct a map from the schema, you have taken the elements from the List level down. In this case I also can't export the map.
    But if you take the elements from the level MySalesOrderUploaded down, you'll get the exportable map (screenshots)
    Best regards,
    Leonid Granatstein

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